1. Cell Biology
  2. Developmental Biology
Download icon

MACF1 controls skeletal muscle function through the microtubule-dependent localization of extra-synaptic myonuclei and mitochondria biogenesis

  1. Alireza Ghasemizadeh
  2. Emilie Christin
  3. Alexandre Guiraud
  4. Nathalie Couturier
  5. Marie Abitbol
  6. Valerie Risson
  7. Emmanuelle Girard
  8. Christophe Jagla
  9. Cedric Soler
  10. Lilia Laddada
  11. Colline Sanchez
  12. Francisco-Ignacio Jaque-Fernandez
  13. Vincent Jacquemond
  14. Jean-Luc Thomas
  15. Marine Lanfranchi
  16. Julien Courchet
  17. Julien Gondin
  18. Laurent Schaeffer
  19. Vincent Gache  Is a corresponding author
  1. Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, France
  2. Université Marcy l’Etoile, VetAgro Sup, France
  3. GReD Laboratory, Clermont-Auvergne University, INSERM U1103, CNRS, France
Research Article
  • Cited 0
  • Views 1,233
  • Annotations
Cite this article as: eLife 2021;10:e70490 doi: 10.7554/eLife.70490

Abstract

Skeletal muscles are composed of hundreds of multinucleated muscle fibers (myofibers) whose myonuclei are regularly positioned all along the myofiber’s periphery except the few ones clustered underneath the neuromuscular junction (NMJ) at the synaptic zone. This precise myonuclei organization is altered in different types of muscle disease, including centronuclear myopathies (CNMs). However, the molecular machinery regulating myonuclei position and organization in mature myofibers remains largely unknown. Conversely, it is also unclear how peripheral myonuclei positioning is lost in the related muscle diseases. Here, we describe the microtubule-associated protein, MACF1, as an essential and evolutionary conserved regulator of myonuclei positioning and maintenance, in cultured mammalian myotubes, in Drosophila muscle, and in adult mammalian muscle using a conditional muscle-specific knockout mouse model. In vitro, we show that MACF1 controls microtubules dynamics and contributes to microtubule stabilization during myofiber’s maturation. In addition, we demonstrate that MACF1 regulates the microtubules density specifically around myonuclei, and, as a consequence, governs myonuclei motion. Our in vivo studies show that MACF1 deficiency is associated with alteration of extra-synaptic myonuclei positioning and microtubules network organization, both preceding NMJ fragmentation. Accordingly, MACF1 deficiency results in reduced muscle excitability and disorganized triads, leaving voltage-activated sarcoplasmic reticulum Ca2+ release and maximal muscle force unchanged. Finally, adult MACF1-KO mice present an improved resistance to fatigue correlated with a strong increase in mitochondria biogenesis.

Introduction

Throughout skeletal muscle development, myonuclei actively move to settle at specific locations in the fully differentiated muscle fibers (myofibers) where they are regularly spaced along the longitudinal fiber axis, sitting at the periphery underneath the surface membrane (Roman and Gomes, 2018). The density of myonuclei along myofibers’ length remains relatively constant with the exception of the neuromuscular junction (NMJ), where ~5–6 myonuclei (synaptic myonuclei) are clustered immediately below the NMJ (Bruusgaard et al., 2006; Manhart et al., 2018; Ravel-Chapuis et al., 2007). Failure in proper extra-synaptic myonuclei patterning has been linked to different myopathies and muscle weakness (Collins et al., 2017; Falcone et al., 2014; Metzger et al., 2012; Perillo and Folker, 2018; Roman et al., 2017). This precise organization is correlated with a particular ‘flatten’ shape of the myonuclei, whose alteration has recently emerged as a potential contributor to several muscular diseases (Cho et al., 2017; Janin and Gache, 2018; Norton and Phillips-Cremins, 2017; Puckelwartz et al., 2009).

Proteins localized inside myonuclei such as Lamin A/C, Emerin, or Nuclear Envelope Proteins (NEPs), connect the nuclear lamina to the cytoskeleton through the ‘LInker of Nucleoskeleton and Cytoskeleton’ (LINC) complex, which plays a critical role in the maintenance of myonuclei shape and localization (Chang et al., 2015; Lee and Burke, 2018; Levy et al., 2018; Mattioli et al., 2011). Additionally, molecular motors and Microtubule-Associated Proteins (MAPs), in interaction with actin/microtubule networks, are also involved in myonuclei localization during muscle formation (Casey et al., 2003; Gache et al., 2017; Metzger et al., 2012; Rivero et al., 2009). Importantly, the specific localization and shape of myonuclei, determined by mechanical forces emanating from different cytoskeleton networks, act directly on chromatin organization and gene expression (Chojnowski et al., 2015; Kirby and Lammerding, 2018; Ramdas and Shivashankar, 2015; Robson et al., 2016). Yet, how myonuclei positioning in mature myofibers is set and how it regulates the signaling pathways maintaining myofiber integrity is still poorly understood.

To identify proteins involved in the maintenance of myonuclei positioning, we used an in vitro primary myotubes/myofibers culture system and identified MACF1 (Microtubule Actin Crosslinking Factor 1) as a regulator of myonuclei positioning during the late phases of myofiber maturation. MACF1 is a member of the spectraplakin family of proteins. It is a huge protein composed of multiple domains that allow its interaction with actin filaments and microtubules to stabilize them as adhesion structures in a variety of tissues (Kodama et al., 2003; Sanchez-Soriano et al., 2009). MACF1 gene duplication (resulting in a decrease of MACF1 protein) is linked with a neuromuscular disease condition (Jørgensen et al., 2014) and MACF1 variants are associated with congenital myasthenia (Oury et al., 2019). The C. elegans orthologous, VAB-10 and the Drosophila orthologous, Shot, are essential for nuclei migration in distal tip cells of the somatic gonad and myotendinous junction formation, respectively (Bottenberg et al., 2009; Kim et al., 2011; Lee and Kolodziej, 2002). Interestingly, Shot was proposed to contribute to the formation and maintenance of a perinuclear shield in muscle from drosophila larvae, contributing to myonuclei localization (Wang and Volk, 2015). However, the analysis of MACF1 functions in the control of extra-synaptic myonuclei position and muscle homeostasis is still pending.

Here, using in vitro and in vivo models, we report that MACF1 is important for the maintenance of myonuclei patterning in mammalian myofibers. MACF1 contributes to extra-synaptic myonuclei motion and positioning through the regulation of microtubules dynamics. We also reveal that MACF1 is essential for proper NMJ formation and mitochondria homeostasis.

Results

MACF1 uses microtubules to set myonuclei spreading during myofibers maturation

To identify new factors that contribute to myonuclei spreading in myofibers, we purified proteins able to bind to Taxol-stabilized microtubules from 3 days primary mouse myotubes and 13 days differentiated myofibers (Figure 1A). The major Microtubule-Associated-Proteins (MAPs) identified by mass-spectrometry using this protocol revealed the significant presence of MACF1 protein (Figure 1—figure supplement 1A–B). MACF1 is a member of the spectraplakin family known to play an architectural role through regulation of the spatial arrangement and function of specific organelles such as the nucleus, the mitochondria, the Golgi apparatus, and the sarcoplasmic reticulum (Boyer et al., 2010). MACF1 is a large protein mainly described as a cytoskeleton linker that binds and aligns microtubules and actin networks (Preciado López et al., 2014). In developing myofibers, actin is actively involved in myoblasts fusion and contributes to sarcomere formation (Kim et al., 2015; Sanger et al., 2010) while microtubules actively participate in myofiber elongation and myonuclei spreading (Metzger et al., 2012). Although MACF1 was initially described to be predominantly expressed in neurons and muscle (Bernier et al., 2000), its role in muscle fibers remains elusive. We first addressed the localization of MACF1 in mature myofibers formed in vitro. Our immunofluorescence approach revealed a dotted pattern all along the myofibers that mainly colocalized with its cortical microtubule network, in agreement with our mass-spectrometry results (Figure 1B). Of importance, MACF1 accumulates preferentially around the peripheral myonuclei in mature myofibers (Figure 1B, zoom panels). Conversely, MACF1 is clearly excluded from actin network structures (Figure 1B).

Figure 1 with 2 supplements see all
MACF1 is an essential regulator of myonuclei positioning in mature myofibers.

(A) Scheme presentation of the sequential steps to obtain immature myotubes and mature myofibers from primary mouse myoblasts. Taxol stabilized microtubules proteome was collected either from WT elongated myotubes or from mature contractile myofibers. For downregulating experiments, siRNA/shRNA were transfected in early steps of differentiation just before myotubes formation. (B) Confocal immunofluorescence images (63×) presenting the organization of MACF1 (green) and total alpha tubulin or F-actin (red) in WT mature mouse primary myofibers. Scale bar = 10 µm. (C) Western blot analysis of MACF1 protein expression (main two isoforms at 830 and 630 kD) in total protein extracts of primary cells at proliferation cycle (GM for growth media) and in 3- or 5 days post-differentiation myotubes or myofibers. Cells were treated either with a scramble shRNA or a pool of four shRNAs targeting Macf1. GAPDH was used as loading control. (D) Immunofluorescence staining (10×) of F-actin (green) and myonuclei (red) in primary myofibers treated either with scramble shRNA (left panel) or with a pool of four distinct shRNAs targeting Macf1 (right panel) after 13 days of differentiation. Scale Bar = 50 µm. (E) Representative immunofluorescence microscopy images (63×) of F-actin (green) and myonuclei (red) in primary myofibers treated with scramble shRNA (left panel) or with a pool of four distinct shRNAs targeting Macf1 (right panel) after 13 days of differentiation. Scale Bar = 10 µm. (F) Sarcomere length measured on the immunofluorescence images of F-actin from 13 days mature primary myofibers treated with either scramble shRNA or a pool of four distinct shRNAs targeting Macf1. Data were obtained from three individual experiments. Line is set at median. Ns stands for not significant (Student’s t test). (G) Confocal immunofluorescence images (63×) presenting the organization of total alpha tubulin (red) or MACF1 (green) in mature primary myofibers following treatment with either scramble shRNA (left panel) or a pool of four distinct shRNAs (right panel) targeting Macf1. Scale bar = 10 µm. (H–J) Mean values for fluorescent intensity of total alpha tubulin (H), myonuclei ferret (I) and distance between adjacent myonuclei (J) measured on mature primary myofibers following treatment with either scramble shRNA or a pool of four distinct shRNAs targeting Macf1. All panels were generated from data obtained from three individual experiments. Line is set at median. *p<0.05 and ***p<0.001 (Student’s t test).

To determine whether MACF1 is important for skeletal muscle development, we addressed its role during myotubes formation and in mature myofibers. Mouse Macf1 mRNA was previously shown to increase steadily during myogenesis (Leung et al., 1999). We first observed an absence of MACF1 in proliferating myoblasts and confirmed a burst of MACF1 protein expression during the early steps of myotubes formation using primary mouse myoblasts cells and the C2C12 myogenic cell line (Figure 1C, Figure 1—figure supplement 1C–D). MACF1 expression was dramatically reduced upon transfection of siRNA or small hairpin RNA (shRNA) targeting the MACF1 mRNA compared to their respective scrambled (Scr) controls (Figure 1C, Figure 1—figure supplement 1C). MACF1 down-regulation had no impact on myotubes formation and architecture, as reflected by the unaffected ratio of myotube length to myonuclei content (Figure 1—figure supplement 1E–F). In accordance, neither myonuclei distribution as assessed by the mean distance between myonuclei and myotube’s centroid nor the statistical distribution of myonuclei along myotubes length were affected following MACF1 down-regulation (Figure 1—figure supplement 1G–I). These results were confirmed in C2C12 myotubes cells where no alteration in myonuclei spreading was observed following MACF1 downregulation (Figure 1—figure supplement 1J).

To further investigate the implication of MACF1 in mature myofibers, primary mouse myotubes were maintained in differentiation media for 10 additional days using a protocol that allows myofibrillogenesis, sarcomeric structures formation and peripheral myonuclei adopting a flatten architecture and regular spreading along myofibers (Falcone et al., 2014). This long-term differentiation approach showed that MACF1 depletion did not impact the global maturation of myofibers, as reflected by homogeneous myofibers width and unaffected actin network striation (Figure 1D–F; Figure 1—figure supplement 2A). Yet, when addressing the global integrity of the microtubule network in these mature myofibers by immunofluorescence, we found a 50% decrease of the microtubule staining intensity in the vicinity of the myonuclei perimeter and an apparently less dense cortical network (Figure 1G–H). Accordingly, myonuclei shape was much rounder in MACF1-depleted condition, as appreciated by a significant reduction of the myonuclei feret diameter (Figure 1I, Figure 1—figure supplement 2B). As microtubules are used in developing myofibers by multiple molecular motors to determine myonuclei spreading (Gache et al., 2017), we investigated the impact of MACF1 depletion on this process and observed a significant reduction in the mean distance between adjacent myonuclei (Figure 1J, Figure 1—figure supplement 2C) in MACF1-depleted myotubes.

MACF1 controls microtubules dynamics and myonuclei motion in developing muscle fibers

To better understand the localization of MACF1, as driven by its Microtubule Binding Domain (MTBD), we expressed only the MTBD of MACF1 in immature primary myotubes and in mature primary myofibers (Figure 2A–B). Interestingly, in primary myotubes, MACF1-MTBD appeared as small comets that merged with the microtubule network all along myotubes length (Figure 2A). In contrast, in mature myofibers, we observed a strong accumulation of stable MACF1-MTBD longitudinal bundles close to myonuclei, in addition to small comets dispersed along the myofibers (Figure 2B).

MACF1 regulates myonuclei dynamics through the control of microtubules.

(A–B) representative confocal immunofluorescence images (63×) presenting MACF1-MTBD (green) and tyrosinated alpha tubulin (red) in primary myotubes (A) or alpha actinin (red) in primary myofibers (B). Scale bar = 10 µm. (C) Quantification of EB3 comets speed in primary cells treated with either scramble siRNA or a pool of 3 individual siRNAs targeting Macf1 in primary myotubes at three different time points during maturation. At least 200 comets from three individual experiments were mapped per condition. Line is set at median. Ns stands for not significant, *p<0.05 and **p<0.01 (Student’s t test). (D) Frames from a 14 hr time-lapse movie of two channels (shRNA in green and lamin-chromobody in red) taken 5 days post differentiation from primary myotubes treated with either a scramble shRNA (upper panel) or a mix of shRNAs targeting Macf1 (lower level). In the first frame (on the left), myofibers are selected in white, which corresponds to the region used to create the adjacent kymograph. Scale bar = 10 µm. (E–H) Speed (E), Time in motion (F), Duration of pauses (G), and Distance travelled by myonuclei (H) were quantified using SkyPad analysis (Cadot et al., 2014). Quantifications were done on myonuclei within different myofibers from three individual experiments. Line is set at median. Ns stands for not significant, *p<0.05, **p<0.01, and ***p<0.001 (Student’s t test).

MACF1 was previously shown to regulate microtubules polymerization (Alves-Silva et al., 2012; Ka et al., 2016; Wang et al., 2015). We thus questioned, in our system, how microtubule dynamics evolve during the myofibers maturation steps and whether MACF1 depletion impacts this process. To study the microtubule network dynamics in developing myofibers, we used the tracking of a fluorescently-tagged End Binding protein member (EB3) at different time points during maturation of in vitro primary myofibers (Figure 2C, Video 1). During myofibers maturation process, EB3-comets speed was relatively constant (≈ 19 μm/min) until 5 days of maturation. After this time point, EB3-comets speed decreased significantly, reflecting a progressive downturn in microtubule dynamics (Oddoux et al., 2013; Figure 2C). However, the velocity of EB3 comets was increased by 15% upon MACF1 downregulation and remained high (≈ 23 μm/min) all along the process of myofibers maturation (Figure 2C). This is consistent with a role for MACF1 in the regulation of microtubule polymerization, mainly as a stabilization factor. As myonuclei preferentially use the microtubule network to move longitudinally along myotubes (Gache et al., 2017; Metzger et al., 2012), we next investigated the impact of the increase in microtubule dynamics on myonuclei movements during myofibers maturation. Just before fusion, myoblasts were co-transfected with the lamin-chromobody to visualize myonuclei concomitantly with a shRNA targeting either a scramble sequence or Macf1, and a GFP reporter (Figure 2D, Video 2). We tracked myonuclei in 5-day-differentiated myofibers every 15 min for 14 hr and analyzed their displacement parameters by the SkyPad method (Cadot et al., 2014). In control conditions, myonuclei spent 32% of the time in motion at a median speed of 0.16 μm/min, resulting in a displacement of 24 μm after 14 hr (more than twice bigger than the mean myonuclei feret). Interestingly, in the absence of MACF1, the median velocity of myonuclei was not significantly changed (Figure 2E) but the percentage of time that myonuclei spent in motion was doubled, reaching 66% of the time (Figure 2F). Accordingly, the median motion pause was 530 min in the control conditions while it fell down to 330 min in the absence of MACF1 (Figure 2G). Overall, in the absence of MACF1, myonuclei traveled twice more distance than in control conditions with a mean distance of 44 μm in 14 hr (Figure 2H).

Video 1
Time-lapse experiments of primary myoblasts co-transfected with EB3-GFP plasmid and Scramble-siRNA at 1 day, 5 days, and 10 days post ‘late differentiation’ initiation (left panels) or primary myoblasts co-transfected with EB3-GFP plasmid and Macf1- siRNA at 1 day, 5 days, and 10 days post ‘late differentiation’ initiation (right panels).

Each frames represent 500 milliseconds and was recorded for a period of time of 7 s.

Video 2
Time-lapse experiments of primary myoblasts co-transfected with Lamin-Chromobody-RFP plasmids and either Scramble shRNA (left panel) or a pool of four individual Macf1 shRNA (rigth panel).

Time laps images were captured form myotubes 5 days after starting differentiation process. Primary myotubes were recorded every 15 min for a period of time of 14 hr.

Thus, depletion of MACF1 generates increased microtubule dynamics, which in turn elevate myonuclei motion during myofibers maturation, inducing failure in myonuclei spreading in mature myofibers.

Conditional MACF1-KO adult mice show microtubule network disorganization in their skeletal muscle fibers

To further investigate the role of MACF1 in skeletal muscle development, we used a conditional Macf1 knockout mouse line in which exons 6 and 7 of the Macf1 gene are floxed (Goryunov et al., 2010). Homozygous mice were crossed with mice carrying the Cre-recombinase expression under the control of the Human Skeletal muscle Actin (HSA) promoter (Miniou, 1999). Briefly, mice carrying two floxed alleles of Macf1 (Macf1f/f) were crossed with heterozygous mice for Macf1 (Macf1f/-) that carried the HSA::Cre transgene (HSA::Cre; Macf1f/−), generating the conditional mutant (HSA::Cre; Macf1f/f; hereafter referred to as Macf1 Cre+) and control mice (WT; Macf1f/f referred as Macf1 Cre-) (Figure 3A–B). We quantified the efficiency of this approach by measuring the loss of MACF1 mRNA in muscle lysates and observed that its levels were reduced by 70% (Figure 3C, Figure 3—figure supplement 1A). Besides, MACF1 downregulation was confirmed by western blotting (Figure 3—figure supplement 1B). Macf1 conditional-KO mice were born at Mendelian frequency and appeared indistinguishable from WT littermates (data not shown). Comparing the body weight evolution between conditional-KO (Macf1 Cre+) and control mice (Macf1 Cre-) throughout growing and maturation did not reveal any difference between the two groups (Figure 3—figure supplement 1C–E).

Figure 3 with 1 supplement see all
MACF1 is necessary for global and perinuclear microtubules organization within skeletal muscles in vivo.

(A) Scheme of the strategy used to generate muscle specific Macf1 knockout mouse model. (B) Representative PCR gel confirming the floxed Macf1 gene in mutant mice carrying Cre transgene. (C) Quantification of efficacy of the Cre-lox system in our muscle specific mouse model by analyzing the Macf1 gene expression level. qRT-PCR was carried out on total mRNA extracted from Gastrocnemius of 3 WT and 3 Macf1 KO mice of 12-month-old. Following the calculation of relative gene expression level on housekeeping genes for each mouse, the mean expression level of Macf1 was calculated for the WT mice. To generate the graph, the Macf1 expression level of each WT and KO mouse was then normalized on the previously calculated mean value. Line is set at mean (with SEM). ***p<0.001 (Student’s t test). (D) Representative confocal images (63×) of isolated myofibers from Tibialis Anterior of Macf1 Cre- (upper panel) and Cre+ (lower panel) mice, showing MACF1 (green), myonuclei (blue) and microtubules or F-actin (red). Scale Bar = 15 µm. (E) Sarcomere length quantified from the alpha actinin staining from 3 Macf1 Cre- and 3 Macf1 Cre+ 12-month-old mice. Following myofibers isolation from Tibialis Anterior, the distance between alpha actinin transverse bands of 3 myofibers per mouse was measured. Line is set at mean (with SD). Ns stands for not significant (Mann-Whitney test). (F) Microtubules network organization analysis of at least three myofibers from each of the three WT and three conditional Macf1-KO mice using TeDT software. The final generated graph presents a global score for each given degree of microtubules orientation, with 0 and 180 degrees corresponding to the longitudinal microtubules and 90 degrees corresponding to the transverse microtubules. Mean values (with SEM) is presented. (G) Representative confocal images (63×) from myofibers isolated from Tibialis Anterior issued from 12-month-old Macf Cre- (upper panel) or Cre+ (lower panel) mice, presenting tyrosinated tubulin (green), de-tyrosinated tubulin (red) and myonuclei (blue). White arrows point to myonuclei. Scale Bar = 15 µm. (H) Quantification of the percentage of myonuclei presenting the total de-tyrosinated tubulin ring. Quantifications were done on confocal images obtained from several isolated myofibers from Tibialis Anterior of three WT and three conditional Macf1-KO mice at the age of 12 months. Line is set at median. ***p<0.001 (Student’s t test).

We first addressed the impact of MACF1 depletion on the cytoskeleton network using mature myofibers extracted from the Tibialis Anterior muscles of WT and conditional MACF1-KO mice. As expected from our in vitro experiments, immunofluorescence approach confirmed the preferred co-localization of MACF1 with the microtubule network rather than with the actin network (Figure 3D). We also observed a clear accumulation of MACF1 in the vicinity of myonuclei (Figure 3D, arrows) as previously reported in Drosophila myofibers but not in murine myofibers (Oury et al., 2019; Wang et al., 2015). In Macf1 Cre+ muscle myofibers, MACF1 staining was clearly less intense all along the myofibers and particularly within the myonuclei vicinity. Also, the microtubule network organization was clearly altered in Macf1 Cre+ myofibers while there was no concurrent sign of actin network defect (Figure 3D). The preserved integrity of the actin network was confirmed by the absence of change in sarcomere length at different ages (Figure 3E, Figure 3—figure supplement 1F). To quantify the spatial disorganization of the microtubule network, we used a texture detection tool (TeDT) (Liu and Ralston, 2014). Our data show that the longitudinal microtubule network is the most affected regardless of the age of the animals (2-, 6-, or 12-month-old mice (Figure 3F, Figure 3—figure supplement 1G–H)), in agreement with the loss of MACF1 staining in the Macf1 Cre+ muscle myofibers (Figure 3D). Altogether, these evidences demonstrate that MACF1 stabilizes the microtubule network during myofibers maturation.

MACF1 can modulate microtubule dynamics through the interaction with different partners such as CLAPS2, EB1, CAMSAP3, Nesprin, Map1B, ErbB2 (Ka et al., 2014; Noordstra et al., 2016; Pereira et al., 2006; Ryan et al., 2012; Zaoui et al., 2010). In addition, microtubules are subject to a variety of post-translational modifications (PTMs) that are associated with changes in microtubules dynamics (Nieuwenhuis and Brummelkamp, 2019). Among these, tubulin de-tyrosination is associated with longer-living microtubules, whereas dynamic microtubules are mainly tyrosinated (Bulinski and Gundersen, 1991). To further investigate the role of MACF1 in the long-term balance of microtubule dynamic in myofibers, we addressed the microtubule tyrosination/de-tyrosination status in muscles from our conditional-KO and control mice (Figure 3G–H). In Macf1 Cre- muscle fibers, tyrosinated tubulin is found all along microtubules and in the vicinity of myonuclei along myofibers. Conversely, de-tyrosinated tubulin was found preferentially in the vicinity of myonuclei. While in Macf1 Cre+ muscles, there was no change in the tyrosinated tubulin pattern, de-tyrosinated tubulin staining at myonuclei periphery was either severely reduced or absent (Figure 3G, arrows). Interestingly, this modification was relevant only in muscles from 12-month-old Macf1 Cre+ mice (Figure 3H, Figure 3—figure supplement 1I), suggesting a progressive impact of MACF1 loss on the microtubules pattern. Therefore, MACF1 plays a critical role in the long-term maintenance of stability of the peri-nuclear and longitudinal microtubule network of myofibers.

Muscle-specific conditional MACF1-KO mice exhibit progressive myonuclei mislocalization

We next assessed myonuclei localization along muscle fibers of Macf1 Cre+ mice. Tibialis Anterior myofibers were extracted from 2-, 6-, and 12 months old Macf1 Cre- and Macf1 Cre+ mice and immunofluorescence staining was used to analyze myonuclei distribution (Figure 4A). We found that the shortest distance between neighboring myonuclei was increasing throughout development in wild-type muscles, reaching a plateau at 6 months of age (Figure 4B). In MACF1 depleted myofibers, not only this increase was not observed during development but there was also a significant drop in the value for the distance between myonuclei in myofibers from 12-month-old mice (Figure 4B). In addition, the increase in the myonuclei feret value observed in control myofibers, was abolished in Macf1 Cre+ myofibers (Figure 4C), leading to an increase in myonuclei roundness (Figure 4D), consistent with the slackening of the cytoskeleton pressure on the myonuclei membrane (Wang et al., 2015).

Figure 4 with 1 supplement see all
Loss of MACF1 alters myonuclei shape and positioning progressively with age.

(A) Representative confocal images (63×) of myofibers isolated from Tibialis Anterior of Macf1 Cre- (upper panel) and Cre+ (lower panel) mice at the age of 12 months presenting alpha-actinin (green) and myonuclei (red). Scale Bar = 15 µm. (B–D) Quantification of distance between the nearest myonuclei (B), myonuclei feret (C) and myonuclei roundness (D) measured on isolated myofibers from Tibialis Anterior of Macf1 Cre- and Cre+ mice (as presented in panel A) at 2-, 6-, and 12 months of age. Several myofibers were subjected to analysis per mouse. Each group gathers data obtained from myofibers of 3 or more mice. Line is set at median. **p<0.01 and ***p<0.001 (Student’s t test). (E) Representative images of Tibialis Anterior muscle cross-section from Macf1 Cre- (left panels) and Macf1 Cre+ (right panels) mice at the age of 8 and 12 months, stained for myonuclei (red) and Laminin (green). Examples of myofibers with mis-localized myonuclei are indicated by white arrows. Scale Bar = 150 µm. (F) Quantification of the percentage of myofibers with mis-localized myonuclei in Tibialis Anterior of 3, 8, and 12 months-old Macf1 Cre- and Macf1 Cre+ mice. Line is set at median. Ns stands for not significant and ***p<0.001 (Student’s t test). (G) Distribution of myofibers cross-section area in the Tibialis Anterior from 3-, 8-, and 12-months-old Macf1 Cre- and Macf1 Cre+ mice. Line is set at mean (with SEM). Ns stands for not significant, *p<0.05 and **p<0.01 (Student’s t test).

In normal conditions, myonuclei are regularly spaced at the periphery along muscle fibers (Bruusgaard et al., 2006). We compared myonuclei localization in different types of muscles from Macf1 Cre- and Macf1 Cre+ mice by analyzing muscle cross-sections stained with DAPI and laminin (to determine the limit of each myofiber) (Figure 4E, Figure 4—figure supplement 1A). We observed a significant increase in the number of delocalized myonuclei in the Macf1 Cre+ muscles, either at the center or elsewhere dispatched within the myofibers of several skeletal muscles (Tibialis Anterior, Soleus and Gastrocnemius) in 12-month-old mice (Figure 4E–F, Figure 4—figure supplement 1A–B). Interestingly, no significant delocalization of myonuclei was observed in 3- and 8-month-old mice (Figure 4—figure supplement 1A–B), suggesting that peripheral myonuclei alteration precede myonuclei internalization. Remarkably, peripheral myonuclei spreading is altered concomitantly with microtubules disorganization, while myonuclei internalization correlates with the disappearance of stable microtubules around myonuclei. With respect to myofiber size, no significant alteration was detected in the cross-sectional area (CSA) in Tibialis Anterior muscles from 3-month-old mice (Figure 4G). Nonetheless, we observed a shift of the distribution towards a smaller CSA in muscles from 8-month-old Macf1 Cre+ mice, which was maintained at 12 months of age (Figure 4G). Of note, changes in myonuclei positioning were not associated with an alteration in the total number of myofibers per muscle (Figure 4—figure supplement 1C), nor with a massive regeneration process, as evidenced by the absence of Myogenin or MyoD mRNA upregulation (Figure 4—figure supplement 1D–E). Thus, MACF1 is implicated in the maintenance of peripheral myonuclei spreading in adult myofibers as well as in the prevention of myonuclei internalization.

MACF1-deficient muscles exhibit progressive neuromuscular junction alteration

MACF1 contributes to the maintenance of the neuromuscular junction (NMJ) by recruiting microtubules at that location (Oury et al., 2019) where synaptic myonuclei are clustered underneath the junction (Bruusgaard et al., 2006). We thus investigated the potential implication of MACF1 in myonuclei clustering at the NMJ. Immunofluorescence staining revealed no clear accumulation or specific localization of MACF1 at the NMJ, in contrast with a previous report on mouse muscle (Oury et al., 2019). However, consistent with observations from this group, there was a clear progressive alteration of acetylcholine receptors (AChRs) patterning in myofibers from Macf1 Cre+ mice, characterized by a decrease of AChRs clusters size and an increase of NMJ fragmentation (Figure 5A–C). This AChRs clustering impairment was confirmed in different muscles (Tibialis Anterior, Extensor Digitorum Longus, and Rectus Lateralis) (Figure 5—figure supplement 1A–B). We also confirmed these results on the neuromuscular junction of Drosophila model, using the muscle-specific driver (Mef2-GAL4) to express RNAi against Drosophila Shot (Macf1 orthologous) (Wang et al., 2015). Immunostaining against Shot confirmed a preferential localization of the protein around myonuclei but not at the NMJ and showed a significant reduction of protein level around myonuclei in Shot-KD larval muscles (Figure 5—figure supplement 1C–D). In accordance with the conditional-KO mouse model, we found that the size of active zones of synaptic buttons and post-synaptic terminals were decreased in Shot-KD larval muscles (Figure 5—figure supplement 1E–F).

Figure 5 with 1 supplement see all
MACF1 controls AChRs clustering but has no impact on synaptic myonuclei at the NMJ.

(A) Representative confocal images (63×) of post-synaptic NMJs within isolated myofibers from Tibialis Anterior of Macf1 Cre- (left panel) and Cre+ (right panel) mice at the age of 12 months presenting MACF1 (green), AChRs clusters (red) and myonuclei (blue). Scale Bar = 10 µm. (B–D) Quantification of post-synaptic NMJs area (B), number of AChRs clusters (C) and number of synaptic myonuclei (D) measured on myofibers isolated from Tibialis Anterior of Macf1 Cre- and Cre+ mice (as presented in panel A) at 2-, 6-, and 12 months of age. Several myofibers were subjected to analysis per mouse and each group is formed from at least three mice. Line is set at median. Ns stands for not significant, *p<0.05, **p<0.01 and ***p<0.001 (Student’s t test). (E) Representative confocal images (63×) presenting tyrosinated tubulin (green), de-tyrosinated tubulin (red), and AChRs clusters (blue) in myofibers isolated from Tibialis Anterior of Macf1 Cre- (three left panels) and Cre+ (three right panels) mice at the age of 12 months. Scale Bar = 10 µm. (F) Quantification of the ratios of fluorescence intensity from tyrosinated tubulin to total tubulin, de-tyrosinated tubulin to total tubulin and de-tyrosinated tubulin to tyrosinated tubulin. The mean fluorescence intensity of each given staining was measured specifically for the post-synaptic NMJs area (as presented in panel E) on NMJs of myofibers isolated from Tibialis Anterior of Macf1 Cre- and Cre+ mice at the age of 12 months. Line is set at median. Ns stands for not significant (Student’s t test). (G) Scheme of the strategy used to induce sciatic nerve crush and subsequent analysis of muscle fibers from Macf1 Cre- and Cre+ mice. (H) Distribution of myofibers cross-section areas from non-denervated (referred as ND) and denervated (referred as D) Tibialis Anterior muscles of Macf1 Cre- and Cre+ mice at the age of 8 months. Line is set at mean (with SEM). (I–J) Quantification of post-synaptic NMJs area (I) and number of synaptic myonuclei (J) measured on isolated myofibers from non-denervated (referred as ND) and denervated (referred as D) Tibialis Anterior muscles of Macf1 Cre- and Cre+ mice at the age of 8 months. Line is set at median. *p<0.05, **p<0.01, and ***p<0.001 (Student’s t test). (K) Representative fluorescence images (63×) of AChRs clusters (green) and myonuclei (red) in myofibers treated with scramble shRNA (two upper panels) or with a pool of the four distinct shRNAs targeting Macf1 (two lower panels) after 10 days of differentiation in presence of Agrin in culture medium. Scale Bar = 10 µm. (L) Percentage of myofibers expressing immunofluorescence staining for AChRs in primary myofibers treated with scramble shRNA, with each of the four distinct shRNAs or with a pool of these four distinct shRNAs targeting Macf1 after 10 days of differentiation in the presence of Agrin. Data are from three individual experiments. Line is set at median. Ns stands for not significant (Student’s t test). (M) AChRs clustering distribution in cells treated with scramble shRNA, with each of the four individual shRNAs or with a pool of the four individual shRNAs targeting Macf1 after 10 days of differentiation in the presence of Agrin. Data was collected from three individual experiments for each condition. Line is set at median. Ns stands for not significant, *p<0.05 and **p<0.01 (Student’s t test).

We next studied the association of synaptic myonuclei with the NMJ. We observed a progressive recruitment of myonuclei underneath the NMJ in Tibialis Anterior myofibers of control mice with age, concomitant with an enlargement of the area occupied by AChRs. In control mice, the number of synaptic myonuclei increased from approximately 7 at 2 months of age to 11 at 12 months of age (Figure 5D). In MACF1-depleted myofibers (Macf1 Cre+), there was no new recruitment of synaptic myonuclei over the same period and the number of synaptic myonuclei remains close to 7 from 2- to 12 months of age (Figure 5D). As we identified that microtubule network is altered along muscle fibers in MACF1-depleted condition, we analyzed the potential changes in tyrosinated/de-tyrosinated tubulin distribution at the NMJ. Surprisingly, tubulin accumulation was not observed around the synaptic myonuclei of control myofibers, in contrast with the pattern observed at extra-synaptic nuclei (Figure 5E, Figure 3G). Instead, we detected tubulin accumulation close to the NMJ site of MACF1 mutant mice with a blurry patterning. Nonetheless, de-tyrosinated tubulin accumulation appeared highly correlated with AChRs staining even when AChR clusters were fragmented in the conditional-KO mice (Figure 5E, arrows). Finally, the ratio of both tyrosinated and de-tyrosinated tubulin vs total tubulin at NMJs were not different between Macf1 Cre- and Macf1 Cre+ mice (Figure 5F). This suggests that the role of MACF1 at the NMJ is not related to myonuclei clustering nor to the control of microtubule dynamics but is instead associated with AChRs clustering.

To further check that synaptic myonuclei location does not depend on MACF1, we used a sciatic nerve crush protocol to induce denervation (Figure 5G; Milanic et al., 1999). Using this technique, we clearly observed atrophy of the muscle fibers together with a reduction in the AChRs area in both Macf1 Cre- and Macf1 Cre+ conditions (Figure 5H–I). Interestingly, 15 days following denervation, the similar number of synaptic myonuclei per NMJ was lost in both Macf1 Cre- and Macf1 Cre+ conditions (Figure 5J), confirming that MACF1 is not directly implicated in the maintenance of synaptic myonuclei.

As the role of MACF1 at the NMJ seemed specifically related to AChR clustering, we tested whether MACF1 depletion in myofibers in vitro would fail to precociously cluster AChRs. For this, agrin-supplemented culture medium was used during in vitro differentiation of myofibers as this is known to induce clustering of AChRs (Lin et al., 2005; Schmidt et al., 2012; Vilmont et al., 2016Figure 5K). Using immunofluorescence staining, we found that, even though the proportion of shRNA-MACF1-transfected myofibers expressing AChRs was not changed (Figure 5L), they displayed a 20% drop in the number of those presenting AChR clusters with a diameter larger than 8 μm (Figure 5M). This demonstrates that MACF1 is required for efficient AchR clustering in the myofiber.

Altogether, MACF1 is required to maintain the neuromuscular synapse integrity through AChRs clustering in developing and differentiated myofibers, which in turn controls synaptic myonuclei recruitment at the NMJ.

Muscle fibers from MACF1-KO mice show muscle excitability defects and T-tubules alteration with preserved excitation-contraction coupling

To determine whether the above-described alterations impact muscle function, we tested muscular performance in young (4-month-old) and in adult (12-month-old) Macf1 conditional-KO mice compared to age-matched control animals. The formers are mainly characterized by peripheral extra-synaptic myonuclei disorganization, while the latters also exhibit large internalization of extra-synaptic myonuclei mice. We used a strictly non-invasive experimental setup offering the possibility to stimulate the hindlimb muscles in vivo to record force production. Force was measured in response to incremental stimulation frequencies (from 1 to 100 Hz) to obtain the force-frequency relationship. There was no significant difference in the values for maximum force produced between the two groups, irrespective of the mouse age. However, in young mice, there was a large rightward shift of the force production capacity in conditional Macf1 KO mice (Figure 6A), suggesting alteration of either the neuromuscular transmission or of the excitation-contraction coupling process. Of note, this shift was also maintained in adult mice, although in a less pronouced manner (Figure 6A).

Muscle-specific Macf1 knockout affects muscle force production and T-tubule organization but leaves SR Ca2+ release unchanged.

(A) Force production from the Hindlimb muscles in young (4 months) and adult (12 months) Macf1 Cre- and Macf1 Cre+ mice in response to various incremental stimulation frequencies (from 1 to 100 Hz). Line is set at median. *p<0.05 and **p<0.01 (Student’s t test). (B) Representative electron microscopy images of myofibrils and T-tubule organization within Tibialis Anterior muscles from 12-month-old Macf1 Cre- and Macf1 Cre+ mice. Scale Bar = 0.5 µm. (C) Representative fluorescence microscopy images of di-8-anepps staining of the T-tubule network in Flexor Digitalis Brevis muscle fibers of 12-month-old Macf1 Cre- and Macf1 Cre+ mice. Scale Bar = 15 µm. (D–F) Quantification of T-tubules density index (D), Sarcomere length (E) and T-tubules orientation (F) in Flexor Digitalis Brevis muscle fibers from 12-month-old Macf1 Cre- and Macf1 Cre+ mice. Mean with SD is showing. Ns stands for not significant and *p<0.05 (Student’s t test). (G) Representative rhod-2 Ca2+ transients in a Macf1 Cre- and in a Macf1 Cre+ fiber in response to 0.5 s-long depolarizing pulses from −80 mV to the range of indicated values, with intervals of 10 mV. (H) Corresponding Ca2+ release flux (d[CaTot]/dt) traces calculated as described in the Materials and methods. (I) Mean voltage-dependence of the peak rate of SR Ca2+ release in Macf1 Cre- and in a Macf1 Cre+ fibers. (J) Inset shows the mean values for maximal rate, half-activation voltage and steepness factor (k) for SR Ca2+ release in the two groups of fibers, as assessed from Boltzmann fits to data from each fiber.

In skeletal muscle, triads consist of one transverse tubule (T-tubule) with two appended terminal cisternae of sarcoplasmic reticulum (SR). The triad is the structure where excitation-contraction coupling (ECC) takes place. Efficient triad formation has been linked to microtubule organization in muscle cells (Osseni et al., 2016). Since Macf1 conditional-KO myofibers exhibit microtubule disorganization, we used electron microscopy to study the ultrastructure of muscle in Macf1 Cre+ mice and analyzed T-tubules and SR organization (Figure 6B). We found signs of alteration of the T-tubules in some Macf1 Cre+ myofibers (Figure 6B, white arrows) consistent with a possible alteration of ECC. To test this possibility, we compared voltage-activated SR Ca2+ release in Flexor Digitalis Brevis (FDB) muscle fibers isolated from conditional Macf1 Cre+ mice and control mice. Confocal staining using di-8-anepps showed an overall comparable structure of T-tubule network in Macf1 Cre- and in Macf1 Cre+ FDB muscle fibers (Figure 6C -top and -middle panels). However, some isolated muscle fibers from the conditional mutant mice exhibited strong alteration of T-tubule orientation without perturbation in T-tubules density or sarcomere length (Figure 6C -Bottom panel, D-F). We next tested if SR Ca2+ release amplitude and kinetics are affected in Macf1 Cre+ muscle fibers. Figure 6G shows rhod-2 Ca2+ transients elicited by membrane depolarizing steps of increasing amplitude in a Macf1 Cre- and in a Macf1 Cre+ fibers. As routinely observed under these conditions (Kutchukian et al., 2017), transients in control fibers exhibit a fast early rising phase upon depolarization followed by a slower phase at low and intermediate voltages and by a slowly decaying phase for the largest depolarizing steps. As shown in Figure 6H, rhod-2 transients from Macf1 Cre+ fibers exhibited an overall similar time-course, not distinguishable from control muscle fibers. In each tested fiber, the rate of SR Ca2+ release was calculated from the rhod-2 Ca2+ transients. Traces for the calculated rate of SR Ca2+ release corresponding to the transients shown in Figure 6H are shown in Figure 6I. In both fibers, the rate exhibits a similar early peak, whose amplitude increases with that of the pulse, followed by a spontaneous decay down to a low level. The SR Ca2+ released peak amplitude was similar in Macf1 Cre- and in Macf1 Cre+ muscle fibers for all voltages (Figure 6I) and the time to reach the peak was also not affected in the Macf1 Cre+ muscle fibers (Figure 6I, values not shown). Mean values for maximal rate of SR Ca2+ release (Max d[Catot]/dt), mid-activation voltage (V0.5) and slope factor (k) of the voltage-dependence were statistically unchanged in Macf1 Cre+ muscle fibers compared to control fibers (Figure 6J). Accordingly, there was also no change in the voltage-dependent Ca2+ channel activity of the dihydropyridine receptor (also referred to as CaV1.1, the voltage-sensor of excitation-contraction coupling) in fibers from Macf1 Cre+ mice (not shown).

Overall, despite some structure alterations, myofibers isolated from Macf1 conditional-KO mice exhibit efficient voltage-activated SR-Ca2+ release, strongly suggesting that altered force-frequency relationship is related to neuromuscular transmission deficiency.

MACF1 controls mitochondria biogenesis in skeletal muscle

During our studies on muscle excitability, measurement of the absolute maximal force developed by Macf1 conditional KO mice was not changed compared to control mice (data not shown) but when we questioned the fatigability of those muscles, we found that in both young and old mice, Macf1 Cre+ are more resistant to fatigue compared to control mice (Figure 7A). Since skeletal muscles are composed of a functional and metabolic continuum of slow (type I) and fast fibers (types IIa and IIx) known to distinctively rely on metabolic pathways and mitochondrial activity, we first questioned whether there were changes in the mitochondrial pool of adult conditional-KO mice. We measured the intensity of succinate dehydrogenase (SDH) staining, indicative of mitochondrial activity, and found a significant increase in the number of fibers with strong positive succinate dehydrogenase staining in Tibialis Anterior muscle from 12-month-old Macf1 Cre+ compared to control mice (Figure 7B–C). As the intensity of SDH staining is commonly used to discriminate slow and fast fibers, we investigated if the proportion of slow fibers was changed in Macf1 Cre+ mice. Cross-sections of 12-month-adult muscles from the Tibialis Anterior, Soleus and Gastrocnemius were analyzed for slow myosin content and no alteration was observed (Figure 7—figure supplement 1A–B).

Figure 7 with 1 supplement see all
Muscle specific MACF1 knockout affects mitochondrial content and organization.

(A) Quantification of the fatigue index from the Hindlimb muscles in young (4 months) and adult (12 months) Macf1 Cre- and Macf1 Cre+. Line is set at median. *p<0.05 (Student’s t test). (B) Representative images of transversal cross-section of Tibialis Anterior muscle from 12-month-old Macf1 Cre- (left panel) and Macf1 Cre+ (right panel) mice stained for Succinate DeHydrogenase activity. Scale Bar = 150 µm. (C) Quantification of the Succinate DeHydrogenase activity relative to myofibers distribution in conditional Macf1-KO mice compared to control mice. Line is set at median. Ns stands for not significant, **p<0.01 (Student’s t test). (D) Western blot analysis of OXPHOS mitochondrial electron transport chain, TOM20 and actin proteins expression in total extracts from Gastrocnemius muscles of 12-month-old Macf1 Cre- and Macf1 Cre+ mice. (E) QPCR quantification of the ratio between mitochondrial and genomic DNA in total DNA extracts obtained from Gastrocnemius muscles of three individual Macf1 Cre- and Macf1 Cre+ mice at each given age. Line is set at mean (with SEM). (F) QRT-PCR results presenting relative gene expression level for SLN in Macf1 Cre- and Cre+ at each given age. Following the calculation of relative gene expression level with reference to housekeeping genes for each mouse, the mean expression level of SLN was calculated for the WT mice. Next, the expression level of each WT and KO mouse was normalized to the previously calculated mean value. Line is set at mean (with SEM). Ns stands for not significant and **p<0.01 (Mann-Whitney test). (G) Representative confocal images (63×) from isolated myofibers of Tibialis Anterior stained for Cytochrome C in Macf1 Cre- (left panel) and Cre+ (right panel) mice of 12-month-old mice. Scale Bar = 15 µm. (H) Quantification of the percentage of myofibers with irregular (broken/oriented/accumulated) mitochondrial staining in isolated myofibers of Tibialis Anterior muscles from three individual Macf1 Cre- and Cre+ mice at the age of 12 months. Line is set at median. **p<0.01 (Student’s t test). (I) Representative electron microscopy images of myofibrils and mitochondria organization within Tibialis Anterior muscles from 12-month-old Macf1 Cre- (upper panels) and Macf1 Cre+ (lower panels) mice. Scale Bar = 1, 0.5, 0.2 µm. (J) Confocal immunofluorescence images (63×) presenting the organization of Cytochrome C (green) in primary myofibers treated either with scramble shRNA (upper panel) or with a pool of four distinct shRNAs targeting Macf1 (lower panel) after 13 days of differentiation. Myonuclei are presented in red. Scale Bar = 10 µm. (K) Quantification of mitochondrial content per area in primary myofibers treated either with scramble shRNA or with a pool of four distinct shRNAs targeting Macf1 after 13 days of differentiation. Line is set at median. **p<0.01 (Student’s t test).

Figure 7—source data 1

Table showing data from experiments plotted in Figure 7A,C,E–F,H and K.

https://cdn.elifesciences.org/articles/70490/elife-70490-fig7-data1-v2.xlsx
Figure 7—source data 2

Whole immunoblotting membrane for OXPHOS, TOM20, and actin plotted in Figure 7D.

https://cdn.elifesciences.org/articles/70490/elife-70490-fig7-data2-v2.pdf

We next quantified the content of mitochondria and of proteins of the electron transport chain. There was an increase in the total amount of mitochondria (Tom20 relative to actin) in total protein extracts from Gastrocnemius of 12-month-old Macf1 Cre+ mice, as compared to control mice. However, there were no changes in the levels of mitochondrial electron transport chain proteins (CI, II, III, IV, and V, relative to Tom20) (Figure 7D). To confirm the increase of mitochondria pool, we measured the ratio of Mitochondrial-DNA to Genomic-DNA. This ratio did not differ between young (3-month-old) and adult (12-month-old) control mice, nor did it between young Macf1 Cre+ and control mice (Figure 7E). Interestingly, adult Macf1 Cre+ mice showed an increased amount of mitochondrial DNA compared to the other groups (Figure 7E). To understand this phenomenon, we followed the expression level of different genes known to contribute to mitochondria fusion/fission/biogenesis such as DNM1, DNM2, PPARGC1A and SLN. Remarkably, we found that only the expression of Sarcolipin, known to promote mitochondria biogenesis in skeletal muscle (Maurya et al., 2018; Maurya et al., 2015) was increased in Macf1 Cre+ mice compared to control mice (Figure 7F, Figure 7—figure supplement 1C). We next checked the staining of Cytochrome C, indicative of mitochondria content and spatial organization, in myofibers isolated from Tibialis Anterior muscles from 12-month-old mice. Our immunofluorescence approach showed a strong accumulation of mitochondria in different areas at the periphery of myofibers from the conditional-KO mice compared to control mice (Figure 7G, arrow). Additionally, there was an accumulation of mis-oriented longitudinal staining (Figure 7H), reminiscent of what was observed with the T-tubules staining in certain Macf1 Cre+ myofibers (Figure 6C). This suggests an alteration of myofibrils cohesion at the periphery of the myofibers. In this view, since mitochondria are linked to both the microtubule network and to Desmin intermediate filaments (Reipert et al., 1999), we questioned the integrity of the Desmin network and found a similar disruption as observed for mitochondria staining (Figure 7—figure supplement 1D-E). Electron microscopy was next used to visualize the ultrastructure of mitochondria in Tibialis Anterior muscle of Macf1 Cre+ mice. This approach confirmed the increase in mitochondria content in Macf1 Cre+ myofibers, associated with the presence of spherical mitochondria in-between myofibrils (Figure 7I). We next questioned if the mitochondrial network distribution was altered in vitro, in primary myofibers (Figure 7J). In myofibers treated with scrambled siRNA/shRNA, mitochondria lined up in the bulk of myofibers, in-between myofibrils, where they followed the longitudinal axis, just like the microtubule network. However, in Macf1 siRNA/shRNA-treated myofibers, we observed a 30% increase of mitochondria content (Figure 7K). These results confirmed a role of MACF1 in muscles specifically related to mitochondria biogenesis. Consequently, MACF1 is involved in the regulation of mitochondria biogenesis as loss of MACF1 is associated with an increase in Sarcolipin level and redistribution of mitochondrial content.

Discussion

Different mechanisms involving actin and microtubule network control myonuclei positioning during muscle fiber development and differentiation (Azevedo and Baylies, 2020). However, the long-term mechanisms allowing myonuclei patterning maintenance in mature muscle fibers are still pending. The present study describes a MACF1-dependent pathway that is critical for proper myonuclei distribution at the periphery of the myofibers, through the ability of MACF1 to control microtubule network dynamics. MACF1 is a giant member of the spectraplakin family, able to simultaneously bind to different cytoskeleton members. Spectraplakins are involved in intracellular trafficking, cellular polarization migration and shaping, cell-cell adhesion and mechanical strength (Suozzi et al., 2012). In mononuclear cells, MACF1 acts as a hub between the actin and microtubule networks to promote their alignment, allowing cells structure maintenance (Preciado López et al., 2014). In skeletal muscle, MACF1 has been implicated in the integrity of the NMJ through its association with rapsyn and actin (Antolik et al., 2007; Oury et al., 2019). Shot, the Drosophila orthologue participates in the formation and maintenance of a perinuclear shield in muscle (Wang et al., 2015). Still, MACF1 function in muscle remained puzzling as drosophila Shot exhibits a myonuclei-related localization while previous studies in murine models identified MACF1 specifically accumulated at the NMJ.

Our in vitro results show that MACF1 is progressively expressed during muscle fiber maturation and differentiation and accumulates at the periphery of the myofibers where it colocalizes with cortical microtubules (Figure 1, Figure 1—figure supplement 1). In vivo, muscle MACF1 also accumulates strongly in the vicinity of extra-synaptic myonuclei and colocalizes mainly with the longitudinal microtubule network (Figure 3), in accordance with observations from Drosophila myofibers (Figure 5—figure supplement 1; Wang et al., 2015). Interestingly, the MACF1 accumulation pattern along the extrasynaptic myofibers differs from that at the NMJ where there isn’t a particular MACF1 meshwork around synaptic myonuclei, nor a colocalization of MACF1 with AChRs (Figure 5, Figure 5—figure supplement 1). Accordingly, extra-synaptic myonuclei positioning is altered in developing myofibers of MACF1-depleted muscles (Figures 1 and 4), whereas synaptic myonuclei positioning is not affected (Figure 5). Our in vitro results suggest that the progressive alteration of myonuclei positioning is mainly due to the capacity of MACF1 to freeze myonuclei displacement events (Figure 2). Thus, in the MACF1-depleted condition, myonuclei motion is increased and contributes to the alteration of myonuclei distribution along myofibers that translates into a reduction in the distance between adjacent myonuclei (Figures 1 and 4). Interestingly, the in vivo long-term depletion of muscle MACF1 leads to a dramatic change in the location of myonuclei in 12 month-old mice. In these mice, myonuclei are internalized, with no associated signs of regeneration (Figure 4, Figure 4—figure supplement 1). Myonuclei internalizations is concomitant with the appearance of T-tubules enlargement and with continuity breaks of membranes and Desmin structures in the myofibers (Figures 6 and 7). In mature myofibers, myonuclei have been found to reach the periphery of myofibers by a process dependent on an interplay between myonuclei rigidity, actin and Desmin network (Roman et al., 2017). Depletion of MACF1 in vitro or in vivo does not impact the actin network integrity, as reflected by unmodified sarcomere’s structure (Figures 1 and 3, Figure 3—figure supplement 1). In contrast, the myonuclei morphology is modified (Figures 1 and 4). We believe that in MACF1 depleted myofibers, the loosened anchorage of peripheral myonuclei is the initial cause of changes in their morphology. Over time, MACF1 depletion affects the Desmin network, which is a myofibril linker known to play a hub role between the sarcolemmal cytoskeleton and nuclei (Hnia et al., 2015). In this perspective, myonuclei internalization in MACF1-depleted myofibers from old mice is likely the consequence of loosening of the MACF1-dependent meshwork in the vicinity of the myonuclei. This contributes to the long-term enhancement of myonuclei motion, associated with myonuclei shape alteration. Altogether, this internalization requires loss of cohesion within myofibrils, achieved through reorganization of the Desmin network.

Our study shows that MACF1 controls myonuclei displacement through the regulation of microtubules dynamics during myofibers maturation (Figures 2 and 3). Early steps of myonuclei positioning in immature myofibers (myotubes) depend on an interplay between microtubules, microtubule-associated-proteins and motors proteins such as MAP4, MAP7, Dynein, and Kif5b (Cadot et al., 2012; Gache et al., 2017; Metzger et al., 2012; Mogessie et al., 2015). Interestingly, we found that MACF1 is not involved in the early steps of myonuclei spreading in myotubes (Figure 1—figure supplement 1). Using EB3 comets tracking, we show that microtubule dynamic progressively decreases within myofibers during maturation, leading to more stabilized microtubules structures (Figure 2). Interestingly, the absence of MACF1 impairs this stabilization and leads to microtubule with a higher polymerization rate (Figure 2). We propose that this enhanced dynamic is correlated with the increased myonuclei movement along myofibers, especially because endogenous MACF1 is in vitro and in vivo clearly located around myonuclei and is co-localized with the longitudinal microtubule network (Figures 1 and 3). Progressive microtubule network stabilization during myofibers maturation is associated with de-tyrosinated tubulin accumulation. Interestingly, our microscopy images show that a de-tyrosinated pool of microtubules is present in the vicinity of myonuclei in control mice (Figure 3; Gadadhar et al., 2017). In accordance with the elevated microtubule dynamics, de-tyrosinated tubulin staining around myonuclei is lost in Macf1 KO muscles (Figure 3), supporting a link between microtubule dynamics and myonuclei motion. No direct interplay between MACF1 and tubulin post translational modification (PTMs) has been so far documented, but one can hypothesize that regarding already described MACF1 localization, at the Minus-End of microtubules throught CAMSAP/patronin or at the Plus-End of microtubules throught EB1, MACF1 can influence localization of enzymes controlling tubulin PTMs such as TTL or SVBP (Aillaud et al., 2017; Noordstra et al., 2016; Peris et al., 2006; Su et al., 2020). Thus, it is tempting to postulate that in MACF1-depleted myofibers from old mice, this elevated microtubule dynamic is constantly challenging the cohesion between myofibrils through Desmin reorganization, hence contributing to the myonuclei internalization process (Heffler et al., 2020). Interestingly, in the MACF1-depleted myofibers, the tyrosinated/de-tyrosinated ratio of microtubules is not changed at the NMJ supporting alternative tubulin PTMs in the maintenance of the microtubule network cohesion at that location (Osseni et al., 2020). Nonetheless, we show that MACF1 is important for the control of AChR clustering in mature myofibers (Figure 5). Failure of this mechanism in the MACF1-depleted myofibers is the most likely reason for the observed decrease in muscle excitability since it will affect neuromuscular transmission (Figure 6). This interpretation is strengthened by the fact that myofibril genesis is not impacted neither in vitro nor in vivo upon MACF1-depletion and by the fact that there is also no alteration in SR-Ca2+ release even though the overall structure of T-tubule network was found affected in some of the myofibers (Figure 6).

Our study has also revealed an unexpected role for muscle MACF1 related to mitochondria biogenesis. We observed an increase in the number of oxidative fibers in MACF1-depleted muscles from old mice, with no associated change in the myosins expression levels (Figure 7, Figure 7—figure supplement 1). This alteration is correlated with an increase of mitochondrial DNA and with the increased fatigue resistance of the MACF1 KO mice (Figure 7). In addition, our electron and fluorescence microscopy images revealed an alteration of mitochondria shape and patterning as they appear rounder and accumulated in-between myofibrils (Figure 7). Molecular motors such as Kif5b and Dynein control mitochondrial motion in myoblasts (iqbal and Iqbal and Hood, 2014). Microtubule network disorganization and loss of myofibrils cohesion may explain mitochondria mislocalization along myofibers. Accordingly, MACF1 has been previously implicated in mitochondria localization and nuclear positioning in oocytes (Escobar-Aguirre et al., 2017). In addition, an increase in microtubules instability directly impacts the local concentration of free tubulin (Gache et al., 2005) and free tubulin-βII level can affect mitochondrial metabolism and organization (Guerrero et al., 2010; Guzun et al., 2011; Kumazawa et al., 2014). Finally, our investigations revealed that the mRNA levels of proteins related to mitochondrial fusion/fission such as DNM1 and DNM2 were unchanged in MACF1 depleted myofibers but the transcripts of Sarcolipin, a protein related to mitochondrial biogenesis, were dramatically increased in conditional old mutant mice compared to controls. One possibility is that this alteration is due to the aberrant myonuclei size/shape of MACF1 KO myofibers since it has been reported that nuclear alterations can impact gene expression through changes in mechanotransduction processes (Robson et al., 2016; Wang et al., 2018). In any case, our results indicate that the increase in mitochondria number is already present in young mice (Figure 7) and is the most likely explanation for the resistance of both young and old KO mice to fatigue. We thus provide evidence that microtubule organization and dynamics in muscle cells are imporant not only for mitochondria motion and positioning, but also to maintain mitochondria biogenesis (Mado et al., 2019).

The present results have physiopathological relevance as there are several disease conditions associated with peripheral myonuclei mis-localization in muscle fibers. This is the case for a heterogeneous group of inherited muscle diseases, called CentroNuclear Myopathies (CNMs), which are defined pathologically by an abnormal localization of myonuclei in the center of the myofibers (Jungbluth and Gautel, 2014). Genes implicated in the various forms of CNMs encode proteins that participate in different aspects of membrane remodeling and trafficking such as MTM1, Amphyphisin-2/BIN1, DNM2, and HACD1 (Bitoun et al., 2005; Laporte et al., 1996; Muhammad et al., 2013; Muller et al., 2003). Another example is skeletal muscle biopsies from patients with desminopathies which also present internalized myonuclei (Clemen et al., 2013). Here, we have identified MACF1, as a critical contributor in the maintenance of extra-synaptic myonuclei positioning, in the maintenance of the NMJ integrity and in mitochondria location and biogenesis. This is of strong relevance to our understanding of muscle diseases associated with centralization of myonuclei and potentially to other pathological muscle defects.

Materials and methods

Cell culture

Request a detailed protocol

Primary myoblasts were collected from wild type C57BL6 mice as described before (Falcone et al., 2014; Pimentel et al., 2017). Briefly, Hindlimb muscles from 6 days pups were extracted and digested with collagenase (Sigma, C9263-1G) and dispase (Roche, 04942078001). After a pre-plating step to discard contaminant cells such as fibroblasts, myoblasts were cultured on 1% matrigel coated-dish (Corning, 356231) in growth media (GM: IMDM (Gibco, 21980–032), 20% fetal bovine serum (Gibco, 10270–106), 1% chicken embryo extract (USBiological, C3999), and 1% penicillin-streptomycin (Gibco, 15140–122)). When reached to 90% of confluence, myocytes were induced to differentiate in myotubes for 2–3 days in differentiation media (DM: IMDM (Gibco, 21980–032), 2% of horse serum (Gibco, 16050–122) and 1% penicillin-streptomycin (Gibco, 15140–122)). Myotubes were then covered by a concentrated layer of matrigel and maintained for up to 10 days in long differentiation culture medium (LDM: IMDM (Gibco, 21980–032), 2% of horse serum (Gibco, 16050–122), 0.1% Agrin + 1% penicillin-streptomycin (Gibco, 15140–122)) until the formation of mature and contracting myofibers. LDM was changed every two days.

Mouse myoblast C2C12 cells (ATCC, CRL-1772, RRID:CVCL_0188), tested negative form mycoplasma, were cultured in growth media (DMEM (Gibco, 41966029), 15% fetal bovine serum (Gibco, 10270–106) and 1% penicillin-streptomycin (Gibco, 15140–122)) and were plated on 1% Matrigel-coated dishes for 1–2 days before differentiation. Differentiation was induced by switching to differentiation media (DMEM (Gibco, 41966029)) with 1% horse serum (Gibco, 16050–122).

Production of wild-type Agrin recombinant proteins

Request a detailed protocol

For the production of recombinant proteins, the stably transfected HEK293-EBNA cells were grown to about 80% confluence and were transferred to expression medium without FBS. Conditioned medium containing secreted proteins was collected every 3 days and replaced with fresh expression media for 12 days. Conditioned medium was centrifuged at 2000xg for 10 min to pellet the cells before storing at −20°C. After thawing, recombinant proteins were purified from conditioned media by HPLC, on a HiTRAP Imac HP column (GE Healthcare, 17-0920-03), eluted with imidazol and desalted on silica column with PBS (GE Healthcare, HiPrep 26 /10Desalting) or on a Vivaspin column (Vivaspin Sartorius). The absolute concentration of soluble Agrins was estimated on a coomassie blue stained gel by comparison with a known amount of a commercial purified Agrin.

Cell transfection

Request a detailed protocol

For C2C12 cells, scramble or Macf1 targeting siRNAs were transfected in cells using Lipofectamine 2000 (ThermoFisher Scientifics, 11668–019) at the final concentration of 10 nM, following manufacturer instructions, just before differentiation. Same transfection methode was used according to the instructions to deliver scramble or Macf1 targeting shRNAs to cells.

For primaries cells, siRNAs were transfected using Lipofectamine 2000 (ThermoFisher Scientifics, 11668–019) at the final concentration of 2 nM. shRNAs (Geneocopia), MACF1-MTBD-GFP (gift from Carsten Janke team, Institut Curie, Paris, France), EB3-GFP (gift from Annie Andrieux team, Grenoble Institute Neurosciences, Grenoble, France) or RFP-Lamin-chromobody (Chromotek) cDNA were transfected to cells using Lipofectamine 3000 (ThermoFisher Scientifics, L3000-008) following manufacturer instructions, just before differentiation.

siRNASense oligonucleotide sequenceAnti-Sense oligonucleotide sequence
MACF1 #952GAGUUUCAAAAGAACCUUAttUAAGGUUCUUUUGAAACUCtt
MACF1 #954CAAUACAGCUGAAAAAGUUttAACUUUUUCAGCUGUAUUGgg
MACF1 #958GGAUGAAAUUAAUACUCGAttUCGAGUAUUAAUUUCAUCCat
shRNAClone NameTarget Sequence
MACF1 #1MSH071923-1-CU6 (OS398499)GCACATCAATGATCTCTATGA
MACF1 #2MSH071923-2-CU6 (OS398500)GCAGGTGAAGCTAGTGAATAT
MACF1 #3MSH071923-3-CU6 (OS398501)GCAGATTGCAAACAAGATACA
MACF1 #4MSH071923-4-CU6 (OS398502)GCTAAAGAATATCCGACTACT

Mouse model

Request a detailed protocol

Mice that carry a loxP-flanked allele of Macf1 (Goryunov et al., 2010) and Hsa-Cre transgenic mice (Miniou, 1999) have been described previously. All of the experiments and procedures were conducted in accordance with the guidelines of the local animal ethics committee of the University Claude Bernard – Lyon one and in accordance with French and European legislation on animal experimentation and approved by the ethics committee CECCAPP and the French ministry of research (CECCAPP_ENS_2018_022).

In vivo force measurements

Request a detailed protocol

Mice were initially anesthetized in an induction chamber using 4% isoflurane. The right Hindlimb was shaved before an electrode cream was applied at the knee and heel regions to optimize electrical stimulation. Each anesthetized mouse was placed supine in a cradle allowing for a strict standardization of the animal positioning. Throughout a typical experiment, anesthesia was maintained by air inhalation through a facemask continuously supplied with 1.5% isoflurane. The cradle also includes an electrical heating blanket in order to maintain the animal at a physiological temperature during anesthesia. Electrical stimuli were delivered through two electrodes located below the knee and the Achille’s tendon. The right foot was positioned and firmly immobilized through a rigid slipper on a pedal of an ergometer (NIMPHEA_Research, AII Biomedical SAS) allowing for the measurement of the force produced by the Hindlimb muscles (i.e. mainly the Gastrocnemius muscle). The right knee was also firmly maintained using a rigid fixation in order to optimize isometric force recordings. Monophasic rectangular pulses of 0.2 ms were delivered using a constant-current stimulator (Digitimer DS7AH, maximal voltage: 400V). The force-frequency curves were determined by stepwise increasing stimulation frequency, with resting periods > 30 s between stimuli in order to avoid effects due to fatigue. For each stimulation train, isometric peak force was calculated. After a 3 min recovery period, force was assessed during a fatigue protocol consisting of 30 Hz stimulation trains of 0.3 s delivered once every second for 180 s. The peak force of each contraction was measured and averaged every five contractions. A fatigue index corresponding to the ratio between the last five and the first five contractions was determined. Force signal was sampled at 1000 Hz using a Powerlab system and Labchart software (ADinstruments).

Sciatic nerve crush

Request a detailed protocol

The mice were made unconscious by isoflurane anesthesia prior to the intraperitoneal injection of ketamine (100 mg/kg) and xylazine (10 mg/kg) in order to obtain a deep state of general anesthesia. To limit the pain on awakening, mice received a subcutaneous injection of buprenorphine at 30 µg/ml (0.1 µg/g of bodyweight). Once deeply anesthetized mice were shaved at the level of the left hip and the skin incised over 3 mm, then the connective tissue (muscle fascia) was incised. In order to reach the sciatic nerve the muscle mass was pushed back with the delicate help of fine forceps. The exposed sciatic nerve was subjected for two minutes to a drop of lurocaïne in order to inhibit any nociceptive impulse. Then the nerve was seized using fine forceps and sectioned by ablation of 2–3 mm to avoid any reconnection by scarring. The wound was then stitched up using suture. 15 days later, after killing the mice according to the ethical rules of the establishment, Tibialis anterior muscles were collected for examination.

Mouse genotyping

Request a detailed protocol

In order to extract the DNA, samples (mice tales) were incubated in extraction solution (25 mM NAOH, 0.2 mM EDTA) for 30 min at 95°C. Following the addition of neutralization solution (40 mM Tris-HCL), samples were centrifuged at 13000 RPM for 2 min at RT and the DNA were collected. DNA concentration was evaluated using Nanodrop (ThermoFisher Scientifics). PCR were carried (Hot Start Taq polymerase (QIAGEN, 1007837), PCR buffer mix (QIAGEN, 1005479) DNTP mix (Biolabs, 447)) using the following primers. The same amount of PCR products was loaded in 2X Agarose-1X TAE gels and were migrated for 2H at 130V. Results were obtained using GelDoc (BioRad).

List of the primers used for PCR:

PrimerSequence
MACF1 FCATCAGAAGAGATCAACCAACC
MACF1 RAAAGGAAGAGAGGTCCAAGGT
Cre FGAGTTGATAGCTGGCTGGTGGCAGATG
Cre RCCTGGAAAATGCTTCTGTCCGTTTGCC
CD8 FGGTGCATTCTCACTCTGAGTTCC
CD8 RGCAGACAGAGCTGATTTCCTATGTG

Protein extraction, western blot, and dot blot analysis

Request a detailed protocol

For primary cultured cells or C2C12 cell lines, cells were harvested, using 1X Trypsin for 5 min at 37°C and centrifuged at 1500 RPM for 5 min at 4°C. Cell pellets were diluted and incubated in the optimal volume of RIPA lysis buffer containing phosphatases inhibitors (Sigma, P5726-5mL) and proteases inhibitors (Sigma, P8340) for 30 min at 4°C. Following a sonication and a centrifugation at 12,000 RPM for 10 min at 4°C, protein samples were collected for further uses. The concentration of proteins was determined using BCA protein assay kit (Thermo Fisher Scientifics, 23225) as described by the manufacturer.

To obtain protein extracts from dissected muscles or other organs, the samples were finely cut onto tubes containing ceramic beads (MP Biomedicals Lysing Matrix D, 6913100) with the optimal volume of RIPA lysis buffer completed with phosphatases inhibitors (Sigma, P5726-5mL) and proteases inhibitors (Sigma, P8340). Tubes were subjected to harsh shaking (6500 rpm, 3 cycles of 15 s with 30 s pause intervals at 4°C) and rested at 4°C for 1H. Following a sonication and a centrifugation at 12000 RPM for 10 min at 4°C, protein samples were collected for further uses. The concentration of proteins was determined using BCA protein assay kit (Thermo Fisher Scientifics, 23225) as described by the manufacturer.

To carry out dot blots, Bio-Dot SF Microfiltration Apparatus plates (BioRad) were used to transfer the protein samples onto the nitrocellulose membranes following protein extraction and dosage.

Western blot or dot blot Membranes were then saturated in 5% milk in TBS for 1H at RT and were incubated in primary antibodies over night at 4°C. Following washes by 0.1% Tween-20-1X TBS, the membranes were incubated in HRP conjugated secondary antibodies in 5% milk in TBST for 1H at RT. Following washes by 0.1% Tween-20 in TBS the detection of the target proteins was carried out using Super Signal West Femto (Thermo Fisher Scientifics, 34095) and ChemiDoc imaging system (BioRad).

List of antibodies used for western blot:

AntibodySpecies and utilityDilution factorManufacturer and reference
Anti-MACF1Rabbit - primary1:1000Novus Biologicals
NBP2-36528 (RRID:AB_2893083)
Anti-GAPDHMouse - primary1/1000Sigma-Aldrich
MAB374 (RRID:AB_2107445)
Anti-TOM20Rabbit - primary1:1000Cell Signaling Technologies
D8T4N (RRID:AB_2687663)
Anti-OXPHOSMouse - primary1:1000Abcam
Ab110413 (RRID:AB_2629281)
Anti-mouse-HRPGoat - secondary1:5000Invitrogen
62–6520 (RRID:AB_2533947)
Anti-rabbit-HRPGoat - secondary1:5000Invitrogen
65–6120 (RRID:AB_2533967)

Primary cells immunofluorescence staining

Request a detailed protocol

Cells were fixed in 4% PFA in PBS for 20 min at 37°C followed by washes with PBS and permeabilization with 0.5% Triton-X100 in PBS for 5 min at RT. Following washes with PBS, cells were saturated with 1% BSA in PBS for 30 min at RT and incubated in primary antibodies over night at 4°C. After several washes with 0.05% Triton-X100-1X PBS, cells were incubated in secondary antibodies or dyes for 2H at RT and washed with 0.05% Triton-X100 in PBS before image acquisition. The list of the antibodies used for each staining can be found in the following section.

Isolation of mono-myofibers and immunofluorescence staining

Request a detailed protocol

Following the dissection of the whole muscle from the mice, muscle blocks were fixed in 4% PFA in PBS for 2H at RT. After several washes, 30– 50 mono-myofibers were isolated per staining from each muscle. Myofibers were then permeabilized using 1% Triton-X100 in PBS for 15 min at 37°C and saturated in 1% BSA in PBS for 30 min at RT. Based on the experiments, myofibers were incubated in desired primary antibodies at 4°C for two nights. Following washes with 0.05% Triton-X100 in PBS, myofibers were incubated in secondary antibodies or dyes for 2H at RT and washed several times with 0.05% Triton-X100 in PBS before mounting on slides. Myofibers were mounted on slides using fluromount Aqueous mounting (Sigma, F4680-25mL) and kept at 4°C utile image acquisition.

List of the antibodies used for immunofluorescent staining:

Antibody or dyeSpecies and utilityDilution factorManufacturer and reference
Anti-Cytochrome CMouse - primary1:300Cell Signaling Technologies
12963S (RRID:AB_2637072)
Anti-MACF1Rabbit - primary1:200Novus Biologicals
NBP2-36528 (RRID:AB_2893083)
Anti-alpha tubulinMouse - primary1:1000Sigma
T6074 (RRID:AB_477582)
Anti-Tyrosinated tubulinRat - primary1:100Andrieux’s Lab gift
Anti-De-tyrosinated tubulinRabbit - primary1:100Andrieux’s Lab gift
MF20Mouse-primary1:10DSHB
MF20 (RRID:AB_2147781)
Anti-alpha actininMouse – primary1:350Sigma
A7811 (RRID:AB_476766)
Anti-DesminRabbit - primary1:500Cell Signaling Technologies
D93F5 (RRID:AB_1903947)
Dapi-brilliant blueDye1:50000Thermo Fisher Scientifics
D1306 (RRID:AB_2629482)
α-Bungarotoxin-Alexa Flour 488Dye1:1000Thermo Fisher Scientifics
B13422
α-Bungarotoxin-Alexa Flour 555Dye1:200Thermo Fisher Scientifics
B35451
Phalloidin-Alexa Flour 647Dye1:100Thermo Fisher Scientifics
A22287
Anti-rat-
Alexa Flour 488
Donkey - secondary1:500Thermo Fisher Scientifics
A-21208 (RRID:AB_2535794)
Anti-rabbit-
Alexa Flour 647
Goat - secondary1:500Thermo Fisher Scientifics
A-21245 (RRID:AB_2535813)
Anti-mouse-
Alexa Flour 647
Goat - secondary1:500Thermo Fisher Scientifics
A-21240 (RRID:AB_2535809)

Histological staining and analysis

Request a detailed protocol

Tibialis anterior, Soleus and Gastrocnimius muscles were collected, embedded in tragacanth gum, and quickly frozen in isopentane cooled in liquid nitrogen. Cross-sections were obtained from the middle portion of frozen muscles and processed for histological, immunohistochemical or enzymohistological analysis according to standard protocols.

The fiber cross-sectional area and the number of centrally nucleated fibers were determined using Laminin (Sigma L9393) and Dapi-stained sections. Slow myosin antibody (MyHC-I BA-D5) was used to classify muscle fibers types.

SDH staining was performed as previously described (Nachlas et al., 1957). Briefly, transverse sections (8 μm) were cut from the mid-belly of the TA muscles on a cryostat at −20°C and stored at −80°C until SDH staining was performed. The sections were dried at room temperature for 30 min before incubation in a solution made up of 0.2M phosphate buffer (pH 7.4), 0.1M MgCl2, 0.2M Succinic Acid (Sigma), and 2.4 mM NitroBlue Tetrazolium (NBT, Sigma) at 37°C in a humidity chamber for 45 min. The sections were then washed in deionized water for 3 min, dehydrated in 50% ethanol for 2 min, and mounted for viewing with DPX mount medium (Electron Microscopy Sciences). Images were acquired as described above.

Fluorescence microscopy and transmission microscopy were performed using Axioimager Z1 microscope with CP Achromat 5x/0.12, 10x/0.3 Ph1, or 20x/0.5 Plan NeoFluar objectives (Zeiss). Images were captured using a charge- coupled device monochrome camera (Coolsnap HQ, Photometrics) or color camera (Coolsnap colour) and MetaMorph software. For all imaging, exposure settings were identical between compared samples. Fiber number and size, central nuclei and peripheral myonuclei were calculated using ImageJ software.

Analysis of T-tubule network and intracellular Ca2+ in voltage-clamped fibers

Request a detailed protocol

FDB muscle fibers were incubated for 30 min in the presence of 10 µm di-8-anepps in Tyrode solution. Estimation of the T-tubule density from the di-8-anepps fluorescence was carried out from a largest possible region of interest excluding the plasma membrane, within each fiber. For each fiber, two images taken at distinct locations were used. Analysis was carried out with the ImageJ software (National Institute of Health). Automatic threshold with the Otsu method was used to create a binary image of the surface area occupied by T-tubules. The ‘skeletonize’ function was then used to delineate the T-tubule network. T-tubule density was expressed as the percent of positive pixels within the region. Sarcomere length was estimated from half the number of fluorescence peaks (T-tubules) along the length of the main axis of a given fiber. To assess variability in T-tubule orientation, objects within two T-tubule binary images of each fiber were outlined and particle analysis was performed to determine the angle of all objects yielding a perimeter larger than an arbitrary value of 10 µm. For each fiber, the standard deviation of angle values was then calculated. This analysis was performed on 10 muscle fibers from 3 Macf1f/f Cre- and from 3 Macf1f/f Cre+ mice, respectively.

Single fibers were isolated from FDB muscles as described previously (Jacquemond, 1997). In brief, muscles were incubated for 60 min at 37°C in the presence of external Tyrode containing 2 mg.mL collagenase (Sigma, type 1). Single fibers were obtained by triturating the collagenase-treated muscles within the experimental chamber.

Isolated muscle fibers were handled with the silicone voltage-clamp technique (Lefebvre et al., 2014). Briefly, fibers were partly insulated with silicone grease so that only a short portion (50–100 µm long) of the fiber extremity remained out of the silicone. Fibers were bathed in a standard voltage-clamp extracellular solution containing (in mM) 140 TEA-methanesulfonate, 2.5 CaCl2, 2 MgCl2, 1 4-aminopyridine, 10 HEPES and 0.002 tetrodotoxin. An RK-400 patch-clamp amplifier (Bio-Logic, Claix) was used in whole-cell conFigureuration in combination with an analog-digital converter (Axon Instruments, Digidata 1440A) controlled by pClamp nine software (Axon Instruments). Voltage-clamp was performed with a micropipette filled with a solution containing (in mM) 120 K-glutamate, 5 Na2-ATP, 5 Na2-phosphocreatine, 5.5 MgCl2, 15 EGTA, 6 CaCl2, 0.1 rhod-2, five glucose, 5 HEPES. The tip of the micropipette was inserted through the silicone within the insulated part of the fiber and was gently crushed against the bottom of the chamber to ease intracellular equilibration and decrease the series resistance. Intracellular equilibration of the solution was allowed for 30 min before initiating measurements. Membrane depolarizing steps of 0.5 s duration were applied from −80 mV. Confocal imaging was conducted with a Zeiss LSM 5 Exciter microscope equipped with a 63x oil immersion objective (numerical aperture 1.4). Rhod-2 fluorescence was detected in line-scan mode (x,t, 1.15 ms per line) above 560 nm, upon excitation from the 543 nm line of a HeNe laser. Rhod-2 fluorescence transients were expressed as F/F0 where F0 is the baseline fluorescence. The Ca2+ release flux (rate of SR Ca2+ release) was estimated from the time derivative of the total myoplasmic Ca2+ ([Catot]) calculated from the occupancy of intracellular calcium binding sites following a previously described procedure (Kutchukian et al., 2017).

q-PCR

RNA extraction and RT-PCR

Request a detailed protocol

After the addition of Trizol (Sigma, T9424-200mL) on each sample, lysing matrix D and fast prep system (MPbio, 6913–100) were used for sample digestion and pre-RNA extraction. In order to extract RNA, samples were incubated in chloroform for 5 min at RT, centrifuged for 15 min at 12,000 rcf at 4°C and incubated in the tubes containing isopropanol (precipitatation of RNA) for 10 min at RT. following a centrifuge of samples for 15 min at 12,000 rcf at 4°C, samples were washed 2 times with 70% ethanol and the final RNA pellets were diluted in ultra-pure RNase free water (Invitrogen, 10977–035). RNA concentration was calculated using Nanodrop (ThermoFisher Scientifics). Goscript Reverse Transcriptase System (Promega, A5001) was used as described by the manufacturer to produce the cDNA.

DNA extraction

Request a detailed protocol

DNA was extracted from frozen whole Gastrocnimius according to the manufacturers' protocol, using a Maxwell 16 Instrument (Promega Corporation, Madison, USA) and a Maxwell 16 Tissue DNA Purification Kit ((Promega Corporation, Madison, USA)). DNA concentration was calculated using Nanodrop (ThermoFisher Scientifics).

q-PCR

Request a detailed protocol

Fast Start Universal SYBR Green Master (Rox)(Roche, 04913914001) and CFX Connect Real-Time PCR Detection System (BioRad) were used to carry out the quantitative PCR using the following primer sets. For analysis of genes expression level, The CT of target genes was normalized on four control genes. To compare the level of mitochondrial DNA, CT of mitochondrial DNA was normalized on genomic DNA.

List of the primares used for q-PCR:

PrimersSequence
MACF1 FATTGATTCACCGATACAGGCCC
MACF1 RATCTTCTGCATCTAGCAGTCGG
MyoD FAGCACTACAGTGGCGACTCA
MyoD RGCTCCACTATGCTGGACAGG
Myogenin FCAATGCACTGGAGTTCGGTC
Myogenin RACAATCTCAGTTGGGCATGG
Sarcolipin FGGTCCTTGGTAGCCTGAGTG
Sarcolipin RCGGTGATGAGGACAACTGTG
DNM1 FATTTCGTGGGCAGGGACTTTC
DNM1 RCAGTGCAGGAACTCGGCATA
DNM2 FGGACCAGGCAGAGAATGAGG
DNM2 RACGTAGGAGTCCACCAGGTT
PPARGC1A FGCAGGTCGAACGAAACTGAC
PPARGC1A RCTTGCTCTTGGTGGAAGCAG
Gusb FGAGGATTGCCAACGAAACCG
Gusb RGTGTCTGGGGACCACCTTTGA
RpL4 FGCCATGAGAGCGAAGTGG
RpL4 RCTCCTGCAGGCGTCGTAG
Myoglobin FCCTGGGTACTATCCTGAAGA
Myoglobin RGAGCATCTGCTCCAAAGTCC
Betatub F (gDNA)GCCAGAGTGGTGCAGGAAA
Betatub R (gDNA)TCACCACGTCCAGGACAG
ND1 F (mDNA)CCCAGCTACTACCATCATTCAAGT
ND1 R (mDNA)GATGGTTTGGGAGATTGGTTGATGT

Drosophila model and sample preparation

Request a detailed protocol

Shot GD9507 UAS-RNAi line from VDRC collection crossed to Mef2-GAL4 driver has been used to attenuate shot gene expression specifically in muscles. Third instar larvae were dissected in physiological salt with 25 mM EDTA. Body wall muscles were fixed with 4% formaldehyde in PBS for 15 min and then rinsed three times for 5 min each in PBS with 0.5% Tween 20 (PBT). Muscles were blocked for 30 min with 20% horse serum in PBT at RT. Staining was performed by using primary antibodies applied overnight at 4°C and after washing three times in PBT secondary antibodies were applied at RT for 1 hr. The following primary antibodies were used: anti-Brp1 (1:100; DSHB, Nc82-s), anti-Shot (1:100; DSHB, mAbRod1).

Electronic-microscopy

Request a detailed protocol

Tissues were cut into small pieces and fixed in 2% glutaraldehyde for 2 hr at 4°C. Samples were washed three times for 1H at 4°C and post-fixed with 2% OsO41 hr at 4°C. Then tissues were dehydrated with an increasing ethanol gradient (5 min in 30%, 50%, 70%, 95%) and tree times for 10 min in absolute ethanol. Impregnation was performed with Epon A (75%) plus Epon B (25%) plus DMP30 (1.7%). Inclusion was obtained by polymerization at 60°C for 72 hr. Ultrathin sections (approximately 70 nm thick) were cut on a UC7 (Leica) ultra-microtome, mounted on 200 mesh copper grids coated with 1:1000 polylysine, and stabilized for 1 day at room temperature and contrasted with uranyl acetate and lead citrate. Sections were acquired with a Jeol 1400JEM (Tokyo, Japan) transmission electron microscope, 80Kv, equipped with a Orius 600 camera and Digital Micrograph.

Video-microscopy

Request a detailed protocol

To analyze the movement of myonuclei, time-lapse 10X images were acquired using Z1-AxioObserver (Zeiss) with intervals of 15 min. Final videos were analyzed using Metamorph (Zeiss) and SkyPad plugin as described before (Cadot et al., 2014).

To analyze the dynamic of EB3, 50 stream acquisitions were obtained at 63X with 500 ms of intervals using Z1-AxioObserver (Zeiss). The movement and speed of each comet was further analyzed as described before (Sbalzarini and Koumoutsakos, 2005).

Quantification methods for myonuclei spreading in myotubes in vitro

Request a detailed protocol

Quantifications in immature myotubes were assessed using an analysis tool developed in our team. An image analysis performed in ImageJ software is combined with a statistical analysis in RStudio software. This provides quantifications of parameters, ranked by myonuclei content per myotubes, regarding phenotype of myotubes (area, length) and their respective myonuclei positioning compare to centroid of myotubes (DMcM).

MSG diagrams were obtained through the normalization of lengths of all analyzed myotubes (independently to their myonuclei content) to 100%. White lines represent myonuclei density curves assessing the statistical frequency for myonuclei positioning along myotubes. Each color group reflects statistical estimation of myonuclei clustering along myotubes.

Quantification methods for fixed myofibers in vitro

Request a detailed protocol

Following fixation and immunofluorescent staining, the following steps were taken to generate data.

The measurement of distance between adjacent myonuclei, myonuclei feret and roundness were done on fibers stained for myonuclei and F-actin.

Microtubules intensity around the myonuclei was assessed on confocal images from total alpha tubulin. An ROI around each myonuclei was selected to measure the mean fluorescent intensity.

The width of each myofiber was measured on F-actin staining in myofibers presenting formed sarcomeres and the sarcomeric length was measured on alpha actinin staining.

Bungarotoxin staining was used to analyze formation of acetylcholine receptors clusters in mature myofibers. Representative images were taken from myofibers of each condition as described. Briefly, a threshold of 8 µm was set as the minimal size for AChRs clusters. Myofibers with at least one cluster of 8 µm or bigger were considered as positive.

Cytochrome C was used to study the mitochondrial content of each myofiber in vitro. On each myofiber, several Regions Of Interest (ROI) were selected randomly. Next, the total number of particles stained for Cytochrome C were quantified per ROI. The particles with circularity equivalent to one were eliminated in order to purify our results from any unwanted background errors. Particles with feret less than 0.75 µm (mean size of mitochondria) were eliminated to purify our results. Finally, the ratio of number of particles per area of ROI was calculated.

All the quantifications/measurements were done using ImageJ software (RRID:SCR_003070).

Quantification methods for fixed myofibers isolated from control or conditional KO mice

Request a detailed protocol

After immunofluorescence staining, the distance between each myonuclei and its closest neighbor, myonuclei feret and myonuclei roundness were quantified on 3 μM peripheral Z stacks of each myofiber.

The microtubules orientation was assessed on mono Z images of tubulin staining using TeTD directionality tool as described before (Liu and Ralston, 2014).

To study the microtubules pool around myonuclei, 3 μM peripheral Z stacks of each myofiber were analyzed for tyrosinated or de-tyrosinated tubulin staining. Myonuclei presenting a complete de-tyrosinated tubulin ring around them were considered as positive for stable microtubule.

Each NMJs was studied on Z stack images of bungarotoxin staining as described previously (Jones et al., 2016). To study different pools of microtubules at the NMJs, Z series images were quantified for total, tyrosinated or de-tyrosinated alpha tubulin specifically at post-synaptic muscular region based on the bungarotoxin staining to select the NMJs ROI.

To analyze the organization of mitochondria and Desmin, 3 μM peripheral Z stacks of each myofiber were studied. Any fiber presenting broken or oriented organization instead of clear transversal/longitudinal organization (that was observed in control myofibers) was considered as a myofiber with irregular staining.

All the quantifications/measurements were done using ImageJ software (RRID:SCR_003070).

Statistical analysis

Request a detailed protocol

GraphPad Prism (RRID:SCR_002798) was used to perform statistical analysis (Student’s t test or the Mann-Whitney test) according to samples amount and distribution.

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for all figures.

References

Decision letter

  1. Mohammed Akaaboune
    Reviewing Editor; University of Michigan, United States
  2. Didier YR Stainier
    Senior Editor; Max Planck Institute for Heart and Lung Research, Germany

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

This paper provides important data on the role of skeletal muscle MACF1 (a protein related to the microtubule network) in the positioning of myonuclei, the structural integrity of the mitochondria, the clustering of AChR, and the stability of the neuromuscular junction. These results are broadly significant for the field of muscle physiology and the biology of the neuromuscular system. The article will be of interest both to muscle physiologists and to neuroscientists studying synapses.

Decision letter after peer review:

[Editors’ note: the authors submitted for reconsideration following the decision after peer review. What follows is the decision letter after the first round of review.]

Thank you for submitting your work entitled "Muscle MACF1 maintains myonuclei and mitochondria localization through microtubules to control muscle functionalities" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, and the evaluation has been overseen by a Reviewing Editor and a Senior Editor. The reviewers have opted to remain anonymous.

Our decision has been reached after consultation between the reviewers. Based on these discussions and the individual reviews below, we regret to inform you that your work will not be considered for publication in eLife in its present form. The maximum time for revision is two months and we feel that you will require more time to answer the questions posed by the reviewers. We therefore encourage you to resubmit the revised manuscript. We think that the suggestion that MACF1 is involved in microtubule dynamics is novel and interesting. This aspect should be developed. In contrast MACF1 implication in myonuclear positioning has already been proposed. Its role in mitochondrial localisation would require consolidating if you want to make this a major point of the paper. We appreciate all the in vitro and in vivo analyses presented in the paper. In this context, is not clear to us why knock-down in vitro produces such a rapid effect whereas in vivo it takes months to see an effect. Is this linked first to NMJ defects due to the role of MACF1 in microtubule dynamics? In addition to addressing this question, you should provide more information on the subcellular localisation of MACF1and its relative association with microtubules, actin fibres and the nuclear membrane. The reports provided by the three reviewers are shown below. In the revised paper you should consider the different points raised and indicate how you have addressed them in an accompanying letter.

Reviewer #1:

In this manuscript, Ghasemizadeh et al. investigated the role of the skeletal muscle MACF1, a protein related to the microtubule network, in the maintenance of myonuclei and mitochondria localization in mature muscle cells. The major findings are: (1) MACF1 regulates the myonuclei positioning during maturation steps of myofibers but not during their early steps of formation, (2) MACF1 controls the localization and structural integrity of muscle mitochondria, (3) the knockdown of MACF1 in myotubes with shRNA reduces , the formation of agrin-induced AChR clusters and increases myonuclei movements, (4) the loss-function of MACF1 specifically in muscles (conditional muscle-KO) induces mis-localization of myonuclei in adult but not in younger mice, alters the structural integrity of NMJs at younger mice, and enhances mitochondrial content in in adult mice, (7) muscles from Macf1 conditional mice display a higher resistance to fatigue compared to muscles of control mice.

Overall, this is an interesting study addressing an important question and provides important mechanistic insight into the role of MACF1 muscle in the positioning of myonuclei and the structural integrity of the mitochondria and the neuromuscular junction.

The presented data appears to be compelling and is well discussed in light of previous literature. However, some issues need to be addressed to enhance the visibility of the manuscript.

1. It would be helpful to know about the subcellular location of MACF1 in muscle cells (if the antibody does work in immunocytochemistry).

2. In Figure1 D and E, MHC-positive cells appear to be at low frequency, indicating that most of cells remain as non-differentiated myoblats or dead cells. This raises the question of whether myoblats or myotubes are the primary source of MACF1 protein expression observed in total protein extracts by Western blot. The authors should resolve this issue.

3. The authors claimed that MACF1 is progressively expressed and accumulates during muscle differentiation and maturation processes. However, there is no provided data to support this claim. On the contrary, MACF1 expression level appears to be less pronounced at 10 days of muscle differentiation (Figure 1 C). It would useful to examine MACF1 expression levels during muscle cell differentiation and maturation processes both in vivo and in vitro.

4. In Figure 2, the authors showed that the number of AChR dots was significantly increased in myotubes treated with MAFC1 shRNA. However, the unusual shape and size of fluorescent BTX raised some concerns about the specificity of the staining. This can be ruled out by saturating all AChRs with unlabeled BTX and then add the fluorescently tagged BTX. In this case, you should expect to see no staining.

5. It was puzzling to see that mislocalization of myonuclei in MACF1 conditional muscle-KO occurs only after a year, while at the NMJ the number of positioned subsynaptic nuclei was altered much earlier (4 months). The authors should explore the idea whether the positioning of non-synaptic and subsynaptic myonuclei is MCF1 activity dependent. One possible experiment is to denervate muscles of mutant and wild type and see the positioning/number of myonuclei.

6. The authors should also look if the synaptic mitochondria are susceptible to alterations in younger MACF1 conditional muscle-KO mice.

Reviewer #2:

In this manuscript Ghasemizadeh et al., analyzed the function of MACF1, a microtubule-actin crosslinker protein in muscles. The authors used shRNA knock down in culture conditions, as well as muscle specific knock out in a mouse model for their analysis. They show that myonuclei positioning in vitro and in vivo is impaired in the conditional knock out mouse muscles, and that mitochondria positioning and morphology was impaired. Both phenotypes might be related to destabilized dynamics of the microtubules in the muscles as observed by the authors. In addition abnormal acetylcholine receptors clustering at the neuromuscular junction was observed.

The results described are interesting, however they might be unrelated to each other, and their novelty is limited. The authors do not provide novel mechanistic insight to any of the processes described, but rather provide a collection of observations and phenotypes observed following knockout of MACF1 in muscles.

1. The authors used MACF1 conditional knockout mice described in Goryunov et al., 2010. In this model the authors deleted exons 6 and 7 encoding the C-terminal half of the MACF1 actin binding domain (ABD). MACF1 is a large protein with distinct domains, including ABD, Plakin, microtubule and EB1 domains. The authors suggest that the major contribution of MACF-1 in the muscles relates to its function as a microtubule binding protein. However, the truncated protein (produced in the KO mice), lacks only part of the ABD domain, and still contains functional plakin and microtubule binding domains. It is possible that the weak phenotype observed is under representative of the major function of MACF1 in muscles. The authors did not address or discuss this possibility.

2. Many of the phenotypes described by the authors have been already illustrated in other model organisms, including myonuclear positioning defects, myonuclear sphericity, and microtubule disorganization (e.g. Wang et al., 2015; Kim et al., 2010, Bottenberg et al., 2009). The phenotype of the mitochondria fragmentation is novel and interesting, however, the authors do not provide mechanistic explanation for this observation, and only speculate that this is due to aberrant microtubule organization.

3. Some of the images are not convincing: Figure 1 – the difference between control and MACF1 siRNA are minimal and might be due to differential length of the myofibers. Figure 2 – actin does not appear normal. The difference in microtubule organization is not clear enough. The EM micrographs are of medium quality, and do not allow the reader to see the details of the mitochondria. Higher magnification images are required.

4. The authors should show where MACF1 is localized in a normal muscle. Does it overlaps with MT? Is it localized at the nuclear membrane`? does it overlaps with tyrosinated or with Non-tyrosinated? Does it overlap with EB1?

Reviewer #3:

With the exception of the clustered myonuclei at the neuromuscular junction (NMJ), multinucleated skeletal muscle cells position most of their nuclei to optimize the distances between them. Moreover, the skeletal muscle cells have developed mechanisms to maintain these positions despite muscle contraction. The manuscript focuses on identifying the role of the microtubule binding protein, MACF1 in mouse muscle cells through a series of in vitro and in vivo experiments. The investigators report that MACF1 is linked to myonuclear positioning at the NMJ and throughout the fiber, mitochondrial positioning/structure, T-tubule organization, and the clustering of Acetylcholine receptors at the NMJ. The authors suggest that the key role of MACF1 is to regulate posttranslational modifications of microtubules and, as a result, microtubule dynamics. They make the argument that alterations in microtubule dynamics found in the loss of MACF1 are linked to deficits in postsynaptic nuclear positioning and function, myonuclear and mitochondrial positioning and ultimately muscle function.

The authors provide a great deal of in vivo and in vitro data to develop their assertion that MACF1 plays a critical role in muscle maturation and function. They find that loss/reduction of MACF1 results in a number of deficits in the mature fiber: these include morphological defects including aberrant myonuclear position, particularly of the postsynaptic nuclei, reduction in ACHR clustering at the synapse, mitochondria mispositioning and morphology, T-tubule abnormalities, etc and muscle functional defects (reduced force but greater endurance). The authors attempt to link myriad defects in the muscle fiber to one underlying structural alteration in the fibers: abnormal microtubule dynamics. Their evidence to support this: changes in the amount of tyrosination/detyrosinated microtubules (which should be quantified but isn't) and alterations in EB1 comet speed (number and trajectory numbers should be included as well). Both these are suggestive of highly dynamic microtubules in the ko/kd myofibers and some role for MACF1 in the control of microtubule dynamicity (either directly or indirectly). Given that the main conclusions rest on the conclusion of MACF1 control microtubule dynamics, some additional support should be provided that connects MACF1 to Microtubules to Microtubule dynamics and subsequently these altered MTs to the other phenotypes described. For example, does overexpression of MACF1 lead to an increase in stable microtubules? How does this affect AChR clustering, myonuclear clustering at the synapse or even T-tubule structures? Does MACF1 recruit enzymes that post translationally modify MTs to the MTs? Where is MACF1 expressed or enriched in the mouse myofiber at the different ages?

Also important: please have a native English speaker edit the manuscript as there are many issues in grammar, word choice, sentence structure. See also some of the comments listed below for each figure.

https://doi.org/10.7554/eLife.70490.sa1

Author response

[Editors’ note: the authors resubmitted a revised version of the paper for consideration. What follows is the authors’ response to the first round of review.]

Reviewer #1:

In this manuscript, Ghasemizadeh et al. investigated the role of the skeletal muscle MACF1, a protein related to the microtubule network, in the maintenance of myonuclei and mitochondria localization in mature muscle cells. The major findings are: (1) MACF1 regulates the myonuclei positioning during maturation steps of myofibers but not during their early steps of formation, (2) MACF1 controls the localization and structural integrity of muscle mitochondria, (3) the knockdown of MACF1 in myotubes with shRNA reduces , the formation of agrin-induced AChR clusters and increases myonuclei movements, (4) the loss-function of MACF1 specifically in muscles (conditional muscle-KO) induces mis-localization of myonuclei in adult but not in younger mice, alters the structural integrity of NMJs at younger mice, and enhances mitochondrial content in in adult mice, (7) muscles from Macf1 conditional mice display a higher resistance to fatigue compared to muscles of control mice.

Overall, this is an interesting study addressing an important question and provides important mechanistic insight into the role of MACF1 muscle in the positioning of myonuclei and the structural integrity of the mitochondria and the neuromuscular junction.

The presented data appears to be compelling and is well discussed in light of previous literature. However, some issues need to be addressed to enhance the visibility of the manuscript.

We thank the reviewer for his positive comments and hope that all his concerns are now addressed.

1. It would be helpful to know about the subcellular location of MACF1 in muscle cells (if the antibody does work in immunocytochemistry).

To define the subcellular localization of MACF1, we performed immunostaining on muscle samples (in vitro and ex vivo myofibers) using the rabbit polyclonal antibody from Novus biologicals.

As presented in Figure 1B, the immunostaining revealed that MACF1 is concentrated at the periphery of in vitro mature primary myofibers. As well, it appears as dots around the myonuclei, following lines that colocalize with the microtubule network (mostly at the cortex of myofibers and also inside myofibers). Interestingly, no colocalization of MACF1 is observed with the actin network. Confirming the specificity of the antibody, MACF1 immunostaining was strongly decreased in Macf1-shRNA treated myofibers (Figure 1G).

In agreement with these data, ex vivo isolated Tibialis Anterior myofibers from wild-type mice showed a clear perinuclear accumulation of MACF1 (Figure 3D, upper panels). In addition, MACF1 colocalizes with both the longitudinal and transversal microtubule network but not with the actin network (Figure 3D, upper panels). As expected, MACF1 labeling was almost entirely lost in the muscle-specific MACF1 conditional KO mouse model (Figure 3D, lower panels).

Thanks to this immunostaining approach, we have now been able to point out the subcellular localization of MACF1, i.e. around myonuclei and in association with microtubules in skeletal muscle fibers.

2. In Figure1 D and E, MHC-positive cells appear to be at low frequency, indicating that most of cells remain as non-differentiated myoblats or dead cells. This raises the question of whether myoblats or myotubes are the primary source of MACF1 protein expression observed in total protein extracts by Western blot. The authors should resolve this issue.

To address the question, we analyzed the presence of MACF1 protein in primary muscle cells as they differentiate into myotubes (Figure 1C). In growing (and undifferentiated) myoblasts (GM), no MACF1 was detected. However, we clearly observed the presence of MACF1 after 3-days and 5-days of differentiation (Figure 1C). Thus, these results show that myotubes are the primary source of MACF1 during the differentiation process. This panel has now been transferred in supplementary Figure 1E.

3. The authors claimed that MACF1 is progressively expressed and accumulates during muscle differentiation and maturation processes. However, there is no provided data to support this claim. On the contrary, MACF1 expression level appears to be less pronounced at 10 days of muscle differentiation (Figure 1 C). It would useful to examine MACF1 expression levels during muscle cell differentiation and maturation processes both in vivo and in vitro.

To examine MACF1 expression levels in vitro, we performed western blotting on both primary muscle cells (Figure 1C and supplementary Figure 1C) and C2C12 myogenic cell line (supplementary Figure 1D). Clearly, we observed a burst in MACF1 expression when comparing proliferative myoblasts and 3-days differentiated myotubes (Figure 1C and supplementary Figure 1C, 1D). However, MACF1 protein levels was decreased in primary cells from 3 to 5 days of differentiation. in vivo, we conducted a qPCR approach on samples from Tibialis Anterior muscles of control (Cre-) and Macf1-cKO (Cre+) mice, confirming that Macf1 mRNA expression is relatively stable in mature muscle (Author response image 1).

Given these observations, the manuscript has been corrected, highlighting the burst in MACF1 expression as muscle cells differentiate (lines 120-123).

Author response image 1
QRT-PCR results presenting relative gene expression level (to housekeeping genes) for MACF1 in Macf1cKO Cre- and Cre+ at each given age.

4. In Figure 2, the authors showed that the number of AChR dots was significantly increased in myotubes treated with MAFC1 shRNA. However, the unusual shape and size of fluorescent BTX raised some concerns about the specificity of the staining. This can be ruled out by saturating all AChRs with unlabeled BTX and then add the fluorescently tagged BTX. In this case, you should expect to see no staining.

Α-Bungarotoxin (aBTX) is a snake venom that targets specifically Acetylcholine Receptor (AchR). When aBTX is applied on ex vivo extracted mature myofibers, it binds and stains specifically the post-synaptic zone of NMJs (Tzartos SJ & Changeux JP, 1983, PMID: 11894953). In Figure 2, aBTX was directly applied on mature myofibers. In this condition, aBTX staining exhibit long (more than 10 µm) or dotty AChR clusters (Vilmont et al., 2016, PMID: 27283349). To further confirm the specificity of our staining, in vitro developed mature myofibers treated with scramble or Macf1 shRNA were first labeled with BTX coupled to Alexa-flour 555 (BTX-AF555, dilution 1/500), washed, and then labeled with BTX coupled to Alexa-flour 647 (BTX-AF647, dilution 1/500).

As presented in Author response image 2, a strong signal was detected for aBTX-AF555, whereas almost no signal was visible with aBTX-AF647. This confirmed the reliability of our aBTX staining.

Author response image 2
aBTX staining in primary myofibers transfected with scramble or MACF1 shRNAs.

Scale Bar 10 µm.

5. It was puzzling to see that mislocalization of myonuclei in MACF1 conditional muscle-KO occurs only after a year, while at the NMJ the number of positioned subsynaptic nuclei was altered much earlier (4 months). The authors should explore the idea whether the positioning of non-synaptic and subsynaptic myonuclei is MCF1 activity dependent. One possible experiment is to denervate muscles of mutant and wild type and see the positioning/number of myonuclei.

We thank the reviewer for this comment that allowed us to better discriminate which myonuclei are under the control of MACF1 in myofibers.

Our previous data showed that myonuclei were internalized in 12-months old mice. To decipher if extra-synaptic myonuclei localization was affected, we first extracted Tibialis Anterior muscle fibers from MACF1 cKO mouse and quantified the distance between myonuclei in 2, 6 and 12months old mice. This approach showed that extra-synaptic myonuclei positioning is affected in MACF1 cKO mouse compared to controls. Indeed, we observed a 20% reduction in the distance between closest myonuclei at 2 months, 40% at 6 months and up to 70% in 12 months of age (Figure 4B). Thus, as suggested by our in vitro results (Figure 1J), alteration of extra-synaptic myonuclei spreading at the periphery of myofiber occurs precociously. In contrast, internalization of myonuclei is a late event, concomitant with microtubule and intermediate filaments disorganization (Figure 3 and 7G).

In a second approach, we quantified the number of synaptic myonuclei (beneath the NMJ) during aging. Interestingly, we found that the number of synaptic myonuclei is increased in control mice, from 7 in young mice to 11 in old mice, while this number is relatively stable (around 7) in MACF1 cKO mice (Figure 5D). As NMJs in MACF1 KO mice are smaller and present fragmented AChRs clusters compared to control (Figure 5B-C), we hypothesized that failure in synaptic myonuclei recruitment observed in MACF1 cKO mouse is preferentially driven by the failure in AChR Clustering (Figure 5B-C). To validate this hypothesis, we performed a muscle denervation experiment. The sciatic nerve crush, as previously published (Milanič et al., 1999, PMID: 10421467 ), decreases both myofiber (Cross Section Area, Figure 5H) and NMJs area (Figure 5I) after 15 days. These effects were similar in wild-type and in MACF1 cKO mouse (Figure 5H-I). We also observed a similar loss of synaptic myonuclei at the NMJ after the denervation experiment (1 synaptic myonuclei), suggesting that MACF1 is not directly involved in synaptic myonuclei positioning at the NMJs.

Therefore, these data show that MACF1 regulates directly the dynamics of extra-synaptic myonuclei at the periphery of muscle fibers rather than controlling the synaptic myonuclei.

6. The authors should also look if the synaptic mitochondria are susceptible to alterations in younger MACF1 conditional muscle-KO mice.

To address this question, we investigated the organization of mitochondria on isolated myofibers extracted from wild-type and MACF1 cKO old mice. As presented in Figure 7 G and H, the overall organization of mitochondria is altered in adult MACF1 cKO mice compared to controls. However, we did not observe changes in the density of mitochondria at the NMJs in mice lacking MACF1 compared to control mice (Author response image 3).

Therefore, these data show that MACF1 alters the organization of non-synaptic mitochondria.

Author response image 3
Representative confocal microscopy images (63X) from mitochondrial density (reflected by Cytochrome-C staining) at NMJs (reflected by BTX staining) of extracted Tibialis anterior of 12-month-old MACF1 Creand Cre+ mice.

In the overlay, mitochondria are presented in green, postsynaptic NMJs in red and synaptic nuclei in blue. Scale Bar 10 µm.

Reviewer #2:

In this manuscript Ghasemizadeh et al., analyzed the function of MACF1, a microtubule-actin crosslinker protein in muscles. The authors used shRNA knock down in culture conditions, as well as muscle specific knock out in a mouse model for their analysis. They show that myonuclei positioning in vitro and in vivo is impaired in the conditional knock out mouse muscles, and that mitochondria positioning and morphology was impaired. Both phenotypes might be related to destabilized dynamics of the microtubules in the muscles as observed by the authors. In addition abnormal acetylcholine receptors clustering at the neuromuscular junction was observed.

The results described are interesting, however they might be unrelated to each other, and their novelty is limited. The authors do not provide novel mechanistic insight to any of the processes described, but rather provide a collection of observations and phenotypes observed following knockout of MACF1 in muscles.

We respectfully disagree with this reviewer as our work presents the hitherto unexplored role of MACF1 to control microtubule dynamics/stability and consequently, extra-synaptic myonuclei positioning, AchRs clustering and mitochondria biogenesis. We have now provided new mechanistic data that further support the essential role of MACF1 for maintaining myonuclei localization and overall skeletal muscle fiber function.

1. The authors used MACF1 conditional knockout mice described in Goryunov et al., 2010. In this model the authors deleted exons 6 and 7 encoding the C-terminal half of the MACF1 actin binding domain (ABD). MACF1 is a large protein with distinct domains, including ABD, Plakin, microtubule and EB1 domains. The authors suggest that the major contribution of MACF-1 in the muscles relates to its function as a microtubule binding protein. However, the truncated protein (produced in the KO mice), lacks only part of the ABD domain, and still contains functional plakin and microtubule binding domains. It is possible that the weak phenotype observed is under representative of the major function of MACF1 in muscles. The authors did not address or discuss this possibility.

Indeed, Goryunov et al. observed that conditional deletion of the exons 6 and 7 of Macf1 does not eliminate the presence of the MACF1c isoform. To our knowledge, this isoform is unique to the nervous system (Cusseddu et al., 2021, PMID: 33816492). Supporting this data, we did not observe the presence of such isoform or truncated protein in our muscle system (Figure 1c and supplementary Figure 1c). Therefore, the MACF1c isoform cannot be responsible of the mild phenotype observed.

In muscle-specific MACF1 conditional KO mouse, qPCR analysis demonstrated that Macf1 mRNA expression was reduced by 50% in 2-month-old mice and 70% in 12-month-old mice (supplementary Figure 3A). The partial reduction in Macf1 expression might be attributable to several parameters. First, qPCR experiments were performed on total muscle extracts, which do not reflect solely Macf1 expression in myofiber. Indeed, skeletal muscle contains multiple cell types in which Macf1 expression is not altered in muscle-specific MACF1 conditional KO mouse. Then, muscle stem cells contribute to uninjured myofiber homeostasis throughout life (Keefe et al., 2015, PMID: 25971691, Pawlikowski et al., 2015, PMID: 26668715), thus providing new myonuclei where MACF1 is not depleted yet. As well, Macf1 mRNA could be brought in the mature myofiber upon muscle stem cell fusion. Together, this could partly dilute the effect of the Cre recombinase and allow maintenance of small amounts of MACF1 protein in myofibers.

2. Many of the phenotypes described by the authors have been already illustrated in other model organisms, including myonuclear positioning defects, myonuclear sphericity, and microtubule disorganization (e.g. Wang et al., 2015; Kim et al., 2010, Bottenberg et al., 2009). The phenotype of the mitochondria fragmentation is novel and interesting, however, the authors do not provide mechanistic explanation for this observation, and only speculate that this is due to aberrant microtubule organization.

As presented in the first version of our manuscript, we observed an increase in the number of mitochondrial particles following MACF1 downregulation. This phenomenon, which was referred as “mitochondrial fragmentation”, led us to hypothesize that loss of MACF1 disrupts the mitochondrial network integrity. By disorganizing the microtubule (MT) network, MACF1 downregulation would affect the expression or activity level of MT-associated proteins such as DNM1 or DNM2, known to participate in mitochondrial fission or fusion.

To investigate this hypothesis, we carried out different experiments as follows. First, the mRNA expression of mitochondrial fission/fusion actors were studied both in vitro and in vivo. No differences were observed in Dnm1 or Dnm2 expression levels when MACF1 is downregulated either in vitro (Author response image 4) or in vivo in the MACF1 cKO mouse (Figure 7F). Therefore, loss of MACF1 does not affect mitochondrial fission/fusion processes.

Author response image 4
QRT-PCR results presenting relative gene expression level of DNM1 (left) and DNM2 (right) to housekeeping genes in short differentiated myotubes or long term differentiated myofibers transfected with scrambled si/shRNA or a pool of si/shRNAs against MACF1.

However, the in vivo histo-enzymological SDH staining (Figure 7B) and q-PCR analysis of mitochondrial DNA amount (Figure 7E) revealed an increase in the number of mitochondria in the adult MACF1 KO mice compared to the control mice. This suggests a potential increase of mitochondrial biogenesis.

Interestingly, different studies have linked the increase of Sarcolipin (a Sarcoplasmic reticulum associated protein in skeletal muscle) to mitochondrial biogenesis (Santosh K. Maurya et al., 2015, PMID: 25713078; Santosh K. Maurya et al., 2018, PMID: 30208317). When we assessed the expression level of Sarcolipin in the MACF1 cKO mouse model, we observed that Sarcolipin mRNA exhibit a 40-fold increase in adult MACF1 KO mice muscle compared to control (Figure 7F).

Altogether, these data show that loss of MACF1 increases mitochondrial biogenesis rather than modifying mitochondrial fusion, fission or fragmentation. We clarified our conclusion and revised the text accordingly. The increase in the number of mitochondrial particles in vitro is now introduced as an increase in mitochondrial particles content.

3. Some of the images are not convincing: Figure 1 – the difference between control and MACF1 siRNA are minimal and might be due to differential length of the myofibers. Figure 2 – actin does not appear normal. The difference in microtubule organization is not clear enough. The EM micrographs are of medium quality, and do not allow the reader to see the details of the mitochondria. Higher magnification images are required.

We agree with the reviewer and have now provided high magnification images that strengthen our conclusions.

For the reduced distance of adjacent myonuclei in MACF1-KD myofibers compared to control myofibers (Figure 1J), there is no apparent difference in myofiber length and/or shape. We added a larger view of the cell culture to better appreciate unchanged culture of myofibers (Figure 1D), To investigate actin organization in skeletal muscle fibers, the sarcomere length was measured on images using F-actin staining in control and MACF1-KD myofibers (Figure 1F). No significant difference was observed, showing that MACF1 is not involved in actin network patterning in myofibers. These results are coherent with our in vivo results presenting equal sarcomere length in wild-type and in MACF1 cKO mice (Figure 3E and supplementary Figure 3F).

To analyze changes in the microtubule network around myonuclei, the intensity of microtubules was measured at the perinuclear region. As presented in Figure 1H, absence of MACF1 reduces microtubule intensity around myonuclei up to 50%. Panels of Figure 1G have been added to visually highlight the difference.

For electronic microscopy, images with higher resolution present the accumulation of round shaped mitochondria between myofibrils in the MACF1 KO mice compared to the control mice (Figure 7J-K).

4. The authors should show where MACF1 is localized in a normal muscle. Does it overlaps with MT? Is it localized at the nuclear membrane`? does it overlaps with tyrosinated or with Non-tyrosinated? Does it overlap with EB1?

Please refer to the comment #1 reviewer #1.

Immunostaining was performed to define MACF1 localization in myofibers in vitro and in vivo. in vitro, MACF1 is concentrated around myonuclei and colocalizes with cortical microtubules in mature primary myofibers in vitro (Figure 1B). In addition, we showed that the Microtubule Binding Domain of MACF1 tagged with GFP colocalizes with tyrosinated tubulin in immature myotubes in an end-binding protein comet-like pattern (Figure 2A).

in vivo, immunostaining revealed a clear accumulation of MACF1 around myonuclei in isolated myofibers of Tibialis Anterior of WT mice (Figure 3D, upper panels). As well, MACF1 colocalizes with both longitudinal and transversal microtubules in addition to perinuclear region. These results point out a specific localization for MACF1 around myonuclei and in association with microtubules in skeletal muscle fibers.

Reviewer #3:

With the exception of the clustered myonuclei at the neuromuscular junction (NMJ), multinucleated skeletal muscle cells position most of their nuclei to optimize the distances between them. Moreover, the skeletal muscle cells have developed mechanisms to maintain these positions despite muscle contraction. The manuscript focuses on identifying the role of the microtubule binding protein, MACF1 in mouse muscle cells through a series of in vitro and in vivo experiments. The investigators report that MACF1 is linked to myonuclear positioning at the NMJ and throughout the fiber, mitochondrial positioning/structure, T-tubule organization, and the clustering of Acetylcholine receptors at the NMJ. The authors suggest that the key role of MACF1 is to regulate posttranslational modifications of microtubules and, as a result, microtubule dynamics. They make the argument that alterations in microtubule dynamics found in the loss of MACF1 are linked to deficits in postsynaptic nuclear positioning and function, myonuclear and mitochondrial positioning and ultimately muscle function.

The authors provide a great deal of in vivo and in vitro data to develop their assertion that MACF1 plays a critical role in muscle maturation and function.

We thank the reviewer for appreciating the amount of our data provided to support our conclusion.

They find that loss/reduction of MACF1 results in a number of deficits in the mature fiber: these include morphological defects including aberrant myonuclear position, particularly of the postsynaptic nuclei, reduction in ACHR clustering at the synapse, mitochondria mispositioning and morphology, T-tubule abnormalities, etc and muscle functional defects (reduced force but greater endurance). The authors attempt to link myriad defects in the muscle fiber to one underlying structural alteration in the fibers: abnormal microtubule dynamics. Their evidence to support this: changes in the amount of tyrosination/detyrosinated microtubules (which should be quantified but isn't) and alterations in EB1 comet speed (number and trajectory numbers should be included as well). Both these are suggestive of highly dynamic microtubules in the ko/kd myofibers and some role for MACF1 in the control of microtubule dynamicity (either directly or indirectly). Given that the main conclusions rest on the conclusion of MACF1 control microtubule dynamics, some additional support should be provided that connects MACF1 to Microtubules to Microtubule dynamics and subsequently these altered MTs to the other phenotypes described. For example, does overexpression of MACF1 lead to an increase in stable microtubules? How does this affect AChR clustering, myonuclear clustering at the synapse or even T-tubule structures? Does MACF1 recruit enzymes that post translationally modify MTs to the MTs? Where is MACF1 expressed or enriched in the mouse myofiber at the different ages?

We have performed a number of additional experiments to strengthen our conclusion that MACF1 controls microtubule dynamics and its loss inevitably leads to functional deficits of the mature myofiber.

For the localization of MACF1 in muscle fibers, similar questions were raised by reviewer #1/question #1 and reviewer #2/question #4. We thank all of our three reviewers to have pointed out the missing of such an important information. Thus, the use of a rabbit polyclonal antibody from Novus biologicals, also validated for its specificity by western blot, allowed us to address MACF1 localization on in vitro and on ex vivo muscle fibers (Figures 1 and 3). Using this immunostaining approach, we validated MACF1 as an exclusive Microtubule-BindingProtein that colocalizes with the microtubule network and accumulates preferentially at the perinuclear area. As MACF1 is a huge protein with the main two isoforms at 830 and 630kD, in vitro over-expression of the full length MACF1 using a plasmid is experimentally impossible. However, we overexpressed the microtubule binding domain (MTBD) of MACF1 in our in vitro system. MACF1-MTBD formed bundles with a preference location around myonuclei (Figure 2B). This indicates that MACF1-MTBD is responsible for the perinuclear positioning of endogenous MACF1.

Furthermore, we analyzed EB3 comets speed along myofibers maturation in control and in MACF1 depleted myofibers (Figure 2C). These data show (1) that during myofibers formation, EB3 comet speed decreases and (2) that MACF1 depletion maintains EB3 comets speed to high level. All together, these data demonstrate that MACF1 control microtubule dynamic rate along myofiber maturation.

Also important: please have a native English speaker edit the manuscript as there are many issues in grammar, word choice, sentence structure. See also some of the comments listed below for each figure.

Our manuscript has now been proofread by all our collaborators.

https://doi.org/10.7554/eLife.70490.sa2

Article and author information

Author details

  1. Alireza Ghasemizadeh

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Conceptualization, Formal analysis, Investigation, Visualization, Methodology, Writing - original draft, Writing - review and editing
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-8202-8546
  2. Emilie Christin

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Formal analysis, Visualization, Methodology
    Competing interests
    No competing interests declared
  3. Alexandre Guiraud

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared
  4. Nathalie Couturier

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Formal analysis, Methodology
    Competing interests
    No competing interests declared
  5. Marie Abitbol

    1. Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    2. Université Marcy l’Etoile, VetAgro Sup, Lyon, France
    Contribution
    Formal analysis, Methodology, Writing - original draft
    Competing interests
    No competing interests declared
  6. Valerie Risson

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Resources
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6812-6297
  7. Emmanuelle Girard

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Resources, Methodology
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6730-9596
  8. Christophe Jagla

    GReD Laboratory, Clermont-Auvergne University, INSERM U1103, CNRS, Clermont-Ferrand, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  9. Cedric Soler

    GReD Laboratory, Clermont-Auvergne University, INSERM U1103, CNRS, Clermont-Ferrand, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2312-5370
  10. Lilia Laddada

    GReD Laboratory, Clermont-Auvergne University, INSERM U1103, CNRS, Clermont-Ferrand, France
    Contribution
    Investigation
    Competing interests
    No competing interests declared
  11. Colline Sanchez

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared
  12. Francisco-Ignacio Jaque-Fernandez

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Formal analysis, Methodology
    Competing interests
    No competing interests declared
  13. Vincent Jacquemond

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared
  14. Jean-Luc Thomas

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Methodology
    Competing interests
    No competing interests declared
  15. Marine Lanfranchi

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Methodology
    Competing interests
    No competing interests declared
  16. Julien Courchet

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Resources, Methodology, Writing - original draft
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1199-9329
  17. Julien Gondin

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Resources, Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared
  18. Laurent Schaeffer

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Resources
    Competing interests
    No competing interests declared
  19. Vincent Gache

    Institut NeuroMyoGène, CNRS UMR5310, INSERM U1217, Faculté de Médecine Rockefeller, Université Claude Bernard Lyon I, Lyon Cedex, France
    Contribution
    Conceptualization, Resources, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing - review and editing
    For correspondence
    vincent.gache@inserm.fr
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2928-791X

Funding

Programme AVENIR 2014 (ATIP-Avenir) (R14074CS)

  • Vincent Gache

AFM-Téléthon (Alliance MyoNeurAlp)

  • Vincent Gache

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

This work was supported by an ATIP-Avenir and MyoNeurAlp Alliance grants. We thank Pr. Ronald Liem and Dr. Alper (Columbia University of New York) for providing cKO Macf1 embryos. We would like to thank Jijumon AS from the team of Dr. Carsten Janke (Institut Curie de Paris) for providing the MACF1-MTBD plasmid. We acknowledge the contributions of the CELPHEDIA Infrastructure (http://www.celphedia.eu/), especially the center AniRA of Lyon in addition to members of CIQLE imaging center (Faculté de Médecine Rockefeller, Lyon-Est). We thank Dr. Yoan Couté for the mass spectrometry analysis performed at EDyP Lab. We are grateful to Caroline Brun, Leonardo Beccari, Hélène Puccio and Bénédicte Chazaud for helping us with proofreading.

Ethics

Animal experimentation: All of the experiments and procedures were conducted in accordance with the guidelines of the local animal ethics committee of the University Claude Bernard - Lyon 1 and in accordance with French and European legislation on animal experimentation and approved by the ethics committee CECCAPP (ref APAFIS#17455-2018091216033835v5) and the French Ministry of Research.

Senior Editor

  1. Didier YR Stainier, Max Planck Institute for Heart and Lung Research, Germany

Reviewing Editor

  1. Mohammed Akaaboune, University of Michigan, United States

Publication history

  1. Preprint posted: May 15, 2019 (view preprint)
  2. Received: May 18, 2021
  3. Accepted: August 10, 2021
  4. Accepted Manuscript published: August 27, 2021 (version 1)
  5. Version of Record published: October 8, 2021 (version 2)

Copyright

© 2021, Ghasemizadeh et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,233
    Page views
  • 238
    Downloads
  • 0
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, PubMed Central, Scopus.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Download citations (links to download the citations from this article in formats compatible with various reference manager tools)

Open citations (links to open the citations from this article in various online reference manager services)

Further reading

    1. Biochemistry and Chemical Biology
    2. Cell Biology
    Lindsay B Case et al.
    Research Article

    Integrin adhesion complexes (IACs) are integrin-based plasma membrane-associated compartments where cells sense environmental cues. The physical mechanisms and molecular interactions that mediate initial IAC formation are unclear. We found that both p130Cas ('Cas') and Focal adhesion kinase ('FAK') undergo liquid-liquid phase separation in vitro under physiologic conditions. Cas- and FAK- driven phase separation is sufficient to reconstitute kindlin-dependent integrin clustering in vitro with recombinant mammalian proteins. In vitro condensates and IACs in mouse embryonic fibroblasts (MEFs) exhibit similar sensitivities to environmental perturbations including changes in temperature and pH. Furthermore, mutations that inhibit or enhance phase separation in vitro reduce or increase the number of IACs in MEFs, respectively. Finally, we find that the Cas and FAK pathways act synergistically to promote phase separation, integrin clustering, IAC formation and partitioning of key components in vitro and in cells. We propose that Cas- and FAK- driven phase separation provides an intracellular trigger for integrin clustering and nascent IAC formation.

    1. Cell Biology
    2. Immunology and Inflammation
    Ecker Ecker et al.
    Research Article

    T cell activation requires engagement of a cognate antigen by the T cell receptor (TCR) and the co-stimulatory signal of CD28. Both TCR and CD28 aggregate into clusters at the plasma membrane of activated T cells. While the role of TCR clustering in T cell activation has been extensively investigated, little is known about how CD28 clustering contributes to CD28 signalling. Here we report that upon CD28 triggering, the BAR-domain protein sorting nexin 9 (SNX9) is recruited to CD28 clusters at the immunological synapse. Using three-dimensional correlative light and electron microscopy, we show that SNX9 generates membrane tubulation out of CD28 clusters. Our data further reveal that CD28 clusters are in fact dynamic structures and that SNX9 regulates their stability as well as CD28 phosphorylation and the resulting production of the cytokine IL-2. In summary, our work suggests a model in which SNX9-mediated tubulation generates a membrane environment that promotes CD28 triggering and downstream signalling events.