Scleraxis-lineage cell depletion improves tendon healing and disrupts adult tendon homeostasis

  1. Katherine T Best
  2. Antonion Korcari
  3. Keshia E Mora
  4. Anne EC Nichols
  5. Samantha N Muscat
  6. Emma Knapp
  7. Mark R Buckley
  8. Alayna E Loiselle  Is a corresponding author
  1. Center for Musculoskeletal Research, University of Rochester Medical Center, United States
  2. Department of Biomedical Engineering, University of Rochester, United States
9 figures, 5 tables and 1 additional file

Figures

Figure 1 with 2 supplements
Efficiency of tendon cell and ScxLin cell depletion.

(A) To deplete ScxLin cells, Scx-Cre mice were crossed to the diphtheria toxin receptor mouse (ScxLinDTR). (B) Mice received five hind paw injections of DT and were harvested 10 days after the final injection. (C) Sections from injected and contralateral (CL) hind paws from WT and ScxLinDTR mice were stained with DAPI, and total DAPI+ cells within the tendon (white outline) were quantified (D). (E) To determine the depletion efficiency specifically of ScxLin cells, Scx-Cre; Rosa-DTRLSL; Rosa-Ai9 and Scx-Cre; Rosa-Ai9 reporter mice were given local, daily DT injections for 5 consecutive days and hind paws were harvested 24 and 38 days after the last injection (F) These are the contralateral control tendons from the mice in Figure 4 that underwent tendon injury and repair. (G) Hind paws from ScxLinAi9 and ScxLinAi9DTR were probed for Red Fluorescent Protein (RFP; Ai9) expression and counterstained with the nuclear dye DAPI. (H) Total tendon cell density (DAPI+), total ScxLinAi9+ cell density and the percentage of ScxLinAi9 cells (ScxLinAi9+ cells/ DAPI+ cells) were quantified in ScxLinAi9 and ScxLinAi9DTR tendons and demonstrate a significant reduction of ScxLinAi9 cells in ScxLinAi9DTR relative to ScxLinAi9 WT controls. N = 3–4 per genotype. Two-way ANOVA with Sidak’s multiple comparisons test used to assess statistical significance of tendon cell ablation between hind paw (injected with DT or contralateral) and genotype (ScxLinAi9 and ScxLinAi9DTR at 24 and 38 days). * indicates p<0.05 for the indicated comparison, ** indicates p<0.01 for indicated comparison, **** indicates p<0.0001 relative to all other groups.

Figure 1—figure supplement 1
Scx+ and S100a4+ tendon cells following ScxLin depletion.

WT and ScxLinDTR hind paws were harvested uninjured 10 days following final DT injection and stained for either Scx (A–C) or S100a4 (D–F). Quantification of Scx+ cells normalized to either total area (B) or both area and total cell number (C). Quantification of S100a4+ cells normalized to either total area (E) or both area and total cell number (F). N = 3 per genotype. Statistical significance between genotypes determined using Student’s t-test when data was normal (B, E, F) or Mann-Whitney test when data not normal (C). * indicative of p<0.05.

Figure 1—figure supplement 2
ScxLinDTR does not cause substantial effects on surrounding tissue.

Assessment of apoptosis (Cleaved Caspase 3, A), proliferation (PCNA, B), and Inflammation (F4/80, macrophages, C) for WT and ScxLinDTR uninjured tendons. Tendon outlined by white dotted line. Nuclei stained with DAPI. Examples of positive stain indicated by yellow arrows. N = 3 per genotype.

ScxLinDTR tendons heal with significantly increased biomechanical properties.

Mice received five hind paw injections of DT on consecutive days, underwent flexor tendon repair surgery 10 days after the final DT injection, and were harvested at 14- and 28 days post-repair (A). Measurement of metatarsophalangeal (MTP) joint flexion angle (B), gliding resistance (C), stiffness (D), and maximum load at failure (E) of WT and ScxLinDTR repaired tendons. N = 9–12 per genotype per timepoint. Students t-test used to assess statistical significance between genotypes at a given timepoint. * indicative of p<0.05, ** indicative of p<0.01.

ScxLin cell depletion does not disrupt formation of a bridging collagen matrix.

Mice received five hindpaw injections of DT on consecutive days, underwent flexor tendon repair surgery 10 days after the final DT injection, and were harvested at 14 and 28 days post-repair (A). Alcian blue/hematoxylin and Orange G stain utilized to assess overall morphology (B). Masson’s trichrome stain used to visualize collagen content and organization (C). Tendon is outlined by white dotted line and scar tissue by yellow dotted line. Black boxes indicate location of higher magnification images. Boundaries of bridging collagen indicated by black arrows. N = 4 genotype per timepoint. Suture indicated by *.

ScxLin cell depletion results in time-dependent changes in ScxLinAi9 cell presence during tendon healing.

(A) Mice received hind paw injections of DT on 5 consecutive days, underwent flexor tendon repair surgery 10 days after the final DT injection, and were harvested at 14 and 28 days post-repair. (B) Immunofluorescence for RFP (Ai9) in WT ScxLinAi9 and ScxLinAi9DTR tendon repairs at 14 and 28 days post-repair to define changes in ScxLinAi9 contribution following ScxLin cell depletion. Quantification of ScxLinAi9+ area in ScxLinAi9 WT repairs and ScxLinAi9DTR repairs at (C) D14 and (D) D28 post-surgery. Nuclei were stained with DAPI. N = 4 per genotype. Student’s t-test used to assess statistical significance between genotypes at a given timepoint. **indicates p<0.01. (E) Proposed model of the time-dependent contributions of ScxLinAi9 cells to the tendon healing process. During adult tendon homeostasis ScxLinAi9 cells are the predominant tenocyte population and ScxLinAi9DTR results in depletion of ~60% of these cells. Red cells indicate ScxLinAi9 cells that were present in the tendon when depletion was initiated. We hypothesize that no differences in the proportion of ScxLinAi9 cells is observed at D14 (concomitant with a lack of functional phenotypic differences) due to the predominance and functions of other cell populations, including those that express Scx in response to injury and are therefore labeled as ScxLin (blue cells). In contrast, we hypothesize that by D28 the contribution of ‘new’ ScxLin cells (blue cells) has waned, and that the ScxLinAi9 cells that were present in the tendon during adult tendon homeostasis (red cells) are now the predominant tenocyte population and exert their functions at this time as suggested by functional differences between WT and ScxLinDTR at this time. This schematic was made using http://www.biorender.com.

Figure 5 with 1 supplement
ScxLinDTR repaired tendons heal with increased presence of αSMA+ myofibroblasts.

Mice received five hindpaw injections of DT on consecutive days, underwent flexor tendon repair surgery 10 days after the final DT injection, and were harvested at 14 and 28 days post-repair (A). Immunofluorescence of WT and ScxLinDTR repair tendons 14 and 28 days post-repair to assess F4/80+ macrophages (B), αSMA+ myofibroblasts (C), and S100a4+ cells (D). Tendon is outlined by white dotted line and scar tissue by yellow dotted line. Green boxes indicate location of higher magnification images. Examples of positive stain indicated by white arrows, while examples of auto-fluorescent blood cells and α-SMA+ blood vessels indicated by green arrows. Quantification of F4/80 (A’ and A’’), αSMA (B’ and B’’), and S100a4 (C’ and C’’) fluorescence. N = 4 per genotype per timepoint. Student’s t-test used to assess statistical significance between genotypes at a given timepoint, except for D28 F4/80 and S100a4 which required a Mann-Whitney test. * indicates p<0.05.

Figure 5—figure supplement 1
Specific localization of αSMA staining at the tendon repair site.

To demonstrate that the myotendinous release, which is incorporated as part of the surgical procedure to decrease the risk of repair rupture, does not lead to tendon degeneration, αSMA staining adjacent to the repair site was examined. An absence of αSMA was observed proximal/ distal to the repair site (yellow bracket). Tendon stubs are outlined in white. N = 4 per genotype per timepoint.

Figure 6 with 1 supplement
Bulk RNA sequencing reveals differences between ScxLinDTR and wild-type healing flexor tendons at 14 and 28 days post-repair.

Representation of differentially expressed genes (DEGs) at 14 (A, B) and 28 (C, D) days post-repair. Volcano plots (A, C) depict significantly upregulated DEGs as red dots and significantly downregulated DEGs as green dots. DEGs are consider significant when the multiple test corrected (adjusted) p-value is < 0.05. The dotted line represents the unadjusted p-value of 0.05. Heat maps (B, D) depict all significant DEGs, with the data representing the regularized log transformation of the normalized count data.

Figure 6—figure supplement 1
Enhanced expression specific matrix components is observed in ScxLinDTR tendon repairs at D28.

Based on the RNAseq data we examined the spatial localization of specific ECM components Decorin, Thbs4 and Mfap5 at D28 post-surgery. Sections were stained with the nuclear dye DAPI. N = 4 per genotype.

Canonical pathways positively and negatively enriched in ScxLinDTR healing tendons at day 28 post-repair.

Ingenuity pathway analysis was utilized to determine positively and negatively significantly enriched pathways in ScxLinDTR healing tendons at day 28 post-repair. Canonical pathways were considered significant if p<0.05 and ABS(Z-score)>2. The orange color indicates pathways that are significantly, positively enriched (‘activated’), while the blue color indicates significantly, negatively enriched (‘inhibited’) pathways. The orange dotted line represents -log (1.3)=0.05, indicating the p-value cut-off.

Tendon cell ablation does not negatively affect post-natal tendon growth 3 months post-ablation.

Pre-pubescent mice (3–4 weeks old) received five hindpaw injections of DT and were harvested 10 days after the final injection to assess tendon cell depletion (ScxLinDTR) (A). Hindpaw sections from both WT and ScxLinDTR hindpaws (B). Quantification of WT and ScxLinDTR,3weeks tendon cell number in pre-pubescent mice (C). To assess effects of tendon cell depletion on post-natal tendon growth, mice received five hindpaw injections of DT on consecutive days at 3–4 weeks of age and were harvested uninjured 3 months later for biomechanical, gliding, and histological evaluation (ScxLinDTR,3weeks) (D). Co-immunofluorescence of F4/80 (macrophages) and αSMA (myofibroblasts) in uninjured WT and ScxLinDTR,3weeks tendons (E). Quantification of WT and ScxLinDTR,3weeks tendon cell number (F). Measurement of metatarsophalangeal (MTP) joint flexion angle (G), gliding resistance (H), stiffness (I), and maximum load at failure (J) of WT and ScxLinDTR,3weeks uninjured tendons. N = 7–10 per genotype. Second harmonic generation (K) and quantification (L) of collagen fibril dispersion of WT and ScxLinDTR,3weeks. N = 3 per genotype. Nuclei stained with DAPI. Tendon is outlined by white dotted lines. Student’s t-test used to assess statistical significance between genotypes. * indicates p<0.05, *** indicates p<0.001.

Figure 9 with 2 supplements
Tendon cell ablation negatively affected tendon homeostasis 3 months post-ablation.

Mice received five hindpaw injections of DT on consecutive days at 10–12 weeks of age and were harvested uninjured 3 months later for biomechanical, gliding, and histological evaluation (ScxLinDTR,10weeks) (A). Cellularity was assessed using DAPI (B) and quantified (C) 3 months after ScxLin cell depletion. H and E staining was used to better define the hypercellular regions near the tendon epitenon. Cell density was quantified at the top and bottom boundaries of the tendon (D). N = 7 per genotype. Co-immunofluorescence of F4/80 (macrophages) and αSMA (myofibroblasts) in uninjured WT and ScxLinDTR tendons (E). N = 3 per genotype. Measurement of metatarsophalangeal (MTP) joint flexion angle (F), gliding resistance (G), stiffness (H), and maximum load at failure (I) of WT and ScxLinDTR,10weeks uninjured tendons. N = 9–12 per genotype. Second harmonic generation (SHG) (J) and quantification (K) of collagen fibril dispersion of WT and ScxLinDTR,10weeks. N = 7–8 per genotype. Nuclei stained with DAPI. Tendon is outlined by white dotted lines. Student’s t-test used to assess statistical significance between genotypes. * indicates p<0.05.

Figure 9—figure supplement 1
Collagen fibrils in the top third FT region have an altered organization at 3 months post-depletion.

Representative SHG images of collagen fibrils (A, B) and cell nuclei (C, D). Quantification of spatial collagen fibril dispersion on the top, middle, and bottom regions of WT and ScxLinDTR FTs at 3 months post-depletion (E). N = 6 per genotype. Two-way ANOVA used to assess statistical significance between genotypes and tendon regions. *indicates p<0.05.

Figure 9—figure supplement 2
Collagen fibrils exhibit an altered diameter and density at 3 months post-depletion.

Representative TEM images of the WT and ScxLinDTR FTs at 3 months post-depletion (A, B). Collagen fibril diameter histogram demonstrates an increase in the median fibril diameter in DTR D90 FTs compared to WT (C). Collagen fibril diameter of the WT and DTR D90 FTs with boxplot whiskers spanning data between the 5th and 95th percentiles; data outside this range are plotted as individual points (D). Collagen fibril density of the WT and DTR D90 FTs (E). Collagen fibril irregularity of the WT and DTR D90 FTs (F). N = 4 for WT and N = 3 for DTR D90. Student’s t-test used to assess statistical significance between genotypes. ****indicates p<0.0001.

Tables

Table 1
Ingenuity pathway analysis downstream effects - Disease and Functions.

Table of all disease and function annotations marked as significant (p<0.05 and ABS(Z-score)>2) using IPA core analysis for ScxLinDTR vs WT at day 28 post-repair.

Disease or function annotationp-valueActivation stateZ-Score
Down-RegulatedContractility of skeletal muscle4.96E-16Decreased−3.595
Abnormal bone density0.000000572Decreased−3.299
Contractility of muscle8.91E-16Decreased−2.636
Intestinal cancer6.76E-46Decreased−2.561
Bleeding0.00000075Decreased−2.424
Malignant neoplasm of large intestine8.42E-46Decreased−2.343
Colorectal cancer6.67E-23Decreased−2.343
Large intestine neoplasm2.97E-46Decreased−2.256
Colorectal tumor1.28E-23Decreased−2.256
Function of muscle6.93E-14Decreased−2.245
Consumption of oxygen0.000000942Decreased−2.237
Function of skeletal muscle1.59E-08Decreased−2.186
Intestinal tumor9.72E-47Decreased−2.144
Development of lung carcinoma0.000000663Decreased−2.012
Up-regulatedCell movement4.98E-22Increased4.735
Migration of cells6.44E-17Increased4.733
Cell movement of tumor cell lines8.66E-10Increased4.343
Reorganization of cytoskeleton0.000000218Increased4.296
Migration of tumor cell lines0.00000032Increased4.162
Engulfment of cells1.05E-09Increased4.057
Endocytosis1.2E-11Increased3.821
Leukocyte migration4.37E-09Increased3.821
Cell movement of blood cells4.04E-09Increased3.818
Homing of cells0.00000055Increased3.792
Formation of cellular protrusions1.53E-14Increased3.669
Glucose metabolism disorder5.46E-10Increased3.516
Invasion of cells9.21E-08Increased3.396
Organization of cytoplasm3.25E-26Increased3.384
Organization of cytoskeleton2.94E-20Increased3.384
Cell movement of leukocytes7.74E-08Increased3.38
Endocytosis by eukaryotic cells1.16E-08Increased3.371
Engulfment of tumor cell lines0.00000031Increased3.348
Proliferation of neuronal cells3.67E-09Increased3.313
Metabolism of carbohydrate1.94E-13Increased3.285
Formation of lamellipodia0.000000932Increased3.121
Cell movement of breast cancer cell lines0.000000603Increased3.103
Cell movement of fibroblast cell lines3.42E-08Increased3.083
Growth of neurites6.25E-09Increased2.981
Microtubule dynamics5.21E-18Increased2.974
Cell spreading3.31E-11Increased2.875
Formation of filopodia0.000000177Increased2.873
Cell movement of connective tissue cells0.000000415Increased2.792
Concentration of lipid3.14E-08Increased2.779
Progressive neurological disorder6.74E-10Increased2.671
Outgrowth of neurites7.31E-08Increased2.662
Production of reactive oxygen species6.22E-12Increased2.625
Quantity of macropinosomes0.000000865Increased2.621
Neuromuscular disease1.47E-15Increased2.619
Progressive myopathy1.28E-11Increased2.611
Synthesis of carbohydrate0.000000499Increased2.553
Outgrowth of cells0.000000025Increased2.52
Advanced malignant tumor0.000000208Increased2.517
Differentiation of connective tissue cells1.48E-09Increased2.512
Secondary tumor0.000000643Increased2.461
Arrhythmia2.14E-08Increased2.4
Fibrosis0.000000337Increased2.397
Extension of cellular protrusions0.00000098Increased2.371
Invasive tumor2.47E-08Increased2.345
Synthesis of reactive oxygen species3.6E-14Increased2.312
Organization of actin cytoskeleton4.37E-08Increased2.298
Disassembly of filaments0.000000544Increased2.27
Metabolism of reactive oxygen species2.61E-15Increased2.269
Cancer of cells9.31E-14Increased2.254
Response of tumor cell lines2.31E-08Increased2.231
Morphogenesis of neurons1.44E-12Increased2.224
Neuritogenesis1.86E-12Increased2.224
Neoplasia of cells1.76E-16Increased2.221
Quantity of metal0.0000002Increased2.198
Ruffling0.000000297Increased2.157
Tubulation of cells0.00000126Increased2.132
Angiogenesis4.02E-15Increased2.109
Hereditary myopathy1.58E-23Increased2.104
Dystrophy of muscle1.85E-11Increased2.104
Development of vasculature2.67E-16Increased2.06
Growth of axons0.000000724Increased2.017
Migration of fibroblast cell lines0.000000461Increased2.002
Table 2
Regulation of matrix components in ScxLinDTR healing tendons at day 28.

Expression level, fold change, and adjusted p-value of key matrix-related genes in ScxLinDTR tendons vs WT at day 28 post-repair generated from bulk RNA-seq. Orange color indicative of increased expression and blue color indicative of decreased expression.

GeneBaseMeanFold change (Log2)p-adj
Collagens
Col1a1742982.8830.2750.117206
Col1a2720257.2330.3590.033355
Col2a1461.9650.1760.700754
Col3a1748380.280.6450.005567
Col4a135181.7730.170.559295
Col4a231627.0650.2650.206116
Col4a349.144−0.0090.988635
Col4a4143.520.2320.589161
Col4a5284.0590.3720.440755
Col4a652.693−0.0930.904823
Col5a1118821.8570.4950.031814
Col5a2105087.0420.460.092164
Col5a335303.6660.4180.06355
Col6a1122410.4230.4060.00366
Col6a2122396.3220.4550.003183
Col6a355660.6290.5450.021485
Col6a433.599−0.8790.0385
Col6a572.0460.5990.286724
Col6a651.234−0.070.901424
Col7a12215.503−0.5320.06829
Col8a16553.5620.9830.025451
Col8a24787.689−0.1280.727708
Col9a1390.971−1.3280.000857
Col9a250.18−0.0710.911757
Col9a352.9110.1770.713852
Col10a14.5850.254N/A*
Col11a113080.117−0.2390.496276
Col11a21974.589−0.6710.028981
Col12a134791.768−0.2040.545342
Col13a1308.833−0.0850.853468
Col14a17279.6530.6930.00124
Col15a18889.5170.3850.296359
Col16a124279.3470.2370.252556
Col17a1269.420.002N/A*
Col18a114754.8860.3910.169961
Col19a14.7380.133N/A*
Col20a1438.526−0.70.060808
Col22a12064−0.7970.022217
Col23a14457.185−0.6360.025351
Col24a1966.961−0.350.047102
Col25a1118.0330.0220.975523
Col26a178.90.3710.475453
Col27a14062.7840.4060.253217
Col28a1579.4410.2910.653743
ECM proteoglycans
Hspg247213.8670.2480.108795
Aspn19143.1910.8390.007556
Bgn151131.1530.2510.256881
Dcn95817.7180.6541.26E-05
Fmod132295.7480.1720.683103
Kera5207.2310.5220.154489
Lum43114.0990.3530.130133
Omd65.3240.560.151367
Prelp18853.1240.3810.057946
Epyc133.9351.1870.003793
Ogn5228.6560.6360.004079
Optc30.1930.0420.957221
Chad2558.426−0.1330.813626
Chadl146.3810.3770.295306
Nyx21.0480.4430.360179
Podn1763.3690.4320.131578
Podnl1216.612−0.0870.872241
Acan8738.435−0.4070.194754
Bcan125.867−0.7640.014902
Ncan1.472−0.047N/A*
Vcan5214.4630.4310.165678
Hapln1109.2010.0360.955062
Hapln28.84−0.024N/A*
Hapln331.920.0390.949531
Hapln4128.6990.0530.926101
Prg22.717−0.083N/A*
Spock112.3870.674N/A*
Spock2621.4890.0270.956371
Spock334.16−0.0340.963822
Prg426463.024−0.1910.759532
Srgn1500.611−0.080.843956
Impg249.211−0.1960.676547
Esm1120.466−0.020.971642
Basement membrane components
Lama13.29−0.445N/A*
Lama23430.8870.3610.201711
Lama3104.957−0.3030.484039
Lama47706.8190.340.081572
Lama53390.382−0.2370.430648
Lamb111272.5070.2360.389409
Lamb213730.50.3430.092701
Lamb377.394−0.060.924993
Lamc115292.130.3130.119095
Lamc2424.2660.3930.064032
Lamc321.5970.0930.886633
Nid112717.3060.5390.02301
Nid22799.8170.1790.586124
Colq358.747−0.3790.341156
Major ECM glycoproteins
Eln17607.4640.5180.270402
Emilin16960.5390.1240.684821
Emilin24405.4630.5120.061758
Emilin3595.3560.8570.005562
Emid1550.6850.2520.631487
Fbln12214.0230.230.320082
Fbln248333.4860.1270.615495
Fbln52725.6750.3260.023116
Fbln74562.4090.7840.00233
Efemp11308.9390.5430.077648
Efemp24858.9910.2220.11327
Fbn136959.1960.6680.005087
Fbn22856.248−0.0080.983466
Fn1510510.0530.3070.223595
Fras1430.729−0.8370.013797
Gldn464.820.4240.390168
Hmcn11034.8060.5890.036404
Hmcn26034.9220.2520.456036
Ibsp2.365−0.125N/A*
Matn10.6710.074N/A*
Matn26213.3810.5030.015668
Matn3201.369−0.5810.155595
Matn42796.498−0.2450.6134
Mfap1a536.8870.1010.639732
Mfap1b398.9580.030.902813
Mfap23608.7270.4650.013072
Mfap31213.9240.1190.519005
Mfap44217.930.40.210242
Mfap514548.0080.7535.34E-05
Mmrn1439.1830.4920.262418
Mmrn21557.776−0.2010.519886
Npnt1084.388−0.4530.209896
Papln16.561−0.1220.859483
Postn102294.8710.5910.048873
Sparc331616.1770.4790.000296
Sparcl112872.967−0.0270.959288
Spp129368.7240.2340.637831
Srpx25778.7940.3620.077229
Tnc28609.2970.3780.326135
Tnn5098.501−0.6230.126873
Tnr19.2710.4820.385953
Tnxa6.3230.944N/A*
Tnxb18888.4250.7810.015263
Thbs114477.7980.490.099587
Thbs236613.7870.390.149809
Thbs317595.8550.2670.193149
Thbs4203095.5420.8415.69E-05
Comp35501.7590.2930.10314
Table 3
Ingenuity pathway analysis canonical pathways.

All enriched pathways marked as significant (-log(p-value)>1.3 and ABS(Z-score)>2) using IPA core analysis for ScxLinDTR vs WT at day 28 post-repair.

Canonical pathway-log(p)Z-Score
Negatively enrichedOxidative phosphorylation7.6−5.303
TCA Cycle II (Eukaryotic)5.96−3.464
White Adipose Tissue Browning Pathway3.23−2.353
Calcium Signaling5.72−2.335
Glycolysis I4.63−2.111
Gluconeogenesis I4.63−2.111
Positively enrichedEphrin Receptor Signaling6.133.888
Rac Signaling3.853.674
Actin Nucleation by ARP-WASP Complex5.163.441
Fcγ Receptor-mediated Phagocytosis in Macrophages and Monocytes3.773.411
Remodeling of Epithelial Adherens Junctions6.233.162
Regulation of Actin-based Motility by Rho5.753.128
Sphingosine-1-phosphate Signaling3.942.711
Ephrin B Signaling3.092.53
RhoA Signaling3.972.502
Glioma Invasiveness Signaling2.132.496
fMLP Signaling in Neutrophils4.442.449
Actin Cytoskeleton Signaling7.862.214
Production of Nitric Oxide and Reactive Oxygen Species in Macrophages2.012.117
Table 4
Ingenuity pathway analysis upstream regulators.

All possible upstream regulators where expression log ratio > 0.5, ABS(Z-score)>2, p-value<0.05, and agreement between predicted activation state and directionality of regulator’s gene expression, compiled using IPA core analysis for ScxLinDTR vs WT at day 28 post-repair.

Upstream regulatorExpression log ratioPredicted activation stateActivation Z-scorep-value of overlap
Activated in ScxLinDTR
S100A40.518Activated2.9460.00456
F20.533Activated2.6060.000134
BTNL20.805Activated2.3240.012
EBF20.657Activated2.2230.000738
F2R0.599Activated2.220.0243
NTRK20.608Activated2.1370.012
SOX21.138Activated2.0710.0000143
FGF20.544Activated2.0170.000393
Inhibited in ScxLinDTR
FOXO4−0.501Inhibited−2.6970.0236
MEF2C−0.905Inhibited−2.5773.06E-08
SMYD1−0.836Inhibited−2.2192.63E-12
LDHB−0.609Inhibited−2.2190.000241
Key resources table
Reagent type (species)
or resource
DesignationSource or referenceIdentifiersAdditional information
Genetic reagent (Mus musculus)Scx-CreDr. Ronen SchweitzerMGI:5317938Referred to as ScxLinin manuscript
Genetic reagent (Mus musculus)C57BL/6-Gt(ROSA)26Sortm1(HBEGF)Awai/J
(Rosa-DTRLSL)
Jackson LaboratoryStock #: 007900
RRID:IMSR_JAX:007900
Referred to as ScxLinDTRin manuscript
Genetic reagent (Mus musculus)B6.Cg-Gt(ROSA)26Sortm9(CAG-tdTomato)Hze/J (ROSA-Ai9)Jackson LaboratoryStock #: 007909
RRID:IMSR_JAX:007909
Referred to as ScxLinAi9or ScxLinAi9DTR in manuscript
AntibodyAnti-SCXA
(rabbit polyclonal)
AbcamCatalog #: ab58655
RRID:AB_882467
(1:500)
AntibodyAnti-S100a4 (rabbit monoclonal)AbcamCatalog #: ab197896
RRID:AB_2728774
(1:2000)
AntibodyAnti-cleaved caspase 3
(rabbit polyclonal)
Cell Signalling TechnologyCatalog #: 9661
RRID:AB_2341188
(1:100)
AntibodyAnti-PCNA
(mouse monoclonal)
AbcamCatalog #: ab29
RRID:AB_303394
(1:100)
AntibodyAnti-F4/80
(rabbit polyclonal)
Santa Cruz BiotechnologyCatalog #: sc-26643
RRID:AB_2098331
(1:500)
AntibodyAnti-THBS4 (rabbit monoclonal)AbcamCatalog #: ab263898(1:250)
AntibodyAnti-MFAP5 (rabbit monoclonal)AbcamCatalog #: ab203828(1:2000)
AntibodyAnti-Decorin
(Rabbit polyclonal)
AbcamCatalog #: ab175404(1:250)
AntibodyAnti-alpha-SMA-Cy3
(mouse monoclonal)
Sigma-AldrichCatalog #: C6198
RRID:AB_476856
(1:200)
AntibodyAnti-alpha-SMA-FITC
(mouse monoclonal)
Sigma-AldrichCatalog #: F3777
RRID:AB_476977
(1:500)
AntibodyRhodamine Red-X (RRX) AffiniPure F(ab')₂ Fragment Donkey Anti-Rabbit IgG (H+L)
(Donkey polyclonal)
Jackson ImmunoResearchCatalog #: 711-296-152(1:200)
AntibodyAlexa Fluor 488 AffiniPure F(ab')₂ Fragment Donkey Anti-Goat IgG (H+L)
(Donkey polyclonal)
Jackson ImmunoResearchCatalog #: 705-546-147
RRID:AB_2340430
(1:200)
AntibodyRhodamine Red-X (RRX) AffiniPure F(ab')₂ Fragment Donkey Anti-Mouse IgG (H+L)
(Donkey polyclonal)
Jackson ImmunoResearchCatalog #: 715-296-150
RRID:AB_2340834
(1:200)
Chemical Compound, DrugDiphtheria Toxin (DT)Millipore SigmaD0564-1MG20 ng DT / injection
Software, algorithmsGraphPad Prism softwareGraphPad Prism (https://graphpad.com)Version 7.02
Software, algorithmsOlyVIA softwareOlympus (https://www.olympus-lifescience.com/en/support/downloads/)Version 2.9
Software, algorithmsImageJ softwareImageJ (http://imagej.nih.gov/ij/)

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  1. Katherine T Best
  2. Antonion Korcari
  3. Keshia E Mora
  4. Anne EC Nichols
  5. Samantha N Muscat
  6. Emma Knapp
  7. Mark R Buckley
  8. Alayna E Loiselle
(2021)
Scleraxis-lineage cell depletion improves tendon healing and disrupts adult tendon homeostasis
eLife 10:e62203.
https://doi.org/10.7554/eLife.62203