Chromosome segregation is a mechanical process that requires assembly of the mitotic spindle – a dynamic microtubule-based force-generating machine. Connections to this spindle are mediated by sister kinetochore pairs, that form dynamic end-on attachments to microtubules emanating from opposite spindle poles. This bi-orientation generates forces that have been reported to stretch the kinetochore itself, which has been suggested to stabilise attachment and silence the spindle checkpoint. We reveal using three dimensional tracking that the outer kinetochore domain can swivel around the inner kinetochore/centromere, which results in large reductions in intra-kinetochore distance (delta) when viewed in lower dimensions. We show that swivel provides a mechanical flexibility that enables kinetochores at the periphery of the spindle to engage microtubules. Swivel reduces as cells approach anaphase, suggesting an organisational change linked to checkpoint satisfaction and/or obligatory changes in kinetochore mechanochemistry may occur before dissolution of sister chromatid cohesion.https://doi.org/10.7554/eLife.16159.001
Segregating multiple chromosomes into daughter cells is a major engineering challenge for the human cell: replicated chromosomes (sister chromatids) must form physical attachments to dynamic microtubules, which are organised into a bipolar scaffold (Dumont and Mitchison, 2009). Kinetochores mediate this attachment, and harness the pushing and pulling forces associated with microtubule polymerisation/depolymerisation to power chromosome movement (Rago and Cheeseman, 2013). Extensive biochemical work has assembled a detailed parts list for the kinetochore and we now understand that the core structure assembles in a hierarchical fashion with the CCAN (constitutive centromere associated network) physically bridging CENP-A containing chromatin and the microtubule-binding KMN network (KNL1, MIS12 and NDC80 complexes) (Pesenti et al., 2016). Multiple copies of each component (Suzuki et al., 2015) produce a supramolecular disk-shaped assembly with a (metaphase) diameter of ~200 nm and a depth of ~100 nm (Rieder and Salmon, 1998).
Insight into the in vivo mechanical properties of the kinetochore have come from elegant experiments in which two different components of the kinetochore along the chromosome-to-microtubule binding axis are labelled with different fluorophores, each producing a diffraction-limited spot. The distance between the spot centres is the “intra-kinetochore distance (delta; Δ)” (Figure 1A). Removing microtubule-pulling forces in both human and Drosophila cells has been shown to reduce the distance between centromeric chromatin and the microtubule-binding outer layer of the kinetochore by ~30 nm (Wan et al., 2009; Maresca and Salmon, 2009). This is interpreted as evidence of tension within the kinetochore generated by microtubule pulling, an event that has been linked to how kinetochores stabilise correct microtubule attachments and silence the spindle assembly checkpoint (Joglekar et al., 2009; Maresca and Salmon, 2009; Uchida et al., 2009; Drpic et al., 2015). However, the requirement for this intra-kinetochore tension in the checkpoint silencing mechanism has recently been challenged (Etemad et al., 2015; Tauchman et al., 2015; Magidson et al., 2016).
Counter intuitively, live cell imaging of proteins in the inner and outer domains of the kinetochore in PtK2 cells revealed that the kinetochore is compressed (rather than stretched) when under pulling force (Dumont et al., 2012). Moreover, following bi-orientation Δ does not increase or decrease as the inter-sister distance increases (the latter is known to vary under the forces acting on kinetochores during metaphase oscillations) suggesting that the kinetochore is now non-compliant (Suzuki et al., 2014). One possible explanation for these differences is the reliance on 1D or 2D measurement of the 3D movement of kinetochores within the spindle, while fixation conditions and the tilting of the kinetochore have also been found to have effects on Δ measurements (Magidson et al., 2016; Wan et al., 2009). Thus, live cell monitoring of Δ3D will be an important next step to understanding the micro-mechanics of the kinetochore.
To measure Δ in 3D we used eGFP-CENP-A (named CENP-A from here on) to mark the inner kinetochore domain and the carboxy (C)-terminus of the Ndc80 protein with tagRFP (Ndc80(C)) to mark the outer domain (Figure 1A and B) and tracked the spots in 3D with sub-pixel accuracy using a two-camera setup on a spinning disk confocal microscope (Figure 1C; see Materials and methods for details, including 3D chromatic aberration correction). We confirmed that kinetochore dynamics were normal following exogenous expression of Ndc80-tagRFP (Figure 1—figure supplement 1A and B). The 3D Euclidean distance Δ between eGFP and tagRFP spot centres (Δ3D) for sister kinetochore pairs in live cells was estimated to be 98.0 (± 0.9) nm (n = 4291; Figure 1D). Unlike in PtK2 cells (Dumont et al., 2012) we did not detect a difference between away-from-the-pole (AP) and poleward (P) moving kinetochores in either 3D (Figure 1E) or 2D measurements (Figure 1—figure supplement 1C). Our 3D measurement is somewhat larger than the ~60 nm predicted from previous measurements of CENP-A-to-Spc24 distance (Suzuki et al., 2014) and the position of the Ndc80 C-terminus based on electron microscopy of the purified complex (Wei et al., 2005). However, the CENP-A-to-Spc24 measurement in Suzuki et al. was effectively one-dimensional (Δ1D, see supplemental discussion); applying the same 1D method to our data gives a distance of 57.9 (± 1.1) nm (n = 1002; Figure 1D) indicating that projection effects (3D to 1D) may be giving a misleading picture of kinetochore structure/architecture.
To examine compliance under tension we analysed the correlation of Δ3D with the changes in inter-kinetochore distance that take place during kinetochore oscillations in metaphase. We found no correlation (Figure 1F) indicating that the CENP-A-to-Ndc80(C) connection is indeed non-compliant (stiff). To test this under more extreme changes of applied load, we tested how loss of microtubule attachment would affect Δ3D by treating cells with 3 µM nocodazole for 2 hr (Figure 2A, and Figure 2—figure supplement 1). We found that despite a 30% decrease (283 nm) in inter-kinetochore distance, d (Figure 2B), Δ3D was only marginally reduced by 5% (5 nm, significant at p = 0.012, n ≥ 649 for each condition). This small change in Δ3D for the CENP-A-to-Ndc80(C) linkage is consistent with the only other live measurement of Δ in human cells (between CENP-A and mCherry-Mis12) where Δ2D decreased marginally under nocodazole (Uchida et al., 2009). Our own 3D measurement between these same markers, and also between GFP-CENP-C and Ndc80(C), produced the same marginal 5–7 nm reductions in Δ3D (Figure 1—figure supplement 2, and Figure 1—source data 1). In paraformaldehyde fixed cells the distance between CENP-A and the position of the MIS12 complex (using anti-Nnf1 antibodies) was also reduced by 5 nm, while both eGFP-CENP-A and endogenous CENP-A (using anti-CENP-A antibodies) to Ndc80(C) give marginal changes (Figure 1—figure supplement 2 and Figure 1—source data 1).
Interestingly, the CENP-A-to-Ndc80(C) linkage was not affected following treatment with 10 µM taxol (p = 0.302; Figure 2—figure supplement 2). The spindle is retained under these conditions although microtubule dynamics are inhibited – reflected by the decrease in sister separation (Figure 2—figure supplement 2). This demonstrates that exerting pulling force on the kinetochore is not sufficient to change Δ3D and suggests that it is the presence of microtubules that induces a conformational change in the kinetochore.
We next tested whether there are changes in the outer domain of the kinetochore by determining the distance from eGFP-CENP-A and GFP-CENP-C to the amino (N)-terminal end of Ndc80 in live cells. We detected a ~15 nm reduction in Δ3D following nocodazole treatment, with up to half of this contributed from the change in the inner domain discussed above (Figure 1—figure supplement 2, and Figure 1—source data 1). The additional movement of the Ndc80 N-terminus may relate to the conformational change in the NDC80 complex that has been reported in budding yeast (Aravamudhan et al., 2015) although further experiments will be needed to confirm this. This delta change is smaller than that seen in fixed cells (see Etemad et al., 2015, and Figure 1—source data 1) a difference that may reflect the reported effects of fixation on kinetochore integrity/epitope accessibility (Magidson et al., 2016). We conclude that microtubule-pulling forces do not dramatically stretch the kinetochore and that the intra-kinetochore linkages are relatively stiff. This is consistent with previous work showing that the outer domain is non-compliant (Suzuki et al., 2014).
These changes in Δ3D are in stark contrast to the large changes we observe in projected distances, Δ1D and Δ2D, under nocodazole treatment (Figure 2—source data 1). For example, the CENP-A-to-Ndc80(C) measurement for Δ1D decreased by 70% from 57.9 (± 1.1) nm in untreated cells to 17.8 (± 4.4) nm in nocodazole treated cells. This 40 nm change observed in 1D is considerably more than the 5 nm (5%) changes in Δ3D. The observed discrepancy between Δ1D and Δ3D suggests that a rotation is present and that this is the major degree of freedom upon microtubule attachment (rather than the stretching of the kinetochore). This rotation of the outer kinetochore around the inner kinetochore is apparent in images of the eGFP-CENP-A and Ndc80-tagRFP signals, which are rarely perfectly co-linear (Figure 2D). This is not due to the kinetochore markers used because the same effect is seen when observing other inner/outer kinetochore markers (Figure 2—figure supplement 3). Thus, Δ1D underestimates the distance between the inner and outer kinetochore because the outer kinetochore exhibits substantial rotation (Figure 2D).
We sought to investigate this new degree of freedom, a phenomenon we call swivel. Swivel was calculated as the angle tended by the vector between the paired sisters’ eGFP signals (sister-sister axis) and the vector between the eGFP and tagRFP signals on each kinetochore (the kinetochore axis, defined by the inner/outer domain marker axis) (Figure 3A). This degree of freedom is distinct from the twist angle of a kinetochore pair, i.e. the angle tended between the sister-sister axis and the normal to the metaphase plate. Calculation of swivel across all untreated kinetochores yielded a median of 51.6° as compared to 73.8° in 3 µM nocodazole (Figure 3B) – this difference is significant (p < 10–4) and explains the decrease in the 1D measurement of Δ in nocodazole-treated cells. To remove effects due to the lower resolution in the z-axis, swivel was decomposed into components; we defined the y-directional swivel as the projection onto the xy-plane. This measurement showed that 3 µM nocodazole treatment results in a larger range of y-directional swivel (population standard deviation = 56.4° in untreated vs. 89.5° in 3 µM nocodazole), with some outer kinetochores capable of rotating inside the eGFP signal (i.e. y-swivel > 90°; Figure 3C), which explains the presence of negative measurements for Δ1D. We confirmed the increase in swivel between GFP-CENP-C and Ndc80(C) in live cells and between CENP-A and the MIS12 complex in paraformaldehyde-fixed cells treated with nocodazole (Figure 2—source data 1). This increase in 3D swivel and broadening of y-directional swivel using CENP-A-to-Ndc80(C) were also seen in 10 µM taxol-treated cells, albeit to a lesser extent (Figure 2—figure supplement 2). This condition leaves the spindle intact and suggests that loss of microtubule pulling force is sufficient to increase swivel, although loss of microtubule-kinetochore attachment increases swivel still further. Furthermore, y-swivel changes over time demonstrating that kinetochores do not have a fixed swivel, swivel potentially adapting to changes in microtubule attachment, microtubule forces and sister kinetochore dynamics (Figure 3C).
To ascertain the role of swivel, we observe that the kinetochore-to-pole angle decreases in the spindle towards the equatorial plane periphery, being collinear at the centre; swivel may thus enable kinetochores to correctly engage k-fibres across the metaphase plate (see Figure 1A). We found that kinetochore pairs at the centre of the metaphase plate exhibited a smaller degree of swivel compared to those at the periphery (Figure 4A and B). Plotting y-directional swivel against the position along the metaphase plate in the y-axis demonstrated that kinetochores begin to exhibit swivel towards their attached spindle pole (Figure 4B), a phenomenon that is more evident once kinetochore pairs are beyond 4 µm from the centre of the metaphase plate. To confirm this we performed immunofluorescence to visualise the k-fibres using anti-tubulin antibodies under paraformaldehyde fixation (Figure 2—figure supplement 1A). The eGFP, tagRFP and k-fibre signals were approximately co-linear, with the angles tended on the inter-sister axis by the k-fibre (kMT) and intra-kinetochore axes (y-swivel) being significantly correlated (r = 0.371, p < 10–4; Figure 4C, and Figure 4—figure supplement 1). This shows that outer kinetochore swivel can be used as a proxy for the direction in which the k-fibres are bound by the kinetochore – this is not surprising as Ndc80 binds microtubules directly.
Large changes in intra-kinetochore stretch have also been reported to be associated with the mechanism that satisfies the spindle assembly checkpoint, SAC (Maresca and Salmon, 2009; Uchida et al., 2009). Our live cell data questions this model and thus prompted us to investigate whether outer domain swivel was correlated with anaphase onset. To do this we took advantage of the observation that the thickness of the metaphase plate reduces as a cell transits metaphase and approaches anaphase onset (Jaqaman et al., 2010). We plotted the y-directional swivel against the position of a kinetochore in the y-direction and the thickness of the metaphase plate. Fitting a sheet to this data reveals how swivel clearly decreases as a cell moves through metaphase (Figure 4D). Our previous observation that swivel increases towards the periphery of the plate holds true across the range of plate thicknesses, although the range over which swivel increased at the plate periphery decreased with decreasing plate thickness (Figure 4D). Binning the plate thicknesses allowed a statistical comparison that peripheral kinetochores decreased absolute y-swivel from 45.7 (± 1.9) ° (n = 455) in early metaphase to 33.6 (± 1.4) ° (n = 460) in late metaphase (p < 10–4; Figure 4E and F, and Figure 4—source data 1). We can also confirm that Δ1D increases from early to late metaphase (Figure 4E, and Figure 4—source data 1), again suggesting that swivel can explain changes in intra-kinetochore stretch (1D) that have been linked to SAC silencing. On the other hand, Δ3D (CENP-A-to-Ndc80(C)) does not increase as metaphase progresses (Figure 4E), further highlighting how swivel is the distinctive mechanical change in kinetochore structure that correlates with time of anaphase onset.
At this stage it is unknown whether the swivel of the outer kinetochore has any direct role in the SAC silencing mechanism or whether it is a downstream event associated with the falling Cdk1-CyclinB activity that follows SAC satisfaction (Clute and Pines, 1999). What our data does suggest is that changes in swivel, being substantially greater than 3D distance changes, provide a proximity change between Aurora B and its substrates. How swivel relates to aurora kinase activity during early mitosis when error correction is active will be an important area for future study. It is also tempting to speculate that kinetochores are undergoing a shift in their mechanochemical status in readiness for the imminent onset of anaphase. As well as the swivel changes reported here, this may also directly relate to the observation that kinetochore speeds decrease as anaphase approaches (Jaqaman et al., 2010).
From a mechanical perspective, the swivelling of the outer kinetochore requires a flexible structure, that at the same time is non-compliant under varying load. One possibility is that the outer kinetochore can move and remodel relative to the fixed surface of the inner kinetochore (Figure 4G(ii)) as recently shown (Wynne and Funabiki, 2015; Magidson et al., 2016). We cannot rule out that we are observing a complete rotation of the whole kinetochore structure within the chromosome (Figure 4G(ii)). This idea is supported by the positive correlation in the tilt of elliptical CENP-A and Ndc80 fluorescence signals in fixed cell imaging (Wan et al., 2009). The fact that swivelling is most extreme on unattached kinetochores suggests that it may optimise the microtubule search-and-capture process (Figure 4G(i)) – this would have a similar effect to broadening of the microtubule-binding region of the kinetochore, as has been implicated in the timing and accuracy of search-and-capture (Zaytsev et al., 2015).
Finally, our work now opens up the possibility to map the 3D Euclidean distances between all kinetochore components, and between different domains within proteins and complexes. However, changes in delta under different physiological conditions need to be interpreted with caution as the shape and size of kinetochore domains are subject to change (see Magidson et al., 2016). Moreover, the NDC80 complex can be recruited via two distinct physical linkages (CENP-T and CENP-C/Mis12) which may have different compliances/conformational dynamics and further complicate interpretation of delta measurements. Nevertheless, delta and swivel do provide information on the supramolecular organisation of the kinetochore and as such should provide important insights into the mechanical and organisational changes that are taking place during the cycles of microtubule attachment and potential regulatory processes of error-correction and SAC activation/silencing.
An mCherry-Ndc80 plasmid (pMC299) was constructed by sub-cloning Ndc80 cDNA from pEGFP-Hec1 (kind gift of Eric Nigg) using KpnI and HindIII. Ndc80 cDNA was then amplified and ligated into tagRFP-N1 (pMC387; pEGFP-N1 (Clontech, Mountain View, CA) in which eGFP was replaced by tagRFP), creating Ndc80-tagRFP (pMC389). A Bub3-eGFP plasmid (pMC360) was generated by amplification by PCR of the short isoform of Bub3 cDNA using forward primer 5’-GCGCTCGAGATGACCGGTTCTAAC-3’ and reverse primer 5’-CGCCTGCAGAGTACATGGTGACTT-3’, and ligated into pEGFP-N1 (Clontech) using XhoI and PstI. To generate a HaloTag-CENP-A plasmid (pMC442), full-length CENP-A cDNA (GeneArt #2015ABQWHP, Thermofisher, Waltham, MA) was inserted into a pHTN HaloTag CMV-neo plasmid (Promega, Madison, WI) using EcoRI and XbaI sites. All constructs were confirmed by sequencing (Source BioScience, UK).
All HeLa-Kyoto (HeLa-K; ATCC® CCL-2™, UK) cells were grown in DMEM media (Fisher, UK) supplemented with 10% foetal calf serum (Fisher), 100 µg ml–1 penicillin and 100 µg ml–1 streptomycin maintained in 5% CO2 in a humidified incubator at 37°C. eGFP-CENP-A cells (Jaqaman et al., 2010) were maintained in 0.1 µg ml–1 puromycin (Fisher). mCherry-CENP-A cells (Armond et al., 2015) were maintained in 0.1 µg ml–1 puromycin (Fisher). eGFP-CENP-A / mCherry-CENP-A cells were maintained in 0.3 µg ml–1 puromycin and 300 µg ml–1 geneticin. eGFP-CENP-A / mCherry-Mis12 cells (Uchida et al., 2009) were maintained in 0.25 µg ml–1 puromycin and 500 µg ml–1 geneticin. HaloTag-CENP-A cells were maintained in 300 µg ml–1 geneticin. GFP-CENP-C cells (Klare et al., 2015), GFP-CENP-O cells (Amaro et al., 2010) and plain HeLa-K cells were maintained in antibiotic-free medium. The eGFP-CENP-A / mCherry-CENP-A cell line was established by stable transfection of eGFP-CENP-A plasmid into cells stably expressing mCherry-CENP-A. The HaloTag-CENP-A cell line was established by stable transfection of HaloTag-CENP-A plasmid into plain HeLa-K cells. All stable transfections were performed using FuGENE 6 (Promega) and single clones were selected by 300 µg ml-1 geneticin. eGFP-CENP-A / mCherry-CENP-A cells were imaged overnight to ensure that mitotic timings were unaffected by the additional incorporation of the fluorescently-tagged CENP-A. For live cell experiments all cell lines were cultured in FluoroDish tissue culture dishes with cover glass bottoms (WPI, Sarasota, FL).
Transient transfection of Ndc80-tagRFP was performed by incubating 0.67 µg ml–1 Ndc80-tagRFP plasmid and 4.5 µl ml–1 FuGENE 6 (Promega) separately in OptiMEM for 5 min, then combined for 30 min before application to cells; antibiotic-free DMEM was transferred to cells prior to addition of transfection reagent to cultured eGFP-CENP-A cells. Transfection was performed for 24 hr prior to drug treatment, or prior to imaging for untreated experiments. Transient transfections of mCherry-Ndc80 and Bub3-eGFP were performed as above, but instead using 3 µl ml–1 FuGENE 6 (Promega), and either 0.33 µg ml–1 Bub3-eGFP plasmid or 0.50 µg ml–1 mCherry-CENP-A plasmid. Our existing kinetochore tracking assay (Burroughs et al., 2015) was used to confirm that sister separation remained at ~950 nm and half-period of kinetochore oscillations remained at ~35 s for varying levels of Ndc80-tagRFP expression (Figure 1—figure supplement 1A and B), indicating that tagging the C-terminus of Ndc80 did not perturb kinetochore dynamics. This contrasts to previous work showing that attaching fluorescent markers to Ndc80’s N-terminus causes perturbed force generation in live cells (Mattiuzzo et al., 2011); we only use the mCherry-Ndc80 construct here for completeness. Nocodazole treatments were performed with 3 µM nocodazole (Fisher) for 2 hr prior to imaging. Taxol treatment was performed with 10 µM taxol (Tocris Bioscience, UK) for 1 hr prior to imaging. The loss of microtubules under 2 hr incubation of nocodazole was confirmed by immunofluorescence experiments (Figure 2—figure supplement 1).
All live images and movies were acquired using a confocal spinning-disk microscope (VOX UltraView; PerkinElmer, UK) with a 100X 1.4 NA oil objective and two Hamamatsu ORCA-R2 cameras, controlled by Volocity 6.0 (PerkinElmer) running on a Windows 7 64-bit (Microsoft, Redmond, WA) PC (IBM, New Castle, NY). Camera pixels had an effective pixel size of 69.4 nm in the axial direction, as measured using a microscopic ruler (Pyser SGI, UK). The two cameras were preliminarily aligned using Volocity by aligning 500 nm TetraSpeck fluorescence microspheres (Thermofisher) in the 488 and 561 nm wavelengths. For live cell imaging, a common light path containing two wavelengths was split by a dichroic to each of the two cameras to allow simultaneous imaging of two wavelengths. Cells were first identified using bright-field illumination to minimise phototoxicity. Interphase cells imaged for chromatic shift calculation were imaged over 121 z-slices separated by 100 nm for a single image stack. Laser power in the 488 and 561 nm wavelengths were both set to 15% with exposure time 50 ms per z-slice. Metaphase cells expressing eGFP-CENP-A and Ndc80-tagRFP were imaged over time for dual colour tracking (dynamic live movies), whilst all other metaphase cells were imaged at a single time point for dual colour spot finding (static live images), all utilising the two camera setup. For dynamic live movies, cells were imaged over 61 z-slices separated by 200 nm, for 5 min every 7.5 s (41 time points). Laser power in the 488 nm wavelength was set to 5%. Laser power in the 561 nm wavelength was set to 20% over z-slices 26–41 (from the bottom of the cell), and set to 0% for all other z-slices to minimise phototoxicity. Exposure time was 50 ms per z-slice. For static live images, cells were imaged over 61 z-slices separated by 200 nm for a single time point. Exposure time was 50 ms per z-slice, with laser power in the 488 and 561 nm wavelengths set to: 10% and 30% for eGFP-CENP-A / mCherry-Mis12; 20% and 30% for mCherry-CENP-A / Bub3-eGFP; 30% and 30% for GFP-CENP-C / Ndc80-tagRFP; 30% and 30% for GFP-CENP-C / mCherry-Ndc80; 40% and 20% for GFP-CENP-O / Ndc80-tagRFP, respectively, to optimise imaging. Spot centres were located as in the chromatic shift calculation, described below.
HeLa-K cells were prepared as above, except glass coverslips were used. Cells underwent pre-extraction for 30 s in fixation buffer (10 mM EGTA, 0.2% Triton-X100, 1 mM MgCl2, and 20 mM PIPES pH 6.8; all Sigma-Aldrich, St. Louis, MO), before addition of 4% paraformaldehyde (Sigma-Aldrich) for 10 min. Cells were then blocked for 30 min in PBS supplemented with 3% BSA (Sigma-Aldrich), then incubated for 90 min with primary antibodies, then a further 30 min with secondary antibodies and DAPI (1:6000 dilution); all antibodies were diluted in PBS + 3% BSA, and are listed below. Wash steps before and after antibody incubations were performed in PBS. All immunofluorescence experiments were imaged as for live cell imaging, but instead using a single camera. Cells were first identified by eye for DAPI signal. Metaphase cells were imaged over 61 z-slices separated by 200 nm (Figure 1—figure supplement 3), while interphase cells imaged for chromatic shift calculation were imaged over 121 z-slices separated by 100 nm. Exposure time was 50 ms per z-slice, with laser power in the 488 and 561 nm wavelengths set to: 10% and 30% for images of eGFP-CENP-A / Ndc80-tagRFP; 10% and 10% for eGFP-CENP-A / Nnf1-Alexa594; 10% and 30% for images of eGFP-CENP-A / mCherry-Ndc80; 10% and 30% for CENP-A-Alexa488 / Ndc80-tagRFP; and 20% and 20% for CENP-C-Alexa488 / mCherry-Ndc80, respectively, to optimize imaging. Spot centres were located (Figure 1—figure supplement 3), as described below. Sister kinetochores were manually paired for experiments expressing eGFP-CENP-A and Nnf1-Alexa488 in order to allow calculation of Δ1D. Laser power in the 640 nm wavelength was set to: 10% for images of eGFP-CENP-A / Nnf1-Alexa594; and 40% for images of eGFP-CENP-A / mCherry-Ndc80, for imaging of αTubulin-Alexa647.
Primary antibodies used were: mouse anti-CENP-A (1:500; Abcam, UK), guinea pig anti-CENP-C (1:2000; MBL, Woburn, MA), rabbit anti-Nnf1 (1:1000; McAinsh et al., 2006), and mouse anti-αTubulin (1:1000; Sigma-Aldrich). Secondary antibodies used were: AlexaFluor-488nm goat anti-mouse (1:500; Invitrogen, Carlsbad, CA), AlexaFluor-488nm goat anti-guinea pig (1:400; Life technologies, Carlsbad, CA), AlexaFluor-594nm goat anti-rabbit (1:500; Invitrogen), and AlexaFluor-647nm goat anti-mouse (1:500; Invitrogen).
All microscope images and movies were exported from Volocity 6.0 in. OME.TIFF format (The Open Microscopy Environment, UK). They were deconvolved in the 488 and 561 nm wavelengths within Huygens 4.1 (SVI), using point spread functions calculated from 100 nm TetraSpeck fluorescent microspheres (Invitrogen) using the Huygens 4.1 PSF distiller. Images were deconvolved in the 640 nm wavelength within Huygens 4.1 using a theoretical PSF. Deconvolved images were exported from Huygens 4.1 in. r3d format (Applied Precision, Slovakia), and read into MATLAB (R2012a; Mathworks, Natick, MA) using the loci-tools java library (The Open Microscopy Environment). Chromatic shift was calculated as described below. For dynamic live movies, sister kinetochores were detected using the eGFP signal, aligned, tracked and paired in MATLAB as previously described (Burroughs et al., 2015). tagRFP fluorescence signal was detected within a hemispherical mask with 300 nm radius directed normal to the metaphase plate and away from the sister pair centre; the hemisphere was centred at the eGFP coordinate, corrected for chromatic shift from the 488 to 561 nm wavelength. 3D Gaussians were then fit to tagRFP spots to find sub-pixel spot centre coordinates (in the same way as is done for eGFP signal), and corrected for chromatic shift into the eGFP wavelength frame of reference. For static live images, the centres of green fluorescence spots were located by 3D Gaussian mixture model fitting (MMF), and red fluorescence signal located, also by Gaussian MMF, within a 300 nm-radius sphere centred at the eGFP spot. Red spot coordinates were then corrected for chromatic shift. Sister kinetochores were manually paired for experiments expressing GFP-CENP-C and Ndc80-tagRFP in order to allow calculation of Δ1D. Custom written software for spot detection and analysis of data is available at http://mechanochemistry.org/mcainsh/software.php. Kinetochore spot coordinate data produced for this study are available at http://figshare.com, DOI: 10.6084/m9.figshare.3859503.
Δ3D was measured as the 3D Euclidean distance between eGFP and tagRFP spot centres. All 3D data for untreated and drug-treated cells were filtered so that the z-component of Δ3D (distance between eGFP and tagRFP signal from the same kinetochore) was no larger than 100 nm (half the z-pixel resolution). Δ1D measurements were calculated on this data as before (Wan et al., 2009; Maresca and Salmon, 2009) using 2D measurements of inter-kinetochore distances. All statistical tests were Mann-Whitney U tests.
was calculated using the dot product of the sister-sister and the intra-kinetochore axes. y-directional swivel () of a given kinetochore was calculated using the coordinates of the kinetochore’s tagRFP centre and the eGFP centres of each in the kinetochore pair in the xy-plane (Figure 3—figure supplement 1A). These coordinates form a triangle with sides of length inter-kinetochore distance , intra-kinetochore distance , and , defined as the distance between a kinetochore’s outer marker and its sister’s inner marker (Figure 3—figure supplement 1B). The cosine rule then allows calculation of y-swivel,
All statistical tests comparing swivel between conditions were Mann-Whitney U tests, except for in the bottom row of Figure 3B, where the F-test was used to compare distribution variances of y- and z-directional . The kinetochore-microtubule (kMT) axis was manually calculated in the microscope x’y’-axis by drawing a straight line along the length of the αTubulin-Alexa647 signal extending from a kinetochore. Each kinetochore in question was represented solely using its green fluorescence spot centre (i.e. without the red spot visible) to avoid bias derived from the knowledge of the intra-kinetochore axis. was calculated in the y-axis by the same method as y-directional (Figure 3—figure supplement 1A and B). The statistical significance of the correlation between the absolute values of and on the range [0°, 90°] in Figure 4—figure supplement 2 was calculated using Monte Carlo computation, with 106 permutations; no cases were as extreme as that observed indicating a p-value < 10–6. Assuming the correlations (Figure 4—figure supplement 1D) conform to a Gaussian distribution, we obtain the estimate p = 2.8 × 10–19 (z = 8.9). Correlation was also significant over the full range [–180°, 180°].
The distance (see Figure 2D) has a complex relationship with the intra-sister distances , and kinetochore swivels. The setup is shown in Figure 3—figure supplement 1C; this is a projection to 2D from 3D. , are the y-swivel of each kinetochore, and , , , are 2D intra-kinetochore and inter-fluorescent marker projected distances, i.e.
etc., in terms of the corresponding z-swivel. Mapping the distances in Figure 3—figure supplement 1C onto the sister-sister axis and its perpendicular, we obtain the configuration in Figure 3—figure supplement 1D. Pythagoras’ theorem then gives
This can be rearranged to give,
The distance is thus, to first order in , ( the mean of , ), a projection onto the sister-sister axis with the approximation, , although the second term is positive so will be an underestimate of the 1D projection distance. Since is of order 0.1 in HeLa cells, this approximation is at best incurring a 10% error. By estimating the swivel from the tilt of the fluorescent spots, Wan et al suggest that the projection from 2D to 1D can be corrected, estimating from . However, this is challenging even when using this approximation, only being straight forward if , which is not the case as these are themselves projections from 3D to 2D. Thus, , although attractive as a measurement because it isn’t affected by chromatic aberration, is a poor estimate of the intra-kinetochore distance because it is subject to multiple projection effects, and in fact underestimates the true 1D projection distance onto the sister-sister axis (at least to second order).
Chromatic shift was calculated for each imaging session using 3D image stacks of interphase HeLa-K cells with both green and red fluorescence signal located at the N-terminus of CENP-A. Chromatic shift correction of untreated and taxol-treated live dynamic movies of cells expressing eGFP-CENP-A and Ndc80-tagRFP were calculated using cells expressing both eGFP-CENP-A and mCherry-CENP-A, whilst chromatic shift correction of nocodazole-treated live dynamic movies, all static live and all immunofluorescence images were calculated using cells expressing HaloTag-CENP-A. HaloTag-CENP-A cells were prepared by simultaneously incubating with 2.5 µM Oregon Green (Promega) and 1 µM TMR (Promega) fluorescent ligands for 15 min, followed by 30 min incubation in ligand-free growth medium before imaging. Green and red fluorescence was imaged simultaneously on two separate CCD cameras with a voxel size of 69.4 × 69.4 × 100 nm. The centres of green spots were located by 3D Gaussian MMF, and red signal located, also by Gaussian MMF, within a 300 nm-radius sphere centred at the green spot. Chromatic shift from green to red signal, ζ = [ζx, ζy, ζz], also incorporating mis-alignment of the two cameras, was calculated as the 3D vector pointing from the green to the red spot centres in the microscope coordinate system. Quality of spots was optimised by accepting only green spots with intensity > 25% that of the maximum spot intensity, and those not located within 750 nm of another green spot. Due to a linear dependence in the dual camera setup of ζz on the focal distance away from the glass slide, ζz was shifted by +78.2 nm to adjust for the increased distance of the 3 µm thick region of the metaphase plate imaged in the eGFP/tagRFP channels from interphase to mitotic cells (this shift was not required when using a single camera for imaging, i.e. for the immunofluorescence experiments). The standard deviation of ζ distributions, averaged over all live dynamic experiments, were 25.5, 23.1 and 43.0 nm for ζx, ζy and ζz respectively. To validate our calculated chromatic shift we analysed the distribution of Δ in the x, y and z direction for the live dynamic untreated movies (Figure 1—figure supplement 4B). Δx should be bimodal and symmetrical about zero, because the Ndc80 and CENP-A signals are on average orientated along the normal to the metaphase plate pointing at one of the two spindle poles. The Δx distribution was bimodal with median value 5.4 (± 1.2) nm (n = 4291; Figure 1—figure supplement 4C). We expect Δy and Δz to be centred around zero because on average Ndc80 and CENP-A should not be displaced relative to each other in the y or z direction. This is the case with the median Δy and Δz values being 8.8 (± 1.0) nm and –2.9 (± 0.9) nm respectively (each n = 4291; Figure 1—figure supplement 4C). Thus, our shift correction from interphase cells when applied to metaphase cells recreates the known average geometry for the kinetochore inner and outer plates.
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Andrea MusacchioReviewing Editor; Max Planck Institute of Molecular Physiology, Germany
In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.
Thank you for submitting your article "Human kinetochores are swivel joints that mediate microtubule attachments" for consideration by eLife. Your article has been favorably evaluated by Vivek Malhotra (Senior Editor) and three reviewers, one of whom is a member of our Board of Reviewing Editors.
The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.
Intra-kinetochore distance (δ) measurements have a strong impact on the discussion of the physical changes kinetochores undergo when binding to microtubules, and of their influence on the spindle assembly checkpoint (SAC) and kinetochore-microtubule attachment. Most prior δ measurements have not systematically taken into account the displacement of kinetochores in the z-axis. This work addresses a gap in the field by tracking metaphase kinetochore pairs in 3D in live cells and measuring δ in unperturbed cells and cells treated with microtubule drugs that activate the SAC. In contrast with previous work, this study finds that there is no significant change in 3D distance between the inner and outer kinetochore. This calls into question the role of changes in δ as a signal for SAC satisfaction. The authors suggest that the intrakinetochore distance changes others report in 2D and 1D measurements actually occur because of a displacement of the outer kinetochore relative to the inner kinetochore, a feature they term "swivel". They find that kinetochore swivel increases in response to treatment with nocodazole and decreases as kinetochore-microtubule attachments form and mature. These findings identify a previously undescribed feature of kinetochore structure and challenge the existing model that intrakinetochore distance changes control the SAC. Swivel reflects the intrinsic mechanical flexibility of kinetochore structure, which may allow the kinetochore to stably maintain attachment to stiff microtubules.
The quality of the data shown in this manuscript is generally high and most conclusions are supported by experiments. The characterization of swivel as a new degree of freedom in kinetochore architecture is convincing and brings new insight into the dynamics of kinetochore structure (or lack thereof) during mitotic spindle assembly. The suggestion that swivel has been so far mistaken for actual changes in intra-kinetochore stretch, causing the distance between the inner and outer plates to be sometimes underestimated when measured in 1D, is also compelling.
The study's main conclusions, however, need further support by additional experiments and data analysis addressing the discrepancies between the presented results and previously reported changes in 2D and 3D intra-kinetochore stretch. If the source of discrepancy could be identified, the manuscript would certainly have a durable impact in the field.
The main conclusion of the manuscript is that the particular intra-kinetochore linkages monitored by the authors are not force compliant. This is an interesting and important conclusion, and the approach used here sets a standard for the field. The conclusions of the study are limited to the particular distance measurements chosen by the authors. Ultimately, the authors should attempt to address the discrepancy between this paper's results and the results of Etemad et al. Nat Comm 2015. Etemad et al. used CENP-C and the N-terminal region of Hec1 to calculate 3D intrakinetochore distances in fixed cells and found that the distance changes significantly in nocodazole. This suggests that the present manuscript's findings may reflect a different probe choice (e.g. CENP-A vs. CENP-C or N- or C-termini of Ndc80/Hec1). Alternatively, the difference might arise because Etemad et al. fixed cells where the authors use live cells. In either case, it would be important to identify the source of the discrepancy.
1) CENP-A overexpression may lead to broad CENP-A localization and create complications with centroid determination and its interpretation (e.g. see Discussion in Wan et al. Cell 2009). For these reasons, the authors may consider using CENP-C as another control – and provide population-level quantitative findings for it.
2) Addition of data with a more external outer kinetochore marker would have allowed to address the important question whether the flexibility of the Ndc80 complex is enabling force-compliance. One would also like to see δ measurements addressing the outer kinetochore (like in the case of Etemad et al. 2015), e.g. RFP-Nuf2 to GFP-CENP-A (we are aware that genetically encoded probes at the N-terminus of Hec1/Ndc80 leads to chromosome alignment errors).
3) If no change is observed with the new probes, it would be important to clarify if the source of the difference is created by the fixation.
4) The authors make a potentially nice point that the swivel angle and k-fiber angle match (Figure 4C and Figure 4—figure supplement 1), but do not show any population-level statistics/quantification of this co-linearity. This must be provided as conclusions cannot be made from single examples without knowing whether they represent population-level behaviour or not.https://doi.org/10.7554/eLife.16159.018
- Chris A Smith
- Andrew D McAinsh
- Andrew D McAinsh
- Nigel J Burroughs
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
We thank Emanuele Roscioli, Masanori Mishima and Rob Cross for helpful discussions regarding the manuscript. We are also grateful to E Nigg for Ndc80 cDNA, V Silio for Bub3-eGFP, P Meraldi for GFP-CENP-O cells, A Musacchio for GFP-CENP-C cells and T Hirota for eGFP-CENP-A / mCherry-Mis12 cells.
- Andrea Musacchio, Reviewing Editor, Max Planck Institute of Molecular Physiology, Germany
© 2016, Smith 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.