Skip to main content
Molecular Biology of the Cell logoLink to Molecular Biology of the Cell
. 2025 May 16;36(6):ar72. doi: 10.1091/mbc.E25-02-0083

The Kinesin-14 tail: Dual microtubule binding domains drive spindle morphogenesis through tight microtubule cross-linking and robust sliding

Stephanie C Ems-McClung a, MacKenzie Cassity b,†, Anjaly Prasannajith a, Claire E Walczak a,*
Editor: Sarah Wignall
PMCID: PMC12206513  PMID: 40327372

Abstract

Proper spindle assembly requires the Kinesin-14 (K-14) family of motors to organize microtubules (MT) into the bipolar spindle by cross-linking and sliding antiparallel and parallel MTs through their motor and tail domains. How they mediate these different activities is unclear. We identified two MT-binding domains (MBD1 and MBD2) within the Xenopus K-14 XCTK2 tail and found that MBD1 MT affinity was weaker than MBD2. Comparable with full-length GFP-XCTK2 wild-type protein (GX-WT), GFP-XCTK2 containing the MBD1 mutations (GX-MBD1mut) stimulated spindle assembly, localized moderately on the spindle, and formed narrow spindles. In contrast, GX-MBD2mut only partially stimulated spindle assembly, localized weakly on the spindle, and formed shorter spindles. Biochemical reconstitution of MT cross-linking and sliding demonstrated that GX-MBD2mut slid antiparallel MTs faster than GX-WT and GX-MBD1mut. However, GX-WT and GX-MBD1mut statically cross-linked the majority of parallel MTs, whereas GX-MBD2mut equally slid and statically cross-linked parallel MTs without affecting their sliding velocity. These results provide a mechanism by which the two different MBDs in the K-14 tail balance antiparallel MT sliding velocity (MBD1) and tight parallel MT cross-linking (MBD2), which are important for spindle assembly and localization, and provide a basis for characterizing how molecular motors organize MTs within the spindle.

INTRODUCTION

Spindles are composed of microtubules (MT) that are organized into a bipolar array by the action of MT-associated proteins and molecular motors, including the kinesin superfamily (Valdez et al., 2023). Most MT minus ends are focused at the spindle poles, resulting in a parallel arrangement in each half spindle. In the middle of the spindle, the plus ends of MTs extending from each of the poles overlap at the equator creating an antiparallel arrangement. Molecular motors that set up this array convert the chemical energy of ATP into force production for plus- or minus-end–directed motility and/or for the regulation of MT dynamics (Dujardin and Vallee, 2002; Canty et al., 2021; Gassmann, 2023; Yildiz, 2024). Motile kinesins can be either plus-end–directed or minus-end–directed motors, and during spindle assembly move chromosomes, transport MTs, and/or regulate MT dynamics (Yildiz, 2024).

Kinesin-14 family members (K-14) are minus-end–directed motors that function in spindle assembly by cross-linking and sliding MTs (She and Yang, 2017), contribute to pole focusing during both meiosis and mitosis (Endow et al., 1990; McDonald and Goldstein, 1990; Hatsumi and Endow, 1992; Endow et al., 1994; Walczak et al., 1997; Goshima et al., 2005; Syrovatkina and Tran, 2015; Higgins et al., 2016) and to spindle length control (Saunders et al., 1997; Matuliene et al., 1999; Mountain et al., 1999; Sharp et al., 2000; Cai et al., 2009; Hepperla et al., 2014; Yukawa et al., 2018). Spindle length regulation may be attributed in part to K-14 antagonism with the Kinesin-5 family that separates spindle poles (Saunders et al., 1997; Mountain et al., 1999; Sharp et al., 2000; Yukawa et al., 2018). In vitro, K-14s can provide an inward sliding force on antiparallel MTs opposite that of Kinesin-5 outward sliding forces, potentially acting as a brake (Peterman and Scholey, 2009; Hentrich and Surrey, 2010; Reinemann et al., 2018). K-14s are also implicated in parallel MT cross-linking and sliding in the spindle (Matuliene et al., 1999; Braun et al., 2009; Cai et al., 2009; Hepperla et al., 2014), which may help organize MTs and assist Kinesin-5 outward sliding forces (Henkin et al., 2022). K-14 function is also essential for clustering centrosomes to prevent multipolar divisions and subsequent cell death in cells with centrosome amplification (Kwon et al., 2008; Ganem et al., 2009) or endoreplication (Chen et al., 2016) due to severe aneuploidy, and is proposed to be the motorized force to pull centrosomes together (Rhys et al., 2018).

K-14s cross-link both antiparallel and parallel MTs, which requires both the motor and tail domains (Braun et al., 2009; Fink et al., 2009; Hentrich and Surrey, 2010; Braun et al., 2017) wherein tail binding to MTs is independent of the motor domain (Chandra et al., 1993; Hentrich and Surrey, 2010; Braun et al., 2017). The tail of Drosophila K-14 Ncd contains two MT-binding domains (MBD) with different MT affinities (Karabay and Walker, 1999; Szczęsna and Kasprzak, 2016), which may make multiple contacts on tubulin dimer (Wendt et al., 2003) and appears to rely in part on the acidic C-terminal tails of tubulin (Karabay and Walker, 2003; Furuta and Toyoshima, 2008). In vitro, K-14s robustly slide antiparallel MTs but slide parallel MTs less well or statically cross-link them (Fink et al., 2009; Hentrich and Surrey, 2010). MTs in an antiparallel orientation are slid in the same direction because MT sliding forces would be in the same direction regardless of the motor orientation (Fink et al., 2009), suggesting that there could be a coordination between the motors for antiparallel MT sliding. However, studies suggest that the density of the motors (Hentrich and Surrey, 2010; Braun et al., 2017) or diffusibility of the tail (Lüdecke et al., 2018) is inversely correlated with antiparallel sliding velocity. Little is known about how K-14s statically cross-link parallel MTs, but it is likely due to antagonzing sliding activities of randomly oriented motors within parallel cross-links that exert forces in opposite directions resulting in balanced forces that impede robust sliding (Fink et al., 2009; Hentrich and Surrey, 2010).

Given the necessity of the tail domain for MT cross-linking and sliding in the K-14 family and their roles in spindle assembly and bipolar division, it is important to understand how they differentially cross-link and slide both antiparallel and parallel MTs in vitro, and how these sliding abilities contribute to their physiological functions. If the presence of two MBDs in the K-14 tail is a conserved feature, as suggested by Drosophila Ncd (Karabay and Walker, 1999; Szczęsna and Kasprzak, 2016), this could imply that each MBD regulates one type of MT orientation or that their MT affinities might regulate cross-linking and sliding. To address these questions, we identified two MBDs in the tail of Xenopus K-14 XCTK2 and systematically characterized their MT affinities and their MT cross-linking and sliding abilities to correlate these activities to spindle assembly and morphology. We found that the two MBDs have different MT affinities with the weaker MBD1 imparting increased antiparallel sliding velocity that correlated with shorter spindles, whereas the tighter MBD2 robustly cross-linked parallel MTs that was important for robust spindle localization and spindle assembly. These findings provide a mechanism by which the affinity of each MBD balances distinct aspects of K-14 cross-linking and sliding, which can be correlated to their various biological functions.

RESULTS

The XCTK2 tail contains two MBDs, MBD1 and MBD2

Our previous studies showed that importin α/β, effectors of the RanGTP gradient around chromosomes, preferentially inhibit Xenopus XCTK2 antiparallel MT cross-linking and overall MT sliding (Ems-McClung et al., 2020), suggesting that biochemical differences may exist between the mechanisms of antiparallel versus parallel MT crosslinking and sliding. In addition, given the existence of two MBDs in the tail of Drosophila Ncd, one possibility is that there are two separate MBDs in the tail of K-14s that recognize two distinct MT orientations and/or regulate MT sliding in which one MBD is regulated by importin α/β. To investigate this idea, we generated a deletion series from the N-terminus (N1–N3) and the C-terminus (C1–C3) of the XCTK2 tail domain that were N-terminally tagged with YPet (yellow fluorescent protein for energy transfer) (Figure 1, A and B), purified the proteins (Supplemental Figure S1A), and tested them in MT cosedimentation assays in the absence and presence of importin α/β (Supplemental Figure S2A). MT binding relative to the full-length YPet-Tail was reduced for YPet-Tail N1 (p<0.05) but remained equivalent for YPet-Tail N2 (p = 0.999) and YPet-Tail N3 (p = 0.152) (Figure 1C). Of the C-terminal constructs, all three had MT binding that was indistinguishable from the full-length tail (YPet-Tail C1, p = 0.531; YPet-Tail C2, p = 0.249; and YPet-Tail C3, p>0.999). Importin α/β significantly inhibited MT binding of the full-length YPet-Tail (p<0.05), YPet-Tail N1 (p<0.0001), YPet-Tail N2 (p<0.0001), and YPet-Tail N3 (p<0.0001), which all contain the nuclear localization signal (NLS) of XCTK2 (Figure 1, B and C). In contrast, MT binding of the YPet-Tail C1 was not significantly inhibited by importin α/β, whereas with YPet-Tail C2 and YPet-Tail C3 MT binding was slightly inhibited (p<0.01). We suspect that the reduction in MT binding for YPet-Tail C2 and C3 is due to the predicted simple NLS in these proteins, which is not a functional NLS (Ems-McClung et al., 2004; Cai et al., 2009). Consistent with this idea, importin α/β affinity assays using Förster resonance energy transfer (FRET) (Ems-McClung and Walczak, 2020) with importin α-CyPet (cyan fluorescent protein for energy transfer)/importin β and YPet-Tail, YPet-Tail N3, YPet-Tail C2, or YPet-Tail C3 (Supplemental Figure S2B) show that YPet-Tail N3 has a lower apparent Kd and lower Bmax compared with YPet-Tail, p<0.05, suggesting a slightly higher importin α/β affinity, but YPet-Tail C2 and YPet-Tail C3 have about an 8-fold higher apparent Kd and about 6-fold lower Bmax compared with YPet-Tail, p<0.0001 (Figure 1D), consistent with an inability to robustly bind importin α/β. These results show that there are two separable MBDs in the tail of XCTK2, one of which is regulated by importin α/β through the NLS. Because YPet-Tail N3 and YPet-Tail C2 fragments had the most robust and reproducible MT binding, we used these for further analysis.

FIGURE 1:

FIGURE 1:

(A) Schematic of domain organization and amino acid numbers of the K-14 XCTK2 drawn to scale. The tail (pink) is at the N-terminus, the stalk (gray) is in the middle, and the motor (red) is at the C-terminus. The NLS is indicated by a blue bar. (B) Schematic of deletion series of the tail drawn to scale with the NLS indicated by a blue bar. (C) Bar graph of the mean ± SD of 0.5 µM YPet-Tail fragments bound to 5 µM MTs in the absence (solid) or presence (hashed) of 2 µM importin α/β in a MT cosedimentation experiment and analyzed by a two-way ANOVA. N = 3 to 6 independent experiments. (D) Importin α/β affinity assays using FRET with 0.1 µM importin α-CyPet/0.4 µM importin β and 0 to 2 µM YPet-Tail, YPet-Tail N3, YPet-Tail C2, or YPet-Tail C3 fit with a quadratic equation for binding and each concentration graphed as the mean ± SD from 4 to 7 independent experiments. (E) MT affinity curves of 0.5 µM YPet-Tail, N3 or C2 graphed as the mean ± SD of protein bound to increasing concentrations of MTs reported as tubulin monomer (0–20 µM) and fit to the quadratic equation for saturable binding. N = 3 to 8 independent experiments. The apparent affinity curves between YPet-Tail and N3, C2, and/or C3 proteins were compared with an extra sum-of-squares F test. ns, not significant; *, p<0.05; **, p<0.01; ****, p<0.0001.

If the MT-binding sites within the XCTK2 tail function as separable binding sites, then we would predict that each MBD could bind to a site on tubulin dimer within the MT polymer such that two MT-binding sites would exist per tubulin dimer. To determine the stoichiometry of MT binding, we measured the MT binding of YPet-Tail, YPet-Tail N3, and YPet-Tail C2 using MT cosedimentation with increasing concentrations of MTs (Supplemental Figure S2C) and fit the data to the stoichiometric quadratic equation (Bell et al., 2017). The stoichiometry model indicated that at least two full-length YPet-Tail proteins bound per tubulin dimer because the stoichiometry coefficient, s, was 2.4 (Supplemental Figure S2D). In contrast, the stoichiometry model indicated that YPet-Tail N3 and YPet-Tail C2 bound once per tubulin dimer, s = 1.1. One possibility is that each MBD binds to a tubulin monomer. If this is true, then the MT binding of the tail proteins should fit the quadratic equation plotted per tubulin monomer (Figure 1E). The MT binding of the YPet-Tail, YPet-Tail N3, and YPet-Tail C2 proteins fit this model well with YPet-Tail having a 6-fold higher apparent MT affinity compared with YPet-Tail N3, p<0.0001, and having an 8-fold higher apparent MT affinity than YPet-Tail C2, p<0.0001 (Figure 1E). Furthermore, the apparent affinity for MT binding of YPet-Tail N3 was about 2-fold higher than YPet-Tail C2 (p<0.05), suggesting that YPet-Tail N3 might have a slightly higher MT affinity. Together, these results suggest that the tail of XCTK2 contains an N-terminal MBD that can be inhibited by importin α/β (MBD1) and a C-terminal MBD that is not inhibited by importin α/β (MBD2), both of which bind a tubulin monomer within the MT.

MBD2 has higher MT affinity than MBD1 and is insensitive to importin α/β

To identify the key residues important in MT binding, we mutated lysine and arginine residues (K/R) to alanine in the N3 and C2 constructs (Figure 2A; Supplemental Figure S1B) and assayed them for their ability to bind MTs (Figure 2, B and C). Our previous studies indicated that mutation of the NLS reduced MT binding in the full-length tail (Ems-McClung et al., 2004); thus we compared MT binding of the NLSb partial mutation with the full mutation of both NLSa and NLSb (MBD1mut) in YPet-Tail N3 (Figure 2, A and B). YPet-Tail N3-MBD1mut containing six mutated K/R residues had a 10-fold higher Kd and an 8-fold lower Bmax, indicating a drastically reduced apparent MT affinity compared with YPet-Tail N3, p<0.0001 (Figure 2B). To inhibit the MT binding of MBD2, we systematically mutated three different sets of K/R residues within CyPet-Tail C2 (Figure 2, A and C). Ultimately, mutation of eight K/R residues in CyPet-Tail C2-MBD2mut increased the Kd 4-fold and reduced the Bmax 4-fold, significantly inhibiting the apparent MT affinity relative to CyPet-Tail C2, p<0.0001 (Figure 2C).

FIGURE 2:

FIGURE 2:

(A) Schematic of the XCTK2 Tail protein and mutated Tail N3 or Tail C2 protein amino acid sequences drawn to scale with K/R indicated in red and mutated K/R in black. The NLS is indicated with a blue bar. MT affinity curves from MT sedimentation assays comprising 0.5 µM WT or mutated (B) YPet-Tail N3 or (C) CyPet-Tail C2 graphed as the mean ± SD of tail protein bound to increasing concentrations of MTs reported as tubulin monomer (0-20 µM) and fit to the quadratic equation for saturable binding. The apparent affinity curves between WT YPet-Tail N3 or CyPet-Tail C2 proteins and each mutant were compared with an extra sum-of-squares F test. N = 3 to 6 independent experiments. ****, p<0.0001.

To address the relative MT affinities of the two MBDs in the context of the full-length XCTK2 tail, we incorporated the MBD1mut and MBD2mut mutations individually and together into the full tail domain (Figure 3A; Supplemental Figure S1C) and assessed their apparent MT binding affinities (Figure 3B). MT binding of YPet-Tail-MBD1mut had a 6-fold lower apparent affinity than wild-type (WT) YPet-Tail, p<0.0001, and YPet-Tail-MBD2mut had a 27-fold lower apparent affinity, p<0.0001. Congruent with mutating both MBDs, YPet-Tail-MBD1-2mut did not effectively bind MTs and had an apparent affinity 423-fold lower than YPet-Tail, p<0.0001. These results suggest that MBD2 has a higher MT affinity than MBD1 in the context of the full-length tail since YPet-Tail-MBD1mut with functional MBD2 had a 4-fold higher apparent affinity than YPet-Tail-MBD2mut, p<0.0001 (Figure 3B). These results indicate that we have identified the key residues that mediate MT binding of each MBD within the XCTK2 tail.

FIGURE 3:

FIGURE 3:

(A) Schematic of the WT and mutant XCTK2 Tail protein amino acid sequences drawn to scale with K/R residues indicated in red and mutated K/R in black. The NLS is indicated with a blue bar. (B) MT affinity curves from MT cosedimentation assays of 0.5 µM WT or MBD mutated full-length tail proteins graphed as the mean ± SD of tail protein bound to increasing concentrations of MTs reported as tubulin monomer (0–20 µM) and fit to the quadratic equation for saturable binding. The apparent affinities between YPet-Tail and each MBD mutant were compared with an extra sum-of-squares F test. N = 3 to 8 independent experiments. (C) Bar graph of the mean ± SD amount of 0.5 µM full-length YPet-Tail or MBD mutant proteins bound to 5 µM MTs in the absence (solid) or presence (hashed) of 2 µM importin α/β in a MT cosedimentation experiment and compared using a two-way ANOVA. N = 3 independent experiments. (D) Bar graph of the mean ± SD amount of 0.1 µM full-length GFP-XCTK2 WT or MBD mutant proteins in the absence (solid) or presence (hashed) of 0.4 µM importin α/β bound to 1 µM MTs in 2 mM MgATP (dark) or 2 mM MgADP+20 mM Pi (light) in a MT cosedimentation experiment and compared using a three-way ANOVA. N = 3 to 4 independent experiments. ns, not significant; **, p<0.01; ***, p<0.001; ****, p<0.0001.

XCTK2 tail MT binding is regulated by importin α/β (Ems-McClung et al., 2004), and this regulation is important physiologically because XCTK2 association with the spindle is spatially regulated by importin α/β through the RanGTP gradient (Weaver et al., 2015; Ems-McClung et al., 2020). To test how importin α/β affect MT binding of the full-length tail with the MBD mutations, YPet-Tail, YPet-Tail-MBD1mut, YPet-Tail-MBD2mut, or YPet-Tail-MBD1-2mut were incubated with MTs in the absence or presence of importin α/β in the MT cosedimentation assay (Figure 3C). Consistent with our initial assay (Figure 1C) and with our previous findings (Ems-McClung et al., 2004), YPet-Tail bound MTs well in the absence of importins, but MT binding was reduced in the presence of importin α/β, p<0.001. YPet-Tail-MBD1mut also bound MTs well, but MT binding was insensitive to importin α/β as expected because the K/R residues mutated in MBD1mut constitute the NLS. In contrast, the MT binding of YPet-Tail-MBD2mut was dramatically inhibited by the importins, p<0.0001. Mutation of both MBDs in YPet-Tail-MBD1-2mut resulted in the inability of the tail to bind MTs, p<0.0001, as expected based on its drastically reduced MT affinity (Figure 3B). These results are consistent with MBD1 being the Ran-regulated MBD and that in the presence of importins any MT binding of the tail likely occurs through MBD2.

To examine how the MBD mutations affect MT binding of the dimeric full-length protein, we introduced the MBD1mut and MBD2mut mutations individually and together (MBD1-2mut) into green fluorescent protein (GFP) tagged full-length XCTK2 (GFP-XCTK2), expressed and purified them (Supplemental Figure S1C), and then performed a MT cosedimentation assay in 2 mM MgATP or 2 mM MgADP + 20 mM Pi in the absence or presence of importin α/β (Figure 3D). In the absence of importins and the presence of MgATP, GFP-XCTK2 (GX-WT), GFP-XCTK2-MBD1mut (GX-MBD1mut), and GFP-XCTK2-MBD2mut (GX-MBD2mut) bound MTs similarly and well, consistent with the motor domains readily binding MTs in MgATP (Figure 3D; importin α/β, ATP). GFP-XCTK2-MBD1-2mut (GX-MBD1-2mut), on the other hand, bound MTs 16% less well than GX-WT, p<0.0001. The reduced MT binding of GX-MBD1-2mut indicates that tail MT binding does contribute to the overall protein binding in MgATP, which is consistent with the idea that the tail domain tethers K-14s between cross-linked MTs during their catalytic cycle (Braun et al., 2017). To assess the contribution of the tail MBDs to MT binding in the absence of motor domain MT binding, we assayed MT binding in the presence of MgADP+Pi, where the motor domains are predominantly not bound to MTs (Rosenfeld et al., 1996; Foster et al., 1998). For GX-WT, most of the protein was still bound to MTs in MgADP+Pi, whereas mutation of either MBD reduced MT binding ≥50% compared with its MT binding in MgATP, p<0.0001, and compared with GX-WT in MgADP+Pi, p<0.0001 (Figure 3D; - Importin α/β). These results suggest that mutation of either one of the tail MBDs hinders the ability of the tail to tether the protein to MTs during its catalytic cycle in vitro. In addition, MT binding of GX-MBD1mut in MgADP+Pi was ∼2-fold higher than GX-MBD2mut, p<0.0001, consistent with the MT affinities determined above that indicated functional MBD2 has tighter MT affinity than functional MBD1 (Figure 3, B and D). MT binding of GX-MBD1-2mut was minimal in MgADP+Pi, p<0.0001 (Figure 3D), consistent with our finding that these mutations abolish MT binding by the tail (Figure 3, B and C).

To assess how the importins regulate MT binding of full-length GX-WT and the MBD mutants during their catalytic cycle, we added the importins in excess to full-length protein in the MT cosedimentation assay in the presence of MgATP or MgADP+Pi (Figure 3D, + Importin α/β). Addition of the importins had no effect on the MT binding of any of the proteins in MgATP compared with without importins, consistent with MT binding occurring predominantly through the motor domain in this nucleotide condition. However, the presence of the importins reduced GX-WT MT binding 64% in the presence of MgADP+Pi compared to without importins, p<0.0001, consistent with MBD1 MT binding being inhibited. Importin addition to GX-MBD1mut or GX-MBD1-2mut in MgADP+Pi did not further inhibit MT binding due to the mutated NLS in MBD1. GX-MBD2mut MT binding in the presence of MgADP+Pi and importins was reduced by 43% compared to without importins, p<0.01, consistent with importin mediated inhibition of MBD1 MT binding. Together our results support the idea that MT binding by the tail domain is important to tether the full-length protein to MTs during its catalytic cycle, that the two tail MBDs have different MT affinities (MBD2 > MBD1), and that MT binding by MBD1 is regulated by the Ran pathway.

MBD1 and MBD2 differentially promote spindle assembly and morphogenesis

To understand how the differences in MT affinity of the two different MBDs impact XCTK2 physiological function, we examined how full-length GX-WT or the MBD mutant proteins affected spindle assembly in Xenopus egg extracts (Figure 4A). With the addition of a 2.5-fold molar excess of protein, both GX-WT and GX-MBD1mut localized heavily to spindles assembled in cytostatic factor (CSF) extracts (Figure 4A; Supplemental Figure S3A) and stimulated the formation of spindles (bipolar and/or multipolar spindles) relative to spindle intermediates (asters and half spindles) that was ∼2-fold over that of GFP control, p<0.01 and p<0.05, respectively (Figure 4B), consistent with our previous findings that over addition of XCTK2 increases the efficiency of spindle assembly (Walczak et al., 1997; Cai et al., 2009; Weaver et al., 2015). GX-MBD2mut increased spindle assembly by 52% over GFP control and 27% less than GX-WT but was not significantly different from either GFP control or GX-WT (Figure 4B), which suggests a partial stimulation of spindle assembly. GX-MBD2mut did not localize well to spindle assembly structures (Figure 4A), which may account for its less efficient stimulation of spindle assembly. GX-MBD1-2mut was unable to stimulate spindle assembly over GFP control (Figure 4B) and localized poorly to spindle assembly structures (Figure 4A), consistent with our previous results with GFP-XCTK2 (122-643) lacking the tail domain (Weaver et al., 2015). These results suggest that MBD1 is dispensable for the stimulation of spindle assembly and that the tighter MT affinity of MBD2 is sufficient for the full-length protein to bind to spindle MTs and stimulate spindle assembly in extracts.

FIGURE 4:

FIGURE 4:

(A) Representative images of spindle structures assembled in CSF extracts in which 50 nM GFP, GX-WT, GX-MBD1mut, GX-MBD2mut, or GX-MBD1-2mut were added. The individual MT and GFP channels are grayscale. For the combined images, MTs are magenta, GFP protein is green, and DNA is blue. Scale bar, 20 µm. (B) Percentages of spindles formed by the over addition of GX proteins as described in A. Data are from 5 to 6 independent CSF extracts graphed as the mean ± SD. Spindle numbers: GFP control n = 615, GX-WT n = 603, GX-MBD1mut n = 599, GX-MBD2mut n = 609, GX-MBD1-2mut n = 640. ns, not significant; *, p<0.05; **, p<0.01.

To investigate how differences in tail MT binding impacts protein localization and spindle morphology, we assembled cycled spindles, which are more uniform and robust, in the presence of a 2.5-fold molar excess of GX-WT, GX-MBD1mut, or GX-MBD2mut (Figure 5A; Supplemental Figure S3B). We did not assess GX-MBD1-2mut since it did not stimulate CSF spindle assembly, and because it localized poorly to spindles. Spindles assembled in the presence of GX-WT appeared to have more MTs compared with GFP control (Figure 5A, first row), suggesting increased MT polymer. In contrast, spindle MTs with GX-MBD1mut and GX-MBD2mut did not appear as bright as GX-WT spindle MTs (Figure 5A). To determine whether the over addition of the GX proteins increased spindle MT polymer, we measured the total integrated MT intensities of the spindles in each condition (Figure 5B). GX-WT spindles had higher MT intensities than the GFP control or the MBD mutants, p<0.0001, suggesting that GX-WT over addition increased total MT polymer. Over addition of the MBD mutants did not increase total MT intensities significantly, suggesting that they do not elevate overall MT polymer levels. Visually, GX-WT and GX-MBD1mut localized well to spindles, whereas GX-MBD2mut localized less effectively (Figure 5A, second row), consistent with the observations in the CSF spindle assembly reactions. To compare the localization of the added proteins, we used the integrated GFP intensities because the spindle areas with the over addition of the GX proteins were reduced compared with GFP control (Supplemental Figure S3C). GX-MBD1mut localization on spindles was 45% lower than GX-WT (p<0.01) (Figure 5C), which aligns with previous findings that RanGTP recruits endogenous XCTK2 to the spindle via the NLS, which resides within MBD1 (Ems-McClung et al., 2020). GX-MBD2mut accumulated 76% less than GX-WT (p<0.0001) and 57% less than GX-MBD1mut, p<0.0001, suggesting that the higher MT affinity of functional MBD2 in GX-WT and GX-MBD1mut may help tether the protein to the MTs of the spindle or that other mechanisms govern spindle localization via the MBDs.

FIGURE 5:

FIGURE 5:

(A) Representative images of spindles assembled in cycled extracts in which 50 nM GFP, GX-WT, GX-MBD1mut, or GX-MBD2mut were added. Individual MT and GFP channels are grayscale. For the combined images, MTs are magenta, GFP protein is green, and DNA is blue. Scale bar, 20 µm. Measured integrated MT intensity (B) and integrated GFP intensity (C) plotted with the mean ± SD from N = 3 independent experiments. (D–F) Line scans normalized to spindle length of integrated MT intensity (D), integrated GFP intensity (E), or the ratio of integrated GFP to MT intensity (F), plotted as the mean ± SEM. (G–I) The p values at each spindle position are graphed between (G) GX-WT and GX-MBD1mut or (H) GX-MBD2mut, and between (I) GX-MBD1mut and GX-MBD2mut. (J) Spindle length, and (K) spindle width are plotted with the mean ± SD. Spindle numbers: GFP control n = 273–274, GX-WT n = 296, GX-MBD1mut n = 305–308, GX-MBD2mut n = 300–301. ns, not significant; **, p<0.01; ****, p<0.0001.

To ask whether the mutations affected the distribution of the proteins on the spindle, we did a line scan analysis from pole-to-pole to assess the distribution of MT and GFP intensities across the spindle (Figure 5, D–F). Spindles with GFP control protein showed increased MT intensity near the poles relative to the body of the spindle. Spindles with GX-WT had increased MT polymer levels over that of GFP control, especially in the body of the spindle (Figure 5D). GX-MBD1mut addition also increased the MT polymer levels in the body of the spindle over that of GFP control, but MT intensities were more evenly distributed across the spindle. The overall MT intensities of spindles with GX-MBD2mut were also higher than spindles with GFP control but were lower than GX-WT and GX-MBD1mut in the body of the spindle. The differences in the levels of GFP intensity of spindles with GX-WT, GX-MBD1mut, and GX-MBD2mut correlated with the differences in intensities of MTs in the spindles (Figure 5E). To ask whether the increased amounts of the added GX proteins on the spindle were due to the changes in MT polymer and distribution, we calculated the ratio of the integrated GFP intensities to integrated MT intensities along each spindle (Figure 5F). The ratio of GX-WT to MT intensity was lower in the middle of the spindle and higher near the poles, which is consistent with the endogenous localization of XCTK2 described previously (Walczak et al., 1997). GX-MBD1mut and GX-MBD2mut were more evenly distributed across the spindle at levels less than GX-WT. To compare the difference in the distribution of the proteins across the spindle, we performed statistical tests on the GFP/MT intensity ratios for each pair of proteins at each position along the spindle and plotted the p values (Figure 5, G–I). GX-WT was higher throughout the spindle compared with GX-MBD1mut except at the poles, whereas GX-WT was higher than GX-MBD2mut across the entire spindle (Figure 5, G and H). In addition, GX-MBD1mut was higher than GX-MBD2mut across the entire spindle (Figure 5I). These results suggest that both MBDs are needed for the increased GX-WT accumulation on the spindle, and that the levels of GX protein localization correlate with the affinity of the tail for MTs.

When examining the morphological differences of the spindles, we noted that spindles with GX-WT and GX-MBD1mut appeared narrower than spindles with control GFP and that spindles with GX-MBD2mut appeared shorter than control spindles (Figure 5A), suggesting that the different MBDs contributed differentially to spindle morphogenesis. To characterize the spindle morphologies, we measured the length and width of the spindles (Figure 5, J and K). Spindles with GX-WT and GX-MBD1mut were similar in length to control spindles (Figure 5J) but were ∼2 µm thinner (p<0.0001) (Figure 5K), suggesting that the over addition of the tighter MT binding of MBD2 may bundle or more stably cross-link MTs within the spindle, resulting in thinner spindles. Consistent with this idea, the areas of spindles with GX-WT and GX-MBD1mut were smaller than GFP control, p<0.0001, but equivalent to one another (Supplemental Figure S3C). Despite its reduced localization, spindles with GX-MBD2mut were ∼3 µm shorter than control spindles (p<0.0001) and ∼2 µm shorter than spindles with GX-WT (p<0.01) but were as wide as control spindles (Figure 5, J and K). The reduced length of spindles with GX-MBD2mut correlated with their reduced spindle areas compared with GFP control spindles, p<0.05 (Supplemental Figure S3C). The shorter spindle lengths of spindles with GX-MBD2mut could be due to better antiparallel sliding and/or hindered tight MT cross-linking due to the MBD2 mutations. Together, these results suggest the MBDs may regulate spindle length through two modalities: antiparallel sliding modulated via MBD1 and stable MT cross-linking by MBD2.

Dual tail MBDs control antiparallel MT sliding velocity (MBD1) and the extent of parallel MT cross-linking (MBD2)

Our previous studies showed that importin α/β preferentially inhibited antiparallel MT cross-linking and MT sliding (Ems-McClung et al., 2020), which may indicate that the two MBDs in the tail modulate different types of cross-links where MBD1 is needed for antiparallel MT cross-linking, and MBD2 is needed for parallel MT cross-linking. Alternatively, the strength of tail MT binding or the diffusibility of the tail has been suggested to modulate the robustness of MT sliding (Braun et al., 2017; Lüdecke et al., 2018), which might suggest that the weaker MT affinity of MBD1 may contribute to robust MT sliding, which is more prevalent in antiparallel cross-links, whereas the tighter MT affinity of MBD2 may contribute to the tighter cross-linking and reduced sliding of parallel MTs.

To examine how the differential MT affinities of the MBDs affect MT cross-linking and sliding, we performed timelapse microscopy of polarity marked MTs with GX-WT, GX-MBD1mut, GX-MBD2mut, or GX-MBD1-2mut undergoing cross-linking and sliding on template MTs (Figure 6, A and B) and scored the number of cargo MTs and their behavior. Because mutation of the tail MBDs reduced the overall number of MT cross-links, we used twice the amount of mutant protein relative to WT (10 vs. 5 nM) to have sufficient cross-links to analyze. With GX-WT, GX-MBD1mut, or GX-MBD2mut, cargo MTs cross-linked to template MTs and/or glided across the surface of the coverslip, whereas with GX-MBD1-2mut, the cargo MTs were either statically cross-linked or stuck to the slide without any directed movement. When GX-WT, GX-MBD1mut, or GX-MBD2mut glided on the surface of the chambers, the long extension of the polarity marked MTs always led, consistent with XCTK2 being a minus-end–directed motor like other K-14 proteins (Chandra et al., 1993; Stewart et al., 1993; Furuta et al., 2008; Fink et al., 2009; Hentrich and Surrey, 2010; Duan et al., 2012; Braun et al., 2017). When scoring the number of cargo MTs per field of view (Figure 6B), GX-WT had the most cargo MTs present, whereas GX-MBD1mut and GX-MBD2mut had ∼60% fewer cargo MTs, p<0.01, and GX-MBD1-2mut had very few cargo MTs, p<0.0001 (Figure 6C). Because GX-MBD1-2mut had very few cargo MTs, we did not further analyze movies with this protein. These results are consistent with our biochemical characterization of the tail in which mutation of either MBD reduced the MT binding affinity compared with the WT tail, and mutation of both MBDs dramatically inhibited the ability of the tail to bind MTs and thus prevented MT cross-linking.

FIGURE 6:

FIGURE 6:

(A) Schematic of the MT cross-linking and sliding assay showing the directionality that the cargo MT can move depending on the orientation and movement of the motor when MTs are cross-linked in an antiparallel (left) or parallel (right) manner. MT plus ends are indicated by a plus sign (+), and the direction of motor or cargo MT movement is indicated by an arrow. Polarity marked MT plus ends polymerize faster and either result in a single extension or a longer extension than the minus ends. (B) Representative fields of view of the cross-linking and sliding assays in which 5 nM GX-WT or 10 nM GX-MBD1mut, GX-MBD2mut, or GX-MBD1-2mut were added. Scale bar, 20 µm. (C) Average number of cargo MTs in three fields of view plotted as the mean ± SD and compared with a one-way ANOVA. GX-WT, n = 372; GX-MBD1mut, n = 155; GX-MBD2mut, n = 138; GX-MBD1-2mut, n = 20. (D) Average percentage of cross-linked cargo MTs that were in aligned antiparallel or parallel MT cross-links plotted as the mean ± SD and compared with a two-way ANOVA. GX-WT, n = 107; GX-MBD1mut, n = 123; GX-MBD2mut, n = 93. For all data, n is the number of MTs in N = 4 independent experiments. ns, not significant; **, p<0.01; ****, p<0.0001.

To ask how mutation of the tail MBDs impacted the orientation and sliding of the MT cross-links, we analyzed similar numbers of cross-linked MTs from four independent experiments for an average of 35 MT cross-links for GX-WT (n = 138 total cross-links), 38 MT cross-links for GX-MBD1mut (n = 152 total cross-links), and 38 MT cross-links for GX-MBD2mut (n = 151 total cross-links). From these MT cross-links, we determined the percentage of MT cross-links that were aligned antiparallel or parallel (Figure 6D). GX-WT preferentially cross-linked antiparallel MTs compared with parallel MTs, p<0.01, whereas GX-MBD1mut and GX-MBD2mut crosslinked antiparallel and parallel MTs in similar proportions (Figure 6D), consistent with previous studies (Fink et al., 2009; Hentrich and Surrey, 2010; Ems-McClung et al., 2020). The observation that mutation of either MBD does not specify a preference for one type of cross-link goes against the idea that each MBD is responsible for one type of MT cross-link orientation and suggests that the tail does not explicitly determine the orientation of the cross-link.

If the tail MBDs do not determine the orientation of MT cross-links, then perhaps they control MT sliding behavior such as the extent or velocity of sliding. Cargo MTs aligned in antiparallel or parallel MT orientations by GX-WT, GX-MBD1mut, or GX-MBD2mut were observed to either slide or be statically cross-linked (Figure 7A; Supplemental Videos S1–S3). All three proteins slid the majority of the antiparallel MT cross-links (75–95%) with the cargo MT plus ends always moving toward the minus ends of the template MTs (Figure 7, A and B; Supplemental Videos S1–S3), consistent with previous work (Fink et al., 2009; Hentrich and Surrey, 2010; Braun et al., 2017). For aligned parallel MT cross-links that slid, the cargo MTs either slid their minus ends toward the minus ends of the template MTs or slid their plus ends toward the plus ends of the template MTs (Figures 6A and 7A). In the presence of GX-WT and GX-MBD1mut, only a small percentage of parallel cargo MTs slid (9–21%) with the remaining being statically cross-linked (Figure 7B), consistent with previous results that most parallel MT cross-links are static (Fink et al., 2009; Hentrich and Surrey, 2010; Braun et al., 2017). In contrast, GX-MBD2mut slid 51% of the parallel MT cross-links, suggesting that the weakened tail MT affinity modulates the extent of parallel MT sliding (Figure 7B).

FIGURE 7:

FIGURE 7:

(A) Representative image series at two-minute intervals of aligned antiparallel and parallel MT cross-linking and sliding events. The schematic above each panel represents the MTs in the corresponding image with the MT plus ends (+) and the direction of sliding (arrow) indicated. The asterisks in the images indicate the plus end of the long extension of the polarity marked MT over time. Note that in the GX-WT, GX-MBD1mut, and GX-MBD2mut antiparallel and GX-MBD2mut parallel sliding events that the cargo MT slides off the template MT and continues moving by gliding at a faster velocity. Scale bar, 10 µm. (B) Average percentage of aligned cargo MTs that slid or were statically cross-linked in antiparallel or parallel configurations plotted as the mean ± SD and compared by a two-way ANOVA. Total cargo MTs for each category are indicated in the graph. (C) Average MT sliding velocities of cargo MTs in aligned antiparallel or parallel MT cross-links plotted as the mean ± SD and compared with a two-way ANOVA. GX-WT, antiparallel MTs n = 54 and parallel MTs n = 4; GX-MBD1mut, antiparallel MTs n = 47 and parallel MTs n = 15; GX-MBD2mut, antiparallel MTs n = 40 and parallel MTs n = 31. N = 4 independent experiments. ns, not significant; *, p<0.05; **, p<0.01; ****, p<0.0001. (D and E) Weaker functional MBD1 (GX-MBD2mut) slides antiparallel MTs faster than functional MBD2 (GX-MBD1mut) (D). Tighter functional MBD2 statically cross-links more parallel MTs than functional MBD1 (E). MT plus ends are indicated by a plus sign (+), and the direction of MT sliding and motor motility are indicated by arrows.

Movie S1.

Download video file (1,022KB, mp4)

Aligned MT sliding of anti-parallel (left) and parallel (right) MT cross-links of GX-WT (S1), GX-MBD1mut (S2), or GX-MBD2mut (S3). Template MTs have magenta seeds and gray extensions, and cargo MTs have gray seeds and magenta extensions. Scale bar, 5 μm.

Movie S2.

Download video file (991.7KB, mp4)

Aligned MT sliding of anti-parallel (left) and parallel (right) MT cross-links of GX-WT (S1), GX-MBD1mut (S2), or GX-MBD2mut (S3). Template MTs have magenta seeds and gray extensions, and cargo MTs have gray seeds and magenta extensions. Scale bar, 5 μm.

Movie S3.

Download video file (893.6KB, mp4)

Aligned MT sliding of anti-parallel (left) and parallel (right) MT cross-links of GX-WT (S1), GX-MBD1mut (S2), or GX-MBD2mut (S3). Template MTs have magenta seeds and gray extensions, and cargo MTs have gray seeds and magenta extensions. Scale bar, 5 μm.

If tail MT association inversely correlates with MT sliding (Braun et al., 2017), we might expect to see increased sliding velocity of MTs cross-linked with GX-MBD2mut, which has weaker tail binding to the MT. To investigate this idea, we measured the sliding velocity of aligned antiparallel and parallel MT sliding events mediated by GX-WT, GX-MBD1mut, or GX-MBD2mut (Figure 7A). For some cargo MTs, they either glided on the chamber surface before forming MT cross-links or slid off the MT cross-link and continued gliding (Figure 7A, GX-WT antiparallel sliding, 4′–10′). Because these gliding events had faster velocities (Supplemental Figure S4A), we were careful to measure the velocities of only the sliding events in the aligned MT cross-links. Of the aligned sliding MTs that GX-WT slid, 93% were antiparallel and had a mean velocity of 36 nm/s (Figure 7C), consistent with previous sliding velocities for GFP-XCTK2 at these concentrations (Hentrich and Surrey, 2010). GX-MBD1mut slid 76% of the sliding MTs antiparallel with a velocity similar to GX-WT, 33 nm/s. In contrast, GX-MBD2mut slid 56% of the sliding MTs antiparallel with a mean velocity of 60 nm/s that was ∼2-fold faster than GX-WT and GX-MBD1mut, p<0.0001 (Figure 7C). Despite GX-MBD2mut sliding parallel MTs to a greater extent (Figure 7B), the sliding velocity of parallel MT cross-links was similar between the proteins with an average velocity of 33 nm/s, indistinguishable from the antiparallel sliding velocities of GX-WT and GX-MBD1mut. These results provide evidence that tail MT affinity alone can modulate antiparallel MT sliding velocity (Braun et al., 2017).

Some cargo MTs in our assay slid at angles across the lattice or across the ends of template MTs, which were mostly the minus ends (Supplemental Figure S4B, top), or the cargo MT first slid at an angle to the template before becoming aligned (Supplemental Figure S4B, bottom). These angled sliding events appeared faster than the sliding events of aligned MTs. It has been proposed that decreasing the ability of the tail to diffuse within a MT cross-link increases sliding velocity, which can manifest when cross-linked MTs slide at angles to one another (Lüdecke et al., 2018). To investigate whether the different affinities of the MBDs impacted this mechanism, we measured the sliding velocity of MTs that slid at an angle to the template and those that were aligning to the template MTs (Supplemental Figure S4C; Supplemental Video S4). GX-WT slid cargo MTs at an angle with a mean velocity of 58 nm/s, 61% faster than its aligned antiparallel MT sliding of 36 nm/s, p<0.0001. GX-MBD1mut slid angled cargo MTs with a similar velocity to GX-WT with a mean velocity of 61 nm/s, which was 91% faster than its aligned antiparallel MT sliding of 32 nm/s, p<0.0001. In contrast, GX-MBD2mut slid cargo at an angle with a mean velocity of 78 nm/s that was 30% faster than its aligned antiparallel sliding of 60 nm/s, p<0.001, 35% faster than GX-WT angled sliding velocity, p<0.0001, and 28% faster than GX-MBD1mut angled MT sliding velocity of 61 nm/s, p<0.01. Consistent with the findings of Ncd angled MT sliding (Lüdecke et al., 2018), the sliding velocity of XCTK2 angled MT cross-links was faster than the sliding of aligned antiparallel sliding MTs. However, the reduced MT affinity of GX-MBD2mut increased the sliding velocity of angled MTs relative to GX-WT and GX-MBD1mut, suggesting that the affinity of the tail and diffusibility of the tail may modulate sliding velocity by different mechanisms. Together, our results suggest that the weaker MT affinity of MBD1 in the tail enables faster antiparallel MT sliding velocity (Figure 7D) and the stronger MBD2 controls the extent of static parallel MT cross-linking (Figure 7E) for balanced robust antiparallel MT sliding and tight parallel MT cross-links that contribute to efficient spindle assembly and morphogenesis.

Movie S4.

Download video file (3.3MB, mp4)

Representative angled MT sliding events by GX-WT: angled (left) and aligning (right). Template MTs have magenta seeds and gray extensions, and cargo MTs have gray seeds and magenta extensions. Scale bar, 5 μm.

DISCUSSION

The bipolar spindle is essential for accurate chromosome segregation, and molecular motors cross-link and slide MTs to sort and organize them into the classic fusiform shape of the spindle. K-14s are minus-end–directed motors that cross-link and slide both antiparallel and parallel MTs, but the mechanisms by which they cross-link and slide MTs in both orientations and how these activities contribute to spindle assembly are not clear. We show that the tail domain of Xenopus K-14, XCTK2, contains two MBDs with different MT affinities that regulate antiparallel MT sliding velocity and the degree of parallel MT cross-linking, which contributes to proper spindle morphogenesis. These findings provide a mechanism for how K-14s balance different MT cross-linking and sliding activities and provide a framework for understanding how molecular motors regulate spindle assembly.

K-14s contain two MBDs that differentially regulate antiparallel MT sliding velocity and parallel MT cross-linking

It is well-established that kinesin tails are important for cargo binding and for the regulation of motor function (Yildiz, 2024). There are multiple mitotic kinesins that have an ATP-independent MBD in their tail domain (Liao et al., 1994; Fink et al., 2009; Weaver et al., 2011; Weinger et al., 2011), but few have been shown to have more than one independent MBD (Karabay and Walker, 1999; Shrestha et al., 2023). Previous work with Drosophila K-14 Ncd suggested that there are two regions in the tail that are involved in MT binding, which had different MT affinities (Karabay and Walker, 1999; Szczęsna and Kasprzak, 2016). In our study, we systematically identified two independent MBDs in the Xenopus XCTK2 tail, one within each half of the tail, and then used site-directed mutagenesis of K/R residues to disrupt MT binding of each MBD individually. Analogous to the Ncd tail (Szczęsna and Kasprzak, 2016), the XCTK2 WT full-length tail had tight MT affinity in the submicromolar range. However, the second MBD in XCTK2, MBD2, had a 4-fold higher MT affinity than MBD1, whereas the Ncd MBDs had opposite strengths in MT affinity in which the first MBD bound MTs 3-fold tighter than the second MT MBD(Szczęsna and Kasprzak, 2016). The differences in MT affinities is not likely due to the organization of the domains within the tail because the first MBD of Ncd also contains the NLS (Goshima and Vale, 2005), consistent with the XCTK2 tail (Ems-McClung et al., 2004). A potential caveat to comparing their MT affinities with ours is that in their studies the first MBD was mutated by site-directed mutagenesis, whereas the second domain was deleted, which could impact overall protein structure (Szczęsna and Kasprzak, 2016). Our discovery that the XCTK2 tail also contains two MBDs of differing MT affinities suggests that this could be a conserved trait of the K-14 family. This concept is further supported by our unpublished work wherein the human HSET tail also contains two independent MBDs in each half of the tail, and like in Ncd, the N-tail appears to bind MTs more tightly (Cassity and Walczak, unpublished observation). The presence of two MBDs in the HSET tail is substantiated by the observation that the HSET tail displays bimodal rupture forces from MTs in optical trap assays that differ by 3-fold (Reinemann et al., 2018), akin to the differences in MT affinities between the two MBDs in the XCTK2 and Ncd tails. Together these studies favor the idea that K-14 tails, at least in the animal kingdom, contain two MBDs of differing MT affinities, and raises the question of how these domains are used to regulate MT cross-linking and sliding.

Multiple studies suggest that the ability of the K-14 tail to diffuse within a MT cross-link regulates its ability to slide antiparallel MTs, but two different mechanisms are proposed to govern MT sliding. HSET and XCTK2 enrich within the overlap regions of antiparallel cross-linked MTs, and as the density of the motors was increased, sliding velocity decreased (Hentrich and Surrey, 2010; Braun et al., 2017). These decreases were attributed to K-14 crowding within the overlap that slowed diffusion from the combined MT binding of both the motor and tail domains. Modeling suggested that either reduced binding of the motor domain or increased unbinding of the tail domain would increase sliding, which they demonstrated by increasing the ionic strength of the buffer to reduce tail MT binding (Braun et al., 2017). Our previous work with XCTK2 in a higher ionic strength buffer showed that antiparallel MTs slid 41% faster than parallel MTs (Ems-McClung et al., 2020) compared with our current study in lower ionic strength buffer where they had similar sliding velocities. These results are consistent with the idea that reduced MT affinity of K-14s allows for faster MT sliding. Alternatively, it was suggested that reducing the ability of the Ncd tail to diffuse within a MT cross-link increases sliding velocity because Ncd slid antiparallel MTs 3-fold slower than MTs that slid at angles to one another, presumably as a result of restricting tail diffusion to a small region (Lüdecke et al., 2018). We also found that angled MT sliding velocity by GX-WT was about 2-fold faster than aligned antiparallel sliding MT velocity. However, our finding that the weaker GX-MBD2mut also slid these angled MTs faster than GX-WT and GX-MBD1mut indicates that the affinity of the tail is still a mechanism for regulating sliding velocity in angled MT sliding. One interpretation of the findings by Lüdecke (Lüdecke et al., 2018) could be that in the angled crossovers, there are fewer motors allowing for more diffusion rather than restricting diffusion, which would be consistent with the inverse correlation of sliding velocity and motor density observed by others (Hentrich and Surrey, 2010; Braun et al., 2017). Our findings that there are two K-14 tail MBDs with different MT affinities that can independently regulate sliding may help reconcile these results.

Although several studies have addressed how K-14s slide antiparallel MTs, much less is known about how K-14s statically cross-link parallel MTs. An attractive model for the function of the two K-14 MBDs was that each MBD acted in one type of MT cross-link, antiparallel or parallel. However, our finding that both tail MBDs cross-link both MT orientations to similar proportions goes against this idea. We did find that the weaker MT affinity of MBD1 resulted in more parallel MT sliding, and the tighter MBD2 had more static parallel cross-linking, but there was no difference in parallel MT sliding velocities. Consistent with our current results with the weaker GX-MBD2mut, our previous MT sliding assays with XCTK2 in higher ionic strength buffer resulted in similar numbers of sliding and statically cross-linked parallel MTs (Ems-McClung et al., 2020). These results suggest that the affinity of the tail may play a role in the extent of parallel MT sliding but not the velocity of sliding, implying that modulation of antiparallel and parallel sliding velocities may have different mechanisms. Additional work will need to be done to reconcile the differences between these various studies. For example, how does changing the affinity of a single MBD affect the proportion and velocity of MTs that slide within MT cross-links, and how are those changes correlated with the ability of the tail to diffuse and with the density of the motors within the cross-links? In addition, can both MBDs engage with the MT at one time, or is there only a single MBD engaged during active MT sliding?

K-14 tail–mediated MT cross-linking and sliding differentially contributes to spindle localization and morphogenesis

K-14s are important for spindle assembly, for spindle length control, and for focusing MTs at poles, all activities that likely require MT cross-linking and sliding. The amount of K-14s on the spindle also appears to be an important factor as over addition of XCTK2 to egg extracts stimulates spindle assembly (Walczak et al., 1997) as does mild overexpression of HSET in oocytes (Bennabi et al., 2018); however, high HSET overexpression in oocytes causes spindle collapse (Bennabi et al., 2018). In addition, increasing the levels of RanGTP in the spindle results in an increase in the localization of endogenous XCTK2 to the spindle (Ems-McClung et al., 2020), suggesting that localization is tightly regulated. How the amount of K-14s on the spindle and the differential MT cross-linking and sliding of XCTK2 contribute to spindle assembly and morphogenesis is unclear. Our findings suggest that tight parallel MT cross-linking is important for efficient spindle assembly because GX-WT and GX-MBD1mut over addition stimulated spindle formation, whereas GX-MBD2mut did not stimulate spindle assembly to the same extent. However, a caveat to these findings is that GX-MBD2mut did not localize well to spindles. One possibility for the reduced localization of GX-MBD2mut is that it has reduced MT binding in MgADP+Pi compared with GX-WT and GX-MBD1mut, indicating that the tighter MBD2 MT binding may be important for the maintenance of XCTK2 on the spindle during its ATPase cycle. It is also possible that different mechanisms or interacting partners of the tail domains control the turnover of XCTK2 within the spindle, resulting in differential localization. For example, we observed previously that inhibiting importin binding by mutations in the NLS of XCTK2 increased its turnover in the spindle, and that the turnover of XCTK2 was differentially regulated in the spindle midzone and at the poles (Weaver et al., 2015), implying that interaction with the importins spatially regulates XCTK2 MT association. Consistent with this idea, our line scan analysis suggests that both MBDs are needed for robust association of GX-WT on the spindle as GX-MBD1mut and GX-MBD2mut had overall reduced levels of spindle association, although the reduction in GX-MBD1mut localization did not significantly hinder its ability to stimulate spindle assembly. These results suggest that it will be important to understand not only how the differential MT affinities of the K-14 tail domains impact their dynamic localization on the spindle, but also how they contribute to efficient spindle assembly.

MT organization in spindles from different organisms as well as between meiosis and mitosis can vary, which suggests that the types of MT cross-linking and sliding activities may not be fully conserved. For example, the long spindle phenotype from overexpression of K-14s in mammalian mitotic cells (Matuliene et al., 1999; Cai et al., 2009) might mean that MBD1 in mammalian cells has slower antiparallel sliding due to higher MT affinity, or that there is a switch in the strength of the MBD affinities, as seen with the Ncd tail (Szczęsna and Kasprzak, 2016). In support of this idea, over addition of WT HSET to Xenopus egg extracts increased spindle length relative to control whereas over addition of a similar amount of WT XCTK2 did not (Cai et al., 2009), suggesting that an intrinsic feature of HSET was important for the increase in spindle length. Alternatively, the observed differences in effects of K-14s on spindle length in mitotic cells could be a consequence of the differences in MT organization in Xenopus spindles, which are meiotic in origin. Meiotic spindle assembly in Xenopus is driven by chromatin-mediated MT nucleation, which results in a dense array of MTs in the center of the spindle attached to two polar arrays on either side (Yang et al., 2008; Houghtaling et al., 2009) versus human mitotic spindles that have more MTs emanated from the centrosome with less antiparallel overlap in the midzone (Nixon et al., 2017; O'Toole et al., 2020). Consistent with this idea, our line scan analysis of GX-WT addition indicates an increase in MT polymer in the middle of the spindle, suggesting either increased nucleation or stabilization of MTs in this region. It is also possible that both the tail MBD affinities and cell type contribute to these various phenotypes. Our work highlights the need for future experiments to better understand how the K-14 MBDs assist in spindle assembly in different systems, with a focus on how they contribute to the dynamics of spindle MT organization.

In addition to the ability of the K-14 MBDs to impact the efficiency of spindle assembly, they also contributed to spindle morphology. The addition of either GX-WT or GX-MBD1mut to Xenopus spindle assembly assays resulted in spindles with narrow widths, which correlates with their better ability to statically cross-link parallel MTs. Overexpression of mammalian K-14s in cells also results in narrow spindles (Matuliene et al., 1999; Cai et al., 2009). GX-MBD2mut, which did not statically cross-link parallel MTs as well as GX-WT and GX-MBD1mut, had shorter spindles, which may mean that the faster antiparallel sliding of GX-MBD2mut could antagonize the outward forces of Kinesin-5 and/or Kinesin-12–mediated antiparallel sliding. This antagonistic relationship has been well-described in the literature for spindles in multiple systems (Saunders et al., 1997; Mountain et al., 1999; Sharp et al., 2000; Yukawa et al., 2018), as well as in vitro reconstitutions (Peterman and Scholey, 2009; Hentrich and Surrey, 2010; Reinemann et al., 2018). It is interesting that the shortened spindle morphology that occurs in the presence of excess GX-MBD2mut is contrary to the long spindle morphology we observed when a vast excess of a partial MBD1 mutant (NLSb) was added to Xenopus spindle assembly reactions (Cai et al., 2009). In that study, we proposed that the addition of excess NLSb mutant lengthened spindles because of increased parallel sliding, but our current findings suggest a more complicated scenario. Because the NLSb mutation reduces the MT affinity and capacity of MBD1, this may mean that in the full-length protein, NLSb also inhibited or reduced MBD1 sliding activities like GX-MBD1mut in addition to retaining high static parallel MT cross-linking. The absence or reduction of the faster inward MBD1-mediated antiparallel sliding in the midzone due to the NLSb mutation could allow for more outward parallel sliding that could lengthen the spindle. However, this long spindle phenotype is only seen with a vast excess of the NLSb mutant, suggesting that it may be a gain of function phenotype. Perhaps the increased static parallel MT cross-linking with high levels of NLSb results in the elongation of the tiled MTs in Xenopus spindles (Yang et al., 2007), which would be consistent with the extremely thin and wispy appearance of the MTs in those spindles (Cai et al., 2009). Together, our data suggest that the parallel cross-linking activity of MBD2 balances the more robust MBD1-mediated antiparallel sliding needed for spindle length control.

Mechanisms that regulate K-14–mediated MT cross-linking and sliding

K-14s interact with various proteins through their N-terminal tail domain, like CEP215 (Chavali et al., 2016) and NuMA (Cutillas and Johnston, 2021), which may govern pole focusing. K-14 tails also interact with the plus-tip binding protein, EB1 (Braun et al., 2013), which is proposed to regulate MT plus-end dynamics by removing EB1 from the plus tips, resulting in increased catastrophes (Ogren et al., 2022). Alternatively, it has been suggested that EB1 may provide a hand hold for K-14s to bind to growing MT plus ends where it helps align newly nucleated MTs into parallel arrays (Molodtsov et al., 2016), which are needed for kinetochore clustering and biorientation in yeast (Kornakov et al., 2020). Interestingly, robust EB1-mediated Ncd plus-tip tracking required at least one tail MBD, suggesting the need for K-14 tails to make a MT contact when complexed with EB1 (Szczęsna and Kasprzak, 2016). How the MBDs contribute to EB1-mediated tip tracking in other K-14s and how these interactions are differentially regulated is unknown.

One master regulator in the spindle is the RanGTP gradient, which has high RanGTP around the chromatin that diminishes toward the spindle poles (Kaláb et al., 1999; Wilde and Zheng, 1999; Kaláb et al., 2002; Kaláb et al., 2006). The Ran effectors, importin α/β, bind to spindle assembly factors containing an NLS, which can result in a spatial effector gradient response in the spindle (Ems-McClung et al., 2020). The gradient itself is important in modulating K-14 MT association such that turnover at the chromatin is slower than at the poles (Weaver et al., 2015). Our current finding that the tail contains two MBDs with one containing an NLS supports the idea that these domains may be differentially regulated by the RanGTP gradient. One possibility is that the importins inhibit MBD1 from binding MTs near the poles, an idea consistent with our previous findings using fluorescence lifetime imaging microscopy (FLIM) showing that the importins interact with XCTK2 through the NLS within the spindle near the poles (Ems-McClung et al., 2020) and with our data showing that the turnover of GFP-XCTK2 is faster near the poles than near the spindle equator (Weaver et al., 2015). In this model MBD2, whose MT binding is stronger and is not directly regulated by the importins, could readily bind to the parallel MTs to focus and stabilize them. Thus, K-14s having two independent MBDs with different binding affinities may allow the RanGTP gradient to spatially control K-14 function. In addition to regulation by Ran, phosphorylation of K-14 tails may provide additional control. Kar3-Cik1 is phosphorylated by Cdk1, which inhibits EB1 interaction (Molodtsov et al., 2016), and phosphorylation at S26 in the HSET EB1 binding site by ATM and ATR kinases promotes centrosome clustering in cancer cells (Fan et al., 2021). Ncd is proposed to be regulated by Aurora B phosphorylation at S96, which is in the NLS of the MBD, and this phosphorylation promotes tail–MT interaction near the chromatin (Beaven et al., 2017). Mutation of the NLS in XCTK2 reduced the ability of Aurora B to phosphorylate XCTK2 in vitro (Zhang and Walczak, unpublished observation), suggesting that Aurora B phosphorylation may regulate XCTK2 activity as well. Together these studies raise the question about the regulatory mechanisms that direct the spatial and temporal control of K-14 association with its binding partners, which in turn governs spindle morphogenesis.

How is the tail domain structured to mediate interactions with multiple binding partners?

Understanding how the small tail domain of K-14s (12–20 kDa depending on the organism) mediates interactions with multiple binding partners is perplexing. Structural predictions using AlphaFold (Abramson et al., 2024) indicate that K-14 tails are highly disordered. This may be advantageous to allow these regions to adopt multiple conformations depending on the binding partner and/or to have the flexibility to bind MTs simultaneously with other binding partners in temporally and spatially regulated modes. Our previous FLIM results show that the importins bind XCTK2 near the poles (Ems-McClung et al., 2020), which could be mediated through the motor domain only or could be by MBD2 binding to MTs when MBD1 is bound to importins. Our current MT binding assays show that the importins fully inhibit the binding of the YPet-Tail N proteins, which only contain MBD1, but that the importins only partially inhibit binding of the full YPet-Tail, which contains both MBD1 and MBD2. These results support the idea that MBD2 might bind MTs while MBD1 is bound to importins. Consistent with this idea, structural modeling with ColabFold predicts that when MBD1 is bound to importin α/β the rest of the tail is sufficiently disordered that MBD2 would be available to bind MTs. However, in our MT pelleting assays, we do not find stoichiometric cosedimentation of the importins with YPet-Tail, which would suggest that the YPet-Tail bound to MTs does not have importins bound. This result supports another idea that although the importins inhibit MBD1 from binding MTs, they cannot simultaneously be bound to MBD1 when MBD2 is bound to MTs. If this model is correct, then our FLIM results would suggest that the importin bound XCTK2 is bound to MTs through the motor domain. Given that GX-MBD1mut, which cannot interact with MTs through MBD1, enriches at the poles in our spindle assembly assays like GX-WT, indicates that a population of XCTK2 bound to MTs through MBD2 exists in addition to XCTK2 bound to importins.

Modeling also predicts that each MBD interacts with either α- or β-tubulin, which is consistent with our affinity assays that show each MBD has saturable binding with tubulin monomer. Further support for this idea comes from the studies showing that MT binding of the HSET tail (Reinemann et al., 2018) and the Ncd tail (Karabay and Walker, 2003) were differentially sensitive to the removal of either the α-tubulin or both the α- and β-tubulin C-terminal tails, implying that there may be one MT binding site on the lattice and one site involving the C-terminal tails of tubulin. However, these binding interactions may be more complex as an early cryoEM study found that the Ncd tail made contacts with four sites on tubulin dimer, two on each monomer (Wendt et al., 2003). In the future, it will be critical to identify these MT interaction sites at the higher resolution offered by the explosion in EM technology (Nogales and Scheres, 2015; Nogales and Mahamid, 2024), which will provide additional insights into how the differential interaction with the MT governs the ability of K-14s to cross-link and slide both parallel and antiparallel MTs in the spindle. When combined with studies of how these different MBDs regulate the spatial organization of MTs in the spindle, we will gain new insights into how regulated interactions in the spindle direct proper spindle morphogenesis and function.

MATERIALS AND METHODS

Request a protocol through Bio-protocol

Cloning and mutagenesis

To generate the N-terminal deletion series of the XCTK2 tail domain fused to YPet, cDNAs were amplified by PCR from pRSETA-YPet-XCTK2-Tail (amino acids 2–120) (Ems-McClung et al., 2020) or pRSETA-YPet-24GNM that contains the tail and stalk domains (nonmotor domain, NM) (amino acids 2–289) as shown in Table 1 using the primers listed in Table 2. pRSETA-YPet-24GNM, was generated by amplifying YPet from pRSETA-Rango-2 (Kaláb et al., 2002; Kaláb and Soderholm, 2010) using the GFPBamHIF1 and GFPSacIR3 primers (Table 2) and replacing mCitrine in pRSETA-mCitrine-24GNM using BamHI/SacI restriction enzymes (Table 1). Plasmid pRSETA-mCitrine-24GNM was generated by subcloning the cDNA encoding the nonmotor domain of XCTK2 (amino acids 2–289) from pFastBac1-GFPXCTK2 (Cai et al., 2009) into pRSETA-mCitrine (Ems-McClung et al., 2013) using the 5′SacI24G and XCTK2-NM-KpnI-R primers (Table 2). For the C-terminal tail domain deletion series tagged with either YPet or CyPet, cDNA was amplified from pRSETB-24GNM, pRSETA-YPet-24GNM, or pRSETA-YPet-XCTK2-Tail and cloned according to Table 1 using the primers shown in Table 2. The cloning vector for the CyPet tagged Tail C2, CyPet-Tail C2, plasmid pRSETA-CyPet, was generated by amplifying the DNA encoding CyPet from pRSETA-Rango-2 with the GFPBamHIF1 and GFPSacIR5 primers (Table 2), digesting with BamHI/SacI, and cloning into pRSETA. All clones were verified by sequencing.

TABLE 1:

Expression plasmids used in this study.

Expression plasmid Template or insert Forward primer Reverse primer Parent plasmid
pRSETA-YPet-24GNM pRSETA-Rango-2 GFPBamHIF1 GFPSacIR3 pRSETA-mCitrine-24GNM
pRSETA-YPet-XCTK2-Tail pRSETA-YPet-24GNM T7 Forward XCTK2-A120-stop-HindIIIR pRSETB-5′YPet
pRSETA-YPet-Tail N1 pRSETA-YPet-24GNM T7 Forward XCTK2-S53-stop-HindIIIR pRSETB-5′YPet
pRSETA-YPet-Tail N2 pRSETA-YPet-XCTK2-Tail 5′SacI24G XCTK2-A61-stop-HindIIIR pRSETA-YPet-24GNM
pRSETA-YPet-Tail N3 pRSETA-YPet-XCTK2-Tail 5′SacI24G XCTK2-A79-stop-HindIIIR pRSETA-YPet-24GNM
pRSETB-YPet-Tail C1 pRSETA-YPet-24GNM XCTK2-I54-SacIF XCTK2-A120-stop-HindIIIR pRSETB-5′YPet
pRSETB-YPet-Tail C2 pRSETA-YPet-XCTK2-Tail XCTK2-A62-SacIF XCTK2-A120-stop-HindIIIR pRSETB-5′YPet
pRSETB-YPet-Tail C3 pRSETA-YPet-XCTK2-Tail XCTK2-V80-SacIF XCTK2-A120-stop-HindIIIR pRSETB-5′YPet
pRSETA-CyPet-Tail C2 pRSETA-YPet-XCTK2-Tail XCTK2-A62-SacIF XCTK2-A120-stop-HindIIIR pRSETA-5′CyPet
pRSETA-YPet-Tail N3-NLSb pRSETA-YPet-XCTK2-Tail-NLSb 5′SacI24G XCTK2-A79-stop-HindIIIR pRSETA-YPet-24GNM
pRSETA-YPet-Tail N3-MBD1mut pRSETB-24GNM-NLSab/MBD1mut 5′SacI24G XCTK2-A79-stop-HindIIIR pRSETA-YPet-24GNM
pRSETA-5′CyPet pRSETA-Rango-2 GFPBamHIF1 GFPSacIR5 pRSETA
pRSETA-CyPet-Tail C2-NLS3 pRSETB-24GNM-NLS3 XCTK2-A62-SacIF XCTK2-A120-stop-HindIIIR pRSETA-5′CyPet
pRSETA-CyPet-Tail C2-NLS3-Mut3 pRSETA-CyPet-Tail C2-NLS3 XCTK2Mut3F XCTK2Mut3R SDM
pRSETA-CyPet-Tail C2-MBD2mut (NLS3-Mut3-Mut2) pRSETA-CyPet-Tail C2-NLS3-Mut3 XCTK2Mut2F XCTK2Mut2R SDM
pRSETA-YPet-Tail-MBD1mut pRSETB-24GNM-NLSab/MBD1mut 5′SacI24G XCTK2-A120-stop-HindIIIR pRSETB-5′YPet
pRSETA-YPet-Tail-NLS3 pRSETB-24GNM-NLS3 5′SacI24G XCTK2-A120- NLS3-stop- HindIIIR pRSETB-5′YPet
pRSETA-YPet-Tail-MBD2mut pRSETA-YPet-Tail-NLS3 XCTK2Mut2F, XCTK2Mut3F XCTK2Mut2R, XCTK2Mut3R Sequential SDM
pRSETA-YPet-Tail-MBD1mut-NLS3 pRSETB-CyPet-Tail C2-NLS3 RD: SalI/HindIII pRSETA-YPet-Tail-MBD1mut
pRSETA-YPet-Tail-MBD1-2mut pRSETA-YPet-Tail-MBD1mut-NLS3 XCTK2Mut2F, XCTK2Mut3F XCTK2Mut2R, XCTK2Mut3R Sequential SDM
pFastBac1-GFP-XCTK2 pFB-GFP-XCTK2
pFBGFP-XCTK2-MBD1mut pGEX1*-24GNM-NLSab 5′SacI24G pGEX3’ pFBGFP-XCTK2
pFBGFP-XCTK2-MBD2mut pRSETB-24GNM-MBD2mut RD: SalI/SpeI pFBGFP-XCTK2
pFBGFP-XCTK2-MBD1-2mut pRSETB-24GNM-MBD2mut RD: SalI/SpeI pFBGFP-XCTK2-MBD1mut
pFastBac1-6His-GFP p6HisGFP 5′6HGFP GFPSacIR2 pFastBac1-GFP
pFB6HGFP-XCTK2-MBD2mut pFBGFP-XCTK2-MBD2mut RD: SacI/KpnI pFB6HGFP
pFB6HGFP-XCTK2-MBD1-2mut pRSETB-24GNM-MBD2mut RD: SalI/SpeI pFBGFP-XCTK2-MBD1mut

Abbreviations: SDM, site-directed mutagenesis; RD, restriction digest.

TABLE 2:

Cloning and mutagenesis primers used to generate expression plasmids.

Primer name 5′ – 3′ Sequence
GFPBamHIF1 CGCGCGGGATCCATGGTGAGCAAGGGCGAGGAG
GFPSacIR3 CTAGTCGAGCTCGCTTGTACAGTTCGTCCATGCC
T7 Forward AATACGACTCACTATAG
5′SacI24G AATGAGCTCCGGACTCCACAG
XCTK2-A120-stop-HindIIIR CCCAAGCTTATGCAGCACGCTTCTTC
XCTK2-S53-stop-HindIIIR CCCAAGCTTAGCTAGCTGCTACGCG
XCTK2-A61-stop-HindIIIR CCCAAGCTTATGCACGGGGTTTAGAGGTAGC
XCTK2-A79-stop-HindIIIR CCCAAGCTTATGCCAATGACTGTCGACCTATCACC
XCTK2-I54-SacIF CGAGCTCGATTGCTACCTCTAAACCC
XCTK2-A62-SacIF CGAGCTCGGCTCCTGTTGCTG
XCTK2-V80-SacIF CGAGCTCGGTAATGCGTCCAAAG
XCTK2-A120-NLS3-stop-HindIIIR CCCAAGCTTAAGCAGCAGCCGCCGC
5′6HGFP CGGGATCCATGCGGGGTTCTC
GFPSacIR2 CTAGTCGAGCTCGAGATCTGAGTCCGGACTTGTACAGCTCGTCCATGCCGAGAGTGATCC
XCTK2-NM-KpnI-R GGGGTACCCTACTGCACCAA
GFPSacIR5 TAGTCGAGCTCTTGTACAGTTCGTCC
p24GMR1 GGGGTACCTATTTCCTGTTGGCTCTTGCTG
XCTK2Mut2F TCAACATCATTTTCTGGcgcGACTgcGGTGTCCTCATCAGTTAC
XCTK2Mut2R GTAACTGATGAGGACACCgcAGTCgcgCCAGAAAATGATGTTGA
XCTK2Mut3F CAGTCATTGGCAGTAATGgcTCCAgcGAACAGTGGTCCAGGGATC
XCTK2Mut3R GATCCCTGGACCACTGTTCgcTGGAgcCATTACTGCCAATGACTG

NOTE: Bold bases indicate restriction sites, and lowercase bases indicate mutated bases.

The cDNAs of the XCTK2 tail containing the NLS mutations that disrupt MBD1 (NLSab/MBD1mut) were amplified by PCR from pRSETB-24GNM-NLSab/MBD1mut (Ems-McClung et al., 2004) and cloned into pRSETA-YPet-24GNM according to the conditions in Tables 1 and 2 to generate YPet-Tail N3-NLSb and YPet-Tail N3-MBD1mut constructs. The mutations that disrupt MBD2 (NLS3, Mut2, and/or Mut3) were generated by first creating pRSETA-CyPet-Tail C2-NLS3 from pRSETB-24GNM-NLS3 (Ems-McClung et al., 2004), and then sequentially mutating pRSETA-CyPet-Tail C2-NLS3 (Table 1) using the QuikChange system with the XCTK2Mut2F/R and XCTK2Mut3F/R mutagenesis primers (Table 2). To create the full-length pRSETA-YPet-Tail with the MBD1 mut, the corresponding cDNA was amplified from pRSETB-24GNM-NLSab/MBD1mut and cloned as described above for pRSETA-YPet-Tail using the conditions in Tables 1 and 2. The pRSETA-YPet-Tail-MBD2mut expression plasmid was created by sequential site-directed mutagenesis on pRSETA-YPet-Tail-NLS3 using conditions in Tables 1 and 2. The MBD double mutant tail expression plasmid, pRSETA-YPet-Tail-MBD1-2mut, was generated by subcloning the NLS3 mutation in pRSETB-CyPet-Tail C2-NLS3 into pRSETA-YPet-Tail-MBD1mut with subsequent sequential site-directed mutagenesis as described in Tables 1 and 2. All clones were verified by sequencing.

For baculovirus production, full-length XCTK2 constructs containing the MBD1mut, MBD2mut, or MBD1-2mut mutations were generated by subcloning the corresponding cDNA regions from either pGEX1*-24GNM-NLSab (Ems-McClung et al., 2004) or pRSETB-24GNM-MBD2mut into pFastBac1-GFP-XCTK2 (Cai et al., 2009) SacI/SpeI restriction sites to create pFBGFP-XCTK2-MBD1mut or pFBGFP-XCTK2-MBD2mut or by subcloning from pRSETB-24GNM-MBD2mut into pFBGFP-XCTK2-MBD1mut SalI/SpeI to create pFBGFP-XCTK2-MBD1-2mut using the conditions in Tables 1 and 2. Plasmids for pFB6HGFP-XCTK2-MBD2mut and pFB6HGFP-XCTK2-MBD1-2mut were made by subcloning the cDNA of XCTK2 from pFBGFP-XCTK2-MBD2mut or pFBGFP-XCTK2-MBD1-2mut into the SacI/KpnI sites of pFastBac1-6His-GFP. The pFastBac1-6His-GFP vector was constructed by subcloning the 6His-GFP DNA sequence from p6HisGFP (Walczak et al., 2002) into the BamHI/SacI sites of pFastBac1-GFP (Hertzer et al., 2006). All clones were verified by sequencing.

Expression and purification of recombinant proteins

For bacterial expression of the YPet- or CyPet-tagged tail, N- and C-terminal tail deletion proteins, and corresponding mutants (Table 1), BL21(DE3)pLysS bacteria harboring the corresponding expression plasmids, were induced and purified using Ni-NTA agarose (Qiagen, #30210) as described previously for the purification of YPet-XCTK2-Tail (Ems-McClung et al., 2020). In brief, cells were grown in 1 L LB containing 50 µg/ml ampicillin, 34 µg/ml chloramphenicol, with or without 2 mM MgSO4 at 37°C and induced for the expression of recombinant proteins with 0.1 mM isopropyl β-D-1-thiogalactopyranoside at 22°C for 24 h. Cells were pelleted, snap-frozen in liquid nitrogen, and stored at −80°C. For protein purification, the cells were briefly thawed and lysed on ice in lysis buffer (50 mM phosphate buffer, pH 8.0, 300 mM NaCl, 10 mM imidazole, 0.1% Tween-20, 1 mM PMSF, 1 mM benzamidine, 1 µg/ml LPC [1 µg/ml leupeptin, 1 µg/ml pepstatin, 1 µg/ml chymostatin], 0.5 mg/ml lysozyme) by sonication using a Branson Sonifier 250 four to six times at 20% output. Following sonication, the NaCl concentration was increased to 500 mM and β-mercaptoethanol (β-ME) was added to a final concentration of 5 mM. The crude lysate was spun at 18,000 rpm for 20 min at 4°C in a Beckman JA25.5 rotor. The supernatant (cleared lysate) was added to Ni-NTA agarose equilibrated with Column Buffer (50 mM phosphate pH 8.0, 500 mM NaCl, 0.1% Tween-20, 10 mM imidazole) and incubated for 1 h at 4°C with rotation. The lysate–agarose mixture was centrifuged in a clinical centrifuge for 4 min at 1500 rpm to pellet the beads with bound protein. The beads were washed twice in 10 column volumes (CV) of column buffer containing 1 mM PMSF, 1 mM benzamidine, 1 µg/ml LPC, and 5 mM β-ME for 10 min with rotation at 4°C. A total of 10 CV of column wash buffer (50 mM phosphate buffer, pH 6.0, 500 mM NaCl, 5 mM β-ME, 0.1 mM PMSF, 1 µg/ml LPC) was added to the beads and loaded into a Bio-Rad poly-prep chromatography column (#7311550) and allowed to drain by gravity flow at 4°C. The bound protein was eluted with 10 CV of elution buffer (50 mM phosphate buffer, pH 7.2, 500 mM NaCl, 400 mM imidazole, 5 mM β-ME, 1 µg/ml LPC) at 4°C in 1 ml aliquots. Aliquots with the highest fluorescence were dialyzed into 1 L of XB250 dialysis buffer (10 mM HEPES, pH 7.2, 250 mM KCl, 50 mM sucrose, 0.1 mM EDTA, and 0.1 mM EGTA) at 4°C overnight followed by dialysis with an addition 1 L of XB250. The dialyzed protein was clarified at 14,000 rpm at 4°C for 15 min, snap-frozen in liquid nitrogen in single use aliquots, and stored at −80°C. The expression and purification of His6-GFP, His6-importin α-CyPet, importin α-His6, and S-His6-importin β were performed similarly with dialysis into XB dialysis buffer (10 mM HEPES, pH 7.2, 100 mM KCl, 25 mM NaCl, 50 mM sucrose, 0.1 mM EDTA, and 0.1 mM EGTA) (Ems-McClung et al., 2004; Ems-McClung et al., 2020).

For baculoviral expression of full-length GFP-tagged WT XCTK2 and the MBD mutants, baculovirus stocks were produced according to the Bac-to-Bac system (Gibco, #10359016) as described previously (Cai et al., 2009). Briefly, pFastBac1-GFP-XCTK2 WT and mutant plasmids were transposed into DH10Bac bacmid cells and screened by blue/white colony selection and PCR. Sf9 cells were cultured in SF-900 II SFM media (Invitrogen) + 0.5X antibiotic–antimycotic (Life Technologies, #15240062) at 27°C in shaking flasks. Sf9 cells were transfected with ∼1 µg bacmid DNA using CellFectin II Reagent (Invitrogen, #10362-100) according to the manufacturer's protocol. After 72 to 96 h when >90% of cells were transfected based on GFP fluorescence, the media containing virus were collected (Pass 0), centrifuged at 500 × g for 5 min, removed to a fresh tube, supplemented with 5% FBS, and stored at 4°C wrapped in aluminum foil. Pass I and II viral stocks were made by infecting ∼2×106 cell/ml with Pass 0 or I virus at a multiplicity of infection (MOI) of 0.1 for 72 h at 27°C with shaking. Media containing virus particles were harvested by pelleting the cells centrifuged at 500 × g for 5 min, filtering the media, supplementing with 5% FBS, and storing at 4°C wrapped in aluminum foil. For protein expression in Sf9 cells, 400 to 600 ml of ∼2×106 cell/ml were infected with Pass II virus at a MOI of 2 to 5 for 42 to 72 h. Cells were harvested by centrifuging at 1000 × g for 5 min at 4°C, the cell pellet was frozen in liquid nitrogen and stored at −80°C.

GFP-XCTK2 and GFP-XCTK2-MBD1mut proteins were purified as described previously (Walczak et al., 1997). Briefly, cells were lysed in 20 to 40 ml of BRB80 (80 mM PIPES pH 6.8, 1 mM MgCl2, 1 mM EGTA), 1 mM DTT, 250 mM KCl, 0.1 mM EDTA, 2 mM MgATP, 1 mM PMSF, 1 µg/ml LPC on ice with sonication. The clarified lysate was filtered through an AcroPak 20 0.8/0.2 µm filter with Supor Membrane (Pall Corporation, #12202) and applied onto a 1 ml HiTrap SP column (Cytiva, #17-1151-01) equilibrated in 100 mM KCl, FPLC buffer (20 mM PIPES pH 6.8, 1 mM MgCl2, 1 mM EGTA, 0.1 mM EDTA, 1 mM DTT, 10 µM MgATP, 0.1 µg/ml LPC) attached to an ÄKTA Pure and controlled by Unicorn software (Cytiva). Protein was eluted with a linear 100 mM to 1 M KCl gradient in 1 ml fractions. Fractions with the highest GFP intensity were pooled, filtered with a 0.2 µm filter, applied in 1 ml fractions to a 24 ml Superose 6 Increase 10/300 GL (Cytiva, #29-0915-96) column equilibrated in 30% FPLC buffer (FPLC buffer containing 300 mM KCl), and eluted in 0.5 ml fractions. The fractions with the highest GFP intensity were pooled, concentrated in an Amicon Ultra-0.5 Centrifugal Filter Concentrator with Ultracel 100 Regenerated Cellulose Membrane NMWL:100,000 (EMD Millipore, #UFC510024) if needed, solid sucrose added to 10%, flash-frozen in single use aliquots in liquid nitrogen, and stored at −80°C.

For purification of 6HisGFP-XCTK2-MBD2mut and 6HisGFP-XCTK2-MBD1-2mut proteins, Sf-9 cell pellets were lysed in 80 mM PIPES pH 6.8, 2 mM MgCl2, 300 mM KCl, 10 mM imidazole, 2 mM ATP, 5 mM β-ME, 1 mM PMSF, 1 µg/ml LPC and sonicated with a Branson Sonifier 250 two times for 20 s at 20% output. The lysate was clarified by centrifugation at 18,000 rpm in a JA25.5 rotor for 20 min. The clarified soluble lysate was incubated with Ni-NTA agarose equilibrated in the lysis buffer for 1 h at 4°C with rotation. The agarose beads were washed once in 10 CV lysis buffer and once in 10 CV wash buffer (20 mM PIPES pH 6.8, 1 mM MgCl2, 300 mM KCl, 10 mM imidazole, 10 µM ATP, 5 mM β-ME, 0.1 µg/ml LPC). Bound protein was eluted in 1 ml fractions with 10 ml elution buffer (20 mM PIPES pH6.8, 1 mM MgCl2, 300 mM KCl, 400 mM imidazole, 10 µM ATP, 5 mM β-ME, 0.1 µg/ml LPC). Fractions with the highest GFP intensity were pooled, and ∼2 ml of sample was buffer exchanged using a 5 ml 7K molecular weight cut off Zeba Spin Desalting Column (Thermo Fisher Scientific, #89891) equilibrated in 30% FPLC buffer according to the manufacturer's directions and then filtered with a 0.2-µm filter. The filtered Ni-NTA–purified protein was applied in 1 ml fractions to a 24 ml Superose 6 Increase 10/300 GL column equilibrated in 30% FPLC buffer and eluted in 0.5 ml fractions. The fractions with the highest GFP intensity were pooled, concentrated in an Amicon Ultra-0.5 Filter, solid sucrose added to 10%, flash-frozen in single use aliquots in liquid nitrogen, and stored at −80°C. All proteins were quantified with the Bradford assay followed by densitometry of the full-length proteins of SDS–PAGE gels stained with colloidal Coomassie Blue using BSA as a control. To assess the purity of the recombinant proteins, 0.5 ug of each protein was electrophoresed on a 10% SDS–PAGE gel and stained with InstantBlue Coomassie Protein Stain (ISB1L) (Abcam, #ab119211).

MT binding assays

MTs were polymerized from 10 µM cycled bovine tubulin in BRB80/DTT (BRB80, 1 mM DTT) with 0.5 mM guanylyl-(α,β)-methylene-diphosphonate (GMPCPP; Jena Bioscience, #NU-405L) and 20 µM paclitaxel at 37°C for 30 min to generate doubly stabilized MTs. MTs were sedimented at 45,000 rpm in a TLA100 rotor for 12 min at 35°C in a Beckman Optima MAX-TL centrifuge and resuspended in BRB10/DTT/paclitaxel (BRB10 [10 mM PIPES pH 6.8, 1 mM MgCl2, 1 mM EGTA], 1 mM DTT, 10 µM paclitaxel). MT concentration was determined by the A280 of tubulin dimer using 115,000 M−1cm−1 as the molar extinction coefficient.

Bulk MT binding assays were performed by mixing 5 µM MTs in BRB10/DTT/paclitaxel with 0.5 µM YPet-tagged XCTK2 tail proteins with or without 2 µM importin α-His6 and S-His6-importin β in 10 mM HEPES pH 7.7, 25 mM KCl, 50 mM sucrose, 0.1 mM EDTA, 0.1 mM EGTA, 0.2 µg/µl casein. Proteins were incubated for 15 min and sedimented at 45,000 rpm for 12 min at 22°C in a TLA100 rotor. The supernatant was removed, and the pellet resuspended in an equal volume of buffer. Equivalent volumes of the supernatants and pellets were electrophoresed on 10% SDS–PAGE gels and stained with colloidal Coomassie Blue. The fraction bound was determined by densitometry of the full-length proteins and then corrected for background pelleting of a no MT control and multiplied by 0.5 µM to convert to amount protein bound. The average protein bound was determined and plotted as the mean ± SD from at least three independent experiments. YPet-Tail, YPet-Tail-MBD1mut, and YPet-Tail-MBD2mut with and without importins were compared using a two-way ANOVA with Tukey's multiple comparisons test in GraphPad Prism. YPet-Tail and YPet-Tail-MBD1-2mut without importins were compared using a Student's t test in Prism. Significance was considered if the p value was less than 0.05.

Bulk MT binding assays in MgATP or MgADP+Pi were performed with 0.1 µM full-length GFP-XCTK2 or MBD mutants in the absence or presence of 0.4 µM importin α-His6 and S-His6-importin β and 1 µM MTs similar to those done with the YPet-Tail proteins except that the reaction buffer consisted of 20 mM PIPES pH 6.8, 75 mM KCl, 1 mM MgCl2, 1 mM EGTA, 0.1 mM EDTA, 0.5 µg/µl casein and either 2 mM MgATP or 2 mM MgADP + 20 mM Pi. The supernatant and resuspended pellet fractions were added to a Nunc 384-well plate (#262260), and the GFP fluorescence measured by exciting at 470 nm and reading the emission at 510 nm in a BioTek Synergy H1 monochromator-based plate reader (Ems-McClung and Walczak, 2020). The average protein bound was determined in Excel and plotted as the mean ± SD from at least three independent experiments and compared with a three-way ANOVA with Tukey's multiple comparisons test in Prism. Significance was considered if the p value was less than 0.05.

Apparent affinity assays

Importin α/β affinity assays using FRET (Ems-McClung and Walczak, 2020) were performed with 0.1 µM His6-importin α-CyPet/0.4 µM S-His6-importin β and 0 to 2 µM YPet-Tail, YPet-Tail N3, YPet-Tail C2, or YPet-Tail C3 in 10 mM HEPES pH 7.7, 25 mM KCl, 50 mM sucrose, 0.1 mM EDTA, 0.1 mM EGTA, 1 mM DTT, 0.2 µg/µl casein. Samples were excited at 405 nm and detected with a spectral emission scan from 440 to 600 nm using 5 nm steps in a Synergy H1 plate reader. Spectral emissions were corrected for YPet emission bleed through by subtracting a control reaction without importin α-CyPet/importin β at each YPet-Tail protein concentration. The YPet emission at 530 nm, the peak emission of YPet, was normalized to the CyPet emission at 460 nm to determine the FRET ratio. The FRET ratios were normalized to 100% fraction bound for a FRET ratio equal to 5, the maximum FRET observed with YPet-Tail and then adjusted to micromolar importin α-CyPet bound by multiplying by 0.1 µM. The amount of importin α-CyPet/importin β bound was fit with a quadratic equation for binding (Foster et al., 1998) and graphed as the mean ± SD from 4 to 7 independent experiments. Differences in apparent importin affinity compared with YPet-Tail were determined using the extra sum-of-squares F test for variance in Prism in which the Kd and Bmax were shared.

MT affinity assays were performed analogous to the bulk MT assay except that the reaction buffer contained 0.5 µg/µl casein, and the MT concentration in terms of tubulin dimer ranged from 0 to 10 µM. The fraction bound was determined by densitometry of the full-length tail proteins from colloidal Coomassie Blue stained gels and normalized in Prism between 0 and 1 to account for nonspecific pelleting of the proteins. The normalized fraction bound was converted to the amount of tail protein bound by multiplying by 0.5 µM, the concentration of tail protein in the reaction. The mean protein bound ± SD from at least three independent experiments was determined and graphed in Prism with the best fit curve. The WT YPet-Tail binding to MTs fit the stoichiometric binding curve (Bell et al., 2017) with a stoichiometry coefficient of 2.4, indicating the tail bound to two sites on tubulin dimer, which could correspond to one site on each tubulin monomer. The YPet-Tail MT binding was then fit to the quadratic equation for saturable binding (Foster et al., 1998) in terms of tubulin monomer, which fit well based on the replicates test for lack of fit and the graph of the residuals. For comparison of apparent MT affinities, all the tail proteins were plotted as a function of tubulin monomer in the main figures. Significance between apparent affinity curves was determined using the extra sum-of-squares F test for variance in Prism in which the Kd and Bmax were both shared.

Spindle assembly and immunofluorescence

CSF extracts were made from Xenopus laevis eggs (Murray, 1991) using cytochalasin B (cyto B, Sigma-Aldrich, #C6762) in place of cytochalasin D. CSF extract was supplemented with 1/1000 volume of 10 mg/ml LPC, 1/1000 volume of cyto B, 1/50 volume of 50x energy mix (375 mM creatine phosphate, 50 mM ATP, 5 mM EGTA, 50 mM MgCl2), 1/40 volume of 2 M sucrose, and 0.4 µM Biotium X-rhodamine (VWR, #90005)–labeled tubulin or 0.14 µM Pierce NHS-rhodamine (Thermo Fisher Scientific, #46406)–labeled tubulin. For CSF spindle assembly, sperm was added to 250 sperm/µl and 50 nM (monomer concentration) GFP, GFP-XCTK2 WT, or mutant proteins were added and incubated at room temperature (RT) for 60 min. Cycled spindles were assembled from CSF extracts supplemented with 500 sperm/µl and 10x calcium chloride solution (10 mM HEPES pH7.7, 1 mM MgCl2, 100 mM KCl, 150 mM sucrose, 10 µg/ml cyto B, and 4 mM CaCl2), and incubated at RT until the sperm nuclei entered interphase (∼80 min) followed by addition of an equal volume of CSF extract. 50 nM GFP, GFP-XCTK2, or mutant proteins (monomer) were added, and the extracts were incubated for 60 min for bipolar spindle assembly. For immunofluorescence, reactions were fixed in 2% formaldehyde, 2.5 mM MgCl2, 30% glycerol, 0.5% Triton X-100, BRB80, layered on top of a 40% glycerol/BRB80 cushion, and sedimented onto coverslips. Coverslips were postfixed in cold methanol for 5 min, rehydrated in TBS-Tx (10 mM Tris pH 7.6, 150 mM NaCl, 0.1% Triton X-100), and DNA stained with 10 µg/ml Höechst 33258 (Sigma-Aldrich, #14530) in TBS-Tx. Coverslips were mounted in prolong diamond antifade mountant (Life Technologies, #P36961), cured for ∼24 h, and sealed with nail polish.

Each coverslip was imaged as a 3×3 (CSF) or 10×10 (cycled) montage on a Nikon NiE microscope equipped with a Nikon 40X Plan Apo 1.0 NA objective, Hamamatsu ORCA-FLASH Monochrome 30FPS camera, and Lumencore Spectra III Light Engine light source controlled by Nikon NIS-Elements software. For spindles assembled by CSF assembly, GFP fluorescence was detected with the 475/28 nm bandpass filter at 1% power for 100 ms, MTs were detected with the 555/28 nm filter at 20% power for 500 ms (X-rhodamine tubulin), and DNA with the 390/22 nm filter at 15% power for 100 ms (Höechst). For the percentage of spindle assembly in CSF extracts, ∼100 structures (asters, half spindles, spindles) were counted per experiment from 5 to 6 independent experiments, plotted in Prism with the mean ± SD, and analyzed by an ordinary one-way ANOVA with Tukey's multiple comparisons test. For spindles assembled in cycled extracts, GFP fluorescence was detected at 20 or 31.9% power for 100 ms, MTs at 35% power for 300 ms (rhodamine tubulin), and DNA at 15% power for 100 ms (Höechst). Images were background-subtracted using a rolling ball algorithm set to 35.08 µm for the GFP and MT channels, and 8.03 µm for the DNA channel using NIS-Elements General Analysis 3 software. For the representative images, each channel was scaled the same using Fiji, and images were assembled in Adobe Illustrator. Cycled spindles that were isolated from other structures in the image and not overlapping the edge of the image were outlined using the NIS-Elements “Simple ROI Editor” and “Auto Detect” features and converted to binary objects. For each binary spindle object, the integrated MT intensity, integrated GFP intensity, max Feret diameter (length), min Feret diameter (width), and area were exported to Excel, plotted in Prism with the mean ± SD, and analyzed by a Kruskal–Wallis test with Dunn's multiple comparisons test.

To measure the distribution of MTs and the GFP-XCTK2 proteins across the spindles, line scans were performed on rolling ball background subtracted cycled spindles by manually drawing a 15-pixel width line from pole-to-pole and normalized to 101 bins across the length of the spindle using the XLineScan plugin for Fiji (Wilbur and Heald, 2013). The normalized MT integrated intensity, GFP integrated intensity, and ratio of GFP to MT integrated intensity were plotted as the mean ± SEM in Prism. To calculate the difference in protein distribution across the spindle between the proteins, the ratios of GFP to MT intensity were compared using a Mann–Whitney test, and the p values were plotted in Prism. Note that the significant p values in the body of the spindle between GX-WT and GX-MBD1mut were between p < 0.05 and p < 0.001, and for GX-WT versus GX-MBD2mut and GX-MBD1mut versus GX-MBD2mut the values all along the spindle were below p < 0.0001.

For Western analysis, extract was diluted 1:10 into 2X SB (125 mM Tris pH 6.8, 4% SDS, 20% glycerol (wt/vol), 4% β-ME, bromophenol blue), heated at 100°C for 5 min, and electrophoresed on a 10% SDS–PAGE gel. Protein was transferred to BioTrace NT nitrocellulose (Pall Corporation, #66485), probed with 0.5 µg/ml rabbit anti-XCTK2-NM (Walczak et al., 1997) for XCTK2 and 1:10,000 mouse DM1α (Sigma-Aldrich, #T9026) for tubulin followed by 1:5000 donkey anti-rabbit or 1:10,000 sheep anti-mouse horseradish peroxidase-linked whole secondary antibodies, developed with SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo Fisher Scientific, #34577), and visualized using a Bio-Rad ChemiDoc Imaging System. Digital images were assembled using Adobe Photoshop and Illustrator. For each Western (CSF or cycled), the GFP-XCTK2 (GX) and tubulin (Tub) loading control bands came from the same blot.

MT cross-linking assays

Polarity marked MTs were assembled from X-rhodamine– or HiLyte647 (Cytoskeleton, #TL670M-A)–labeled tubulin seed and elongation mixes, each containing 0.5 mM GMPCPP in BRB80/DTT. The mixes were clarified by centrifugation at 45,000 rpm for 7 min at 2°C in a TLA100 rotor, frozen in liquid nitrogen in single use aliquots, and stored at −80°C. Short MT seeds were polymerized at 1 to 2 µM tubulin in BRB80/DTT for 60 min. MT extensions were then polymerized from the freshly made seeds by diluting 1:10 into 0.5 or 2 µM elongation mix and incubated at 37°C for 60 min. The polarity marked MTs were sedimented at 45,000 rpm for 12 min at 35°C in a TLA100 rotor and resuspended in BRB80/1 mM DTT/10 µM paclitaxel. MT concentration was determined by A280 as described above for MTs. Template MTs were 8% X-rhodamine-tubulin– and 8% biotin-tubulin (Cytoskeleton, #T333P)–labeled seeds with 4% HiLyte647- and 46% biotin-labeled extensions. Cargo MTs were composed of 9% HiLyte647-labeled seeds with 13% X-rhodamine–labeled extensions.

To visualize MT sliding, flow chambers (∼10 µl volume) were assembled on a slide with double-stick tape using biotin-polyethylene glycol (Laysan Bio, #SVA-5000) coated 22×30 mm and 22×22 #1.5 coverslips (Ems-McClung et al., 2013; Ems-McClung et al., 2020). Chambers were rinsed consecutively with two volumes of BRB80/DTT and 5% Pluronic F-127 (Sigma, #P2443) in BRB80, and incubated for 3 min. The chamber was rinsed with two volumes of Block (20 mM PIPES pH6.8, 75 mM KCl, 1 mM MgCl2, 0.1 mM EDTA, 1 mM EGTA, 1 mM DTT, 1 mg/ml casein, 10 µM paclitaxel), and then rinsed and incubated with two volumes of 0.05 mg/ml NeutrAvidin (Life Technologies, #A-2666) diluted in Block for 3 min. After rinsing with block, 0.4 µM template MTs in block were introduced into the chamber and incubated for 3 min. The chamber was rinsed with two volumes of block and then 5 nM GFP-XCTK2 (GX-WT), 10 nM GX-MBD1mut, 10 nM GX-MBD2mut, or 10 nM GX-MBD1-2mut in block was introduced to the chamber, and incubated for 3 min. After rinsing with block, 0.2 µM cargo MTs were introduced to the chamber and incubated for 5 min. All incubations were done at RT with the slide upside down. Sliding was induced by rinsing the unbound cargo MTs from the chamber with two volumes of Block + 2 mM MgATP supplemented with oxygen scavenging mix (0.32 mg/ml glucose oxidase, 0.055 mg/ml catalase, 5 mM DTT, 25 mM glucose). Chambers were imaged on a Nikon NiE equipped with a Nikon 60x Plan Apo 1.4 NA objective, Hamamatsu ORCA-FLASH Monochrome 30FPS camera, and Lumencore Spectra III Light Engine light source controlled by Nikon NIS-Elements software. Timelapse imaging was performed at 30 s intervals for 10 min using a 3×3 grid. GFP-XCTK2 fluorescence was detected with the 475/28 nm bandpass filter at 1% power for 100 ms, and labeled segmented MTs were detected with the 555/28 nm filter at 15% power for 200 ms (X-rhodamine) and the 635/22 nm filter at 0.5% power for 100 ms (HiLyte647). The resulting nine movies from the 3×3 grid image were split and analyzed independently.

The first three movies from four independent experiments for each of the protein conditions were scored for the number of cargo MTs present during the 10 min imaging time, and the numbers plotted as the mean ± SD and compared by a one-way ANOVA with Tukey's multiple comparisons test in Prism. Because GX-WT cross-linked more MTs to the template MTs than GX-MBD1mut or GX-MBD2mut per movie, different numbers of movies were scored per condition to give 35 to 38 cross-linked MTs on average per condition per experiment. From these cross-linked MTs, the orientations of the MT cross-links were determined by switching between the X-rhodamine and HiLyte647 channels and comparing the brightnesses and lengths of the seeds and extensions under the assumption that plus ends had longer extensions than minus ends due to the differences in dynamic instability for plus and minus ends of MTs (Kristofferson et al., 1986). The percentage of aligned antiparallel and parallel MTs was determined, plotted as the mean ± SD, and compared by a two-way ANOVA with Tukey's multiple comparisons test in Prism. Cargo MTs were considered to slide if they slide for two or more frames (1 min), and cargo MTs were scored as static if they did not slide at all during the 10 min movie or did not slide after forming a MT cross-link. A single cargo MT could undergo multiple sliding events on different template MTs by sliding off one template onto another or by gliding in between template MTs, although this was infrequent. The percentage of aligned antiparallel or parallel MTs that slid or were statically cross-linked was determined, plotted as the mean ± SD, and compared by a two-way ANOVA with Tukey's multiple comparisons test in Prism. Velocities of aligned or angled sliding cargo events were measured using the Manual Tracking plugin in Fiji, exported to Excel where the average velocity was determined for each event, plotted in Prism as the mean ± SD, and compared with a two-way ANOVA with Tukey's multiple comparisons test. Antiparallel or parallel aligned sliding velocities were measured during the time frames when cargo MTs were aligned completely along the template axis. Gliding events were defined by cargo moving on the slide for two or more frames (1 min) independent of interactions with template MTs. Gliding event velocities were plotted with the aligned antiparallel sliding velocities in Prism as the mean ± SD and compared by a two-way ANOVA with Tukey's multiple comparisons test. Angled sliding cargo MTs either (1) slid across the ends of template MTs at an angle to the long axis of the template MT, which was most often the minus end, (2) slid at an angle across the lattice of the template MT, or (3) consisted of the time frame in which the cargo MT was at an angle to the template MT before becoming fully aligned. Angled sliding velocities were plotted as the mean ± SD and compared with the aligned antiparallel velocities by a two-way ANOVA with Tukey's multiple comparisons test in Prism. Representative images and movies were scaled the same in each channel. Movies were smoothed and annotated using Fiji and then converted from AVI to MP4 using Microsoft Clipchamp.

Supplementary Material

mbc-36-ar72-s001.pdf (5.3MB, pdf)

ACKNOWLEDGMENTS

This work was funded by NIH R35GM122482 (C.E.W.) and by an NSF Transitions to Excellence Award (MCB 2128166) to C.E.W. M.C. was supported by a Cox Research Scholar Award. We thank Stephanie Zheng for help with the deletion analysis and bulk MT binding assays, Sanjay Shrestha for help in the mutagenesis, cloning, and expression of the YPet- and CyPet-Tail deletion series, and Lesley Weaver for the generation of cloning plasmids for full-length GFP-XCTK2. We also thank Sanjay Shrestha and Molly Lusk for careful and critical editing of the article.

Abbreviations used:

GX

GFP-XCTK2

HSET

human SET protein homologue

K-14

Kinesin-14

MBD

microtubule-binding domain

MT

microtubule

Ncd

Drosophila non-claret disjunctional protein

NLS

nuclear localization signal

XCTK2

Xenopus carboxy-terminal kinesin 2.

Footnotes

This article was published online ahead of print in MBoC in Press (http://www.molbiolcell.org/cgi/doi/10.1091/mbc.E25-02-0083) on May 6, 2025.

REFERENCES

  1. Abramson J, Adler J, Dunger J, Evans R, Green T, Pritzel A, Ronneberger O, Willmore L, Ballard AJ, Bambrick J, et al. (2024). Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Beaven R, Bastos RN, Spanos C, Rome P, Cullen CF, Rappsilber J, Giet R, Goshima G, Ohkura H (2017). 14-3-3 regulation of Ncd reveals a new mechanism for targeting proteins to the spindle in oocytes. J Cell Biol 216, 3029–3039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bell KM, Cha HK, Sindelar CV, Cochran JC (2017). The yeast Kinesin-5 Cin8 interacts with the microtubule in a noncanonical manner. J Biol Chem 292, 14680–14694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bennabi I, Queguiner I, Kolano A, Boudier T, Mailly P, Verlhac MH, Terret ME (2018). Shifting meiotic to mitotic spindle assembly in oocytes disrupts chromosome alignment. EMBO Rep 19, 368–381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Braun M, Drummond DR, Cross RA, McAinsh AD (2009). The Kinesin-14 Klp2 organizes microtubules into parallel bundles by an ATP-dependent sorting mechanism. Nat Cell Biol 11, 724–730. [DOI] [PubMed] [Google Scholar]
  6. Braun M, Lansky Z, Bajer S, Fink G, Kasprzak AA, Diez S (2013). The human Kinesin-14 HSET tracks the tips of growing microtubules in vitro. Cytoskeleton 70, 515–521. [DOI] [PubMed] [Google Scholar]
  7. Braun M, Lansky Z, Szuba A, Schwarz FW, Mitra A, Gao M, Lüdecke A, Ten Wolde PR, Diez S (2017). Changes in microtubule overlap length regulate Kinesin-14–driven microtubule sliding. Nat Chem Biol 13, 1245–1252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cai S, Weaver LN, Ems-McClung SC, Walczak CE (2009). Kinesin-14 family proteins HSET/XCTK2 control spindle length by cross-linking and sliding microtubules. Mol Biol Cell 20, 1348–1359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Canty JT, Tan R, Kusakci E, Fernandes J, Yildiz A (2021). Structure and mechanics of dynein motors. Annu Rev Biophys 50, 549–574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Chandra R, Salmon ED, Erickson HP, Lockhart A, Endow SA (1993). Structural and functional domains of the Drosophila ncd microtubule motor protein. J Biol Chem 268, 9005–9013. [PubMed] [Google Scholar]
  11. Chavali PL, Chandrasekaran G, Barr AR, Tatrai P, Taylor C, Papachristou EK, Woods CG, Chavali S, Gergely F (2016). A CEP215-HSET complex links centrosomes with spindle poles and drives centrosome clustering in cancer. Nat Commun 7, 11005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Chen S, Stout JR, Dharmaiah S, Yde S, Calvi BR, Walczak CE (2016). Transient endoreplication down-regulates the Kinesin-14 HSET and contributes to genomic instability. Mol Biol Cell 27, 2911–2923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Cutillas V, Johnston CA (2021). Mud binds the Kinesin-14 Ncd in Drosophila. Biochem Biophys Rep 26, 101016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Duan D, Jia Z, Joshi M, Brunton J, Chan M, Drew D, Davis D, Allingham JS (2012). Neck rotation and neck mimic docking in the noncatalytic Kar3-associated protein Vik1. J Biol Chem 287, 40292–40301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Dujardin DL, Vallee RB (2002). Dynein at the cortex. Curr Opin Cell Biol 14, 44–49. [DOI] [PubMed] [Google Scholar]
  16. Ems-McClung SC, Emch M, Zhang S, Mahnoor S, Weaver LN, Walczak CE (2020). RanGTP induces an effector gradient of XCTK2 and importin α/β for spindle microtubule cross-linking. J Cell Biol 219, e201906045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Ems-McClung SC, Hainline SG, Devare J, Zong H, Cai S, Carnes SK, Shaw SL, Walczak CE (2013). Aurora B inhibits MCAK activity through a phosphoconformational switch that reduces microtubule association. Curr Biol 23, 2491–2499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Ems-McClung SC, Walczak CE (2020). In vitro FRET- and fluorescence-based assays to study protein conformation and protein– interactions in mitosis. Methods Mol Biol 2101, 93–122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Ems-McClung SC, Zheng Y, Walczak CE (2004). Importin α/β and Ran-GTP regulate XCTK2 microtubule binding through a bipartite nuclear localization signal. Mol Biol Cell 15, 46–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Endow SA, Chandra R, Komma DJ, Yamamoto AH, Salmon ED (1994). Mutants of the Drosophila ncd microtubule motor protein cause centrosomal and spindle pole defects in mitosis. J Cell Sci 107, 859–867. [DOI] [PubMed] [Google Scholar]
  21. Endow SA, Henikoff S, Soler-Niedziela L (1990). Mediation of meiotic and early mitotic chromosome segregation in Drosophila by a protein related to kinesin. Nature 345, 81–83. [DOI] [PubMed] [Google Scholar]
  22. Fan G, Sun L, Meng L, Hu C, Wang X, Shi Z, Hu C, Han Y, Yang Q, Cao L, et al. (2021). The ATM and ATR kinases regulate centrosome clustering and tumor recurrence by targeting KIFC1 phosphorylation. Nat Commun 12, 20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Fink G, Hajdo L, Skowronek KJ, Reuther C, Kasprzak AA, Diez S (2009). The mitotic Kinesin-14 Ncd drives directional microtubule– sliding. Nat Cell Biol 11, 717–723. [DOI] [PubMed] [Google Scholar]
  24. Foster KA, Correia JJ, Gilbert SP (1998). Equilibrium binding studies of non-claret disjunctional protein (Ncd) reveal cooperative interactions between the motor domains. J Biol Chem 273, 35307–35318. [DOI] [PubMed] [Google Scholar]
  25. Furuta K, Edamatsu M, Maeda Y, Toyoshima YY (2008). Diffusion and directed movement: In vitro motile properties of fission yeast Kinesin-14 Pkl1. J Biol Chem 283, 36465–36473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Furuta K, Toyoshima YY (2008). Minus-end–directed motor Ncd exhibits processive movement that is enhanced by microtubule bundling in vitro. Curr Biol 18, 152–157. [DOI] [PubMed] [Google Scholar]
  27. Ganem NJ, Godinho SA, Pellman D (2009). A mechanism linking extra centrosomes to chromosomal instability. Nature 460, 278–282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Gassmann R (2023). Dynein at the kinetochore. J Cell Sci 136, jcs220269. [DOI] [PubMed] [Google Scholar]
  29. Goshima G, Nedelec F, Vale RD (2005). Mechanisms for focusing mitotic spindle poles by minus-end–directed motor proteins. J Cell Biol 171, 229–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Goshima G, Vale RD (2005). Cell cycle–dependent dynamics and regulation of mitotic kinesins in Drosophila S2 cells. Mol Biol Cell 16, 3896–3907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Hatsumi M, Endow SA (1992). Mutants of the microtubule motor protein, nonclaret disjunctional, affect spindle structure and chromosome movement in meiosis and mitosis. J Cell Sci 101, 547–559. [DOI] [PubMed] [Google Scholar]
  32. Henkin G, Chew WX, Nedelec F, Surrey T (2022). Cross-linker design determines microtubule network organization by opposing motors. Proc Natl Acad Sci USA 119, e2206398119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Hentrich C, Surrey T (2010). Microtubule organization by the antagonistic mitotic motors Kinesin-5 and Kinesin-14. J Cell Biol 189, 465–480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Hepperla AJ, Willey PT, Coombes CE, Schuster BM, Gerami-Nejad M, McClellan M, Mukherjee S, Fox J, Winey M, Odde DJ, et al. (2014). Minus-end–directed Kinesin-14 motors align antiparallel microtubules to control metaphase spindle length. Dev Cell 31, 61–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Hertzer KM, Ems-McClung SC, Kline-Smith SL, Lipkin TG, Gilbert SP, Walczak CE (2006). Full-length dimeric MCAK is a more efficient microtubule depolymerase than minimal domain monomeric MCAK. Mol Biol Cell 17, 700–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Higgins DM, Nannas NJ, Dawe RK (2016). The maize divergent spindle-1 (dv1) gene encodes a Kinesin-14A motor protein required for meiotic spindle pole organization. Front Plant Sci 7, 1277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Houghtaling BR, Yang G, Matov A, Danuser G, Kapoor TM (2009). Op18 reveals the contribution of nonkinetochore microtubules to the dynamic organization of the vertebrate meiotic spindle. Proc Natl Acad Sci USA 106, 15338–15343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Kaláb P, Pralle A, Isacoff EY, Heald R, Weis K (2006). Analysis of a RanGTP-regulated gradient in mitotic somatic cells. Nature 440, 697–701. [DOI] [PubMed] [Google Scholar]
  39. Kaláb P, Pu RT, Dasso M (1999). The Ran GTPase regulates mitotic spindle assembly. Curr Biol 9, 481–484. [DOI] [PubMed] [Google Scholar]
  40. Kaláb P, Soderholm J (2010). The design of Förster (fluorescence) resonance energy transfer (FRET)-based molecular sensors for Ran GTPase. Methods 51, 220–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Kaláb P, Weis K, Heald R (2002). Visualization of a Ran-GTP gradient in interphase and mitotic Xenopus egg extracts. Science 295, 2452–2456. [DOI] [PubMed] [Google Scholar]
  42. Karabay A, Walker RA (1999). Identification of microtubule-binding sites in the Ncd tail domain. Biochemistry 38, 1838–1849. [DOI] [PubMed] [Google Scholar]
  43. Karabay A, Walker RA (2003). Identification of Ncd tail domain-binding sites on the tubulin dimer. Biochem Biophys Res Commun 305, 523–528. [DOI] [PubMed] [Google Scholar]
  44. Kornakov N, Mollers B, Westermann S (2020). The EB1–Kinesin-14 complex is required for efficient metaphase spindle assembly and kinetochore bi-orientation. J Cell Biol 219, e202003072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Kristofferson D, Mitchison T, Kirschner M (1986). Direct observation of steady-state microtubule dynamics. J Cell Biol 102, 1007–1019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Kwon M, Godinho SA, Chandhok NS, Ganem NJ, Azioune A, Thery M, Pellman D (2008). Mechanisms to suppress multipolar divisions in cancer cells with extra centrosomes. Genes Dev 22, 2189–2203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Liao H, Li G, Yen TJ (1994). Mitotic regulation of microtubule cross-linking activity of CENP-E kinetochore protein. Science 265, 394–398. [DOI] [PubMed] [Google Scholar]
  48. Lüdecke A, Seidel AM, Braun M, Lansky Z, Diez S (2018). Diffusive tail anchorage determines velocity and force produced by Kinesin-14 between crosslinked microtubules. Nat Commun 9, 2214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Matuliene J, Essner R, Ryu J, Hamaguchi Y, Baas PW, Haraguchi T, Hiraoka Y, Kuriyama R (1999). Function of a minus-end–directed kinesin-like motor protein in mammalian cells. J Cell Sci 112, 4041–4050. [DOI] [PubMed] [Google Scholar]
  50. McDonald HB, Goldstein LS (1990). Identification and characterization of a gene encoding a kinesin-like protein in Drosophila. Cell 61, 991–1000. [DOI] [PubMed] [Google Scholar]
  51. Molodtsov MI, Mieck C, Dobbelaere J, Dammermann A, Westermann S, Vaziri A (2016). A force-induced directional switch of a molecular motor enables parallel microtubule bundle formation. Cell 167, 539–552 e14. [DOI] [PubMed] [Google Scholar]
  52. Mountain V, Simerly C, Howard L, Ando A, Schatten G, Compton D (1999). The kinesin-related protein, HSET, opposes the activity of Eg5 and cross-links microtubules in the mammalian mitotic spindle. J Cell Biol 147, 351–365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Murray AW (1991). Cell cycle extracts. Methods Cell Biol 36, 581–605. [PubMed] [Google Scholar]
  54. Nixon FM, Honnor TR, Clarke NI, Starling GP, Beckett AJ, Johansen AM, Brettschneider JA, Prior IA, Royle SJ (2017). Microtubule organization within mitotic spindles revealed by serial block face scanning electron microscopy and image analysis. J Cell Sci 130, 1845–1855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Nogales E, Mahamid J (2024). Bridging structural and cell biology with cryo-electron microscopy. Nature 628, 47–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Nogales E, Scheres SH (2015). Cryo-EM: A unique tool for the visualization of macromolecular complexity. Mol Cell 58, 677–689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. O'Toole E, Morphew M, McIntosh JR (2020). Electron tomography reveals aspects of spindle structure important for mechanical stability at metaphase. Mol Biol Cell 31, 184–195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Ogren A, Parmar S, Mukherjee S, Gonzalez SJ, Plooster M, McClellan M, Mannava AG, Davidson E, Davis TN, Gardner MK (2022). Kinesin-14 motors participate in a force balance at microtubule plus ends to regulate dynamic instability. Proc Natl Acad Sci USA 119, e2108046119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Peterman EJ, Scholey JM (2009). Mitotic microtubule crosslinkers: Insights from mechanistic studies. Curr Biol 19, R1089–1094. [DOI] [PubMed] [Google Scholar]
  60. Reinemann DN, Norris SR, Ohi R, Lang MJ (2018). Processive Kinesin-14 HSET exhibits directional flexibility depending on motor traffic. Curr Biol 28, 2356–2362 e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Rhys AD, Monteiro P, Smith C, Vaghela M, Arnandis T, Kato T, Leitinger B, Sahai E, McAinsh A, Charras G, et al. (2018). Loss of E-cadherin provides tolerance to centrosome amplification in epithelial cancer cells. J Cell Biol 217, 195–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Rosenfeld SS, Rener B, Correia JJ, Mayo MS, Cheung HC (1996). Equilibrium studies of kinesin-nucleotide intermediates. J Biol Chem 271, 9473–9482. [DOI] [PubMed] [Google Scholar]
  63. Saunders W, Lengyel V, Hoyt MA (1997). Mitotic spindle function in Saccharomyces cerevisiae requires a balance between different types of kinesin-related motors. Mol Biol Cell 8, 1025–1033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Sharp DJ, Brown HM, Kwon M, Rogers GC, Holland G, Scholey JM (2000). Functional coordination of three mitotic motors in Drosophila embryos. Mol Biol Cell 11, 241–253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. She ZY, Yang WX (2017). Molecular mechanisms of Kinesin-14 motors in spindle assembly and chromosome segregation. J Cell Sci 130, 2097–2110. [DOI] [PubMed] [Google Scholar]
  66. Shrestha S, Ems-McClung SC, Hazelbaker MA, Yount AL, Shaw SL, Walczak CE (2023). Importin α/β promote Kif18B microtubule association and enhance microtubule destabilization activity. Mol Biol Cell 34, ar30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Stewart RJ, Thaler JP, Goldstein LS (1993). Direction of microtubule movement is an intrinsic property of the motor domains of kinesin heavy chain and Drosophila ncd protein. Proc Natl Acad Sci USA 90, 5209–5213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Syrovatkina V, Tran PT (2015). Loss of Kinesin-14 results in aneuploidy via Kinesin-5-dependent microtubule protrusions leading to chromosome cut. Nat Commun 6, 7322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Szczęsna E, Kasprzak AA (2016). Insights into the process of EB1-dependent tip-tracking of Kinesin-14 Ncd. The role of the microtubule. Eur J Cell Biol 95, 521–530. [DOI] [PubMed] [Google Scholar]
  70. Valdez VA, Neahring L, Petry S, Dumont S (2023). Mechanisms underlying spindle assembly and robustness. Nat Rev Mol Cell Biol 24, 523–542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Walczak CE, Gan EC, Desai A, Mitchison TJ, Kline-Smith SL (2002). The microtubule-destabilizing kinesin XKCM1 is required for chromosome positioning during spindle assembly. Curr Biol 12, 1885–1889. [DOI] [PubMed] [Google Scholar]
  72. Walczak CE, Verma S, Mitchison TJ (1997). XCTK2: A kinesin-related protein that promotes mitotic spindle assembly in Xenopus laevis egg extracts. J Cell Biol 136, 859–870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Weaver LN, Ems-McClung SC, Chen SH, Yang G, Shaw SL, Walczak CE (2015). The Ran-GTP gradient spatially regulates XCTK2 in the spindle. Curr Biol 25, 1509–1514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Weaver LN, Ems-McClung SC, Stout JR, LeBlanc C, Shaw SL, Gardner MK, Walczak CE (2011). Kif18A uses a microtubule-binding site in the tail for plus-end localization and spindle length regulation. Curr Biol 21, 1500–1506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Weinger JS, Qiu M, Yang G, Kapoor TM (2011). A nonmotor microtubule binding site in Kinesin-5 is required for filament crosslinking and sliding. Curr Biol 21, 154–160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Wendt T, Karabay A, Krebs A, Gross H, Walker R, Hoenger A (2003). A structural analysis of the interaction between ncd tail and tubulin protofilaments. J Mol Biol 333, 541–552. [DOI] [PubMed] [Google Scholar]
  77. Wilbur JD, Heald R (2013). Mitotic spindle scaling during Xenopus development by Kif2a and importin alpha. Elife 2, e00290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Wilde A, Zheng Y (1999). Stimulation of microtubule aster formation and spindle assembly by the small GTPase Ran. Science 284, 1359–1362. [DOI] [PubMed] [Google Scholar]
  79. Yang G, Cameron LA, Maddox PS, Salmon ED, Danuser G (2008). Regional variation of microtubule flux reveals microtubule organization in the metaphase meiotic spindle. J Cell Biol 182, 631–639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Yang G, Houghtaling BR, Gaetz J, Liu JZ, Danuser G, Kapoor TM (2007). Architectural dynamics of the meiotic spindle revealed by single-fluorophore imaging. Nat Cell Biol 9, 1233–1242. [DOI] [PubMed] [Google Scholar]
  81. Yildiz A (2024). Mechanism and regulation of kinesin motors. Nat Rev Mol Cell Biol 26, 86–103. [DOI] [PubMed] [Google Scholar]
  82. Yukawa M, Yamada Y, Yamauchi T, Toda T (2018). Two spatially distinct Kinesin-14 proteins, Pkl1, and Klp2, generate collaborative inward forces against Kinesin-5 Cut7 in S. pombe. J Cell Sci 131, jcs210740. [DOI] [PubMed] [Google Scholar]

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    mbc-36-ar72-s001.pdf (5.3MB, pdf)

    Articles from Molecular Biology of the Cell are provided here courtesy of American Society for Cell Biology

    RESOURCES