StableMARK-decorated microtubules in cells have expanded lattices
Open accessPublished version of a preprint
Abstract
Microtubules are crucial in cells and are regulated by various mechanisms like posttranslational modifications, microtubule-associated proteins, and tubulin isoforms. Recently, the conformation of the microtubule lattice has also emerged as a potential regulatory factor, but it has remained unclear to what extent different lattices co-exist within the cell. Using cryo-electron tomography, we find that, while most microtubules have a compacted lattice (∼41 Å monomer spacing), approximately a quarter of the microtubules displayed more expanded lattice spacings. The addition of the microtubule-stabilizing agent Taxol increased the lattice spacing of all microtubules, consistent with results on reconstituted microtubules. Furthermore, correlative cryo-light and electron microscopy revealed that the stable subset of microtubules labeled by StableMARK, a marker for stable microtubules, predominantly displayed a more expanded lattice spacing (∼41.9 Å), further suggesting a close connection between lattice expansion and microtubule stability. The coexistence of different lattices and their correlation with stability implicate lattice spacing as an important factor in establishing specific microtubule subsets.
AI snapshot
Written from the paper’s full text.
TL;DR
Cryo-electron tomography with in situ Fourier layer-line analysis shows that microtubule lattice spacings vary within U2OS cells, with compacted and expanded lattices coexisting. Taxol treatment hyper-expands cellular microtubules, and StableMARK-positive stable microtubules are predominantly expanded relative to untreated microtubules.
Key findings
- In untreated U2OS cells, 74% (23/31) of microtubules had a compacted average monomer spacing of 40.8–41.1 Å; the remaining microtubules had expanded spacing of 41.5–42.7 Å.
- Taxol treatment (1 µM, 16 h) shifted most microtubules to an expanded lattice: 97% (29/30) measured 42.3–43.2 Å, significantly different from untreated cells (P < 0.0001). The average hyper-expansion was 42.6 Å, larger than the in vitro Taxol measurement of ∼42.2 Å (P < 0.01).
- StableMARK-bound microtubules showed a clear shift toward an expanded distribution centered around 41.5–41.9 Å (P < 0.0001, N = 43), significantly different from untreated microtubules. Nearby undecorated microtubules were compacted and differed from the StableMARK distribution (P < 0.01, N = 12, 10 tomograms).
- Taxol-treated microtubules averaged 13 protofilaments, with an approximated helical rise of 9.82 Å corresponding to a monomer spacing of 42.5 Å, at ∼25 Å resolution.
Methods
- U2OS wild-type and StableMARK-expressing Flp-In T-Rex cells were grown on EM grids, vitrified, cryo-FIB milled into ∼150-nm lamellae, and imaged by cryo-ET; in vitro dynamic, Taxol-stabilized, and GMPCPP-bound microtubules served as technical controls.
- Lattice spacing was measured by layer-line Fourier analysis of masked and aligned microtubule segments using a 1,030-pixel box size (224-nm edge length); subtomogram averaging was performed in Relion for the Taxol dataset.
- A two-step cryo-CLEM workflow used StableMARK-NeonGreen and fBSA-Au5 fiducials with either an integrated Meteor cryo-FM or a separate CorrSight cryo-FM; lattice spacing distributions were compared with unpaired two-tailed t test–based permutation tests (10,000 iterations).
Limitations
- Stated: limited cryo-FM resolution means a proportion of StableMARK-bound microtubules may have been identified incorrectly, potentially contributing to the spread in lattice spacings; very low decoration of undecorated microtubules cannot be excluded due to limited cryo-FM sensitivity.
- Evident: the study is limited to U2OS cells and specific Taxol/StableMARK conditions, so generalization to other cell types or physiological contexts is not established.
- Evident: lattice measurements are from microtubule shafts, with no microtubule ends observed in the ∼0.8-μm field of view, so tip-specific lattice states are not assessed; the in situ subtomogram average resolution is limited to ∼25 Å.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
19 of 22 cited sources checked · 14 supported · 0 flagged · accuracy not yet measured
- Premisecitation
StableMARK preferentially binds to a subset of stable microtubules that are often highly acetylated and less dynamic.
“we used a kinesin-1 rigor construct, StableMARK (Jansen et al., 2023), which preferentially binds to a subset of stable microtubules that are often highly acetylated and less dynamic.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Jansen et al., 2023 source
- Findingown data
The FM-SEM localization errors are lower than previously reported SEM localization errors (SD of 225 nm in x and 341 nm in y).
“This is lower than previously reported SEM localization errors (SD of 225 nm in x and 341 nm in y), which were based on a workflow similar to our CorrSight workflow (Arnold et al., 2016).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Arnold et al., 2016 source
- Interpretationown data
The finding that stable cellular microtubules display expanded lattices directly supports the emerging model that microtubule lattice geometry functions as an additional cellular mechanism to guide protein binding specificity, on top of the previously established elements of the tubulin code.
“Our finding that stable cellular microtubules display expanded lattices now directly supports the emerging model that the microtubule lattice geometry functions as an additional cellular mechanism to guide protein binding specificity, on top of the previously established elements of the tubulin code”
Quote in the paperSubstantial claim1 of 3 sources checked - Findingown data
The Taxol-induced expansion observed in vitro (41.2-42.0 Å) is considerably smaller than the average hyper-expansion of 42.6 Å measured in situ.
“Remarkably, the Taxol-induced expansion to 41.2–42.0 Å observed in vitro (Alushin et al., 2014; Estevez-Gallego et al., 2020; Kellogg et al., 2017; Rai et al., 2020; Vale et al., 1994) is considerably smaller than the average hyper-expansion of 42.6 Å measured using our in situ approach.”
Quote in the paperSubstantial claim3 of 3 sources checked - Findingown data
In U2OS cells treated with 1 μM Taxol for 16 h, most microtubules (97%, 29/30) had an expanded lattice spacing of 42.3-43.2 Å.
“Indeed, in U2OS cells treated with 1 µM Taxol for 16 h, we observed microtubules with typical morphology (Fig. 2 A) but found that most microtubules (97%, 29/30) had an expanded lattice spacing of 42.3–43.2 Å (Fig. 2 B)”
Quote in the paperSubstantial claim
- Findingown data
Both workflows using the two different cryo-FM instruments yielded similar distributions for StableMARK-bound microtubules (P = 0.091).
“Both workflows, using the two different cryo-FM instruments, yielded similar distributions for StableMARK-bound microtubules (Fig. S6 I, P value = 0.091).”
Quote in the paperNot a substantial claim - Findingown data
The overall distribution of microtubule lattice spacings is heavily altered by Taxol.
“Together with the untreated cell data, these data all show that changes in lattice spacing can be detected for individual microtubules with our in situ layer line analysis and that the overall distribution of microtubule lattice spacings is heavily altered by Taxol.”
Quote in the paperSubstantial claim - Findingown data
The StableMARK distribution was significantly different from the lattice distribution observed for Taxol-treated cells (P < 0.0001).
“The StableMARK distribution was also significantly different from the lattice distribution observed for Taxol-treated cells (P value <0.0001).”
Quote in the paperSubstantial claim - Findingown data
The helical rise of Taxol-treated microtubules was approximated at 9.82 Å, corresponding to a monomer spacing of 42.5 Å.
“The helical rise was approximated at 9.82 Å, corresponding to a monomer spacing of 42.5 Å, which matches the spacing found with the layer line analysis well.”
Quote in the paperSubstantial claim - Findingown data
In untreated U2OS cells, 74% (23/31) of microtubules had a compacted average monomer spacing of 40.8-41.1 Å.
“In line with in vitro results of GDP-bound microtubules, 74% (23 out of 31) had a compacted average monomer spacing of 40.8–41.1 Å (Fig. 1 E).”
Quote in the paperSubstantial claim - Findingown data
Stable microtubules marked by StableMARK display an expanded lattice more similar to lattice spacings reported in vitro for microtubules assembled using GMPCPP or Taxol.
“but that the stable microtubules marked by the kinesin rigor construct StableMARK display an expanded lattice more similar to lattice spacings reported in in vitro studies for microtubules assembled using the GTP analog GMPCPP or in the presence of the drug Taxol (Fig. S1).”
Quote in the paperSubstantial claim - Findingown data
Analysis of StableMARK-bound microtubules revealed a clear shift toward a more expanded lattice distribution centered around 41.5-41.9 Å (P < 0.0001, N = 43, 12 tomograms), compared to the dominant compacted lattice observed for untreated microtubules.
“Analysis of their lattice spacings revealed a clear shift toward a more expanded lattice distribution centered around 41.5–41.9 Å (P value <0.0001, N = 43, 12 tomograms), in comparison to the dominant compacted lattice observed for untreated microtubules (Fig. 4 J).”
Quote in the paperSubstantial claim - Findingown data
Compacted and expanded microtubule lattice spacings coexist within cells.
“de Jager et al. show that compacted and expanded microtubule lattice spacings coexist within cells and that microtubules recognized by a marker for stable microtubules are predominantly expanded.”
- Also stated in: § Results and discussion · plain
“In line with in vitro results of GDP-bound microtubules, 74% (23 out of 31) had a compacted average monomer spacing of 40.8–41.1 Å (Fig. 1 E). The remaining microtubules had an expanded spacing of 41.5–42.7 Å.”
Quote in the paperSubstantial claim - Also stated in: § Results and discussion · plain
- Findingown data
In untreated U2OS cells, the remaining microtubules had an expanded spacing of 41.5-42.7 Å.
“The remaining microtubules had an expanded spacing of 41.5–42.7 Å.”
Quote in the paperSubstantial claim - Findingown data
The Taxol-treated lattice spacing distribution is significantly different from the untreated distribution (P < 0.0001).
“significantly different from the untreated distribution (P value <0.0001)”
- Also stated in: § Results and discussion · plain
“Taxol distribution is significantly different from the untreated distribution (****P value <0.0001, unpaired t test based permutation test).”
Quote in the paperSubstantial claim - Also stated in: § Results and discussion · plain
- Findingown data
The in vitro measurement of ∼42.2 Å for the Taxol lattice is less than what is most commonly observed in cells (P < 0.01).
“Our in vitro measurement of ∼42.2 Å for the Taxol lattice is also less than what we most commonly observe in cells (P value <0.01).”
Quote in the paperSubstantial claim - Findingown data
Taxol-treated microtubules consist of 13 protofilaments.
“Subtomogram averaging showed an average with 13 protofilaments (PFs) and did not reveal any unusual features at our limited 25 Å resolution”
- Also stated in: § Results and discussion · plain
“Microtubule average shows that Taxol-treated microtubules consist of 13 PFs.”
Quote in the paperNot a substantial claim - Also stated in: § Results and discussion · plain
- Findingown data
Most microtubules have a compacted lattice of ∼41 Å, in line with previous in vitro and in situ studies.
“We found that most microtubules have a compacted lattice of ∼41 Å, in line with previous in vitro and in situ studies (Fig. S1)”
Quote in the paperSubstantial claim - Findingown data
Microtubules recognized by a marker for stable microtubules are predominantly expanded.
“de Jager et al. show that compacted and expanded microtubule lattice spacings coexist within cells and that microtubules recognized by a marker for stable microtubules are predominantly expanded.”
- Also stated in: § Results and discussion · hedged
“Our results indicate that the stable, long-lived subset of microtubules inside cells recognized by StableMARK is predominately more expanded than the more dynamic subset.”
Quote in the paperSubstantial claim - Also stated in: § Results and discussion · hedged
- Study design and conductreasoning
The integrated cryo-FM workflow increased throughput and success rate considerably compared with the CorrSight workflow.
“This increased the workflow’s throughput and success rate considerably compared with the CorrSight workflow which only used FM data prior to milling.”
Quote in the paperSubstantial claim - Study design and conductown data
FM-SEM localization error had an SD of 121 nm in x and 116 nm in y for the CorrSight workflow.
“and 121 nm in x and of 116 nm in y for the CorrSight workflow (Fig. S5 G).”
Quote in the paperSubstantial claim - Study design and conductown data
The estimated localization errors confirmed that the FM-SEM correlation was sufficiently accurate for the first step of the CLEM approach using either instrument.
“The estimated localization errors confirmed that the FM-SEM correlation was sufficiently accurate for the first step of our CLEM approach using either instrument.”
Quote in the paperSubstantial claim - Interpretationown data
The stable, long-lived subset of microtubules inside cells recognized by StableMARK is predominantly more expanded than the more dynamic subset.
“Our results indicate that the stable, long-lived subset of microtubules inside cells recognized by StableMARK is predominately more expanded than the more dynamic subset.”
Quote in the paperSubstantial claim - Study design and conductown data
FM-SEM localization error had an SD of 180 nm in x and 200 nm in y for the Meteor workflow.
“showed an FM-SEM localization error with an SD of 180 nm in x and 200 nm in y for the Meteor workflow (Fig. 3 E)”
Quote in the paperNot a substantial claim - Interpretationown data
Microtubule lattice spacings are variable even far away from microtubule tips.
“Our results indicate that microtubule lattice spacings are variable even far away from microtubule tips, where an altered lattice spacing is expected”
- Also stated in: § Results and discussion · plain
“Within the field of view of our data, which is ∼0.8 μm, we did not observe any microtubule ends.”
Quote in the paperSubstantial claim - Also stated in: § Results and discussion · plain
- Study design and conductown data
The in situ layer line analysis can detect changes in lattice spacing for individual microtubules.
“Together with the untreated cell data, these data all show that changes in lattice spacing can be detected for individual microtubules with our in situ layer line analysis”
- Also stated in: § Results and discussion · plain
“To confirm that our imaging conditions and processing approach were reliable, in vitro microtubule preparations of dynamic-, Taxol-, and GMPCPP-bound microtubules were examined as a technical control to confirm our measurements agreed with literature values”
Quote in the paperSubstantial claim - Also stated in: § Results and discussion · plain
- Classified as probably not a substantial claim. 19
- The quote only partly states this claim. 1
- May combine two claims. 5
Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductcitationThe accuracy of the correlation was measured by leave-one-out calculations as described by Schorb and Briggs (2014).
“Leave-one-out calculations were performed as described by Schorb and Briggs (2014).”
- Also stated in: § Statistical analyses · plain
“The deviation of the predicted bead position from the true bead position was used to calculate the standard deviation of the errors, which was used as an accuracy measurement.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Schorb and Briggs (2014) source
- Also stated in: § Statistical analyses · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe 13-protofilament assignment of the initial average was confirmed by overlaying and cross-correlating it with the six references (11-16 protofilaments) from the Microtubule RELION-based Pipeline (MiRP).
“This was confirmed by overlaying and cross-correlating the average with the six references (11–16 PFs) from the Microtubule RELION-based Pipeline (MiRP) (Cook et al., 2020).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Cook et al., 2020 source
Classified as probably not a substantial claim.
PremisecitationThe GTP-bound state is thought to have an expanded lattice spacing of ∼42 Å.
“The GTP-bound state is thought to have an expanded lattice spacing of ∼42 Å as determined for hydrolysis-deficient mutants and the slowly hydrolysable GTP analogue guanylyl-(α,β)-methylene-diphosphonate (GMPCPP) (Hyman et al., 1995; LaFrance et al., 2022).”
Quote in the paperSubstantial claim2 of 2 sources checkedMay combine two claims.
Findingown dataIn vitro, dynamic microtubules have predominantly compacted lattice spacing, while Taxol- and GMPCPP-bound microtubules have expanded lattice spacing.
“Our analysis recovered the expected lattice spacings, namely predominantly compacted for dynamic microtubules, and expanded for Taxol- and GMPCPP-bound microtubules, verifying our approach (Fig. 1 E).”
- Also stated in: § Results and discussion · plain
“A separate in vitro preparation protocol for Taxol and GMPCPP lattices, assembled from tubulin without any fluorophore or biotin labels, similarly yielded expanded microtubules (Fig. S3, D–F) (Estevez-Gallego et al., 2020; Vale et al., 1994).”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Estevez-Gallego et al., 2020 source
- cites Vale et al., 1994 source
The Structural Features section (page unavailable) reports a shorter mean axial repeat for GDP microtubules without Taxol (40.74 Å) than for Taxol-treated GDP microtubules (42.02 Å) or GMPCPP microtubules (41.93 Å without Taxol). This supports the compact-versus-expanded comparison, but the paper does not identify the measured untreated GDP microtubules as dynamic or establish that dynamic microtubules predominantly have compacted spacing. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Also stated in: § Results and discussion · plain
Classified as probably not a substantial claim. May combine two claims.
PremisecitationVarious microtubule-binding proteins have higher affinities for expanded or compacted lattices in vitro and can induce lattice expansion or compaction, respectively.
“various microtubule-binding proteins have higher affinities for expanded or compacted lattices in vitro and can also induce lattice expansion or compaction, respectively (Ferro et al., 2022; Guedes-Dias et al., 2019; Peet et al., 2018; Shima et al., 2018; Watanabe et al., 2020; Zhang et al., 2017)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Ferro et al., 2022 source
The paper’s structural discussion (indexed as Abstract; page unavailable) describes where MAP7 binds on microtubules, and its motility experiments report MAP7 binding affinity. Neither addresses preferential binding to expanded versus compacted lattices or MAP7-induced lattice expansion or compaction. Searches for “expanded,” “compacted,” and lattice-spacing terms found no passage establishing the attributed point. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites Guedes-Dias et al., 2019 source
The Results section reports that KIF1A binds more strongly to GDP-taxol-stabilized than to GMPCPP-stabilized microtubules in vitro. The Discussion describes GDP-like lattices as compacted and GTP-like lattices as expanded. Neither section shows that KIF1A, or another binding protein studied here, induces lattice compaction or expansion. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Peet et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMicroexpansion joints increase lamellae stability.
“Microexpansion joints were added during the first step to increase lamellae stability (Wolff et al., 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Wolff et al., 2019 source
Classified as probably not a substantial claim.
PremisecitationTaxol can alter the lattice spacing of microtubules in vitro.
“drugs like the anti-cancer drug Taxol (paclitaxel) can alter the lattice spacing of the microtubule in vitro (Kellogg et al., 2017).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Kellogg et al., 2017 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThe different lattice spacings observed in the microtubule shaft likely play a role in microtubule stability, MAP binding, and motor protein kinetics.
“the different lattice spacings that we observe in the shaft of the microtubule likely play a role in microtubule stability, MAP binding, and motor protein kinetics, as has been previously postulated”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Cross, 2019 source
- cites Zhang et al., 2018 source
The Discussion (page not available in our copy) proposes that lattice rearrangements affect binding-partner affinity and microtubule dynamics, supporting the proposed roles in MAP binding and stability. It does not say that lattice spacing affects motor protein kinetics; its discussion of kinesin concerns changes in lattice spacing upon binding, not motor kinetics. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe GDP-bound state makes up the bulk of the microtubule shaft and is generally characterized by a compacted average monomer spacing of ∼41 Å.
“This GDP-bound state, which makes up the bulk of the microtubule shaft, generally is characterized by a compacted average monomer spacing of ∼41 Å that is distinct from that of the presumed GTP-bound state at the tip (the GTP-cap).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Alushin et al., 2014 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFM-FIB correlation did not add significant information when tested.
“An FM-FIB correlation was not included in our workflow as this is a time-intensive procedure and the limited z-resolution of our cryo-FM setup meant this correlation did not add significant information when tested.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUndecorated microtubules near positively identified StableMARK-bound microtubules had compacted lattices, with a distribution significantly different from the StableMARK distribution (P < 0.01, N = 12, 10 tomograms).
“For undecorated microtubules near the positively identified StableMARK-bound microtubules, we observed compacted lattices (for example, Fig. S7, A–E) and obtained a distribution significantly different from the StableMARK distribution (P value <0.01, N = 12, 10 tomograms, Fig. S7 F)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAn initial 3D refinement using a hollow tube as a starting reference yielded an average with 13 protofilaments.
“An initial 3D refinement, using a hollow tube (Fig. S4 A) as a starting reference, yielded an average with 13 PFs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA final 3D refinement using optimized rise and twist values to apply helical symmetry yielded an average with a resolution of ∼25 Å.
“A final 3D refinement was performed where the optimized rise (−27.7°) and twist (9.82 Å) values were used to apply helical symmetry. This yielded an average with a resolution of ∼25 Å.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe average scaling factor calculated from 10 lamella sites was 0.584 ± 0.005.
“This yielded an average scaling factor of 0.584 ± 0.005.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAttempts to sort subtomograms into different protofilament classes using two, three, or six classes yielded misaligned averages, identical classes, or all particles going to a single, 13-protofilament class.
“Attempts to sort subtomograms into different PF classes using two, three, or six classes yielded misaligned averages, identical classes, or all particles going to a single, 13 PF class.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe lower localization errors are most likely due to the increased number of beads used for calculating the transform (seven to nine instead of six).
“This is most likely due to the increased number of beads we used for calculating the transform (seven to nine instead of six).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenCells were confirmed to be free of mycoplasma.
“Cells were confirmed to be free of mycoplasma.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataP values for comparison of the different lattice spacing distributions were calculated with an unpaired two-tailed t test-based permutation test with 10,000 iterations.
“P values for comparison of the different lattice spacing distributions were calculated with an unpaired two-tailed t test–based permutation test with 10,000 iterations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThis fractional misassignment might contribute to the large spread observed in lattice spacings for the StableMARK-bound microtubule subset.
“This fractional misassignment might contribute to the large spread observed in lattice spacings for the StableMARK-bound microtubule subset.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningA proportion of the StableMARK-bound microtubules may have been identified incorrectly due to the limited resolution of the cryo-FM setup.
“we cannot exclude that a proportion of the StableMARK-bound microtubules were identified incorrectly due to the limited resolution of our cryo-FM setup.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe microtubules in the lamellae of untreated and Taxol-treated cells were chosen at random.
“The microtubules in the lamellae of untreated and Taxol-treated cells were chosen at random.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The microtubule lattice spacing in situ had never been measured directly before this study.
“However, the microtubule lattice spacing in situ has never been measured directly and its potential to act as a layer of regulation within cells therefore remains uncertain.”
The paper relies on this without support.
The potential of microtubule lattice spacing to act as a layer of regulation within cells remained uncertain before this study.
“However, the microtubule lattice spacing in situ has never been measured directly and its potential to act as a layer of regulation within cells therefore remains uncertain.”
The paper relies on this without support.
The SEM and FM imaging systems are at a fixed position with respect to each other.
“FM images could simply be scaled with a predetermined scaling factor, as the SEM and FM imaging systems are at a fixed position with respect to each other.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Acetylated, stable microtubules have expanded lattices, making them more similar in conformation to paclitaxel- and GMPCPP-stabilized microtubules.
“probably because their lattices are expanded 39,53 and are thus more similar in conformation to paclitaxel- and GMPCPP-stabilized microtubules.”
From Taxane-induced conformational changes in the microtubule lattice activate GEF-H1-dependent RhoA signalling (2026) · cites this paper as [39]
The Results and discussion report that StableMARK-marked stable microtubules have expanded lattices resembling those of Taxol (paclitaxel)- and GMPCPP-stabilized microtubules. The paper says this marked subset is often highly acetylated, but it does not establish that acetylated microtubules generally have expanded lattices or that acetylation causes the expansion. (LLM, conf=0.84)
Experimental — accuracy not yet measuredTaxanes induce the expanded microtubule lattice conformation.
“This expanded conformation, characterized by an increased longitudinal spacing between tubulin dimers, is also induced by taxanes 39-41 .”
From Taxane-induced conformational changes in the microtubule lattice activate GEF-H1-dependent RhoA signalling (2026) · cites this paper as [39]
Stable microtubules have a distinct, expanded lattice conformation.
“Acetylation in interphase cells typically occurs on stable microtubules 37,38 , and stable microtubules were recently found to have a distinct, expanded lattice conformation 39 .”
From Taxane-induced conformational changes in the microtubule lattice activate GEF-H1-dependent RhoA signalling (2026) · cites this paper as [39]
GFP-GEF-H1 avoided microtubules labelled with the marker for stable expanded microtubules, StableMARK.
“Similarly, GFP-GEF-H1 avoided microtubules labelled with the marker for stable expanded microtubules, StableMARK 39,53 (Extended Data Fig. 3c).”
From Taxane-induced conformational changes in the microtubule lattice activate GEF-H1-dependent RhoA signalling (2026) · cites this paper as [39]
The expanded microtubule lattice conformation is characterized by an increased longitudinal spacing between tubulin dimers.
“This expanded conformation, characterized by an increased longitudinal spacing between tubulin dimers, is also induced by taxanes 39-41 .”
From Taxane-induced conformational changes in the microtubule lattice activate GEF-H1-dependent RhoA signalling (2026) · cites this paper as [39]
Measured axial repeat distances correspond closely to canonical compact and expanded lattice parameters reported in vitro and in intact cells.
“The measured axial repeat distances correspond closely to canonical compact and expanded lattice parameters reported in vitro45–47 and in intact cells48.”
From Ghost Neuron preparation unlocks high-resolution structural mapping of intracellular architecture in axons (2026) · cites this paper as [48]
Expanded lattice states have been detected in intact mammalian U2OS cells by cryo-ET, supporting lattice heterogeneity within a cell.
“In addition, the expanded lattice states have been detected in intact mammalian U2OS cells by cryo-ET48, supporting the lattice heterogeneity within a cell.”
From Ghost Neuron preparation unlocks high-resolution structural mapping of intracellular architecture in axons (2026) · cites this paper as [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Particle box width is reported in Å instead of nm
MinorAt 2.17 Å per pixel, a 1,030-pixel box is 2,235.1 Å wide, not 224 Å. The paper elsewhere describes the same box as approximately 224 nm wide.
Reported 224 · recomputed 2235.1
“These particles were extracted from the unbinned tomograms with a box size of 1,030 pixels (224 Å)”
StableMARK tomogram count differs between results and figure
MinorThe results give 12 tomograms for the 43 StableMARK-bound microtubules, whereas Fig. 4 J gives 25 tomograms for the same 43 microtubules.
“(P value <0.0001, N = 43, 12 tomograms)”
“StableMARK subset of microtubules (N = 43, 25 tomograms, 23 cells)”
Helical rise and twist labels are reversed
MinorThe final refinement assigns an angle to rise and a length to twist, reversing the assignments used for those parameters immediately beforehand.
“the optimized rise (−27.7°) and twist (9.82 Å) values were used to apply helical symmetry”
“twist: −27.7°, rise: 9.4 Å”
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0686-2 · Cited by 38,430 · see citing works
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2019) · Apollo - University of Cambridge Repository · doi:10.17863/cam.64134 · Cited by 10,460 · see citing works
MotionCor2 - anisotropic correction of beam-induced motion for improved cryo-electron microscopy
Zheng, S., Palovcak, E. J., Armache, J., Verba, K., Cheng, Y.-F., & Agard, D. (2017) · Nature Methods · doi:10.1038/nmeth.4193 · Cited by 7,678 · see citing works
Computer visualization of three-dimensional image data using IMOD.
Kremer, J. R., Mastronarde, D., & Mcintosh, J. (1996) · Journal of Structural Biology · doi:10.1006/jsbi.1996.0013 · Cited by 5,770 · see citing works
Jupyter Notebooks – a publishing format for reproducible computational workflows
Kluyver, T. A., Ragan-Kelley, B., Fernando, P., Granger, B., Bussonnier, M., Frederic, J., Kelley, K., Hamrick, J. B., Grout, J., Corlay, S., et al. (2016) · IOS Press eBooks · doi:10.3233/978-1-61499-649-1-87 · Cited by 3,191 · see citing works
A bright monomeric green fluorescent protein derived from Branchiostoma lanceolatum
Shaner, N. C., Lambert, G. G., Chammas, A., Ni, Y., Cranfill, P. J. C., Baird, M. A., Sell, B., Allen, J. R., Day, R. N., Israelsson, M., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2413 · Cited by 1,260 · see citing works
The tubulin code and its role in controlling microtubule properties and functions
Janke, C., & Magiera, M. M. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0214-3 · Cited by 956 · see citing works
Hagen, W. J. H., Wan, W., & Briggs, J. A. G. (2016) · Journal of Structural Biology · doi:10.1016/j.jsb.2016.06.007 · Cited by 812 · see citing works
A structural change in the kinesin motor protein that drives motility
Rice, S., Lin, A. W., Safer, D., Hart, C. L., Naber, N., Carragher, B. O., Cain, S. M., Pechatnikova, E., Wilson-Kubalek, E. M., Whittaker, M., et al. (1999) · Nature · doi:10.1038/45483 · Cited by 798 · see citing works
Mechanisms of Taxol resistance related to microtubules
Orr, G. A., Verdier-Pinard, P., McDaid, H., & Horwitz, S. B. (2003) · Oncogene · doi:10.1038/sj.onc.1206934 · Cited by 727 · see citing works
Alushin, G. M., Lander, G. C., Kellogg, E. H., Zhang, R., Baker, D., & Nogales, E. (2014) · Cell · doi:10.1016/j.cell.2014.03.053 · Cited by 696 · see citing works
Regulation of microtubule motors by tubulin isotypes and post-translational modifications
Sirajuddin, M., Rice, L. M., & Vale, R. D. (2014) · Nature Cell Biology · doi:10.1038/ncb2920 · Cited by 604 · see citing works
MINFLUX nanoscopy delivers 3D multicolor nanometer resolution in cells
Gwosch, K. C., Pape, J. K., Balzarotti, F., Hoess, P., Ellenberg, J., Ries, J., & Hell, S. W. (2020) · Nature Methods · doi:10.1038/s41592-019-0688-0 · Cited by 570 · see citing works
Verhey, K. J., & Gaertig, J. (2007) · Cell Cycle · doi:10.4161/cc.6.17.4633 · Cited by 558 · see citing works
Mastronarde, D. N. (2003) · Microscopy and Microanalysis · doi:10.1017/s1431927603445911 · Cited by 547 · see citing works
Mechanistic Origin of Microtubule Dynamic Instability and Its Modulation by EB Proteins
Zhang, R., Alushin, G. M., Brown, A., & Nogales, E. (2015) · Cell · doi:10.1016/j.cell.2015.07.012 · Cited by 457 · see citing works
Focused ion beam micromachining of eukaryotic cells for cryoelectron tomography
Rigort, A., Bäuerlein, F. J. B., Villa, E., Eibauer, M., Laugks, T., Baumeister, W. P., & Plitzko, J. M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201333109 · Cited by 421 · see citing works
Near-atomic model of microtubule-tau interactions
Kellogg, E. H., Hejab, N. M. A., Poepsel, S., Downing, K. H., DiMaio, F., & Nogales, E. (2018) · Science · doi:10.1126/science.aat1780 · Cited by 416 · see citing works
Tubulin tyrosination navigates the kinesin-1 motor domain to axons
Konishi, Y., & Setou, M. (2009) · Nature Neuroscience · doi:10.1038/nn.2314 · Cited by 415 · see citing works
A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0
Zivanov, J., Otón, J., Ke, Z., von Kügelgen, A., Pyle, E., Qu, K., Morado, D. R., Castaño‐Díez, D., Zanetti, G., Bharat, T. A. M., et al. (2022) · eLife · doi:10.7554/elife.83724 · Cited by 339 · see citing works
Intramolecular Strain Coordinates Kinesin Stepping Behavior along Microtubules
Yildiz, A., Tomishige, M., Gennerich, A., & Vale, R. D. (2008) · Cell · doi:10.1016/j.cell.2008.07.018 · Cited by 313 · see citing works
Differentiation between oppositely oriented microtubules controls polarized neuronal transport
Tas, R. P., Chazeau, A., Cloin, B. M. C., Lambers, M. L. A., Hoogenraad, C. C., & Kapitein, L. C. (2017) · Neuron · doi:10.1016/j.neuron.2017.11.018 · Cited by 306 · see citing works
Self-citationThe Tubulin Code in Microtubule Dynamics and Information Encoding
Roll‐Mecak, A. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.06.008 · Cited by 303 · see citing works
Single molecule imaging reveals differences in microtubule track selection between Kinesin motors
Cai, D., McEwen, D. P., Martens, J. R., Meyhofer, E., & Verhey, K. J. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000216 · Cited by 300 · see citing works
Kinesin Is a Candidate for Cross-bridging Microtubules and Intermediate Filaments
Liao, G., & Gundersen, G. G. (1998) · Journal of Biological Chemistry · doi:10.1074/jbc.273.16.9797 · Cited by 287 · see citing works
Posttranslational modifications of tubulin and the polarized transport of kinesin-1 in neurons
Hammond, J. W., Huang, C.-F., Kaech, S., Jacobson, C., Banker, G., & Verhey, K. J. (2010) · Molecular Biology of the Cell · doi:10.1091/mbc.e09-01-0044 · Cited by 281 · see citing works
Eb1 Proteins Regulate Microtubule Dynamics, Cell Polarity, and Chromosome Stability
Tirnauer, J. S., & Bierer, B. E. (2000) · The Journal of Cell Biology · doi:10.1083/jcb.149.4.761 · Cited by 278 · see citing works
Barbuti, A. M., & Chen, Z. (2015) · Cancers · doi:10.3390/cancers7040897 · Cited by 270 · see citing works
Guardia, C. M., Farías, G. G., Jia, R., Pu, J., & Bonifacino, J. S. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.10.062 · Cited by 269 · see citing works
Gadadhar, S., Bodakuntla, S., Natarajan, K., & Janke, C. (2017) · Journal of Cell Science · doi:10.1242/jcs.199471 · Cited by 260 · see citing works
Differential trafficking of Kif5c on tyrosinated and detyrosinated microtubules in live cells
Dunn, S., Morrison, E. E., Liverpool, T. B., Molina-París, C., Cross, R. A., Alonso, M. C., & Peckham, M. (2008) · Journal of Cell Science · doi:10.1242/jcs.026492 · Cited by 242 · see citing works
A new resolution criterion based on spectral signal-to-noise ratios
Unser, M. A., Trus, B. L., & Steven, A. C. (1987) · Ultramicroscopy · doi:10.1016/0304-3991(87)90225-7 · Cited by 241 · see citing works
Hyman, A. A., Chrétien, D., Arnal, I., & Wade, R. H. (1995) · The Journal of cell biology · doi:10.1083/jcb.128.1.117 · Cited by 240 · see citing works
Kellogg, E. H., Hejab, N. M. A., Howes, S., Northcote, P., Miller, J. H., Díaz, J. F., Downing, K. H., & Nogales, E. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.01.001 · Cited by 234 · see citing works
Self-citationMechanisms of microtubule organization in differentiated animal cells
Akhmanova, A., & Kapitein, L. C. (2022) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00473-y · Cited by 233 · see citing works
Self-citationSite-specific cryo-focused ion beam sample preparation guided by 3D correlative microscopy
Arnold, J., Mahamid, J., Lucic, V., de Marco, A., Fernandez, J.-J., Laugks, T., Mayer, T., Hyman, A. A., Baumeister, W., & Plitzko, J. M. (2016) · Biophysical Journal · doi:10.1016/j.bpj.2015.10.053 · Cited by 221 · see citing works
Competition between microtubule-associated proteins directs motor transport
Monroy, B. Y., Sawyer, D. L., Ackermann, B. E., Borden, M. M., Tan, T. C., & Ori-McKenney, K. M. (2018) · Nature Communications · doi:10.1038/s41467-018-03909-2 · Cited by 213 · see citing works
The In Situ Structure of Parkinson’s Disease-Linked LRRK2
Watanabe, R., Buschauer, R., Böhning, J., Audagnotto, M., Lasker, K., Lu, T., Boassa, D., Taylor, S. S., & Villa, E. (2020) · Cell · doi:10.1016/j.cell.2020.08.004 · Cited by 208 · see citing works
Preparing samples from whole cells using focused-ion-beam milling for cryo-electron tomography
Wagner, F., Watanabe, R., Schampers, R., Singh, D., Persoon, H., Schaffer, M., Fruhstorfer, P., Plitzko, J. M., & Villa, E. (2020) · Nature Protocols · doi:10.1038/s41596-020-0320-x · Cited by 199 · see citing works
MAP7 family proteins regulate kinesin-1 recruitment and activation
Hooikaas, P. J., Martin, M., Mühlethaler, T., Kuijntjes, G.-J., Peeters, C. A. E., Katrukha, E. A., Ferrari, L., Stucchi, R., Verhagen, D. G. F., van Riel, W. E., et al. (2019) · Journal of Cell Biology · doi:10.1083/jcb.201808065 · Cited by 166 · see citing works
Self-citationSeparating the effects of nucleotide and EB binding on microtubule structure
Zhang, R., LaFrance, B., & Nogales, E. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1802637115 · Cited by 160 · see citing works
The role of tubulin–tubulin lattice contacts in the mechanism of microtubule dynamic instability
Manka, S. W., & Moores, C. A. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0087-8 · Cited by 159 · see citing works
A combinatorial MAP code dictates polarized microtubule transport
Monroy, B. Y., Tan, T. C., Oclaman, J. M., Han, J. S., Simó, S., Niwa, S., Nowakowski, D. W., McKenney, R. J., & Ori-McKenney, K. M. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.01.029 · Cited by 157 · see citing works
Kinesin-3 responds to local microtubule dynamics to target synaptic cargo delivery to the presynapse
Guedes-Dias, P., Nirschl, J. J., Abreu, N., Tokito, M. K., Janke, C., Magiera, M. M., & Holzbaur, E. L. F. (2019) · Current Biology · doi:10.1016/j.cub.2018.11.065 · Cited by 153 · see citing works
Castaño‐Díez, D., Kudryashev, M., & Stahlberg, H. (2016) · Journal of Structural Biology · doi:10.1016/j.jsb.2016.06.005 · Cited by 148 · see citing works
Doublecortin Recognizes the 13-Protofilament Microtubule Cooperatively and Tracks Microtubule Ends
Bechstedt, S., & Brouhard, G. J. (2012) · Developmental Cell · doi:10.1016/j.devcel.2012.05.006 · Cited by 141 · see citing works
Schorb, M., & Briggs, J. A. G. (2014) · Ultramicroscopy · doi:10.1016/j.ultramic.2013.10.015 · Cited by 140 · see citing works
Effects of α-Tubulin K40 Acetylation and Detyrosination on Kinesin-1 Motility in a Purified System
Kaul, N., Soppina, V., & Verhey, K. J. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2014.05.008 · Cited by 129 · see citing works
Neck Linker Length Determines the Degree of Processivity in Kinesin-1 and Kinesin-2 Motors
Shastry, S., & Hancock, W. O. (2010) · Current Biology · doi:10.1016/j.cub.2010.03.065 · Cited by 129 · see citing works
Kinesin-binding-triggered conformation switching of microtubules contributes to polarized transport
Shima, T., Morikawa, M., Kaneshiro, J., Kambara, T., Kamimura, S., Yagi, T., Iwamoto, H., Uemura, S., Shigematsu, H., Shirouzu, M., et al. (2018) · Journal of Cell Biology · doi:10.1083/jcb.201711178 · Cited by 125 · see citing works
Mind the gap: Micro-expansion joints drastically decrease the bending of FIB-milled cryo-lamellae
Wolff, G., Limpens, R. W. A. L., Zheng, S., Snijder, E. J., Agard, D. A., Koster, A. J., & Bárcena, M. (2019) · Journal of Structural Biology · doi:10.1016/j.jsb.2019.09.006 · Cited by 115 · see citing works
Structural insight into TPX2-stimulated microtubule assembly
Zhang, R., Roostalu, J., Surrey, T., & Nogales, E. (2017) · eLife · doi:10.7554/elife.30959 · Cited by 113 · see citing works
Ferro, L. S., Fang, Q., Eshun-Wilson, L., Fernandes, J., Jack, A., Farrell, D. P., Golcuk, M., Huijben, T., Costa, K., Gur, M., et al. (2022) · Science · doi:10.1126/science.abf6154 · Cited by 112 · see citing works
Vale, R. D., Coppin, C. M., Malik, F., Kull, F. J., & Milligan, R. A. (1994) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)31582-x · Cited by 111 · see citing works
Kinesin expands and stabilizes the GDP-microtubule lattice
Peet, D. R., Burroughs, N. J., & Cross, R. A. (2018) · Nature Nanotechnology · doi:10.1038/s41565-018-0084-4 · Cited by 106 · see citing works
Burute, M., & Kapitein, L. C. (2019) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100818-125149 · Cited by 101 · see citing works
Self-citationLaFrance, B. J., Roostalu, J., Henkin, G., Greber, B. J., Zhang, R., Normanno, D., McCollum, C. O., Surrey, T., & Nogales, E. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2114994119 · Cited by 100 · see citing works
Tubulin Acetylation Alone Does Not Affect Kinesin-1 Velocity and Run Length In Vitro
Walter, W. J., Beránek, V., Fischermeier, E., & Diez, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042218 · Cited by 97 · see citing works
Microtubule lattice spacing governs cohesive envelope formation of tau family proteins
Siahaan, V., Tan, R., Humhalova, T., Libusova, L., Lacey, S. E., Tan, T., Dacy, M., Ori-McKenney, K. M., McKenney, R. J., Braun, M., et al. (2022) · Nature Chemical Biology · doi:10.1038/s41589-022-01096-2 · Cited by 94 · see citing works
Microtubule structure by cryo-EM: snapshots of dynamic instability
Manka, S. W., & Moores, C. A. (2018) · Essays in Biochemistry · doi:10.1042/ebc20180031 · Cited by 92 · see citing works
Morikawa, M., Yajima, H., Nitta, R., Inoué, S., Ogura, T., Sato, C., & Hirokawa, N. (2015) · The EMBO Journal · doi:10.15252/embj.201490588 · Cited by 91 · see citing works
Microtubule structure at low resolution by x-ray diffraction.
Mandelkow�, E., Thomas, J., & Cohen, C. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.8.3370 · Cited by 77 · see citing works
Duan, A. R., Jonasson, E. M., Alberico, E. O., Li, C., Scripture, J. P., Miller, R. A., Alber, M., & Goodson, H. V. (2017) · Journal of Molecular Biology · doi:10.1016/j.jmb.2017.03.018 · Cited by 74 · see citing works
Structural model for differential cap maturation at growing microtubule ends
Estévez-Gallego, J., Josa-Prado, F., Ku, S., Buey, R. M., Balaguer, F. A., Prota, A. E., Lucena-Agell, D., Kamma-Lorger, C., Yagi, T., Iwamoto, H., et al. (2020) · eLife · doi:10.7554/elife.50155 · Cited by 65 · see citing works
A microtubule RELION-based pipeline for cryo-EM image processing
Cook, A. D., Manka, S. W., Wang, S., Moores, C. A., & Atherton, J. (2020) · Journal of Structural Biology · doi:10.1016/j.jsb.2019.10.004 · Cited by 63 · see citing works
Taxanes convert regions of perturbed microtubule growth into rescue sites
Rai, A., Liu, T., Glauser, S., Katrukha, E. A., Estévez‐Gallego, J., Rodríguez-García, R., Fang, W., Díaz, J. F., Steinmetz, M. O., Altmann, K., et al. (2019) · Nature Materials · doi:10.1038/s41563-019-0546-6 · Cited by 56 · see citing works
Self-citationDoublecortin Is Excluded from Growing Microtubule Ends and Recognizes the GDP-Microtubule Lattice
Ettinger, A., van Haren, J., Ribeiro, S. A., & Wittmann, T. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.020 · Cited by 55 · see citing works
Advances in 3D single particle localization microscopy
Zhou, Y., Handley, M., Carles, G., & Harvey, A. R. (2019) · APL Photonics · doi:10.1063/1.5093310 · Cited by 52 · see citing works
β-Tubulin Isotypes Purified from Bovine Brain Have Different Relative Stabilities
Schwarz, P. M., Liggins, J. R., & Ludueña, R. F. (1998) · Biochemistry · doi:10.1021/bi972763d · Cited by 43 · see citing works
Microtubule lattice plasticity
Cross, R. A. (2019) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2018.10.004 · Cited by 43 · see citing works
Bär, J., Popp, Y., Bucher, M., & Mikhaylova, M. (2022) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2022.119241 · Cited by 40 · see citing works
A live-cell marker to visualize the dynamics of stable microtubules throughout the cell cycle
Jansen, K. I., Iwanski, M. K., Burute, M., & Kapitein, L. C. (2023) · Journal of Cell Biology · doi:10.1083/jcb.202106105 · Cited by 39 · see citing works
Self-citationYue, Y., Hotta, T., Higaki, T., Verhey, K. J., & Ohi, R. (2023) · Current Biology · doi:10.1016/j.cub.2023.07.062 · Cited by 39 · see citing works
Cellular cartography: Towards an atlas of the neuronal microtubule cytoskeleton
Iwanski, M. K., & Kapitein, L. C. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1052245 · Cited by 38 · see citing works
Self-citationBimodal endocytic probe for three-dimensional correlative light and electron microscopy
Fermie, J., de Jager, L., Foster, H. E., Veenendaal, T., de Heus, C., van Dijk, S., ten Brink, C., Oorschot, V. M. J., Yang, L., Li, W., et al. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100220 · Cited by 15 · see citing works
Self-citationShin, G. J.-E. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114258 · Cited by 14 · see citing works
Bieber, A., Capitanio, C., Schiøtz, O. H., Smeets, M., Fenzke, J., Erdmann, P. S., & Plitzko, J. M. (2021) · Microscopy and Microanalysis · doi:10.1017/s1431927621011132 · Cited by 5 · see citing works
Shen, Y., & Ori-McKenney, K. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.14.544846 · Cited by 5 · see citing works
A live-cell marker to visualize the dynamics of stable microtubulesPreprint
Jansen, K. I., Burute, M., & Kapitein, L. C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.23.449589 · Cited by 4 · see citing works
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Phase separation on microtubules: from droplet formation to cellular function?
Volkov, V. A., & Akhmanova, A. S. (2023) · Trends in Cell Biology · doi:10.1016/j.tcb.2023.06.004 · Cited by 51 · see citing works
Self-citationShen, Y., & Ori-McKenney, K. M. (2024) · Developmental Cell · doi:10.1016/j.devcel.2024.03.022 · Cited by 58 · see citing works
A live-cell marker to visualize the dynamics of stable microtubules throughout the cell cycle
Jansen, K. I., Iwanski, M. K., Burute, M., & Kapitein, L. C. (2023) · Journal of Cell Biology · doi:10.1083/jcb.202106105 · Cited by 39 · see citing works
Self-citationYue, Y., Hotta, T., Higaki, T., Verhey, K. J., & Ohi, R. (2023) · Current Biology · doi:10.1016/j.cub.2023.07.062 · Cited by 39 · see citing works
Competition for microtubule lattice spacing between a microtubule expander and compactor
Paquette, A. L., Tetlalmatzi, S. C., Haineault, J. A. G., Li, Y., Finkel, N., Hendricks, A. G., Brouhard, G. J., & Sébastien, M. (2025) · Current Biology · doi:10.1016/j.cub.2025.07.080 · Cited by 17 · see citing works
Nagpal, S., Swaminathan, K., Beaudet, D., Verdier, M., Wang, S., Berger, C. L., Berger, F., & Hendricks, A. G. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114649 · Cited by 13 · see citing works
Tau oligomerization on microtubules in health and disease
Ori‐McKenney, K. M., & McKenney, R. J. (2024) · Cytoskeleton · doi:10.1002/cm.21785 · Cited by 8 · see citing works
Cellular optical imaging techniques: a dynamic advancing frontier
Li, Y., Li, C., Zhou, C., Wang, J., Li, W., Pan, T., He, C., Guan, X., Wang, Y., Huang, Y., et al. (2025) · Science China Life Sciences · doi:10.1007/s11427-024-2916-5 · Cited by 6 · see citing works
Microtubule lattice conformation and integrity regulate α-tubulin acetylation
Egoldt, C., Velluz, M.-C., Tran, J., & Aumeier, C. (2026) · Communications Biology · doi:10.1038/s42003-026-10157-4 · Cited by 6 · see citing works
Microtubules in the axon are GDP bound but adopt a stable GTP-like expanded state
Zehr, E. A., Sun, S., Sarbanes, S. L., & Roll-Mecak, A. (2026) · Nature Structural & Molecular Biology · doi:10.1038/s41594-026-01787-7 · Cited by 8 · see citing works
Shen, Y., & Ori-McKenney, K. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.14.544846 · Cited by 5 · see citing works
Hotta, T., Pimm, M. L., Thomas, E. C., Yue, Y., DeLear, P. R., Blasius, L., Cianfrocco, M. A., DeSantis, M. E., Horiuchi, R., Higaki, T., et al. (2026) · eLife · doi:10.7554/elife.109308.3 · Cited by 3 · see citing works
Yu, L., Gong, Y., Song, H., Lang, L., Yu, J., Ma, Y., Qu, Z., Zhang, X., Zou, X., Zhang, C., et al. (2025) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2025.120034 · Cited by 3 · see citing works
Confined migration: Microtubules control the cell rear
Théry, M., & Akhmanova, A. S. (2024) · Current Biology · doi:10.1016/j.cub.2024.06.045 · Cited by 2 · see citing works
Self-citationAlzheimer’s disease–implicated protein tau puts the squeeze on microtubules
(2022) · Nature Chemical Biology · doi:10.1038/s41589-022-01097-1 · Cited by 2 · see citing works
Hotta, T., Pimm, M. L., Thomas, E. C., Yue, Y., DeLear, P. R., Blasius, T. L., Cianfrocco, M. A., DeSantis, M. E., Horiuchi, R., Higaki, T., et al. (2025) · eLife · doi:10.7554/elife.109308 · Cited by 2 · see citing works
Khushalani, D. M., Kar, J., Nayak, S. B., Chaudhary, S. C., & Mohan, N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.07.680844 · Cited by 1 · see citing works
Hotta, T., Pimm, M. L., Thomas, E. C., Yue, Y., DeLear, P. R., Blasius, T. L., Cianfrocco, M. A., DeSantis, M. E., Horiuchi, R., Higaki, T., et al. (2025) · eLife · doi:10.7554/elife.109308.1 · Cited by 1 · see citing works
Meiring, J. C. M., Mahapatra, V., Liu, R., Gravett, M. S. C., Morren, D., Saunders, H. A. J., Choi, S. R., Pelster José, A., Karhanova, A., Metallidou, I., et al. (2026) · Nature Cell Biology · doi:10.1038/s41556-026-02079-4
Self-citationBodakuntla, S., Marelli, J., Vasquez-Montes, V., Glauser, S., Biertümpfel, C., & Mizuno, N. (2026) · Nature Communications · doi:10.1038/s41467-026-77741-4
Sahoo, A. K., & Hanson, S. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.29.596440
Meiring, J. C. M., Mahapatra, V., Gravett, M. S. C., Morren, D., Saunders, H. A. J., Choi, S. R., Jose, A. P., Karhanova, A., Metallidou, I., Moore, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.20.695343
Self-citationHotta, T., Pimm, M. L., Thomas, E. C., Yue, Y., DeLear, P. R., Blasius, L., Cianfrocco, M. A., DeSantis, M. E., Horiuchi, R., Higaki, T., et al. (2026) · eLife · doi:10.7554/elife.109308.2
SPACA9 and MNMIP1 bridge the seam of spermatid manchette microtubules
Judernatz, J. H., Doroshev, S., Hoogebeen, R., Jonkers, S., Schweizer, D., Gravett, M. S. C., Bromfield, E. G., Howes, S. C., Akhmanova, A. S., Zhang, R., et al. (2026) · The EMBO Journal · doi:10.1038/s44318-026-00833-w · Cited by 1 · see citing works
Self-citationPrimary cilium disassembly – from mechanisms to roles in physiology and disease
Ott, C. M., Lippincott‐Schwartz, J., & Breslow, D. K. (2026) · Journal of Cell Science · doi:10.1242/jcs.264820
Cellular cartography: Towards an atlas of the neuronal microtubule cytoskeleton
Iwanski, M. K., & Kapitein, L. C. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1052245 · Cited by 38 · see citing works
Self-citation
- Authors
- de Jager, L., Jansen, K. I., Hoogebeen, R., Akhmanova, A., Kapitein, L. C., Förster, F., & Howes, S. C.
- Affiliations
- Bijvoet Centre for Biomolecular Research, Utrecht University 1 Structural Biochemistry, Department of Chemistry, , Utrecht,
- Utrecht University (NL)
- Corresponding author
- Kapitein, Lukas C.
- Förster, Friedrich
- Howes, Stuart C.
- ORCID
- Venue
- Journal of Cell Biology
- Publisher
- Rockefeller University Press
- Published
- 2024-10-10
- Volume
- 224
- Issue
- 1
- ISSN
- 0021-9525 (ISSN-L)
- 1540-8140
- PMC
- PMC11471893
- OpenAlex
- W4403284162
- Semantic Scholar
- 8711822ece3879d82731d62d6f57e2d71715d455
- Cited by
- 25
- References
- 80
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 4 · 2023: 6 · 2022: 1
- FWCI
- 4.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Cell Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Funders
- European Research Council (724425, 819219)
- Dutch Research Council (184.034.014, 022.006.001, OCENW.XL21.XL21.048)
- Netherlands Electron Microscopy Infrastructure (84.034.014)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Microtubule and mitosis dynamics
- Health Sciences › Medicine › Oncology › Cancer Treatment and Pharmacology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
- Keywords
- microtubule lattice, lattice spacing, microtubule stability, paclitaxel, microtubule-associated proteins, microtubule dynamics, cryo-electron tomography
- MeSH terms
- Animals, Humans, Microtubule-Associated Proteins, Microtubules, Tubulin, Paclitaxel, Cryoelectron Microscopy, Electron Microscope Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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