The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Effects of α-tubulin acetylation on microtubule structure and stability
Open accessAbstract
Acetylation of K40 in α-tubulin is the sole posttranslational modification to mark the luminal surface of microtubules. It is still controversial whether its relationship with microtubule stabilization is correlative or causative. We have obtained high-resolution cryo-electron microscopy (cryo-EM) reconstructions of pure samples of αTAT1-acetylated and SIRT2-deacetylated microtubules to visualize the structural consequences of this modification and reveal its potential for influencing the larger assembly properties of microtubules. We modeled the conformational ensembles of the unmodified and acetylated states by using the experimental cryo-EM density as a structural restraint in molecular dynamics simulations. We found that acetylation alters the conformational landscape of the flexible loop that contains αK40. Modification of αK40 reduces the disorder of the loop and restricts the states that it samples. We propose that the change in conformational sampling that we describe, at a location very close to the lateral contacts site, is likely to affect microtubule stability and function.
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Features and development of Coot
Emsley, P., Lohkamp, B., Scott, W. G., & Cowtan, K. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910007493 · Cited by 29,915
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation
Hess, B., Kutzner, C., van der Spoel, D., & Lindahl, E. (2008) · Journal of Chemical Theory and Computation · doi:10.1021/ct700301q · Cited by 15,908
MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy
Zheng, S. Q., Palovcak, E., Armache, J.-P., Verba, K. A., Cheng, Y., & Agard, D. A. (2017) · Nature Methods · doi:10.1038/nmeth.4193 · Cited by 7,777
PHENIX: a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2012) · International Tables for Crystallography · doi:10.1107/97809553602060000865 · Cited by 7,334
CHARMM36m: an improved force field for folded and intrinsically disordered proteins
Huang, J., Rauscher, S., Nawrocki, G., Ran, T., Feig, M., de Groot, B. L., Grubmüller, H., & MacKerell, A. D. (2017) · Nature Methods · doi:10.1038/nmeth.4067 · Cited by 7,285
Automated electron microscope tomography using robust prediction of specimen movements
Mastronarde, D. N. (2005) · Journal of Structural Biology · doi:10.1016/j.jsb.2005.07.007 · Cited by 5,336
CTFFIND4: Fast and accurate defocus estimation from electron micrographs
Rohou, A., & Grigorieff, N. (2015) · Journal of Structural Biology · doi:10.1016/j.jsb.2015.08.008 · Cited by 4,913
MDAnalysis: A toolkit for the analysis of molecular dynamics simulations
Michaud‐Agrawal, N., Denning, E. J., Woolf, T. B., & Beckstein, O. (2011) · Journal of Computational Chemistry · doi:10.1002/jcc.21787 · Cited by 4,486
CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data
Huang, J., & MacKerell, A. D. (2013) · Journal of Computational Chemistry · doi:10.1002/jcc.23354 · Cited by 4,430
Cited by
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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
Modulation of cellular processes by histone and non-histone protein acetylation
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Structure of the Decorated Ciliary Doublet Microtubule
Ma, M., Stoyanova, M., Rademacher, G., Dutcher, S. K., Brown, A., & Zhang, R. (2019) · Cell · doi:10.1016/j.cell.2019.09.030 · Cited by 290
Self-citationFerro, 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
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Metadata
- Authors
- Eshun-Wilson, L., Zhang, R., Portran, D., Nachury, M. V., Toso, D. B., Löhr, T., Vendruscolo, M., Bonomi, M., Fraser, J. S., & Nogales, E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2019-05-09
- Volume
- 116
- Issue
- 21
- Pages
- 10366-10371
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2909456234
- Cited by
- 361
- References
- 62
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
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