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Cited by 782

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Structural Insights into Microtubule Function

Nogales, Eva·2000·Annual Review of Biochemistry

Abstract

▪ Abstract Microtubules are polymers that are essential for, among other functions, cell transport and cell division in all eukaryotes. The regulation of the microtubule system includes transcription of different tubulin isotypes, folding of α/β-tubulin heterodimers, post-translation modification of tubulin, and nucleotide-based microtubule dynamics, as well as interaction with numerous microtubule-associated proteins that are themselves regulated. The result is the precise temporal and spatial pattern of microtubules that is observed throughout the cell cycle. The recent high-resolution analysis of the structure of tubulin and the microtubule has brought new insight to the study of microtubule function and regulation, as well as the mode of action of antimitotic drugs that disrupt normal microtubule behavior. The combination of structural, genetic, biochemical, and biophysical data should soon give us a fuller understanding of the exquisite details in the regulation of the microtubule cytoskeleton.

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Crossref · 10.1146/annurev.biochem.69.1.277

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Metadata

Authors
Nogales, E.
Venue
Annual Review of Biochemistry
Published
2000-06
Volume
69
Issue
1
Pages
277-302
ISSN
  • 0066-4154 (ISSN-L)
  • 1545-4509
OpenAlex
W2105615050
Cited by
782
References
7
FWCI
1.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Structural Insights into Microtubule Function. https://app.cochat.ai/papers/10.1146/annurev.biochem.69.1.277
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Nogales, E. (2000). Structural Insights into Microtubule Function. Annual Review of Biochemistry. https://doi.org/10.1146/annurev.biochem.69.1.277

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.