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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Physical Properties Determining Self-Organization of Motors and Microtubules

Surrey, Thomas, Nédélec, François, Leibler, Stanislas, Karsenti, Eric·2001·Science

Abstract

In eukaryotic cells, microtubules and their associated motor proteins can be organized into various large-scale patterns. Using a simplified experimental system combined with computer simulations, we examined how the concentrations and kinetic parameters of the motors contribute to their collective behavior. We observed self-organization of generic steady-state structures such as asters, vortices, and a network of interconnected poles. We identified parameter combinations that determine the generation of each of these structures. In general, this approach may become useful for correlating the morphogenetic phenomena taking place in a biological system with the biophysical characteristics of its constituents.

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Crossref · 10.1126/science.1059758

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Metadata

Authors
Surrey, T., Nédélec, F., Leibler, S., & Karsenti, E.
Venue
Science
Published
2001-05-11
Volume
292
Issue
5519
Pages
1167-1171
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2029189987
Cited by
616
References
4
FWCI
4.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Physical Properties Determining Self-Organization of Motors and Microtubules. https://app.cochat.ai/papers/10.1126/science.1059758
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Surrey, T., Nédélec, F., Leibler, S., & Karsenti, E. (2001). Physical Properties Determining Self-Organization of Motors and Microtubules. Science. https://doi.org/10.1126/science.1059758

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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.