Evidence map›Paper›PMID 26701905›Full record

ArticleeLife2015

Active contraction of microtubule networks.

Peter J Foster, Sebastian Fürthauer, Michael J Shelley, Daniel J Needleman

Open access · goldAbstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
11.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 138 citations in OpenAlex.

  1. Energetic gradients emerge in developing motor-microtubule structures.bioRxiv : the preprint server for biology · 2026
    Article
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  5. Motor-driven microtubule diffusion in a photobleached dynamical coordinate system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Microscopic interactions control a structural transition in active mixtures of microtubules and molecular motors.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
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  15. Dissipation and energy propagation across scales in an active cytoskeletal material.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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  18. Review
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  20. Cross-linker design determines microtubule network organization by opposing motors.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Peter J FosterJohn A. Paulson School of Engineering and Applied Sciences, FAS Center for Systems Biology, Harvard University, Cambridge, United States.ORCID http://orcid.org/0000-0003-1818-5886
Sebastian FürthauerCourant Institute of Mathematical Science, New York University, New York, United States.
Michael J ShelleyCourant Institute of Mathematical Science, New York University, New York, United States.
Daniel J NeedlemanJohn A. Paulson School of Engineering and Applied Sciences, FAS Center for Systems Biology, Harvard University, Cambridge, United States.
Harvard University · USCourant Institute of Mathematical Sciences · US

Funding

Understanding mitotic spindle positioning by integrated modeling and experimentR01GM104976 · NIGMS · NEW YORK UNIVERSITY · PI SHELLEY, MICHAEL · 2012 to 2015
$1.6M
NIGMS NIH HHS 1R01GM104976-01NIGMS NIH HHS R01 GM104976
6 · The paper itself

Abstract

Many cellular processes are driven by cytoskeletal assemblies. It remains unclear how cytoskeletal filaments and motor proteins organize into cellular scale structures and how molecular properties of cytoskeletal components affect the large-scale behaviors of these systems. Here, we investigate the self-organization of stabilized microtubules in Xenopus oocyte extracts and find that they can form macroscopic networks that spontaneously contract. We propose that these contractions are driven by the clustering of microtubule minus ends by dynein. Based on this idea, we construct an active fluid theory of network contractions, which predicts a dependence of the timescale of contraction on initial network geometry, a development of density inhomogeneities during contraction, a constant final network density, and a strong influence of dynein inhibition on the rate of contraction, all in quantitative agreement with experiments. These results demonstrate that the motor-driven clustering of filament ends is a generic mechanism leading to contraction.

Indexed as

AnimalsDyneinsMicrotubule-Associated ProteinsMicrotubulesOocytesProtein MultimerizationXenopusDyneinsMicrotubule-Associated Proteinsactive matterbiophysicscomputational biologycytoskeletondyneinmicrotubulesstructural biologysystems biologyxenopus

Identifiers

PMID26701905
PMCPMC4764591
OpenAlexW2248624084

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.