Evidence map›Paper›PMID 31013252›Full record

ArticlePhysical biology2019

Effects of spatial dimensionality and steric interactions on microtubule-motor self-organization.

Jamie Rickman, François Nédélec, Thomas Surrey

Abstract read
In one paragraph

Article in Physical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Mitochondrial mechanics nucleates axonal jamming and swelling.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Molecular design principles for bipolar spindle organization by two opposing motors.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. 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
  7. Review
  8. Article
  9. Mimicking Sub-Structures Self-Organization in Microtubules.Biomimetics (Basel, Switzerland) · 2019
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jamie RickmanThe Francis Crick Institute, 1 Midland Road, London NW1 1AT, United Kingdom. Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, University College London, London WC1 6BT, United Kingdom.
François Nédélec
Thomas Surrey

Funding

Cancer Research UK FC001163Medical Research Council FC001163Wellcome TrustWellcome Trust FC001163
6 · The paper itself

Abstract

Active networks composed of filaments and motor proteins can self-organize into a variety of architectures. Computer simulations in two or three spatial dimensions and including or omitting steric interactions between filaments can be used to model active networks. Here we examine how these modelling choices affect the state space of network self-organization. We compare the networks generated by different models of a system of dynamic microtubules and microtubule-crosslinking motors. We find that a thin 3D model that includes steric interactions between filaments is the most versatile, capturing a variety of network states observed in recent experiments. In contrast, 2D models either with or without steric interactions which prohibit microtubule crossings can produce some, but not all, observed network states. Our results provide guidelines for the most appropriate choice of model for the study of different network types and elucidate mechanisms of active network organization.

Indexed as

Computer SimulationCross-Linking ReagentsCytoskeletonMicrotubulesMolecular Motor ProteinsProtein MultimerizationSignal TransductionCross-Linking ReagentsMolecular Motor Proteins

Identifiers

PMID31013252
PMCPMC7655122

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.