Evidence map›Paper›PMID 34983201›Full record

ArticleJournal of the Royal Society, Interface2022

Active beating modes of two clamped filaments driven by molecular motors.

Laura Collesano, Isabella Guido, Ramin Golestanian, Andrej Vilfan

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Laura CollesanoMax Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen 37077, Germany.ORCID 0000-0002-3201-0479
Isabella GuidoMax Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen 37077, Germany.ORCID 0000-0002-1781-3767
Ramin GolestanianMax Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen 37077, Germany.ORCID 0000-0002-3149-4002
Andrej VilfanMax Planck Institute for Dynamics and Self-Organization (MPIDS), Göttingen 37077, Germany.ORCID 0000-0001-8985-6072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological cilia pump the surrounding fluid by asymmetric beating that is driven by dynein motors between sliding microtubule doublets. The complexity of biological cilia raises the question about minimal systems that can re-create similar patterns of motion. One such system consists of a pair of microtubules that are clamped at the proximal end. They interact through dynein motors that cover one of the filaments and pull against the other one. Here, we study theoretically the static shapes and the active dynamics of such a system. Using the theory of elastica, we analyse the shapes of two filaments of different lengths with clamped ends. Starting from equal lengths, we observe a transition similar to Euler buckling leading to a planar shape. When further increasing the length ratio, the system assumes a non-planar shape with spontaneously broken chiral symmetry after a secondary bifurcation and then transitions to planar again. The predicted curves agree with experimentally observed shapes of microtubule pairs. The dynamical system can have a stable fixed point, with either bent or straight filaments, or limit cycle oscillations. The latter match many properties of ciliary motility, demonstrating that a two-filament system can serve as a minimal actively beating model.

Indexed as

DyneinsModels, BiologicalCiliaCytoskeletonMicrotubulesDyneinsartificial ciliabuckling instabilitydyneinelastic filamentsmicrotubulesmolecular motors

Identifiers

PMID34983201
PMCPMC8728166

What OpenQuestion holds

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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.