Evidence map›Paper›PMID 35459276›Full record

ArticleNature communications2022

Generic self-stabilization mechanism for biomolecular adhesions under load.

Andrea Braeutigam, Ahmet Nihat Simsek, Gerhard Gompper, Benedikt Sabass

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Review
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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 at 1 institution in 1 country.

Andrea BraeutigamTheoretical Physics of Living Matter, Institute for Biological Information Processes, Forschungszentrum Jülich, 52425, Jülich, Germany.ORCID 0000-0003-3725-9385
Ahmet Nihat SimsekTheoretical Physics of Living Matter, Institute for Biological Information Processes, Forschungszentrum Jülich, 52425, Jülich, Germany.
Gerhard GompperTheoretical Physics of Living Matter, Institute for Biological Information Processes, Forschungszentrum Jülich, 52425, Jülich, Germany.ORCID 0000-0002-8904-0986
Benedikt SabassTheoretical Physics of Living Matter, Institute for Biological Information Processes, Forschungszentrum Jülich, 52425, Jülich, Germany. b.sabass@lmu.de.ORCID 0000-0002-7769-8043
Forschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical loading generally weakens adhesive structures and eventually leads to their rupture. However, biological systems can adapt to loads by strengthening adhesions, which is essential for maintaining the integrity of tissue and whole organisms. Inspired by cellular focal adhesions, we suggest here a generic, molecular mechanism that allows adhesion systems to harness applied loads for self-stabilization through adhesion growth. The mechanism is based on conformation changes of adhesion molecules that are dynamically exchanged with a reservoir. Tangential loading drives the occupation of some states out of equilibrium, which, for thermodynamic reasons, leads to association of further molecules with the cluster. Self-stabilization robustly increases adhesion lifetimes in broad parameter ranges. Unlike for catch-bonds, bond rupture rates can increase monotonically with force. The self-stabilization principle can be realized in many ways in complex adhesion-state networks; we show how it naturally occurs in cellular adhesions involving the adaptor proteins talin and vinculin.

Indexed as

Focal AdhesionsTalinCell AdhesionMechanical PhenomenaVinculinTalinVinculin

Identifiers

PMID35459276
PMCPMC9033785
OpenAlexW3180884511

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.