Evidence map›Paper›PMID 36330322›Full record

ReviewInterface focus2022

How dynamic prestress governs the shape of living systems, from the subcellular to tissue scale.

Alexander Erlich, Jocelyn Étienne, Jonathan Fouchard, Tom Wyatt

Abstract readReview
In one paragraph

Review in Interface focus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alexander ErlichUniversité Grenoble Alpes, CNRS, LIPHY, 38000 Grenoble, France.ORCID 0000-0002-2294-1894
Jocelyn ÉtienneUniversité Grenoble Alpes, CNRS, LIPHY, 38000 Grenoble, France.ORCID 0000-0002-1866-5604
Jonathan FouchardLaboratoire de Biologie du Développement, Institut de Biologie Paris Seine (IBPS), Sorbonne Université, CNRS (UMR 7622), INSERM (URL 1156), 7 quai Saint Bernard, 75005 Paris, France.ORCID 0000-0002-9976-462X
Tom WyattWellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-2589-2370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells and tissues change shape both to carry out their function and during pathology. In most cases, these deformations are driven from within the systems themselves. This is permitted by a range of molecular actors, such as active crosslinkers and ion pumps, whose activity is biologically controlled in space and time. The resulting stresses are propagated within complex and dynamical architectures like networks or cell aggregates. From a mechanical point of view, these effects can be seen as the generation of prestress or prestrain, resulting from either a contractile or growth activity. In this review, we present this concept of prestress and the theoretical tools available to conceptualize the statics and dynamics of living systems. We then describe a range of phenomena where prestress controls shape changes in biopolymer networks (especially the actomyosin cytoskeleton and fibrous tissues) and cellularized tissues. Despite the diversity of scale and organization, we demonstrate that these phenomena stem from a limited number of spatial distributions of prestress, which can be categorized as heterogeneous, anisotropic or differential. We suggest that in addition to growth and contraction, a third type of prestress-topological prestress-can result from active processes altering the microstructure of tissue.

Indexed as

actomyosinanelasticitycontractilitygrowthliving tissuesprestress

Identifiers

PMID36330322
PMCPMC9560792

What OpenQuestion holds

Textmetadata
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.