Evidence map›Paper›PMID 38994232›Full record

ArticlePhysical review. X

Discontinuous Shear Thickening in Biological Tissue Rheology.

Michael J Hertaeg, Suzanne M Fielding, Dapeng Bi

Abstract read
In one paragraph

Article in Physical review. X. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Michael J HertaegDepartment of Physics, Durham University, Science Laboratories, South Road, Durham DH1 3LE, United Kingdom.ORCID 0000-0002-8156-104X
Suzanne M FieldingDepartment of Physics, Durham University, Science Laboratories, South Road, Durham DH1 3LE, United Kingdom.ORCID 0000-0003-1989-0851
Dapeng BiDepartment of Physics, Northeastern University, Massachusetts 02115, USA.ORCID 0000-0003-4850-8666

Funding

Integrative biophysical modeling for collective tissue mechanicsR35GM150494 · NIGMS · NORTHEASTERN UNIVERSITY · PI DAPENG BI · 2023 to 2026
$1.6M
NIGMS NIH HHS R35 GM150494
6 · The paper itself

Abstract

During embryonic morphogenesis, tissues undergo dramatic deformations in order to form functional organs. Similarly, in adult animals, living cells and tissues are continually subjected to forces and deformations. Therefore, the success of embryonic development and the proper maintenance of physiological functions rely on the ability of cells to withstand mechanical stresses as well as their ability to flow in a collective manner. During these events, mechanical perturbations can originate from active processes at the single-cell level, competing with external stresses exerted by surrounding tissues and organs. However, the study of tissue mechanics has been somewhat limited to either the response to external forces or to intrinsic ones. In this work, we use an active vertex model of a 2D confluent tissue to study the interplay of external deformations that are applied globally to a tissue with internal active stresses that arise locally at the cellular level due to cell motility. We elucidate, in particular, the way in which this interplay between globally external and locally internal active driving determines the emergent mechanical properties of the tissue as a whole. For a tissue in the vicinity of a solid-fluid jamming or unjamming transition, we uncover a host of fascinating rheological phenomena, including yielding, shear thinning, continuous shear thickening, and discontinuous shear thickening. These model predictions provide a framework for understanding the recently observed nonlinear rheological behaviors

Indexed as

Biological PhysicsSoft MatterStatistical Physics

Identifiers

PMID38994232
PMCPMC11238743

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.