Evidence map›Paper›PMID 38272198›Full record

ArticleActa biomaterialia2024

Unexpected softening of a fibrous matrix by contracting inclusions.

Mainak Sarkar, Brian M Burkel, Suzanne M Ponik, Jacob Notbohm

Open access · hybridAbstract read
In one paragraph

Article in Acta biomaterialia, 2024. 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
2.9field-weighted citation impact, top 10% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  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 at 1 institution in 1 country.

Mainak SarkarDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Brian M BurkelDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA.
Suzanne M PonikDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA.
Jacob NotbohmDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA. Electronic address: jknotbohm@wisc.edu.
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
TECH CoreU54CA268069 · NCI · UNIVERSITY OF MINNESOTA · PI David J. Odde · 2022 to 2026
$8.2M
Matrix density promotes pro-tumorigenic hormone actions in breast cancerR01CA179556 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI PONIK, SUZANNE MARIE, SCHULER, LINDA A. · 2014 to 2024
$4.9M
Exosome secretion in breast cancer progressionR01CA206458 · NCI · VANDERBILT UNIVERSITY · PI PONIK, SUZANNE MARIE, WEAVER, ALISSA M · 2016 to 2025
$4.6M
An Upright Multiphoton Microscopy System to Support the Biomedical SciencesS10OD025040 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI AUDHYA, ANJON · 2018 to 2018
$597k
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA179556NCI NIH HHS R01 CA206458NCI NIH HHS U54 CA268069NIH HHS S10 OD025040
6 · The paper itself

Abstract

Cells respond to the stiffness of their surrounding environment, but quantifying the stiffness of a fibrous matrix at the scale of a cell is complicated, due to the effects of nonlinearity and complex force transmission pathways resulting from randomness in fiber density and connections. While it is known that forces produced by individual contractile cells can stiffen the matrix, it remains unclear how simultaneous contraction of multiple cells in a fibrous matrix alters the stiffness at the scale of a cell. Here, we used computational modeling and experiments to quantify the stiffness of a random fibrous matrix embedded with multiple contracting inclusions, which mimicked the contractile forces of a cell. The results showed that when the matrix was free to contract as a result of the forces produced by the inclusions, the matrix softened rather than stiffened, which was surprising given that the contracting inclusions applied tensile forces to the matrix. Using the computational model, we identified that the underlying cause of the softening was that the majority of the fibers were under a local state of axial compression, causing buckling. We verified that this buckling-induced matrix softening was sufficient for cells to sense and respond by altering their morphology and force generation. Our findings reveal that the localized forces induced by cells do not always stiffen the matrix; rather, softening can occur in instances wherein the matrix can contract in response to the cell-generated forces. This study opens up new possibilities to investigate whether cell-induced softening contributes to maintenance of homeostatic conditions or progression of disease. STATEMENT OF SIGNIFICANCE: Mechanical interactions between cells and the surrounding matrix strongly influence cellular functions. Cell-induced forces can alter matrix properties, and much prior literature in this area focused on the influence of individual contracting cells. Cells in tissues are rarely solitary; rather, they are interspersed with neighboring cells throughout the matrix. As a result, the mechanics are complicated, leaving it unclear how the multiple contracting cells affect matrix stiffness. Here, we show that multiple contracting inclusions within a fibrous matrix can cause softening that in turn affects cell sensing and response. Our findings provide new directions to determine impacts of cell-induced softening on maintenance of tissue or progression of disease.

Indexed as

Extracellular MatrixMechanical PhenomenaComputer SimulationPhysical PhenomenaPressureBucklingCell–matrix interactionExtracellular matrixFiber networkStiffness

Identifiers

PMID38272198
PMCPMC10948310
OpenAlexW4391133161

What OpenQuestion holds

Textmetadata
LicenceTDM
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.