Evidence map›Paper›PMID 41727592›Full record

ArticleResearch square2026

A Computational Model of Mechanical Stretching of Cultured Cells on a Flexible Membrane.

Miles W Massidda, David Ashirov, Andrei Demkov, Aidan Sices, Aaron B Baker

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Miles W MassiddaUniversity of Texas at Austin.
David AshirovUniversity of Texas at Austin.
Andrei DemkovUniversity of Texas at Austin.
Aidan SicesUniversity of Texas at Austin.
Aaron B BakerUniversity of Texas at Austin.

Funding

Mechanical Conditioning of Mesenchymal Stem Cells for Enhanced Recellularized Vascular GraftsR01HL141761 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI BAKER, AARON BLAIR · 2018 to 2021
$1.6M
Syndecan-1 in Mechanosensing of Engineered MicroenvironmentsR21EB023551 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI BAKER, AARON BLAIR · 2017 to 2018
$450k
Glycocalyx Mimetic Polysaccharides as Therapeutics for AtherosclerosisR21EB024147 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI BAKER, AARON BLAIR · 2017 to 2018
$430k
NHLBI NIH HHS R01 HL141761NIBIB NIH HHS R21 EB023551NIBIB NIH HHS R21 EB024147
6 · The paper itself

Abstract

In this study, we developed a computational model of a cell being stretched on a flexible membrane, a configuration that matches many in vitro experimental systems studying the effects of mechanical stretch on cultured cells. Using this model, we explored the complex patterns of stresses and strains present in the cell during dynamic stretching. We linked these intracellular stresses to a simple model of chromatin deformation to provide a rough estimate of chromatin reconfiguration resulting from nuclear strain. Together, this multiscale model of cell stretching offers a first-order approximation of cellular strain responses to dynamic substrate deformation. Our simulations identified an optimal range of applied strain that induces chromatin distention without causing cellular damage. This computationally determined optimal strain range aligns with recent experimental findings from our laboratory, where the same strain levels were shown to maximize nuclear localization of Yap/Taz and reduce senescence in mesenchymal stem cells (MSCs). These results provide a computational framework for understanding cellular responses to mechanical stimuli, potentially optimizing experimental designs and advancing the understanding of mechanobiology in stem cell research and tissue engineering applications.

Indexed as

cellular mechanotransductionchromatin deformationcomputational cell modelingmechanical stretchmechanobiologymesenchymal stem cellsmultiscale modelingsubstrate straintissue engineering

Identifiers

PMID41727592
PMCPMC12919192

What Socratic 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 Socratic graph.