Evidence map›Paper›PMID 26855753›Full record

ArticleInterface focus2016

A chemo-mechanical free-energy-based approach to model durotaxis and extracellular stiffness-dependent contraction and polarization of cells.

Vivek B Shenoy, Hailong Wang, Xiao Wang

Open access · bronzeAbstract read
In one paragraph

Article in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
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  5. Models of Cellular Mechanosensation.Results and problems in cell differentiation · 2026
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  9. Deep learning reveals how cells pull, buckle, and navigate fibrous environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Fiber recruitment drives a phase transition of cell polarization at a critical cell spacing in matrix-mediated tissue remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Cell-matrix feedback controls stretch-induced cellular memory and fibroblast activation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
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  20. 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

3 authors at 1 institution in 1 country.

Vivek B ShenoyDepartment of Materials Science and Engineering , University of Pennsylvania , Philadelphia, PA 19104 , USA.
Hailong WangDepartment of Materials Science and Engineering , University of Pennsylvania , Philadelphia, PA 19104 , USA.
Xiao WangDepartment of Materials Science and Engineering , University of Pennsylvania , Philadelphia, PA 19104 , USA.
Google (United States) · US

Funding

PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
Pathological consequences of altered tissue mechanics in fibrosisR01EB017753 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JANMEY, PAUL A, SHENOY, VIVEK · 2014 to 2025
$6.3M
NCI NIH HHS U54 CA193417NIBIB NIH HHS R01 EB017753
6 · The paper itself

Abstract

We propose a chemo-mechanical model based on stress-dependent recruitment of myosin motors to describe how the contractility, polarization and strain in cells vary with the stiffness of their surroundings and their shape. A contractility tensor, which depends on the distribution of myosin motors, is introduced to describe the chemical free energy of the cell due to myosin recruitment. We explicitly include the contributions to the free energy that arise from mechanosensitive signalling pathways (such as the SFX, Rho-Rock and MLCK pathways) through chemo-mechanical coupling parameters. Taking the variations of the total free energy, which consists of the chemical and mechanical components, in accordance with the second law of thermodynamics provides equations for the temporal evolution of the active stress and the contractility tensor. Following this approach, we are able to recover the well-known Hill relation for active stresses, based on the fundamental principles of irreversible thermodynamics rather than phenomenology. We have numerically implemented our free energy-based approach to model spatial distribution of strain and contractility in (i) cells supported by flexible microposts, (ii) cells on two-dimensional substrates, and (iii) cells in three-dimensional matrices. We demonstrate how the polarization of the cells and the orientation of stress fibres can be deduced from the eigenvalues and eigenvectors of the contractility tensor. Our calculations suggest that the chemical free energy of the cell decreases with the stiffness of the extracellular environment as the cytoskeleton polarizes in response to stress-dependent recruitment of molecular motors. The mechanical energy, which includes the strain energy and motor potential energy, however, increases with stiffness, but the overall energy is lower for cells in stiffer environments. This provides a thermodynamic basis for durotaxis, whereby cells preferentially migrate towards stiffer regions of the extracellular environment. Our models also explain, from an energetic perspective, why the shape of the cells can change in response to stiffness of the surroundings. The effect of the stiffness of the nucleus on its shape and the orientation of the stress fibres is also studied for all the above geometries. Along with making testable predictions, we have estimated the magnitudes of the chemo-mechanical coupling parameters for myofibroblasts based on data reported in the literature.

Indexed as

cell mechanicscontractilitydurotaxis

Identifiers

PMID26855753
PMCPMC4686242
OpenAlexW2269083653

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.