Evidence map›Paper›PMID 34841089›Full record

ArticleCommunications physics2021

Quantifying cell-generated forces: Poisson's ratio matters.

Yousef Javanmardi, Huw Colin-York, Nicolas Szita, Marco Fritzsche, Emad Moeendarbary

Open access · goldAbstract read
In one paragraph

Article in Communications physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 48 citations in OpenAlex.

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  12. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
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  14. iMaterials today. Bio · 2024
    Article
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  18. Optimal mechanical interactions direct multicellular network formation on elastic substrates.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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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

5 authors at 2 institutions in 2 countries.

Yousef Javanmardi *Department of Mechanical Engineering, University College London, London WC1E 7JE, UK.
Huw Colin-York *Kennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK.ORCID 0000-0002-6585-3237
Nicolas SzitaDepartment of Biochemical Engineering, University College London, London WC1E 6BT, UK.
Marco FritzscheKennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK.
Emad MoeendarbaryDepartment of Mechanical Engineering, University College London, London WC1E 7JE, UK.ORCID 0000-0002-7019-3907
University College London · GBUniversity of Oxford · GB

Funding

Wellcome Trust 212343
6 · The paper itself

Abstract

Quantifying mechanical forces generated by cellular systems has led to key insights into a broad range of biological phenomena from cell adhesion to immune cell activation. Traction force microscopy (TFM), the most widely employed force measurement methodology, fundamentally relies on knowledge of the force-displacement relationship and mechanical properties of the substrate. Together with the elastic modulus, the Poisson's ratio is a basic material property that to date has largely been overlooked in TFM. Here, we evaluate the sensitivity of TFM to Poisson's ratio by employing a series of computer simulations and experimental data analysis. We demonstrate how applying the correct Poisson's ratio is important for accurate force reconstruction and develop a framework for the determination of error levels resulting from the misestimation of the Poisson's ratio. In addition, we provide experimental estimation of the Poisson's ratios of elastic substrates commonly applied in TFM. Our work thus highlights the role of Poisson's ratio underpinning cellular force quantification studied across many biological systems.

Identifiers

PMID34841089
PMCPMC7612038
OpenAlexW3210914731

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.