Evidence map›Paper›PMID 34627766›Full record

ArticleBiophysical journal2021

Dynamic self-reinforcement of gene expression determines acquisition of cellular mechanical memory.

Christopher C Price, Jairaj Mathur, Joel D Boerckel, Amit Pathak, Vivek B Shenoy

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

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  12. A Model of Epigenetic Inheritance Accounts for Unexpected Adaptation to Unforeseen Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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 1 country.

Christopher C PriceDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Jairaj MathurCenter for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri.
Joel D BoerckelCenter for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania.
Amit PathakCenter for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri. Electronic address: pathaka@wustl.edu.
Vivek B ShenoyDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Engineering Mechanobiology, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: vshenoy@seas.upenn.edu.
University of Pennsylvania · USWashington University in St. Louis · US

Funding

Studying E-cadherin dynamics during extravasation and metastatic colonizationU54CA261694 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ROGER D KAMM · 2021 to 2026
$9.1M
Pathological consequences of altered tissue mechanics in fibrosisR01EB017753 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JANMEY, PAUL A, SHENOY, VIVEK · 2014 to 2025
$6.3M
Research Supplement - Quantitative analyses of tumor cell extravasationU01CA202177 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2015 to 2020
$4.2M
An integrated approach to melanoma metastasis and therapy resistance: effects of age-related changes in the ECM and the biomechanics of the skinR01CA232256 · NCI · WISTAR INSTITUTE · PI CUKIERMAN, EDNA, RAJ, ARJUN · 2019 to 2023
$3.0M
Epithelial Cell Mechanobiology in Mechanically Heterogeneous MicroenvironmentsR35GM128764 · NIGMS · WASHINGTON UNIVERSITY · PI PATHAK, AMIT · 2018 to 2022
$2.2M
Osteoprogenitor mobilization for bone development and repairR01AR073809 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI BOERCKEL, JOEL D · 2019 to 2023
$1.7M
Integration of elasticity, viscosity, and plasticity in cellular mechanosensingR01EB030876 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHENOY, VIVEK · 2020 to 2023
$1.3M
NCI NIH HHS R01 CA232256NCI NIH HHS U54 CA261694NIAMS NIH HHS R01 AR073809NIBIB NIH HHS R01 EB017753NIBIB NIH HHS R01 EB030876NIGMS NIH HHS R35 GM128764
6 · The paper itself

Abstract

Mechanotransduction describes activation of gene expression by changes in the cell's physical microenvironment. Recent experiments show that mechanotransduction can lead to long-term "mechanical memory," in which cells cultured on stiff substrates for sufficient time (priming phase) maintain altered phenotype after switching to soft substrates (dissipation phase) as compared to unprimed controls. The timescale of memory acquisition and retention is orders of magnitude larger than the timescale of mechanosensitive cellular signaling, and memory retention time changes continuously with priming time. We develop a model that captures these features by accounting for positive reinforcement in mechanical signaling. The sensitivity of reinforcement represents the dynamic transcriptional state of the cell composed of protein lifetimes and three-dimensional chromatin organization. Our model provides a single framework connecting microenvironment mechanical history to cellular outcomes ranging from no memory to terminal differentiation. Predicting cellular memory of environmental changes can help engineer cellular dynamics through changes in culture environments.

Indexed as

Mechanotransduction, CellularReinforcement, PsychologyGene ExpressionPhenotype

Identifiers

PMID34627766
PMCPMC8633715
OpenAlexW3203818856

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.