Evidence map›Paper›PMID 32671813›Full record

ReviewBiophysical reviews2020

Cell shape: effects on gene expression and signaling.

Payam Haftbaradaran Esfahani, Ralph Knöll

Open access · hybridAbstract readReview
In one paragraph

Review in Biophysical reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.2field-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

26 citing papers in PubMed, 57 citations in OpenAlex.

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  8. Geometrical compartmentalization of trigger waves.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Epithelial dynamics during early mouse development.Current opinion in genetics & development · 2022
    Review
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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

2 authors at 1 institution in 3 countries.

Payam Haftbaradaran EsfahaniICMC (Integrated Cardio Metabolic Centre), Myocardial Genetics, Heart and Vascular Theme, Karolinska Institutet, University Hospital, Novum, Hiss A, våning 7, Hälsovägen 7-9, 141 57, Huddinge, Sweden.ORCID http://orcid.org/0000-0002-7934-0432
Ralph KnöllICMC (Integrated Cardio Metabolic Centre), Myocardial Genetics, Heart and Vascular Theme, Karolinska Institutet, University Hospital, Novum, Hiss A, våning 7, Hälsovägen 7-9, 141 57, Huddinge, Sweden. ralph.knoell@astrazeneca.com.ORCID https://orcid.org/0000-0001-8871-112X
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The perception of biophysical forces (mechanosensation) and their conversion into chemical signals (mechanotransduction) are fundamental biological processes. They are connected to hypertrophic and atrophic cellular responses, and defects in these processes have been linked to various diseases, especially in the cardiovascular system. Although cardiomyocytes generate, and are exposed to, considerable hemodynamic forces that affect their shapes, until recently, we did not know whether cell shape affects gene expression. However, new single-cell trapping strategies, followed by single-cell RNA sequencing, to profile the transcriptomes of individual cardiomyocytes of defined geometrical morphotypes have been developed that are characteristic for either normal or pathological (afterload or preload) conditions. This paper reviews the recent literature with regard to cell shape and the transcriptome and provides an overview of this newly emerging field, which has far-reaching implications for both biology, disease, and possibly therapy.

Indexed as

Cell geometry,Cell shape,Gene expression,Heart failure,Mechanosensation,Mechanotransduction

Identifiers

PMID32671813
PMCPMC7429604
OpenAlexW3042756573

What OpenQuestion 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 OpenQuestion graph.