Evidence map›Paper›PMID 35337714›Full record

ReviewTrends in cell biology2022

Integrating mechanical signals into cellular identity.

Emma Carley, Megan C King, Shangqin Guo

Abstract readReview
In one paragraph

Review in Trends in cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Stress transmission towards the nucleus of the cell.Frontiers in cell and developmental biology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Regulation of YAP Promotor Accessibility in Endothelial Mechanotransduction.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Article
  16. Article
  17. Review
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.

Emma CarleyDepartment of Cell Biology, Yale School of Medicine, New Haven, CT, USA.
Megan C KingDepartment of Cell Biology, Yale School of Medicine, New Haven, CT, USA; Department of Molecular, Cell and Developmental Biology, Yale University, New Haven, CT, USA. Electronic address: megan.king@yale.edu.
Shangqin GuoDepartment of Cell Biology, Yale School of Medicine, New Haven, CT, USA; Yale Stem Cell Center, New Haven, CT, USA. Electronic address: shangqin.guo@yale.edu.

Funding

Remodeling of the structure and function of the nuclear lamina by LINC complex-dependent tensionR01GM129308 · NIGMS · YALE UNIVERSITY · PI KING, MEGAN C · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM129308
6 · The paper itself

Abstract

The large arrays of cell types in a multicellular organism are defined by their stereotypic size and/or morphology, and, for cells in vivo, by their anatomic positions. Historically, this identity-structure-function correlation was conceptualized as arising from distinct gene expression programs that dictate how cells appear and behave. However, a growing number of studies suggest that a cell's mechanical state is also an important determinant of its identity, both in lineage-committed cells and in pluripotent stem cells. Defining the mechanism by which mechanical inputs influence complex cellular programs remains an area of ongoing investigation. Here, we discuss how the cytoskeleton actively participates in instructing the response of the nucleus and genome to integrate mechanical and biochemical inputs, with a primary focus on the role of the actomyosin-LINC (linker of nucleoskeleton and cytoskeleton) complex axis.

Indexed as

Cell NucleusCytoskeletonActomyosinHumansMechanotransduction, CellularMicrotubulesActomyosinactomyosin cytoskeletoncell identitychromatinLINC complexmechanotransductionreprogramming

Identifiers

PMID35337714
PMCPMC9288541

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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.