Evidence map›Paper›PMID 38995113›Full record

ReviewJournal of cell science2024

Mechanical regulation of lymphocyte activation and function.

Aashli Pathni, Kaustubh Wagh, Ivan Rey-Suarez, Arpita Upadhyaya

Abstract readReview
In one paragraph

Review in Journal of cell science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Aashli PathniBiological Sciences Graduate Program, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-4196-890X
Kaustubh WaghDepartment of Physics, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0001-8514-027X
Ivan Rey-SuarezInsitute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA.
Arpita UpadhyayaBiological Sciences Graduate Program, University of Maryland, College Park, MD 20742, USA.ORCID 0000-0003-1496-919X

Funding

Supplement request for Cellular mechanotransduction - from the immune response to transcriptional regulationR35GM145313 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI Arpita Upadhyaya · 2022 to 2026
$2.0M
National Science Foundation PHY 1915534NIGMS NIH HHS R35 GM145313NIH HHS R35 GM145313
6 · The paper itself

Abstract

Mechanosensing, or how cells sense and respond to the physical environment, is crucial for many aspects of biological function, ranging from cell movement during development to cancer metastasis, the immune response and gene expression driving cell fate determination. Relevant physical stimuli include the stiffness of the extracellular matrix, contractile forces, shear flows in blood vessels, complex topography of the cellular microenvironment and membrane protein mobility. Although mechanosensing has been more widely studied in non-immune cells, it has become increasingly clear that physical cues profoundly affect the signaling function of cells of the immune system. In this Review, we summarize recent studies on mechanical regulation of immune cells, specifically lymphocytes, and explore how the force-generating cytoskeletal machinery might mediate mechanosensing. We discuss general principles governing mechanical regulation of lymphocyte function, spanning from the molecular scale of receptor activation to cellular responses to mechanical stimuli.

Indexed as

Lymphocyte ActivationMechanotransduction, CellularAnimalsCytoskeletonHumansLymphocytesB lymphocytesCytoskeletal forcesMechanoimmunologyMechanosensingSignalingT lymphocytes

Identifiers

PMID38995113
PMCPMC11267459

What OpenQuestion holds

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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.