Evidence map›Paper›PMID 22339876›Full record

ArticleBiophysical journal2012

Mechanosensing in T lymphocyte activation.

Edward Judokusumo, Erdem Tabdanov, Sudha Kumari, Michael L Dustin, Lance C Kam

Abstract read
In one paragraph

Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers.

0numbers the graph read from it
0cells of the map it votes in
183citing 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

183 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Sono-Mechanogenetics: Linking Ultrasound Physics With Cellular Mechanobiology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
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  11. Article
  12. Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

123 more citing papers are in PubMed but not listed here.

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.

Edward JudokusumoDepartment of Biomedical Engineering, Columbia University, New York, New York, USA.
Erdem Tabdanov
Sudha Kumari
Michael L Dustin
Lance C Kam

Funding

Nanomedicine development center for mechanobiologyPN2EY016586 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DUSTIN, MICHAEL LORAN · 2005 to 2014
$23.0M
Spatial coordination of CD28 and TCR signalingR01AI088377 · NIAID · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI KAM, LANCE C · 2010 to 2013
$1.3M
NEI NIH HHS PN2 EY016586NIAID NIH HHS R01 AI088377NIAID NIH HHS R01AI088377
6 · The paper itself

Abstract

Mechanical forces play an increasingly recognized role in modulating cell function. This report demonstrates mechanosensing by T cells, using polyacrylamide gels presenting ligands to CD3 and CD28. Naive CD4 T cells exhibited stronger activation, as measured by attachment and secretion of IL-2, with increasing substrate elastic modulus over the range of 10-200 kPa. By presenting these ligands on different surfaces, this report further demonstrates that mechanosensing is more strongly associated with CD3 rather than CD28 signaling. Finally, phospho-specific staining for Zap70 and Src family kinase proteins suggests that sensing of substrate rigidity occurs at least in part by processes downstream of T-cell receptor activation. The ability of T cells to quantitatively respond to substrate rigidly provides an intriguing new model for mechanobiology.

Indexed as

Mechanical PhenomenaMechanotransduction, CellularAcrylic ResinsAnimalsAntibodiesAntigen-Presenting CellsBiomechanical PhenomenaCD28 AntigensCD3 ComplexCD4-Positive T-LymphocytesMicePolyacrylamidesAcrylic ResinsAntibodiesCD28 AntigensCD3 ComplexPolyacrylamides

Identifiers

PMID22339876
PMCPMC3260692

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.