Evidence map›Paper›PMID 28628082›Full record

ReviewNature cell biology2017

Quantifying forces in cell biology.

Pere Roca-Cusachs, Vito Conte, Xavier Trepat

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 225 papers.

0numbers the graph read from it
0cells of the map it votes in
225citing 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

225 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Forces in mechanically interlocked materials.Chemical Society reviews · 2026
    Review
  7. Biophysics of lumen morphogenesis.Development (Cambridge, England) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Mechanical cues regulateMaterials today. Bio · 2026
    Article
  15. Review
  16. Traction Force Microscopy with DNA FluoroCubes.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

165 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

3 authors.

Pere Roca-CusachsInstitute for Bioengineering of Catalonia, Barcelona 08028, Spain.ORCID http://orcid.org/0000-0001-6947-961X
Vito ConteInstitute for Bioengineering of Catalonia, Barcelona 08028, Spain.ORCID http://orcid.org/0000-0002-7439-2866
Xavier TrepatInstitute for Bioengineering of Catalonia, Barcelona 08028, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells exert, sense, and respond to physical forces through an astounding diversity of mechanisms. Here we review recently developed tools to quantify the forces generated by cells. We first review technologies based on sensors of known or assumed mechanical properties, and discuss their applicability and limitations. We then proceed to draw an analogy between these human-made sensors and force sensing in the cell. As mechanics is increasingly revealed to play a fundamental role in cell function we envisage that tools to quantify physical forces may soon become widely applied in life-sciences laboratories.

Indexed as

Biosensing TechniquesCell BiologyMechanotransduction, CellularAnimalsBiomechanical PhenomenaCell MembraneCytoskeletonHumansMicroscopyModels, BiologicalSingle-Cell AnalysisStress, Mechanical

Identifiers

PMID28628082

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.