Evidence map›Paper›PMID 35351517›Full record

ReviewThe Journal of biological chemistry2022

A primer to traction force microscopy.

Andrea Zancla, Pamela Mozetic, Monica Orsini, Giancarlo Forte, Alberto Rainer

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Traction Force Microscopy with DNA FluoroCubes.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Uncertainty-aware traction force microscopy.PLoS computational biology · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Exploiting Matrix Stiffness to Overcome Drug Resistance.ACS biomaterials science & engineering · 2024
    Review
  19. Article
  20. 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

5 authors.

Andrea ZanclaDepartment of Engineering, Università degli Studi Roma Tre, Rome, Italy; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Pamela MozeticInstitute of Nanotechnology (NANOTEC), National Research Council, Lecce, Italy; Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Monica OrsiniDepartment of Engineering, Università degli Studi Roma Tre, Rome, Italy.
Giancarlo ForteCenter for Translational Medicine (CTM), International Clinical Research Center (ICRC), St Anne's University Hospital, Brno, Czechia. Electronic address: giancarlo.forte@fnusa.cz.
Alberto RainerDepartment of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy; Institute of Nanotechnology (NANOTEC), National Research Council, Lecce, Italy. Electronic address: a.rainer@unicampus.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traction force microscopy (TFM) has emerged as a versatile technique for the measurement of single-cell-generated forces. TFM has gained wide use among mechanobiology laboratories, and several variants of the original methodology have been proposed. However, issues related to the experimental setup and, most importantly, data analysis of cell traction datasets may restrain the adoption of TFM by a wider community. In this review, we summarize the state of the art in TFM-related research, with a focus on the analytical methods underlying data analysis. We aim to provide the reader with a friendly compendium underlying the potential of TFM and emphasizing the methodological framework required for a thorough understanding of experimental data. We also compile a list of data analytics tools freely available to the scientific community for the furtherance of knowledge on this powerful technique.

Indexed as

TractionBiophysicsCell AdhesionMicroscopy, Atomic Forcebiophysicscell adhesioncytoskeletonfocal adhesionmechanosignalingmechanotransductiontraction force microscopy

Identifiers

PMID35351517
PMCPMC9092999

What OpenQuestion holds

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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.