Evidence map›Paper›PMID 20862610›Full record

ArticleBiomedical microdevices2011

Measurement of contractile forces generated by individual fibroblasts on self-standing fiber scaffolds.

Hojeong Jeon, Eunpa Kim, Costas P Grigoropoulos

Abstract read
In one paragraph

Article in Biomedical microdevices, 2011. 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. Two-Photon Polymerization: Fundamentals, Materials, and Chemical Modification Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  2. Article
  3. Article
  4. Article
  5. Dynamics of Stress Fibers Turnover in Contractile Cells.Journal of engineering mechanics · 2012
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hojeong JeonLaser Thermal Laboratory, Department of Mechanical Engineering, University of California, Berkeley, CA 94720-1740, USA.
Eunpa Kim
Costas P Grigoropoulos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contractility of cells in wound site is important to understand pathological wound healing and develop therapeutic strategies. In particular, contractile force generated by cells is a basic element for designing artificial three-dimensional cell culture scaffolds. Direct assessment of deformation of three-dimensional structured materials has been used to calculate contractile forces by averaging total forces with respect to the cell population number. However, macroscopic methods have offered only lower bounds of contractility due to experimental assumptions and the large variance of the spatial and temporal cell response. In the present study, cell contractility was examined microscopically in order to measure contractile forces generated by individual cells on self-standing fiber scaffolds that were fabricated via femtosecond laser-induced two-photon polymerization. Experimental assumptions and calculation errors that arose in previous studies of macroscopic and microscopic contractile force measurements could be reduced by adopting a columnar buckling model on individual, standing fiber scaffolds. Via quantifying eccentric critical loads for the buckling of fibers with various diameters, contractile forces of single cells were calculated in the range between 30-116 nN. In the present study, a force magnitude of approximately 200 nN is suggested as upper bound of the contractile force exerted by single cells. In addition, contractile forces by multiple cells on a single fiber were calculated in the range between 241-709 nN.

Indexed as

Mechanical PhenomenaAnimalsBiomechanical PhenomenaCell SizeElastic ModulusFibroblastsMiceMicrotechnologyNIH 3T3 CellsPolymersTissue ScaffoldsPolymers

Identifiers

PMID20862610
PMCPMC3028113

What OpenQuestion holds

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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.