Evidence map›Paper›PMID 16461394›Full record

ArticleBiophysical journal2006

A master relation defines the nonlinear viscoelasticity of single fibroblasts.

Pablo Fernández, Pramod A Pullarkat, Albrecht Ott

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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

68 citing papers in PubMed, 232 citations in OpenAlex.

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  11. Nonlinear Elastic and Inelastic Properties of Cells.Journal of biomechanical engineering · 2020
    Review
  12. Article
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  14. Article
  15. Review
  16. Article
  17. Mimicking Active Biopolymer Networks with a Synthetic Hydrogel.Journal of the American Chemical Society · 2019
    Article
  18. Article
  19. Article
  20. Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review

8 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 at 1 institution in 1 country.

Pablo FernándezExperimentalphysik I, Physikalisches Institut, Universität Bayreuth, D-95440 Bayreuth, Germany. pablo@ep1.uni-bayreuth.de
Pramod A Pullarkat
Albrecht Ott
University of Bayreuth · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell mechanical functions such as locomotion, contraction, and division are controlled by the cytoskeleton, a dynamic biopolymer network whose mechanical properties remain poorly understood. We perform single-cell uniaxial stretching experiments on 3T3 fibroblasts. By superimposing small amplitude oscillations on a mechanically prestressed cell, we find a transition from linear viscoelastic behavior to power law stress stiffening. Data from different cells over several stress decades can be uniquely scaled to obtain a master relation between the viscoelastic moduli and the average force. Remarkably, this relation holds independently of deformation history, adhesion biochemistry, and intensity of active contraction. In particular, it is irrelevant whether force is actively generated by the cell or externally imposed by stretching. We propose that the master relation reflects the mechanical behavior of the force-bearing actin cytoskeleton, in agreement with stress stiffening known from semiflexible filament networks.

Indexed as

Models, Biological3T3 CellsAnimalsComputer SimulationCytoskeletonElasticityMiceStress FibersStress, MechanicalViscosity

Identifiers

PMID16461394
PMCPMC1440760
OpenAlexW1978533003

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.