Evidence map›Paper›PMID 24010652›Full record

ArticleBiophysical journal2013

Quantifying cell-to-cell variation in power-law rheology.

PingGen Cai, Yusuke Mizutani, Masahiro Tsuchiya, John M Maloney, Ben Fabry, Krystyn J Van Vliet, Takaharu Okajima

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

25 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Average Rheological Quantities of Cells in Monolayers.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Increased stiffness and flow resistance of the inner wall of Schlemm's canal in glaucomatous human eyes.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  18. Article
  19. Article
  20. Article
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

7 authors at 3 institutions in 3 countries.

PingGen CaiGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Yusuke Mizutani
Masahiro Tsuchiya
John M Maloney
Ben Fabry
Krystyn J Van Vliet
Takaharu Okajima
Hokkaido University · JPMassachusetts Institute of Technology · USFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

Molecular, Cell and Tissue Biomechanics Training GrantT32EB006348 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KAMM, ROGER D · 2006 to 2010
$1.6M
NIBIB NIH HHS EB006348NIBIB NIH HHS T32 EB006348
6 · The paper itself

Abstract

Among individual cells of the same source and type, the complex shear modulus G(∗) exhibits a large log-normal distribution that is the result of spatial, temporal, and intrinsic variations. Such large distributions complicate the statistical evaluation of pharmacological treatments and the comparison of different cell states. However, little is known about the characteristic features of cell-to-cell variation. In this study, we investigated how this variation depends on the spatial location within the cell and on the actin filament cytoskeleton, the organization of which strongly influences cell mechanics. By mechanically probing fibroblasts arranged on a microarray, via atomic force microscopy, we observed that the standard deviation σ of G(∗) was significantly reduced among cells in which actin filaments were depolymerized. The parameter σ also exhibited a subcellular spatial dependence. Based on our findings regarding the frequency dependence of σ of the storage modulus G('), we proposed two types of cell-to-cell variation in G(') that arise from the purely elastic and the frequency-dependent components in terms of the soft glassy rheology model of cell deformability. We concluded that the latter inherent cell-to-cell variation can be reduced greatly by disrupting actin networks, by probing at locations within the cell nucleus boundaries distant from the cell center, and by measuring at high loading frequencies.

Indexed as

Mechanical PhenomenaRheologyActin CytoskeletonAnimalsBiomechanical PhenomenaCytoskeletonMiceMicroscopy, Atomic ForceNIH 3T3 Cells

Identifiers

PMID24010652
PMCPMC3762352
OpenAlexW1516602187

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.