Evidence map›Paper›PMID 32366921›Full record

ArticleScientific reports2020

Cell viscoelasticity is linked to fluctuations in cell biomass distributions.

Thang L Nguyen, Edward R Polanco, Alexander N Patananan, Thomas A Zangle, Michael A Teitell

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Viscoelasticity, Like Forces, Plays a Role in Mechanotransduction.Frontiers in cell and developmental biology · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. 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 at 2 institutions in 1 country.

Thang L NguyenDepartment of Bioengineering, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
Edward R PolancoDepartment of Chemical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Alexander N PatanananDeparment of Pathology and Laboratory Medicine, University of California at Los Angeles, Los Angeles, CA, 90095, USA.
Thomas A ZangleDepartment of Chemical Engineering, University of Utah, Salt Lake City, UT, 84112, USA. tzangle@chemeng.utah.edu.
Michael A TeitellDepartment of Bioengineering, University of California at Los Angeles, Los Angeles, CA, 90095, USA. mteitell@mednet.ucla.edu.
University of California, Los Angeles · USUniversity of Utah · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA Tumor Immunology Training ProgramT32CA009120 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Steven M. Dubinett, MICHAEL A TEITELL · 1985 to 2026
$10.3M
(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
Reverse Mitochondrial Genetics Enabled by BlastR01GM114188 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIOU, PEI-YU, TEITELL, MICHAEL A · 2015 to 2018
$1.9M
SPOTs: Optical Technologies for Instantly Quantifying Multicellular Response ProfilesR01GM127985 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIOU, PEI-YU, TEITELL, MICHAEL A · 2020 to 2023
$1.7M
(PQ5) Mitochondrial Transfer in Tumor Heterogeneity and Acquired Resistence to TherapyR21CA227480 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TEITELL, MICHAEL A · 2019 to 2020
$373k
NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA185189NCI NIH HHS R21 CA227480NCI NIH HHS T32 CA009120NIGMS NIH HHS R01 GM114188NIGMS NIH HHS R01 GM127985
6 · The paper itself

Abstract

The viscoelastic properties of mammalian cells can vary with biological state, such as during the epithelial-to-mesenchymal (EMT) transition in cancer, and therefore may serve as a useful physical biomarker. To characterize stiffness, conventional techniques use cell contact or invasive probes and as a result are low throughput, labor intensive, and limited by probe placement. Here, we show that measurements of biomass fluctuations in cells using quantitative phase imaging (QPI) provides a probe-free, contact-free method for quantifying changes in cell viscoelasticity. In particular, QPI measurements reveal a characteristic underdamped response of changes in cell biomass distributions versus time. The effective stiffness and viscosity values extracted from these oscillations in cell biomass distributions correlate with effective cell stiffness and viscosity measured by atomic force microscopy (AFM). This result is consistent for multiple cell lines with varying degrees of cytoskeleton disruption and during the EMT. Overall, our study demonstrates that QPI can reproducibly quantify cell viscoelasticity.

Indexed as

BiomassEpithelial-Mesenchymal TransitionBiomarkersCell DivisionCell Line, TumorCytoskeletonElasticityHeLa CellsHumansMCF-7 CellsMicroscopy, Atomic ForceOscillometryViscosityBiomarkers

Identifiers

PMID32366921
PMCPMC7198624
OpenAlexW3021494925

What OpenQuestion holds

Textmetadata
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.