Evidence map›Paper›PMID 35017622›Full record

ArticleCommunications biology2022

Viscoelastic parameterization of human skin cells characterize material behavior at multiple timescales.

Cameron H Parvini, Alexander X Cartagena-Rivera, Santiago D Solares

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Biomedical optics express · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Power Laws Describe Bacterial Viscoelasticity.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  9. Article
  10. 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

3 authors.

Cameron H ParviniDepartment of Mechanical and Aerospace Engineering, The George Washington University School of Engineering and Applied Science, Washington, DC, USA.ORCID http://orcid.org/0000-0003-4845-7993
Alexander X Cartagena-RiveraSection on Mechanobiology, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA. alexander.cartagena-rivera@nih.gov.ORCID http://orcid.org/0000-0001-6227-2499
Santiago D SolaresDepartment of Mechanical and Aerospace Engineering, The George Washington University School of Engineering and Applied Science, Washington, DC, USA. ssolares@gwu.edu.ORCID http://orcid.org/0000-0003-0895-8160

Funding

MechanobiologyZIAEB000094 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI CARTAGENA-RIVERA, ALEXANDER · 2020 to 2025
$6.0M
Intramural NIH HHS ZIA EB000094National Science Foundation (NSF) CMMI-2019507
6 · The paper itself

Abstract

Countless biophysical studies have sought distinct markers in the cellular mechanical response that could be linked to morphogenesis, homeostasis, and disease. Here, an iterative-fitting methodology visualizes the time-dependent viscoelastic behavior of human skin cells under physiologically relevant conditions. Past investigations often involved parameterizing elastic relationships and assuming purely Hertzian contact mechanics, which fails to properly account for the rich temporal information available. We demonstrate the performance superiority of the proposed iterative viscoelastic characterization method over standard open-search approaches. Our viscoelastic measurements revealed that 2D adherent metastatic melanoma cells exhibit reduced elasticity compared to their normal counterparts-melanocytes and fibroblasts, and are significantly less viscous than fibroblasts over timescales spanning three orders of magnitude. The measured loss angle indicates clear differential viscoelastic responses across multiple timescales between the measured cells. This method provides insight into the complex viscoelastic behavior of metastatic melanoma cells relevant to better understanding cancer metastasis and aggression.

Indexed as

Cell Line, TumorCells, CulturedElasticityFibroblastsHumansMelanocytesMelanomaSkinSkin NeoplasmsViscosity

Identifiers

PMID35017622
PMCPMC8752830

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.