Evidence map›Paper›PMID 37034996›Full record

ArticleiScience2023

Correlating mechanical and gene expression data on the single cell level to investigate metastatic phenotypes.

Katherine M Young, Congmin Xu, Kelly Ahkee, Roman Mezencev, Steven P Swingle, Tong Yu, Ava Paikeday, Cathy Kim, John F McDonald, Peng Qiu and 1 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. [Research advances of magnetic resonance elastography for assessing the bioinvasiveness in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  4. Article
  5. Untangling the fusion of spatial omics and mechanobiology.Progress in biomedical engineering (Bristol, England) · 2025
    Review
  6. Nuclear destabilisation - a possible genesis of cancer?Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  14. Article
  15. 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

11 authors at 1 institution in 1 country.

Katherine M YoungWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Congmin XuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Kelly AhkeeWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Roman MezencevSchool of Biology, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0405, USA.
Steven P SwingleGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332-0405, USA.
Tong YuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Ava PaikedayWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Cathy KimWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
John F McDonaldSchool of Biology, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0405, USA.
Peng QiuWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Todd SulchekWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Drive, Atlanta, GA 30332-0535, USA.
Georgia Institute of Technology · US

Funding

Correlating mechanical and genetic data at high-throughput and single cell levels to investigate metastasisF31CA243345 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI YOUNG, KATHERINE M · 2019 to 2021
$111k
NCI NIH HHS F31 CA243345
6 · The paper itself

Abstract

Stiffness has been observed to decrease for many cancer cell types as their metastatic potential increases. Although cell mechanics and metastatic potential are related, the underlying molecular factors associated with these phenotypes remain unknown. Therefore, we have developed a workflow to measure the mechanical properties and gene expression of single cells that is used to generate large linked-datasets. The process combines atomic force microscopy to measure the mechanics of individual cells with multiplexed RT-qPCR gene expression analysis on the same single cells. Surprisingly, the genes that most strongly correlated with mechanical properties were not cytoskeletal, but rather were markers of extracellular matrix remodeling, epithelial-to-mesenchymal transition, cell adhesion, and cancer stemness. In addition, dimensionality reduction analysis showed that cell clustering was improved by combining mechanical and gene expression data types. The single cell genomechanics method demonstrates how single cell studies can identify molecular drivers that could affect the biophysical processes underpinning metastasis.

Indexed as

Association analysisBiomechanicsTranscriptomics

Identifiers

PMID37034996
PMCPMC10074148
OpenAlexW4324032859

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.