Evidence map›Paper›PMID 35501466›Full record

ArticleCommunications biology2022

Statistical parametrization of cell cytoskeleton reveals lung cancer cytoskeletal phenotype with partial EMT signature.

Arkaprabha Basu, Manash K Paul, Mitchel Alioscha-Perez, Anna Grosberg, Hichem Sahli, Steven M Dubinett, Shimon Weiss

Open access · goldAbstract 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Intercellular contractile force attenuates chemosensitivity through Notch-MVP-mediated nuclear drug export.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Quantifying cytoskeletal organization from optical microscopy data.Frontiers in cell and developmental biology · 2023
    Review
  9. Review
  10. Review
  11. Article
  12. 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

7 authors at 4 institutions in 2 countries.

Arkaprabha BasuDepartment of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-6896-7822
Manash K PaulDepartment of Medicine, University of California Los Angeles, Los Angles, CA, USA.
Mitchel Alioscha-PerezElectronics and Informatics Department, Vrije Universiteit Brussel, Brussels, Belgium.
Anna GrosbergDepartment of Biomedical Engineering, University of California Irvine, Irvine, CA, USA.
Hichem SahliElectronics and Informatics Department, Vrije Universiteit Brussel, Brussels, Belgium.
Steven M DubinettDepartment of Medicine, University of California Los Angeles, Los Angles, CA, USA.
Shimon WeissDepartment of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA, USA. sweiss@chem.ucla.edu.ORCID http://orcid.org/0000-0002-0720-5426
California NanoSystems Institute · USUniversity of California, Los Angeles · USVrije Universiteit Brussel · BEUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal Transition (EMT) is a multi-step process that involves cytoskeletal rearrangement. Here, developing and using an image quantification tool, Statistical Parametrization of Cell Cytoskeleton (SPOCC), we have identified an intermediate EMT state with a specific cytoskeletal signature. We have been able to partition EMT into two steps: (1) initial formation of transverse arcs and dorsal stress fibers and (2) their subsequent conversion to ventral stress fibers with a concurrent alignment of fibers. Using the Orientational Order Parameter (OOP) as a figure of merit, we have been able to track EMT progression in live cells as well as characterize and quantify their cytoskeletal response to drugs. SPOCC has improved throughput and is non-destructive, making it a viable candidate for studying a broad range of biological processes. Further, owing to the increased stiffness (and by inference invasiveness) of the intermediate EMT phenotype compared to mesenchymal cells, our work can be instrumental in aiding the search for future treatment strategies that combat metastasis by specifically targeting the fiber alignment process.

Indexed as

Epithelial-Mesenchymal TransitionLung NeoplasmsCytoskeletonHumansMicrotubulesPhenotype

Identifiers

PMID35501466
PMCPMC9061773
OpenAlexW4225288600

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.