Communications Biology (May 2022)

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

DOI
https://doi.org/10.1038/s42003-022-03358-0
Journal volume & issue
Vol. 5, no. 1
pp. 1 – 11

Abstract

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A computational method for automated quantification of actin stress fiber alignment in fluorescence images of cultured cells is presented, used to detect changes in stress fiber organization during EMT, with pathways regulating actin dynamics manipulated leading to the discovery of a cytoskeletal phenotype.