Epithelial-mesenchymal cell state heterogeneity predetermines differential phospho-signaling responses to EGF stimulation.

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Title: Epithelial-mesenchymal cell state heterogeneity predetermines differential phospho-signaling responses to EGF stimulation.
Authors: Kohane FV; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia., Johnstone C; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia., Neumann DP; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia., Gunawan I; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia.; School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales, Sydney, New South Wales, 2052, Australia., Huang T; School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, New South Wales, 2052, Australia., Vafaee F; School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, New South Wales, 2052, Australia.; UNSW Data Science Hub, University of New South Wales, Sydney, New South Wales, 2052, Australia.; UNSW Artificial Intelligence Institute, University of New South Wales, Sydney, New South Wales, 2052, Australia., Chaffer CL; Garvan Institute of Medical Research, Darlinghurst, Sydney, New South Wales, 2010, Australia.; St. Vincent's Clinical School, UNSW Medicine, University of New South Wales, Sydney, New South Wales, 2010, Australia.; The Kinghorn Cancer Centre, Darlinghurst, Sydney, New South Wales, 2010, Australia., Lock JG; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia.; UNSW Data Science Hub, University of New South Wales, Sydney, New South Wales, 2052, Australia.; UNSW Artificial Intelligence Institute, University of New South Wales, Sydney, New South Wales, 2052, Australia.; Ingham Institute for Applied Medical Research, Liverpool, New South Wales, 2170, Australia.
Source: Molecular biology of the cell [Mol Biol Cell] 2026 Jan 01; Vol. 37 (1), pp. ar8. Date of Electronic Publication: 2025 Dec 03.
Publication Type: Journal Article
Journal Info: Publisher: American Society for Cell Biology Country of Publication: United States NLM ID: 9201390 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-4586 (Electronic) Linking ISSN: 10591524 NLM ISO Abbreviation: Mol Biol Cell Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1939-4586
DOI:10.1091/mbc.E25-07-0349