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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
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  Data: Epithelial-mesenchymal cell state heterogeneity predetermines differential phospho-signaling responses to EGF stimulation.
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  Data: <searchLink fieldCode="AU" term="%22Kohane+FV%22">Kohane FV</searchLink>; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia.<br /><searchLink fieldCode="AU" term="%22Johnstone+C%22">Johnstone C</searchLink>; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia.<br /><searchLink fieldCode="AU" term="%22Neumann+DP%22">Neumann DP</searchLink>; School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, 2052, Australia.<br /><searchLink fieldCode="AU" term="%22Gunawan+I%22">Gunawan I</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Huang+T%22">Huang T</searchLink>; School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, New South Wales, 2052, Australia.<br /><searchLink fieldCode="AU" term="%22Vafaee+F%22">Vafaee F</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Chaffer+CL%22">Chaffer CL</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lock+JG%22">Lock JG</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229201390%22">Molecular biology of the cell</searchLink> [Mol Biol Cell] 2026 Jan 01; Vol. 37 (1), pp. ar8. <i>Date of Electronic Publication: </i>2025 Dec 03.
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              Text: 2026 Jan 01
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