Leveraging computational modeling to explore epithelial and endothelial cell monolayer mechanobiology.

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Title: Leveraging computational modeling to explore epithelial and endothelial cell monolayer mechanobiology.
Authors: Keshavanarayana P; School of Mathematics, University of Birmingham, Birmingham, UK; Centre for Computational Medicine, University College London, London, UK., Aparicio-Yuste R; Multiscale in Mechanical and Biological Engineering (M2BE), Engineering Research Institute of Aragon (I3A), Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain; Interfaculty Institute of Microbiology and Infection Medicine (IMIT), Cluster of Excellence 'Controlling Microbes to Fight Infections' (CMFI, EXC 2124), University of Tübingen, Tübingen, Germany., Spill F; School of Mathematics, University of Birmingham, Birmingham, UK. Electronic address: f.spill@bham.ac.uk., Gomez-Benito MJ; Multiscale in Mechanical and Biological Engineering (M2BE), Engineering Research Institute of Aragon (I3A), Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain. Electronic address: gomezmj@unizar.es., Bastounis EE; Interfaculty Institute of Microbiology and Infection Medicine (IMIT), Cluster of Excellence 'Controlling Microbes to Fight Infections' (CMFI, EXC 2124), University of Tübingen, Tübingen, Germany. Electronic address: effie.bastounis@uni-tuebingen.de.
Source: Trends in cell biology [Trends Cell Biol] 2025 Sep; Vol. 35 (9), pp. 799-813. Date of Electronic Publication: 2025 Jan 20.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Science Publishers Country of Publication: England NLM ID: 9200566 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3088 (Electronic) Linking ISSN: 09628924 NLM ISO Abbreviation: Trends Cell Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-3088
DOI:10.1016/j.tcb.2024.12.014