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    Topological features of integrin adhesion complexes revealed by multiplexed proximity biotinylation

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    Authors
    Chastney, MR
    Lawless, C
    Humphries, JD
    Warwood, S
    Jones, MC
    Knight, D
    Jorgensen, Claus
    Humphries, MJ
    Affiliation
    Wellcome Centre for Cell-Matrix Research, Faculty of Biology, Medicine & Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
    Issue Date
    2020
    
    Metadata
    Show full item record
    Abstract
    Integrin adhesion complexes (IACs) bridge the extracellular matrix to the actin cytoskeleton and transduce signals in response to both chemical and mechanical cues. The composition, interactions, stoichiometry, and topological organization of proteins within IACs are not fully understood. To address this gap, we used multiplexed proximity biotinylation (BioID) to generate an in situ, proximity-dependent adhesome in mouse pancreatic fibroblasts. Integration of the interactomes of 16 IAC-associated baits revealed a network of 147 proteins with 361 proximity interactions. Candidates with underappreciated roles in adhesion were identified, in addition to established IAC components. Bioinformatic analysis revealed five clusters of IAC baits that link to common groups of prey, and which therefore may represent functional modules. The five clusters, and their spatial associations, are consistent with current models of IAC interaction networks and stratification. This study provides a resource to examine proximal relationships within IACs at a global level.
    Citation
    Chastney MR, Lawless C, Humphries JD, Warwood S, Jones MC, Knight D, et al. Topological features of integrin adhesion complexes revealed by multiplexed proximity biotinylation. J Cell Biol. 2020;219(8).
    Journal
    Journal of Cell Biology
    URI
    http://hdl.handle.net/10541/623140
    DOI
    10.1083/jcb.202003038
    PubMed ID
    32585685
    Additional Links
    https://dx.doi.org/10.1083/jcb.202003038
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1083/jcb.202003038
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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