The extracellular matrix (ECM) is the noncellular compartment of living organisms and is formed of a complex network of cross-linked proteins, which is collectively known as the matrisome. Apart from providing the structure for an organism, cells interact and thereby communicate with the ECM. Cells interact with their surrounding ECM using cell-surface receptors, such as integrins. Upon integrin engagement with the ECM, cytoskeletal proteins are recruited to integrins and form a molecular protein complex known as the integrin adhesome. Global descriptions of the matrisome and integrin adhesome have been proposed using in silico bioinformatics approaches, as well as through biochemical enrichment of matrisome and adhesome fractions coupled with mass spectrometry-based proteomic analyses, providing inventories of their compositions in different contexts. Here, methods are described for the computational downstream analyses of matrisome and adhesome mass spectrometry datasets that are accessible to wet lab biologists, which include comparing datasets to in silico descriptions, generating interaction networks and performing functional ontological analyses.
Keywords: Bioinformatics; Cell adhesion; Clustering; Data analysis; Extracellular matrix; Gene ontology; Integrin adhesome; Interaction networks; Matrisome; Proteomics.