Building basement membranes with computational approaches.
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| Titel: | Building basement membranes with computational approaches. |
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| Autoren: | Harris AS; Manchester Cell-Matrix Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK; School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK., Lennon R; Manchester Cell-Matrix Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK. Electronic address: Rachel.Lennon@manchester.ac.uk., Schwartz JM; School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK. Electronic address: Jean-Marc.Schwartz@manchester.ac.uk. |
| Quelle: | Matrix biology : journal of the International Society for Matrix Biology [Matrix Biol] 2025 Sep; Vol. 140, pp. 88-99. Date of Electronic Publication: 2025 Jul 09. |
| Publikationsart: | Journal Article; Review |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9432592 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1569-1802 (Electronic) Linking ISSN: 0945053X NLM ISO Abbreviation: Matrix Biol Subsets: MEDLINE |
| Imprint Name(s): | Publication: Amsterdam : Elsevier Original Publication: Stuttgart ; New York : Fischer, c1994- |
| MeSH-Schlagworte: | Basement Membrane*/metabolism , Computational Biology*/methods , Extracellular Matrix Proteins*/metabolism , Extracellular Matrix Proteins*/genetics, Humans ; Laminin/metabolism ; Laminin/genetics ; Extracellular Matrix/metabolism ; Systems Biology/methods ; Collagen Type IV/metabolism ; Collagen Type IV/genetics ; Animals ; Protein Interaction Maps ; Databases, Protein |
| Abstract: | Basement membranes (BMs) are dense extracellular matrix scaffolds that support cells. Their composition, structure and dynamic regulation are vital for tissue health and altered in human disease. The expansion of experimental and analytical techniques has generated large multiomic datasets that include BM components; however, the organising principles of BM component assembly and the regulation of BMs remain poorly understood. There are over 160 curated BM proteins, including core, ubiquitous components such as type IV collagen and laminin isoforms, as well as tissue-restricted components, and there is increasing experimental evidence of BM protein-protein interactions. Here we describe and compare multiomic, protein-protein interaction, and BM curation databases and discuss the application of systems biology approaches including network analysis, Boolean networks and Ordinary Differential Equations to integrate data and model BM organisation. Applying computational modelling strategies to BM datasets may reveal unknown organising principles of BM assembly and regulation and predict mechanisms of dysregulation in BM-associated diseases. (Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.) |
| Contributed Indexing: | Keywords: Basement membrane; Multi-omics; Systems biology |
| Substance Nomenclature: | 0 (Laminin) 0 (Collagen Type IV) 0 (Extracellular Matrix Proteins) |
| Entry Date(s): | Date Created: 20250711 Date Completed: 20250823 Latest Revision: 20250823 |
| Update Code: | 20250827 |
| DOI: | 10.1016/j.matbio.2025.07.001 |
| PMID: | 40645607 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Basement membranes (BMs) are dense extracellular matrix scaffolds that support cells. Their composition, structure and dynamic regulation are vital for tissue health and altered in human disease. The expansion of experimental and analytical techniques has generated large multiomic datasets that include BM components; however, the organising principles of BM component assembly and the regulation of BMs remain poorly understood. There are over 160 curated BM proteins, including core, ubiquitous components such as type IV collagen and laminin isoforms, as well as tissue-restricted components, and there is increasing experimental evidence of BM protein-protein interactions. Here we describe and compare multiomic, protein-protein interaction, and BM curation databases and discuss the application of systems biology approaches including network analysis, Boolean networks and Ordinary Differential Equations to integrate data and model BM organisation. Applying computational modelling strategies to BM datasets may reveal unknown organising principles of BM assembly and regulation and predict mechanisms of dysregulation in BM-associated diseases.<br /> (Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.) |
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| ISSN: | 1569-1802 |
| DOI: | 10.1016/j.matbio.2025.07.001 |