{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T22:49:06Z","timestamp":1783118946774,"version":"3.54.6"},"reference-count":54,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T00:00:00Z","timestamp":1560470400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Ophthalmologica"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>Performing bioinformatics analyses using trabecular meshwork (<jats:styled-content style=\"fixed-case\">TM<\/jats:styled-content>) gene expression data in order to further elucidate the molecular pathogenesis of primary open\u2010angle glaucoma (<jats:styled-content style=\"fixed-case\">POAG<\/jats:styled-content>), and to identify candidate target genes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A systematic search in Gene Expression Omnibus and ArrayExpress was conducted, and quality control and preprocessing of the data was performed with ArrayAnalysis.org. Molecular pathway overrepresentation analysis was performed with PathVisio using pathway content from three pathway databases: WikiPathways, <jats:styled-content style=\"fixed-case\">KEGG<\/jats:styled-content> and Reactome. In addition, Gene Ontology (<jats:styled-content style=\"fixed-case\">GO<\/jats:styled-content>) analysis was performed on the gene expression data. The significantly changed pathways were clustered into functional categories which were combined into a network of connected genes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Ninety\u2010two significantly changed pathways were clustered into five functional categories: extracellular matrix (<jats:styled-content style=\"fixed-case\">ECM<\/jats:styled-content>), inflammation, complement activation, senescence and Rho <jats:styled-content style=\"fixed-case\">GTP<\/jats:styled-content>ase signalling. <jats:styled-content style=\"fixed-case\">ECM<\/jats:styled-content> included pathways involved in collagen, actin and cell\u2013matrix interactions. Inflammation included pathways entailing <jats:styled-content style=\"fixed-case\">NF<\/jats:styled-content>\u2010<jats:italic>\u03ba<\/jats:italic>B and arachidonic acid. The network analysis showed that several genes overlap between the inflammation cluster on the one hand, and the <jats:styled-content style=\"fixed-case\">ECM<\/jats:styled-content>, complement activation and senescence clusters on the other hand. <jats:styled-content style=\"fixed-case\">GO<\/jats:styled-content> analysis, identified additional clusters, related to development and corticosteroids.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study provides an overview of the processes involved in the molecular pathogenesis of <jats:styled-content style=\"fixed-case\">POAG<\/jats:styled-content> in the <jats:styled-content style=\"fixed-case\">TM<\/jats:styled-content>. The results show good face validity and confirm findings from histological, biochemical, genome\u2010wide association and transcriptomics studies. The identification of known points of action for drugs, such as Rho <jats:styled-content style=\"fixed-case\">GTP<\/jats:styled-content>ase, arachidonic acid, <jats:styled-content style=\"fixed-case\">NF<\/jats:styled-content>\u2010<jats:italic>\u03ba<\/jats:italic>B, prostaglandins and corticosteroid clusters, supports the value of this approach to identify potential drug targets.<\/jats:p><\/jats:sec>","DOI":"10.1111\/aos.14154","type":"journal-article","created":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T08:29:10Z","timestamp":1560500950000},"page":"48-57","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Comprehensive bioinformatics analysis of trabecular meshwork gene expression data to unravel the molecular pathogenesis of primary open\u2010angle glaucoma"],"prefix":"10.1111","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8114-7578","authenticated-orcid":false,"given":"Ilona","family":"Liesenborghs","sequence":"first","affiliation":[{"name":"University Eye Clinic Maastricht Maastricht University Medical Centre Maastricht The Netherlands"},{"name":"Maastricht Centre of Systems Biology (MaCSBio) Maastricht University Maastricht The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars M. 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