{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6"],"submitter":["Riba M"],"pubmed_abstract":["Systems biology provides opportunities to fully understand the genes and pathways in disease pathogenesis. We used literature knowledge and unbiased multiple data meta-analysis paradigms to analyze microarray datasets across different mouse strains and acute allergic asthma models. Our combined gene-driven and pathway-driven strategies generated a stringent signature list totaling 933 genes with 41% (440) asthma-annotated genes and 59% (493) ignorome genes, not previously associated with asthma. Within the list, we identified inflammation, circadian rhythm, lung-specific insult response, stem cell proliferation domains, hubs, peripheral genes, and super-connectors that link the biological domains (Il6, Il1ß, Cd4, Cd44, Stat1, Traf6, Rela, Cadm1, Nr3c1, Prkcd, Vwf, Erbb2). In conclusion, th"],"journal":["Scientific reports"],"pagination":["24647"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4838989"],"repository":["biostudies-literature"],"pubmed_title":["Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene networks."],"pmcid":["PMC4838989"],"pubmed_authors":["Riba M","Stupka E","Bosnjak B","Garcia Manteiga JM","Le C","Cittaro D","Mikolka P","Epstein MM"],"additional_accession":[]},"is_claimable":false,"name":"Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene networks.","description":"Systems biology provides opportunities to fully understand the genes and pathways in disease pathogenesis. We used literature knowledge and unbiased multiple data meta-analysis paradigms to analyze microarray datasets across different mouse strains and acute allergic asthma models. Our combined gene-driven and pathway-driven strategies generated a stringent signature list totaling 933 genes with 41% (440) asthma-annotated genes and 59% (493) ignorome genes, not previously associated with asthma. Within the list, we identified inflammation, circadian rhythm, lung-specific insult response, stem cell proliferation domains, hubs, peripheral genes, and super-connectors that link the biological domains (Il6, Il1ß, Cd4, Cd44, Stat1, Traf6, Rela, Cadm1, Nr3c1, Prkcd, Vwf, Erbb2). In conclusion, th","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Apr","modification":"2026-05-30T08:37:46.076Z","creation":"2019-03-27T02:12:05Z"},"accession":"S-EPMC4838989","cross_references":{"pubmed":["27097888"],"doi":["10.1038/srep24647"]}}