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dc.contributor.authorAvelar, RA
dc.contributor.authorOrtega, JG
dc.contributor.authorTacutu, R
dc.contributor.authorTyler, EJ
dc.contributor.authorBennett, D
dc.contributor.authorBinetti, P
dc.contributor.authorBudovsky, A
dc.contributor.authorChatsirisupachai, K
dc.contributor.authorJohnson, E
dc.contributor.authorMurray, A
dc.contributor.authorShields, S
dc.contributor.authorTejada-Martinez, D
dc.contributor.authorThornton, D
dc.contributor.authorFraifeld, VE
dc.contributor.authorBishop, CL
dc.contributor.authorde Magalhães, JP
dc.date.accessioned2020-06-08T17:08:30Z
dc.date.available2020-03-08
dc.date.available2020-06-08T17:08:30Z
dc.date.issued2020-04-07
dc.identifier.citationAvelar, R.A., Ortega, J.G., Tacutu, R. et al. A multidimensional systems biology analysis of cellular senescence in aging and disease. Genome Biol 21, 91 (2020). https://doi.org/10.1186/s13059-020-01990-9en_US
dc.identifier.issn1474-760X
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/64721
dc.description.abstractBACKGROUND: Cellular senescence, a permanent state of replicative arrest in otherwise proliferating cells, is a hallmark of aging and has been linked to aging-related diseases. Many genes play a role in cellular senescence, yet a comprehensive understanding of its pathways is still lacking. RESULTS: We develop CellAge (http://genomics.senescence.info/cells), a manually curated database of 279 human genes driving cellular senescence, and perform various integrative analyses. Genes inducing cellular senescence tend to be overexpressed with age in human tissues and are significantly overrepresented in anti-longevity and tumor-suppressor genes, while genes inhibiting cellular senescence overlap with pro-longevity and oncogenes. Furthermore, cellular senescence genes are strongly conserved in mammals but not in invertebrates. We also build cellular senescence protein-protein interaction and co-expression networks. Clusters in the networks are enriched for cell cycle and immunological processes. Network topological parameters also reveal novel potential cellular senescence regulators. Using siRNAs, we observe that all 26 candidates tested induce at least one marker of senescence with 13 genes (C9orf40, CDC25A, CDCA4, CKAP2, GTF3C4, HAUS4, IMMT, MCM7, MTHFD2, MYBL2, NEK2, NIPA2, and TCEB3) decreasing cell number, activating p16/p21, and undergoing morphological changes that resemble cellular senescence. CONCLUSIONS: Overall, our work provides a benchmark resource for researchers to study cellular senescence, and our systems biology analyses reveal new insights and gene regulators of cellular senescence.en_US
dc.format.extent91 - ?
dc.languageeng
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.relation.ispartofGenome Biol
dc.rightsCreative Commons Attribution 4.0 International License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBiogerontologyen_US
dc.subjectCanceren_US
dc.subjectGeneticsen_US
dc.subjectLongevityen_US
dc.subjectTranscriptomeen_US
dc.titleA multidimensional systems biology analysis of cellular senescence in aging and disease.en_US
dc.typeArticleen_US
dc.rights.holder© The Author(s). 2020
dc.identifier.doi10.1186/s13059-020-01990-9
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32264951en_US
pubs.issue1en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume21en_US
dcterms.dateAccepted2020-03-08
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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Creative Commons Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International License