Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pcbi.1007162
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dc.titleCross-species functional modules link proteostasis to human normal aging
dc.contributor.authorKomljenovic, Andrea
dc.contributor.authorLi, Hao
dc.contributor.authorSorrentino, Vincenzo
dc.contributor.authorKutalik, Zoltan
dc.contributor.authorAuwerx, Johan
dc.contributor.authorRobinson-Rechavi, Marc
dc.date.accessioned2024-04-09T04:27:07Z
dc.date.available2024-04-09T04:27:07Z
dc.date.issued2019-07-03
dc.identifier.citationKomljenovic, Andrea, Li, Hao, Sorrentino, Vincenzo, Kutalik, Zoltan, Auwerx, Johan, Robinson-Rechavi, Marc (2019-07-03). Cross-species functional modules link proteostasis to human normal aging. PLOS COMPUTATIONAL BIOLOGY 15 (7). ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1007162
dc.identifier.issn1553-734X
dc.identifier.issn1553-7358
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/247797
dc.description.abstractThe evolutionarily conserved nature of the few well-known anti-aging interventions that affect lifespan, such as caloric restriction, suggests that aging-related research in model organisms is directly relevant to human aging. Since human lifespan is a complex trait, a systems-level approach will contribute to a more comprehensive understanding of the underlying aging landscape. Here, we integrate evolutionary and functional information of normal aging across human and model organisms at three levels: gene-level, process-level, and network-level. We identify evolutionarily conserved modules of normal aging across diverse taxa, and notably show proteostasis to be conserved in normal aging. Additionally, we find that mechanisms related to protein quality control network are enriched for genes harboring genetic variants associated with 22 age-related human traits and associated to caloric restriction. These results demonstrate that a systems-level approach, combined with evolutionary conservation, allows the detection of candidate aging genes and pathways relevant to human normal aging.
dc.language.isoen
dc.publisherPUBLIC LIBRARY SCIENCE
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectBiochemical Research Methods
dc.subjectMathematical & Computational Biology
dc.subjectBiochemistry & Molecular Biology
dc.subjectGENE-EXPRESSION PROFILES
dc.subjectLIFE-SPAN
dc.subjectDIETARY RESTRICTION
dc.subjectCOMMON SIGNATURES
dc.subjectAGE
dc.subjectMETAANALYSIS
dc.subjectINTEGRATION
dc.subjectMECHANISMS
dc.subjectEXTENSION
dc.subjectLONGEVITY
dc.typeArticle
dc.date.updated2024-04-08T10:13:34Z
dc.contributor.departmentBIOCHEMISTRY
dc.description.doi10.1371/journal.pcbi.1007162
dc.description.sourcetitlePLOS COMPUTATIONAL BIOLOGY
dc.description.volume15
dc.description.issue7
dc.published.statePublished
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