2020
DOI: 10.1371/journal.pcbi.1008429
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Identifying longevity associated genes by integrating gene expression and curated annotations

Abstract: Aging is a complex process with poorly understood genetic mechanisms. Recent studies have sought to classify genes as pro-longevity or anti-longevity using a variety of machine learning algorithms. However, it is not clear which types of features are best for optimizing classification performance and which algorithms are best suited to this task. Further, performance assessments based on held-out test data are lacking. We systematically compare five popular classification algorithms using gene ontology and gen… Show more

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Cited by 10 publications
(11 citation statements)
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“…TORC1 positively regulates aging, and its inhibition increases lifespan in various eukaryotic organisms including yeast and mammalian 13,26,27,29,30 . The drug rapamycin, initially discovered as an antifungal natural product produced by Streptomyces hygroscopicus , inhibits TORC1 and increases lifespan (Figures S1A and S1B) 13,17,19,21,23,25,29 .…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…TORC1 positively regulates aging, and its inhibition increases lifespan in various eukaryotic organisms including yeast and mammalian 13,26,27,29,30 . The drug rapamycin, initially discovered as an antifungal natural product produced by Streptomyces hygroscopicus , inhibits TORC1 and increases lifespan (Figures S1A and S1B) 13,17,19,21,23,25,29 .…”
Section: Resultsmentioning
confidence: 99%
“…Since rapamycin increases the lifespan by an inhibitory effect on TORC1 activity 13,17,19,21,23,25,29 , it appears most interesting to focus on AAGs with a deletion phenotype of increased CLS/RLS and being down-regulated by rapamycin application. A manual analysis of these gene lists reveals that, among the uncharacterized or severely understudied AAGs, there is a single one known to increase both CLS and RLS upon deletion and being downregulated by rapamycin treatment.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Such analytical approach can overcome inherent constraints of conventional single-database enrichment analyses (i.e. intrinsic domain limitation, annotation biases, and small number of genes with annotations of interest), often requiring a posteriori clustering of complex lists of heterogeneous terms ( 51 , 52 , 53 , 54 ).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, differentially expressed genes during senescence/immortalization were shown to be key regulators of interferon-and insulin growth factor-related processes, pRB/p53associated cell cycle regulation, as well as MAP kinase, cytoskeletal, and oxidative stress pathways [14][15][16]. Certain transcriptomic changes observed in aging organisms were linked to longevity [17][18][19][20][21]; however, how these gene expression changes contribute to aging-related pathologies is not fully understood.…”
Section: Introductionmentioning
confidence: 99%