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Comparative transcriptomics reveals circadian and pluripotency networks as two pillars of longevity regulation.
Lu, J Yuyang; Simon, Matthew; Zhao, Yang; Ablaeva, Julia; Corson, Nancy; Choi, Yongwook; Yamada, KayLene Y H; Schork, Nicholas J; Hood, Wendy R; Hill, Geoffrey E; Miller, Richard A; Seluanov, Andrei; Gorbunova, Vera.
Afiliação
  • Lu JY; Department of Biology, University of Rochester, Rochester, NY 14627, USA.
  • Simon M; Department of Biology, University of Rochester, Rochester, NY 14627, USA.
  • Zhao Y; Department of Biology, University of Rochester, Rochester, NY 14627, USA.
  • Ablaeva J; Department of Biology, University of Rochester, Rochester, NY 14627, USA.
  • Corson N; Department of Biology, University of Rochester, Rochester, NY 14627, USA.
  • Choi Y; Quantitative Medicine and Systems Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
  • Yamada KYH; Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
  • Schork NJ; Quantitative Medicine and Systems Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
  • Hood WR; Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
  • Hill GE; Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA.
  • Miller RA; Department of Pathology and Geriatrics Center, University of Michigan, Ann Arbor, MI 48109, USA.
  • Seluanov A; Department of Biology, University of Rochester, Rochester, NY 14627, USA. Electronic address: andrei.seluanov@rochester.edu.
  • Gorbunova V; Department of Biology, University of Rochester, Rochester, NY 14627, USA. Electronic address: vera.gorbunova@rochester.edu.
Cell Metab ; 34(6): 836-856.e5, 2022 06 07.
Article em En | MEDLINE | ID: mdl-35580607
Mammals differ more than 100-fold in maximum lifespan. Here, we conducted comparative transcriptomics on 26 species with diverse lifespans. We identified thousands of genes with expression levels negatively or positively correlated with a species' maximum lifespan (Neg- or Pos-MLS genes). Neg-MLS genes are primarily involved in energy metabolism and inflammation. Pos-MLS genes show enrichment in DNA repair, microtubule organization, and RNA transport. Expression of Neg- and Pos-MLS genes is modulated by interventions, including mTOR and PI3K inhibition. Regulatory networks analysis showed that Neg-MLS genes are under circadian regulation possibly to avoid persistent high expression, whereas Pos-MLS genes are targets of master pluripotency regulators OCT4 and NANOG and are upregulated during somatic cell reprogramming. Pos-MLS genes are highly expressed during embryogenesis but significantly downregulated after birth. This work provides targets for anti-aging interventions by defining pathways correlating with longevity across mammals and uncovering circadian and pluripotency networks as central regulators of longevity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / Longevidade Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transcriptoma / Longevidade Idioma: En Ano de publicação: 2022 Tipo de documento: Article