Literature DB >> 35580607

Comparative transcriptomics reveals circadian and pluripotency networks as two pillars of longevity regulation.

J Yuyang Lu1, Matthew Simon1, Yang Zhao1, Julia Ablaeva1, Nancy Corson1, Yongwook Choi2, KayLene Y H Yamada3, Nicholas J Schork2, Wendy R Hood3, Geoffrey E Hill3, Richard A Miller4, Andrei Seluanov5, Vera Gorbunova6.   

Abstract

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.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  aging; circadian clock; comparative transcriptomics; epigenetic reprogramming; functional genomics; longevity; pluripotency

Mesh:

Year:  2022        PMID: 35580607      PMCID: PMC9364679          DOI: 10.1016/j.cmet.2022.04.011

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   31.373


  132 in total

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Review 3.  The central role of DNA damage in the ageing process.

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Journal:  Nature       Date:  2011-10-12       Impact factor: 49.962

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Authors:  Javier Koh; Yoko Itahana; Ian H Mendenhall; Dolyce Low; Eunice Xin Yi Soh; Alvin Kunyao Guo; Yok Teng Chionh; Lin-Fa Wang; Koji Itahana
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Journal:  Nat Commun       Date:  2020-04-21       Impact factor: 14.919

7.  Transcriptomic profiling of long- and short-lived mutant mice implicates mitochondrial metabolism in ageing and shows signatures of normal ageing in progeroid mice.

Authors:  Matias Fuentealba; Daniel K Fabian; Handan Melike Dönertaş; Janet M Thornton; Linda Partridge
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Journal:  Cell Rep       Date:  2021-11-09       Impact factor: 9.995

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Journal:  Trends Cell Biol       Date:  2021-07-17       Impact factor: 20.808

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Review 1.  mTOR Complex 1 Content and Regulation Is Adapted to Animal Longevity.

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  1 in total

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