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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus Heterocephalus glaber Canis lupus familiaris Homo sapiens Macaca mulatta

PROVIDER: GSE86059 | GEO | 2018/01/17

SECONDARY ACCESSION(S): PRJNA340144

REPOSITORIES: GEO

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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Macaque_450k]

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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [TC1_450k]

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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Bis-PCR: dog]

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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species

Project description:The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species

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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [TC1_450k]

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Project description:The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Macaque_450k]

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The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Bis-PCR: naked mole-rat]

Project description:The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Bis-PCR: naked mole-rat]

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Evolution of Natural Lifespan Variation and Molecular Strategies of Extended Lifespan

Project description:Here, we analyzed 76 ecologically diverse wild yeast isolates and discovered a wide diversity of replicative lifespan. Phylogenetic analyses pointed to genes and environmental factors that strongly interact to modulate the observed aging patterns. We then identified genetic networks causally associated with natural variation in replicative lifespan across wild yeast isolates, as well as genes, metabolites and pathways, many of which have never been associated with yeast lifespan in laboratory settings. In addition, a combined analysis of lifespan-associated metabolic and transcriptomic changes revealed unique adaptations to interconnected amino acid biosynthesis, glutamate metabolism and mitochondrial function in long-lived strains. Overall, our multi-omic and lifespan analyses across diverse isolates of the same species shows how gene-environment interactions shape cellular processes involved in phenotypic variation such as lifespan.

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