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Nonlinear DNA methylation trajectories in aging mice [RRBS]

ABSTRACT: Nonlinear DNA methylation trajectories in aging mice [RRBS]

PROVIDER: PRJNA977677 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR24766900_1.fastq.gz	Fastqsanger.gz
	SRR24766900_2.fastq.gz	Fastqsanger.gz
	SRR24766901_1.fastq.gz	Fastqsanger.gz
	SRR24766901_2.fastq.gz	Fastqsanger.gz
	SRR24766902_1.fastq.gz	Fastqsanger.gz

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Nonlinear DNA methylation trajectories in aging mice [RRBS]

Project description:Although DNA methylation data yields highly accurate age predictors, little is known about the dynamics of this quintessential epigenomic biomarker during lifespan. To narrow the gap, we investigated the methylation trajectories in DNA from 82 male mouse (C57BL/6J/Ukj) colons at five different time points (3, 9, 15, 24, 28 months). Our study indicates the existence of linear and nonlinear DNA methylation changes during aging. Precisely, we identify two epigenomic switches during early-to-midlife (3-9 mo) and mid-to-late-life (15-24 mo) transitions, separating the rodents' life into three major stages. The results were validated with samples from an independent mouse cohort of 20 male C57BL6/J mice at four different ages (3, 7, 12, 27 months).

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Project description:Although DNA methylation data yields highly accurate age predictors, little is known about the dynamics of this quintessential epigenomic biomarker during lifespan. To narrow the gap, we investigate the methylation trajectories of male mouse colon at five different time points of aging. Our study indicates the existence of sudden hypermethylation events at specific stages of life. Precisely, we identify two epigenomic switches during early-to-midlife (3-9 months) and mid-to-late-life (15-24 months) transitions, separating the rodents' life into three stages. These nonlinear methylation dynamics predominantly affect genes associated with the nervous system and enrich in bivalently marked chromatin regions. Based on groups of nonlinearly modified loci, we construct a clock-like classifier STageR (STage of aging estimatoR) that accurately predicts murine epigenetic stage. We demonstrate the universality of our clock in an independent mouse cohort and with publicly available datasets.

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Nonlinear DNA methylation trajectories in aging male mice.

Project description:Although DNA methylation data yields highly accurate age predictors, little is known about the dynamics of this quintessential epigenomic biomarker during lifespan. To narrow the gap, we investigate the methylation trajectories of male mouse colon at five different time points of aging. Our study indicates the existence of sudden hypermethylation events at specific stages of life. Precisely, we identify two epigenomic switches during early-to-midlife (3-9 months) and mid-to-late-life (15-24 months) transitions, separating the rodents' life into three stages. These nonlinear methylation dynamics predominantly affect genes associated with the nervous system and enrich in bivalently marked chromatin regions. Based on groups of nonlinearly modified loci, we construct a clock-like classifier STageR (STage of aging estimatoR) that accurately predicts murine epigenetic stage. We demonstrate the universality of our clock in an independent mouse cohort and with publicly available datasets.

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