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Repetitive elements as a transcriptomic marker of aging: Evidence in multiple datasets and models.


ABSTRACT: Transcriptomic markers of aging can be useful for studying age-related processes and diseases. However, noncoding repetitive element (RE) transcripts, which may play an important role in aging, are commonly overlooked in transcriptome studies-and their potential as a transcriptomic marker of aging has not been evaluated. Here, we used multiple RNA-seq datasets generated from human samples and Caenorhabditis elegans and found that most RE transcripts (a) accumulate progressively with aging; (b) can be used to accurately predict age; and (c) may be a good marker of biological age. The strong RE/aging correlations we observed are consistent with growing evidence that RE transcripts contribute directly to aging and disease.

SUBMITTER: LaRocca TJ 

PROVIDER: S-EPMC7412685 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Repetitive elements as a transcriptomic marker of aging: Evidence in multiple datasets and models.

LaRocca Thomas J TJ   Cavalier Alyssa N AN   Wahl Devin D  

Aging cell 20200605 7


Transcriptomic markers of aging can be useful for studying age-related processes and diseases. However, noncoding repetitive element (RE) transcripts, which may play an important role in aging, are commonly overlooked in transcriptome studies-and their potential as a transcriptomic marker of aging has not been evaluated. Here, we used multiple RNA-seq datasets generated from human samples and Caenorhabditis elegans and found that most RE transcripts (a) accumulate progressively with aging; (b) c  ...[more]

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