The Genomic Loci of Specific Human tRNA Genes Exhibit Ageing-Related DNA Hypermethylation
Abstract The epigenome deteriorates with age, potentially impacting on ageing-related disease. Here, we interrogate the DNA methylation state of the genomic loci of human tRNA. Whilst arising from only ~46kb (<0.002% genome), this information transfer machinery is the second most abundant cellula...
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Published in | bioRxiv |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Paper |
Language | English |
Published |
Cold Spring Harbor
Cold Spring Harbor Laboratory Press
01.06.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Abstract The epigenome deteriorates with age, potentially impacting on ageing-related disease. Here, we interrogate the DNA methylation state of the genomic loci of human tRNA. Whilst arising from only ~46kb (<0.002% genome), this information transfer machinery is the second most abundant cellular transcript. tRNAs also control metabolic processes known to affect ageing, through core translational and additional regulatory roles. We identified a genomic enrichment for age-related DNA hypermethylation at tRNA loci. Analysis in 4,350 MeDIP-seq peripheral-blood DNA methylomes (16-82 years), classified 44 and 21 hypermethylating specific tRNAs at study- and genome-wide significance, respectively, contrasting with 0 hypomethylating. Validation and replication (450k array & independent targeted Bisuphite-sequencing) supported thehypermethylation of this functional unit. The strongest consistent signals, also independent of major cell-type change, occur in tRNA-iMet-CAT-1-4 and tRNA-Ser-AGA-2-6. This study is this first comprehensive evaluation of the genomic DNA methylation state of human tRNA genes and reveals a discreet hypermethylation with advancing age. Competing Interest Statement The authors have declared no competing interest. Footnotes * Various changes in response to reviewers feedback, briefly: - Section on tsRNA expression dropped. - More detail on the genomic context of age-hypermethylating tRNAs. - Consolidation of figures into panels and improved legends - Additional supplementary data - Human/Mouse orthologs comparison * https://github.com/RichardJActon/tRNA_paper_code |
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DOI: | 10.1101/870352 |