A whole lifespan mouse multi-tissue DNA methylation clock

Abstract
Data availability
Article and author information
Metrics

Abstract

Age predictors based on DNA methylation levels at a small set of CpG sites, DNAm clocks, have been developed for humans and extended to several other species. Three currently available versions of mouse DNAm clocks were either created for individual tissues or tuned towards young ages. Here, we constructed a robust multi-tissue age predictor based on 435 CpG sites, which covers the entire mouse lifespan and remains unbiased with respect to any particular age group. It can successfully detect the effects of certain lifespan-modulating interventions on DNAm age as well as the rejuvenation effect related to the transition from fibroblasts to iPSCs. We have carried out comparative analyses of available mouse DNAm clocks, which revealed their broad applicability, but also certain limitations to the use of tissue-specific and multi-tissue age predictors. Together, these tools should help address diverse questions in aging research.

Data availability

Sequencing data have been deposited in GEO under accession code GSE121141

The following data sets were generated

(2018) DNA methylation of mouse tissues
NCBI Gene Expression Omnibus, GSE121141.

https://http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE121141

Article and author information

Author details

Margarita V Meer

Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States

Competing interests
The authors declare that no competing interests exist.
Dmitriy I Podolskiy

Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States

Competing interests
The authors declare that no competing interests exist.
Alexander Tyshkovskiy

Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States

Competing interests
The authors declare that no competing interests exist.
Vadim N Gladyshev

Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, United States

For correspondence
vgladyshev@rics.bwh.harvard.edu

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0002-0372-7016

Funding

National Institute on Aging (AG021518)

Vadim N Gladyshev

National Institute on Aging (AG047200)

Vadim N Gladyshev

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.