Epigenetic age-predictor for mice based on three CpG sites

Epigenetic clocks for mice were generated based on deep-sequencing analysis of the methylome. Here, we demonstrate that site-specific analysis of DNA methylation levels by pyrosequencing at only three CG dinucleotides (CpGs) in the genes Prima1, Hsf4, and Kcns1 facilitates precise estimation of chro...

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Autores principales: Han, Yang, Eipel, Monika, Franzen, Julia, Sakk, Vadim, Dethmers-Ausema, Bertien, Yndriago, Laura, Izeta, Ander, de Haan, Gerald, Geiger, Hartmut, Wagner, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156076/
https://www.ncbi.nlm.nih.gov/pubmed/30142075
http://dx.doi.org/10.7554/eLife.37462
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author Han, Yang
Eipel, Monika
Franzen, Julia
Sakk, Vadim
Dethmers-Ausema, Bertien
Yndriago, Laura
Izeta, Ander
de Haan, Gerald
Geiger, Hartmut
Wagner, Wolfgang
author_facet Han, Yang
Eipel, Monika
Franzen, Julia
Sakk, Vadim
Dethmers-Ausema, Bertien
Yndriago, Laura
Izeta, Ander
de Haan, Gerald
Geiger, Hartmut
Wagner, Wolfgang
author_sort Han, Yang
collection PubMed
description Epigenetic clocks for mice were generated based on deep-sequencing analysis of the methylome. Here, we demonstrate that site-specific analysis of DNA methylation levels by pyrosequencing at only three CG dinucleotides (CpGs) in the genes Prima1, Hsf4, and Kcns1 facilitates precise estimation of chronological age in murine blood samples, too. DBA/2 mice revealed accelerated epigenetic aging as compared to C57BL6 mice, which is in line with their shorter life-expectancy. The three-CpG-predictor provides a simple and cost-effective biomarker to determine biological age in large intervention studies with mice.
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spelling pubmed-61560762018-09-25 Epigenetic age-predictor for mice based on three CpG sites Han, Yang Eipel, Monika Franzen, Julia Sakk, Vadim Dethmers-Ausema, Bertien Yndriago, Laura Izeta, Ander de Haan, Gerald Geiger, Hartmut Wagner, Wolfgang eLife Developmental Biology Epigenetic clocks for mice were generated based on deep-sequencing analysis of the methylome. Here, we demonstrate that site-specific analysis of DNA methylation levels by pyrosequencing at only three CG dinucleotides (CpGs) in the genes Prima1, Hsf4, and Kcns1 facilitates precise estimation of chronological age in murine blood samples, too. DBA/2 mice revealed accelerated epigenetic aging as compared to C57BL6 mice, which is in line with their shorter life-expectancy. The three-CpG-predictor provides a simple and cost-effective biomarker to determine biological age in large intervention studies with mice. eLife Sciences Publications, Ltd 2018-08-24 /pmc/articles/PMC6156076/ /pubmed/30142075 http://dx.doi.org/10.7554/eLife.37462 Text en © 2018, Han et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Developmental Biology
Han, Yang
Eipel, Monika
Franzen, Julia
Sakk, Vadim
Dethmers-Ausema, Bertien
Yndriago, Laura
Izeta, Ander
de Haan, Gerald
Geiger, Hartmut
Wagner, Wolfgang
Epigenetic age-predictor for mice based on three CpG sites
title Epigenetic age-predictor for mice based on three CpG sites
title_full Epigenetic age-predictor for mice based on three CpG sites
title_fullStr Epigenetic age-predictor for mice based on three CpG sites
title_full_unstemmed Epigenetic age-predictor for mice based on three CpG sites
title_short Epigenetic age-predictor for mice based on three CpG sites
title_sort epigenetic age-predictor for mice based on three cpg sites
topic Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6156076/
https://www.ncbi.nlm.nih.gov/pubmed/30142075
http://dx.doi.org/10.7554/eLife.37462
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