A whole lifespan mouse multi-tissue DNA methylation clock

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 toward young ages. Here, we const...

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Vydáno v:eLife Ročník 7
Hlavní autoři: Meer, Margarita V, Podolskiy, Dmitriy I, Tyshkovskiy, Alexander, Gladyshev, Vadim N
Médium: Journal Article
Jazyk:angličtina
Vydáno: England eLife Sciences Publications Ltd 14.11.2018
eLife Sciences Publications, Ltd
Témata:
Age
Age Factors
Aging
Animals
biological age
Biomarkers
Chromosomes and Gene Expression
clock
CpG Islands
Datasets
Datasets as Topic
Deoxyribonucleic acid
DNA
DNA - genetics
DNA - metabolism
DNA Methylation
Epigenesis, Genetic
Female
Fibroblasts
Fibroblasts - cytology
Fibroblasts - metabolism
Gene expression
Genomes
Hippocampus - chemistry
Hippocampus - metabolism
Induced Pluripotent Stem Cells - cytology
Induced Pluripotent Stem Cells - metabolism
Life span
lifespan
Liver
Liver - chemistry
Liver - metabolism
Longevity - genetics
Lung - chemistry
Lung - metabolism
Male
Mice
Mice, Inbred Strains
Mice, Transgenic
Myocardium - chemistry
Myocardium - metabolism
Organ Specificity
Rejuvenation - physiology
Tools and Resources
United States > US
mouse
biological age
lifespan
chromosomes
DNA methylation
aging
clock
gene expression
ISSN:2050-084X, 2050-084X
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Popis
Shrnutí: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 toward 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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.40675