ArticleeLife2018
A whole lifespan mouse multi-tissue DNA methylation clock.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
111 citing papers in PubMed, 1 synthesis or guideline pooled it.
- DNA methylation aging and transcriptomic studies in horses.Nature communications · 2022Pooled it
- Article
- A progeria syndrome links DNA hypermethylation to age-related pathology.Nature genetics · 2026Article
- Article
- Hypoxia-induced autophagic degradation of HIF-1α attenuates cellular aging and extends mammalian lifespan.Nature aging · 2026Article
- Unraveling the complexity of skin's biological aging utilizing epigenetic clocks.Clinical epigenetics · 2026Article
- Article
- An Extracellular Matrix Aging Clock Based on Circulating Matrisome Proteins Predicts Biological Aging and Disease.Aging cell · 2026Article
- Age-Like Methylation Changes of HSCs in GADD45B Knockout Mice Define Methylation Sites Associated With Loss of Function.Aging cell · 2026Article
- Article
- Postnatal conversion of methylcytosine to hydroxymethylcytosine reconfigures the human neuronal epigenome.bioRxiv : the preprint server for biology · 2026Article
- Pan-Epigenetic Age Prediction in Mammals.Aging cell · 2026Article
- A Manifold-Based Measure of Transcriptional Entropy for Quantifying Aging in Single Cells.bioRxiv : the preprint server for biology · 2026Article
- Autonomous AI Agents Discover Aging Interventions from Millions of Molecular Profiles.bioRxiv : the preprint server for biology · 2025Article
- Dietary and Pharmacological Modulation of Aging-Related Metabolic Pathways: Molecular Insights, Clinical Evidence, and a Translational Model.International journal of molecular sciences · 2025Review
- Organ Specificity and Commonality of Epigenetic Aging in Low- and High-Running Capacity Rats.Aging cell · 2025Observational
- MethAgingDB: a comprehensive DNA methylation database for aging biology.Scientific data · 2025Article
- Ecological Realism Accelerates Epigenetic Aging in Mice.Aging cell · 2025Article
- Burn Injuries Accelerate Biological Aging and Increase the Epigenetically Inferred Risk of Mortality and Frailty.Aging and disease · 2025Article
- Tracking single-cell evolution using clock-like chromatin accessibility loci.Nature biotechnology · 2025Article
51 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
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 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.