ArticleNature aging2024
TIME-seq reduces time and cost of DNA methylation measurement for epigenetic clock construction.
Article in Nature aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Epigenetic regulation in atherosclerosis and its therapeutic potential.Nature reviews. Cardiology · 2026Review
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- Article
- Multitissue, multi-time point transcriptomic atlas of aging in mice and rats.Science advances · 2026Article
- Multiomic clocks to predict phenotypic age in mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Biological Age, Aging Clocks, and the Interplay with Lymphoid Neoplasms: Mechanisms and Clinical Frontiers.Lymphatics · 2025Article
- Sex differences in DNA methylation in bats.Annals of the New York Academy of Sciences · 2025Article
- Epigenetic ageing clocks: statistical methods and emerging computational challenges.Nature reviews. Genetics · 2025Review
- Tracking single-cell evolution using clock-like chromatin accessibility loci.Nature biotechnology · 2025Article
- estiMAge: development of a DNA methylation clock to estimate the methylation age of single cells.Bioinformatics advances · 2025Article
- Epigenetic Clocks: Beyond Biological Age, Using the Past to Predict the Present and Future.Aging and disease · 2024Review
- Time is encoded by methylation changes at clustered CpG sites.bioRxiv : the preprint server for biology · 2024Article
- Decoding senescence of aging single cells at the nexus of biomaterials, microfluidics, and spatial omics.npj aging · 2024Review
- Epigenomic biomarkers of cardiometabolic disease: How far are we from daily practice?Cardiovascular diabetology · 2024Article
- Decoding the phenotypic mosaic of aging.Nature aging · 2024Article
Corrections and comments
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Authors and funding
24 authors at 6 institutions in 3 countries.
Funding
Abstract
Epigenetic 'clocks' based on DNA methylation have emerged as the most robust and widely used aging biomarkers, but conventional methods for applying them are expensive and laborious. Here we develop tagmentation-based indexing for methylation sequencing (TIME-seq), a highly multiplexed and scalable method for low-cost epigenetic clocks. Using TIME-seq, we applied multi-tissue and tissue-specific epigenetic clocks in over 1,800 mouse DNA samples from eight tissue and cell types. We show that TIME-seq clocks are accurate and robust, enriched for polycomb repressive complex 2-regulated loci, and benchmark favorably against conventional methods despite being up to 100-fold less expensive. Using dietary treatments and gene therapy, we find that TIME-seq clocks reflect diverse interventions in multiple tissues. Finally, we develop an economical human blood clock (R > 0.96, median error = 3.39 years) in 1,056 demographically representative individuals. These methods will enable more efficient epigenetic clock measurement in larger-scale human and animal studies.
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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.