ArticleNature communications2024
scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- Sex-specific aging clocks from a large-scale human phenome reveal distinct aging transitions and circulating signatures.Nature aging · 2026Article
- DNA Methylation as a Programmable Information Layer: From Molecular Marks to Disease State Engineering.International journal of molecular sciences · 2026Review
- Cell-to-cell variability and gain of methylation at polycomb CpG islands as a hallmark of aging.Nature communications · 2026Article
- scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks.npj aging · 2026Article
- Single-cell analysis of the human immune system reveals sex-specific dynamics of immunosenescence.Nature aging · 2026Article
- A Multimodal Single-Cell Epigenomic and 3D Genome Atlas of the Human Basal Ganglia.bioRxiv : the preprint server for biology · 2026Article
- DNA methylation signatures of frailty beyond age: a longitudinal study of female and male mice.bioRxiv : the preprint server for biology · 2025Article
- Artificial intelligence for comprehensive DNA methylation analysis: overview, challenges, and future directions.Briefings in bioinformatics · 2025Review
- Regulation of cellular senescence in tumor progression and therapeutic targeting: mechanisms and pathways.Molecular cancer · 2025Review
- Histone mark age of human tissues and cell types.Science advances · 2025Article
- Single-cell multi-omics for precision cardiovascular and longevity medicine: from methods to clinical translation.Frontiers in aging · 2025Review
- Time is encoded by methylation changes at clustered CpG sites.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Ageing is the accumulation of changes and decline of function of organisms over time. The concept and biomarkers of biological age have been established, notably DNA methylation-based clocks. The emergence of single-cell DNA methylation profiling methods opens the possibility of studying the biological age of individual cells. Here, we generate a large single-cell DNA methylation and transcriptome dataset from mouse peripheral blood samples, spanning a broad range of ages. The number of genes expressed increases with age, but gene-specific changes are small. We next develop scEpiAge, a single-cell DNA methylation age predictor, which can accurately predict age in (very sparse) publicly available datasets, and also in single cells. DNA methylation age distribution is wider than technically expected, indicating epigenetic age heterogeneity and functional differences. Our work provides a foundation for single-cell and sparse data epigenetic age predictors, validates their functionality and highlights epigenetic heterogeneity during ageing.
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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.