ArticleNature aging2023
Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain.
Article in Nature aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.
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Who cites it
129 citing papers in PubMed.
- Suppressing neural stem cell PLA2G7 restores inhibitory circuit function and improves cognition in aging mice.Nature aging · 2026Article
- Novel RNA transcript signatures for accurate age prediction using RNA profiling.International journal of legal medicine · 2026Article
- Sex-specific trajectories of nonlinear immune aging at single-cell level.Nature communications · 2026Article
- Dilating the aging clock with light.Innovation (Cambridge (Mass.)) · 2026Review
- The OmniAge compendium of aging omic biomarkers links mitotic clocks to clonal hematopoiesis and causality.Nature communications · 2026Article
- Distinct cell type-specific mechanisms underlie cognitive dysfunction during persistent integrated stress response activation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Multimodal Deep Learning Reveals the Modular Genetic Architecture of Cardiovascular Aging.medRxiv : the preprint server for health sciences · 2026Article
- Plasma proteomic signatures of cellular aging predict human disease.Nature medicine · 2026Article
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- Call your AI agent.Nature methods · 2026Article
- Proteomic aging clocks in epidemiological studies: advances, applications and prospects.Nature aging · 2026Review
- Review
- Type-1 interferons associated with microglial-mediated neuroinflammation in Alzheimer's disease.Journal of neuroinflammation · 2026Review
- A multi-omic atlas in the African turquoise killifish reveals increased glucocorticoid signaling as a hallmark of brain aging.bioRxiv : the preprint server for biology · 2026Article
- spRefine denoises and imputes spatial transcriptomic data with a reference-free framework powered by genomic language model.Genome research · 2026Article
- scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks.npj aging · 2026Article
- Blood as the mirror and modulator of aging: mechanistic insights and rejuvenation strategies.Experimental & molecular medicine · 2026Review
- Determining the age of single cells using scMLEAge.bioRxiv : the preprint server for biology · 2026Article
- Pushing the boundaries of autonomous biological discovery.Nature methods · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
69 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors.
Funding
Abstract
The diversity of cell types is a challenge for quantifying aging and its reversal. Here we develop 'aging clocks' based on single-cell transcriptomics to characterize cell-type-specific aging and rejuvenation. We generated single-cell transcriptomes from the subventricular zone neurogenic region of 28 mice, tiling ages from young to old. We trained single-cell-based regression models to predict chronological age and biological age (neural stem cell proliferation capacity). These aging clocks are generalizable to independent cohorts of mice, other regions of the brains, and other species. To determine if these aging clocks could quantify transcriptomic rejuvenation, we generated single-cell transcriptomic datasets of neurogenic regions for two interventions-heterochronic parabiosis and exercise. Aging clocks revealed that heterochronic parabiosis and exercise reverse transcriptomic aging in neurogenic regions, but in different ways. This study represents the first development of high-resolution aging clocks from single-cell transcriptomic data and demonstrates their application to quantify transcriptomic rejuvenation.
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