ArticleNucleic acids research2023
AgeAnno: a knowledgebase of single-cell annotation of aging in human.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Immunotherapy and senolytics in head and neck squamous cell carcinoma: phase 2 trial results.Nature medicine · 2025Trial
- Coordinated transcriptional shifts in microglia and oligodendrocytes from neurodevelopment to inflammaging.npj aging · 2026Article
- Human-scATAC-Corpus: a comprehensive database of scATAC-seq data.Nucleic acids research · 2026Article
- Senescence-driven molecular subtyping in pancreatic cancer: a multi-omics framework for precision medicine.BMC cancer · 2025Article
- Discovering Candidate Anti-Aging Perturbations Using a Foundation Model for Gene Expression.International journal of molecular sciences · 2025Article
- Article
- Human Cell Aging Transcriptome Atlas (HCATA): a single-cell atlas of age-associated transcriptomic alterations across human tissues.Communications biology · 2025Article
- A Machine-Learning Approach Identifies Rejuvenating Interventions in the Human Brain.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Unlocking biological insights from differentially expressed genes: Concepts, methods, and future perspectives.Journal of advanced research · 2025Review
- Cellular senescence in renal ischemia-reperfusion injury.Chinese medical journal · 2025Review
- MethAgingDB: a comprehensive DNA methylation database for aging biology.Scientific data · 2025Article
- Senescence-specific molecular subtypes stratify the hallmarks of the tumor microenvironment and guide precision medicine in bladder cancer.BMC cancer · 2025Article
- Multisensory gamma stimulation enhances adult neurogenesis and improves cognitive function in male mice with Down Syndrome.PloS one · 2025Article
- Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.Frontiers in immunology · 2025Article
- Opposite aging effects among cell subsets revealed in the human transcriptome and epigenome.microPublication biology · 2025Article
- Exploring and analyzing two aging related genes FPR1 and UCHL1 and their potential molecular mechanisms in aggravating lumbar disc herniation.Journal of orthopaedic surgery and research · 2024Article
- Aging2Cancer: an integrated resource for linking aging to tumor multi-omics data.BMC genomics · 2024Article
- scBlood: A comprehensive single-cell accessible chromatin database of blood cells.Computational and structural biotechnology journal · 2024Article
- SCInter: A comprehensive single-cell transcriptome integration database for human and mouse.Computational and structural biotechnology journal · 2024Article
- Predicting lung aging using scRNA-Seq data.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Aging is a complex process that accompanied by molecular and cellular alterations. The identification of tissue-/cell type-specific biomarkers of aging and elucidation of the detailed biological mechanisms of aging-related genes at the single-cell level can help to understand the heterogeneous aging process and design targeted anti-aging therapeutics. Here, we built AgeAnno (https://relab.xidian.edu.cn/AgeAnno/#/), a knowledgebase of single cell annotation of aging in human, aiming to provide comprehensive characterizations for aging-related genes across diverse tissue-cell types in human by using single-cell RNA and ATAC sequencing data (scRNA and scATAC). The current version of AgeAnno houses 1 678 610 cells from 28 healthy tissue samples with ages ranging from 0 to 110 years. We collected 5580 aging-related genes from previous resources and performed dynamic functional annotations of the cellular context. For the scRNA data, we performed analyses include differential gene expression, gene variation coefficient, cell communication network, transcription factor (TF) regulatory network, and immune cell proportionc. AgeAnno also provides differential chromatin accessibility analysis, motif/TF enrichment and footprint analysis, and co-accessibility peak analysis for scATAC data. AgeAnno will be a unique resource to systematically characterize aging-related genes across diverse tissue-cell types in human, and it could facilitate antiaging and aging-related disease 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.