ArticleNature communications2022
A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 740 papers.
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Who cites it
740 citing papers in PubMed, 894 citations in OpenAlex.
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- Stem cell senescence as a regenerative bottleneck in age-related skeletal degeneration: Mechanistic crosstalk and translational strategies.Regenerative therapy · 2026Review
- Whole blood transcriptional signatures of age and survival identified in long life family and integrative longevity omics studies.GeroScience · 2026Article
- Decline of chaperone-mediated autophagy in aging impairs macrophage clearance of senescent cells.Nature aging · 2026Article
- Mechanistic reprogramming of the mtDNA-cGAS-STING axis in cellular senescence: from mitochondrial homeostatic disruption to inflammatory and immune outcomes.Biogerontology · 2026Review
- Therapeutic Immune Reprogramming by Rapamycin Attenuates Plaque Inflammation and Lymphoid Immune Responses in Aged Atherosclerotic Mice.Aging cell · 2026Article
- uPAR-Targeting T Cell Engager Exerts Senolytic Effects in Mice and Non-Human Primates With Serum Aminotransferase Activity as a Safety Monitor.Aging cell · 2026Article
- A compendium of circulating biomarkers of senescence in humans: Insights on mechanistic impact across health domains and modulation by therapeutic interventions.Ageing research reviews · 2026Review
- Senolytics dasatinib and quercetin in metabolic dysfunction-associated steatohepatitis: a proof-of-principle randomized, controlled trial.Nature metabolism · 2026Article
- Novel Flavonoid Senotherapeutics Identified by Phenotypic Drug Discovery Reduce Senescence and Improve Multiple Markers of Healthspan.Aging cell · 2026Article
- Bone Marrow Microenvironment Drives Mature Neutrophil to a CD83International journal of cancer · 2026Article
- Multiscale harmonization, semantic integration, and immersive exploration of single-cell data in support of novel biological insights.bioRxiv : the preprint server for biology · 2026Article
- Hierarchical Nanoplatform Integrating Oxidative-Acidic Microenvironment Remodeling and Bone Homeostasis Modulation for Diabetic Bone Defect Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Age-associated Autoimmunity Driven by T cell Immunosenescence.bioRxiv : the preprint server for biology · 2026Article
- Senescent Cell Heterogeneity: Tissue-Dependent Signatures and Age Dynamics Revealed by Human scRNA-Seq Data.International journal of molecular sciences · 2026Article
- Endothelial C/EBPβ/AEP pathway drives vascular deterioration and systemic aging.Science advances · 2026Article
- Deciphering senescence-associated mechanisms through cell painting & transcriptomics.npj aging · 2026Article
- Integrated Transcriptomic Analysis Identifies a Candidate INHBA/Activin A-Associated Macrophage-MuSC Communication Axis in Human Skeletal Muscle Ageing.International journal of molecular sciences · 2026Article
- Quantitative proteomics reveals coordinated changes in the proteome during replicative senescence.Nature communications · 2026Article
- Alternative Splicing Constitutes a Transcription-independent Regulatory Layer in Replicative Senescence of Human Umbilical Cord Mesenchymal Stem Cells.Stem cell reviews and reports · 2026Article
680 more citing papers are in PubMed but not listed here.
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Authors and funding
19 authors at 5 institutions in 2 countries.
Funding
Abstract
Although cellular senescence drives multiple age-related co-morbidities through the senescence-associated secretory phenotype, in vivo senescent cell identification remains challenging. Here, we generate a gene set (SenMayo) and validate its enrichment in bone biopsies from two aged human cohorts. We further demonstrate reductions in SenMayo in bone following genetic clearance of senescent cells in mice and in adipose tissue from humans following pharmacological senescent cell clearance. We next use SenMayo to identify senescent hematopoietic or mesenchymal cells at the single cell level from human and murine bone marrow/bone scRNA-seq data. Thus, SenMayo identifies senescent cells across tissues and species with high fidelity. Using this senescence panel, we are able to characterize senescent cells at the single cell level and identify key intercellular signaling pathways. SenMayo also represents a potentially clinically applicable panel for monitoring senescent cell burden with aging and other conditions as well as in studies of senolytic drugs.
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