ArticleMolecular neurodegeneration2022
The landscape of human tissue and cell type specific expression and co-regulation of senescence genes.
Article in Molecular neurodegeneration, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
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Who cites it
88 citing papers in PubMed, 106 citations in OpenAlex.
- 3'UTR-directed, kinase-proximal mRNA decay inhibits C/EBPβ phosphorylation/activation to suppress senescence in tumor cells.iScience · 2026Article
- Aging of hair follicle stem cells and their niche: mechanisms and regenerative therapeutic strategies.Cell communication and signaling : CCS · 2026Review
- Epigenetic dynamics of cellular senescence: From mechanistic insights to precision senotherapy.Chinese medical journal · 2026Review
- Locus-specific LINE-1 mRNA expression reflects cell-type- and stimulus-specific senescence states.Nucleic acids research · 2026Article
- SenSet defines cell-type specific senescence signatures in the aged human lung.The EMBO journal · 2026Article
- Mosaic: Single-Cell Atlas of Stress.Cells · 2026Review
- The Emerging Role of Senolytics as a Next-Generation Strategy Against Glioma Recurrence: A Narrative Review.Cancers · 2026Review
- Bridging Psychological Stress and Skin Cellular Aging: Flavonoids as a Dual-Action Therapeutic Strategy.Phytotherapy research : PTR · 2026Review
- Decoding the functions of nuclear speckles in neurodegeneration.Trends in neurosciences · 2026Review
- Mapping the Hypoxic Fitness Landscape of Retinal Pigment Epithelial Cells.International journal of molecular sciences · 2026Article
- ICE: robust detection of cellular senescence from weak single-cell signatures using imputation-based marker refinement.Genome biology · 2026Article
- Single-cell atlas of human lung aging identifies cell type dyssynchrony and increased transcriptional entropy.Nature communications · 2026Article
- Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026Review
- Cellular senescence in Crohn's disease: a double-edged sword in intestinal fibrosis.Frontiers in immunology · 2026Review
- Nanoparticle-Based Tools to Study Hallmarks of Aging at the Molecular Level.International journal of nanomedicine · 2026Review
- Associations Between Immune Senescence and Immune Reconstitution Among People Living With HIV Undergoing Antiretroviral Therapy.Journal of immunology research · 2026Article
- Integrative Transcriptomic Analysis Decodes the Interplay Between Aging, Senescence, and Cancer.Cancer science · 2025Article
- Identifying the role of aging-related genes in intracranial aneurysms through bioinformatics analysis.Chinese neurosurgical journal · 2025Article
- An age-related decrease in leptin contributes to CD8Cell reports. Medicine · 2025Article
- Systemic comparison of molecular characteristics in different skin fibroblast senescent models.Chinese medical journal · 2025Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundCellular senescence is a complex stress response that impacts cellular function and organismal health. Multiple developmental and environmental factors, such as intrinsic cellular cues, radiation, oxidative stress, oncogenes, and protein accumulation, activate genes and pathways that can lead to senescence. Enormous efforts have been made to identify and characterize senescence genes (SnGs) in stress and disease systems. However, the prevalence of senescent cells in healthy human tissues and the global SnG expression signature in different cell types are poorly understood.
methodsThis study performed an integrative gene network analysis of bulk and single-cell RNA-seq data in non-diseased human tissues to investigate SnG co-expression signatures and their cell-type specificity.
resultsThrough a comprehensive transcriptomic network analysis of 50 human tissues in the Genotype-Tissue Expression Project (GTEx) cohort, we identified SnG-enriched gene modules, characterized SnG co-expression patterns, and constructed aggregated SnG networks across primary tissues of the human body. Our network approaches identified 51 SnGs highly conserved across the human tissues, including CDKN1A (p21)-centered regulators that control cell cycle progression and the senescence-associated secretory phenotype (SASP). The SnG-enriched modules showed remarkable cell-type specificity, especially in fibroblasts, endothelial cells, and immune cells. Further analyses of single-cell RNA-seq and spatial transcriptomic data independently validated the cell-type specific SnG signatures predicted by the network analysis.
conclusionsThis study systematically revealed the co-regulated organizations and cell type specificity of SnGs in major human tissues, which can serve as a blueprint for future studies to map senescent cells and their cellular interactions in human tissues.
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