ArticleAging2023
Single-cell transcriptomic analysis uncovers diverse and dynamic senescent cell populations.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
46 citing papers in PubMed, 42 citations in OpenAlex.
- Genomic, epigenomic and transcriptomic regulation of cellular senescence.Nature reviews. Genetics · 2026Review
- Crocin I delays cellular senescence potentially via modulating SIRT1/PKM2 expression to improve lactate homeostasisExperimental and therapeutic medicine · 2026Article
- Disruption of CDK4/6-RARα-NF-κB axis attenuates senescence-associated inflammation and improves function during aging and following chemotherapy.Nature aging · 2026Article
- Chromatin topology and distal elements underlie divergent cell-type-specific regulation of 9p21 locus cell cycle genes.Cell genomics · 2026Article
- SenFlag gene signature identifies senescent cells in mouse and human tissues through a conserved core transcriptional program.The EMBO journal · 2026Article
- Distinct roles of COPI proteins attenuated in cell senescence.Science advances · 2026Article
- Fueling the fire: metabolic dysfunction and senescence as drivers of lung aging and disease.Physiological reviews · 2026Review
- DataXflowGen for GenAI-driven model generation.Scientific reports · 2026Article
- Cell-type resolved transcriptional network analysis of in vivo cellular senescence following injury.PLoS computational biology · 2026Article
- Identifying clinically relevant cell state interactions in the tumor microenvironment of IDH-mutant gliomas using CSI-TME.Molecular systems biology · 2026Article
- Transcriptional Profiling at Single-Cell Resolution Reveals Diversity and Regulatory Networks of Primary and Secondary Senescent Cells.Aging cell · 2026Article
- Reevaluating the senolytic activity of a GLS1 inhibitor and an anti-PD-1 antibody: toward greater reproducibility and methodological rigor.EMBO reports · 2026Article
- Mosaic: Single-Cell Atlas of Stress.Cells · 2026Review
- A transcriptomic analysis reveals shared and inducer-specific expression patterns of cellular senescence.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell Profiling Reveals RAB13Aging cell · 2026Article
- Ensemble of Time-Evolving SASP Gene Sets Identifies IGFBP7 and CDKN1A as a Potential Marker Pair for Senescent Fibroblast Subpopulations Across Tissues.International journal of molecular sciences · 2026Article
- Senescence profiling and biomarker identification in cell product based on adipose tissue-derived mesenchymal stromal cells.Stem cells translational medicine · 2026Article
- Comparative analysis of senolytic drugs reveals mitochondrial determinants of efficacy and resistance.Nature aging · 2026Article
- Reducing Bias in Mass Cytometry Data through Corrections for Spillover and Nonspecific Binding.Analytical chemistry · 2026Article
- Chimeric Antigen Receptor T Cells as Living Therapeutics Targeting Senescence and Age-Related Diseases.Research (Washington, D.C.) · 2026Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Senescence is a state of enduring growth arrest triggered by sublethal cell damage. Given that senescent cells actively secrete proinflammatory and matrix-remodeling proteins, their accumulation in tissues of older persons has been linked to many diseases of aging. Despite intense interest in identifying robust markers of senescence, the highly heterogeneous and dynamic nature of the senescent phenotype has made this task difficult. Here, we set out to comprehensively analyze the senescent transcriptome of human diploid fibroblasts at the individual-cell scale by performing single-cell RNA-sequencing analysis through two approaches. First, we characterized the different cell states in cultures undergoing senescence triggered by different stresses, and found distinct cell subpopulations that expressed mRNAs encoding proteins with roles in growth arrest, survival, and the secretory phenotype. Second, we characterized the dynamic changes in the transcriptomes of cells as they developed etoposide-induced senescence; by tracking cell transitions across this process, we found two different senescence programs that developed divergently, one in which cells expressed traditional senescence markers such as
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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.