ArticleAging biology2023
Single-Cell Transcriptomics Reveals Global Markers of Transcriptional Diversity across Different Forms of Cellular Senescence.
Article in Aging biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Disruption of CDK4/6-RARα-NF-κB axis attenuates senescence-associated inflammation and improves function during aging and following chemotherapy.Nature aging · 2026Article
- Immune surveillance and immune evasion of senescent cells.Nature reviews. Immunology · 2026Review
- SenFlag gene signature identifies senescent cells in mouse and human tissues through a conserved core transcriptional program.The EMBO journal · 2026Article
- Cellular senescence in Crohn's disease: a double-edged sword in intestinal fibrosis.Frontiers in immunology · 2026Review
- Advancing biological understanding of cellular senescence with computational multiomics.Nature genetics · 2025Review
- Senescence-Associated Chromatin Rewiring Promotes Inflammation and Transposable Element Activation.bioRxiv : the preprint server for biology · 2025Article
- SenNet recommendations for detecting senescent cells in different tissues.Nature reviews. Molecular cell biology · 2024Review
- Emerging insights in senescence: pathways from preclinical models to therapeutic innovations.npj aging · 2024Review
- Recovering single-cell expression profiles from spatial transcriptomics with scResolve.Cell reports methods · 2024Article
- HMGA1 orchestrates chromatin compartmentalization and sequesters genes into 3D networks coordinating senescence heterogeneity.Nature communications · 2024Article
- scResolve: Recovering single cell expression profiles from multi-cellular spatial transcriptomics.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Cellular senescence (CS) is a state of irreversible cell cycle arrest, and the accumulation of senescent cells contributes to age-associated organismal decline. The detrimental effects of CS are due to the senescence-associated secretory phenotype (SASP), an array of signaling molecules and growth factors secreted by senescent cells that contribute to the sterile inflammation associated with aging tissues. Recent studies, both in vivo and in vitro, have highlighted the heterogeneous nature of the senescence phenotype. Single-cell transcriptomics has revealed that oncogene-induced senescence (OIS) is characterized by the presence of subpopulations of cells expressing different SASP profiles. We have generated a comprehensive dataset via single-cell transcriptional profiling of genetically homogenous clonal cell lines from different forms of senescence, including OIS, replicative senescence, and DNA damage-induced senescence. We identified subpopulations of cells that are common to all three major forms of senescence and show that the expression profiles of these subpopulations are driven by markers formerly identified in individual forms of senescence. These common signatures are characterized by chromatin modifiers, inflammation, extracellular matrix remodeling, and ribosomal protein gene expression (measured at the RNA level). The expression patterns of these subpopulations recapitulate primary and juxtacrine secondary senescence, a phenomenon where a pre-existing (primary) senescent cell induces senescence in a neighboring (secondary) cell through cell-to-cell contact. Hence, our results demonstrate that the formation of juxtacrine secondary populations of cells is common to multiple types of senescence and occurs in competition with primary senescence. Finally, we show that these subpopulations show differential susceptibility to the senolytic agent Navitoclax, suggesting that senolytic agents targeting the apoptotic pathways may be clearing only a subset of senescent cells based on their inflammatory profiles.
Identifiers
What OpenQuestion holds
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.