ArticleAging cell2025
Single-Cell Fluorescence Imaging Reveals Heterogeneity in Senescence Biomarkers and Identifies Rapamycin-Responsive Sub-Populations.
Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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.
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Who cites it
2 citing papers in PubMed.
- Cellular Senescence in Diabetic Cardiomyopathy: Mechanistic Insights and Therapeutic Perspectives.Cardiovascular drugs and therapy · 2026Review
- Immunocyte senescence: A new perspective on the remodeling of the ovarian cancer microenvironment and therapeutic intervention.Journal of pharmaceutical analysis · 2026Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Cellular senescence is a state of irreversible cell cycle arrest accompanied by a distinctive inflammatory secretory profile known as the senescence-associated secretory phenotype (SASP). While various biomarkers, such as senescence-associated beta-galactosidase (SA-βgal), EdU incorporation, p21 and p16, are used to identify senescent cells, no single biomarker universally defines cellular senescence and current methods often fail to address heterogeneity in biomarker expression levels. This study leverages single-cell fluorescence imaging to assess multiple senescence markers including SA-βgal enzymatic activity, p21 and IL-6 expression and nuclear and cell area in chemotherapy-induced (mitomycin C) and oxidative stress-induced (D-galactose) senescence models in human fibroblasts. Our findings reveal significant heterogeneity in SA-βgal activity and distinct sub-populations within senescent cells. Nuclear and cell area measurements emerged as robust indicators of cellular senescence, displaying similar variability across individual cells. Importantly, we identified specific nuclear area sub-populations that strongly correlate with IL-6 expression levels, demonstrating a relationship between the heterogeneous expression of senescence biomarkers and the SASP. To address this heterogeneity, we introduced an induction threshold method to more accurately quantify the percentage of cells expressing senescence biomarkers. Furthermore, in both senescence models, we observed that rapamycin, a well-known senomorphic agent, selectively targets specific biomarker-expressing sub-populations. This study underscores the value of assessing cellular heterogeneity in senescence research and provides an improved approach for analysing senescence markers in diverse cellular contexts.
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Registered trials
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