Evidence map›Paper›PMID 40898953›Full record

ArticleAging cell2025

Single-Cell Fluorescence Imaging Reveals Heterogeneity in Senescence Biomarkers and Identifies Rapamycin-Responsive Sub-Populations.

Vijayraghavan Seshadri, Charmaine Chng, Joel Tyler, Cestarangga Adikerta, Kaveh Baghaei, Yan Wang, Nuri Gueven, Sharon Ricardo, Iman Azimi

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Vijayraghavan SeshadriMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Charmaine ChngMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Joel TylerMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Cestarangga AdikertaMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Kaveh BaghaeiMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Yan WangMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Nuri GuevenSchool of Pharmacy and Pharmacology, College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
Sharon RicardoMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.
Iman AzimiMonash Biomedicine Discovery Institute, Department of Pharmacology, Monash University, Clayton, Victoria, Australia.

Funding

Monash UniversityUniversity of Tasmania
6 · The paper itself

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.

Indexed as

BiomarkersCellular SenescenceOptical ImagingSingle-Cell AnalysisSirolimusbeta-GalactosidaseFibroblastsHumansInterleukin-6Senescence-Associated Secretory Phenotypebeta-GalactosidaseBiomarkersInterleukin-6Sirolimus

Identifiers

PMID40898953
PMCPMC12507413

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.