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Related Concept Videos

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Replicative Cell Senescence

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Replicative cell senescence is a property of cells that allows them to divide a finite number of times throughout the organism's lifespan while preventing excessive proliferation. Replicative senescence is associated with the gradual loss of the telomere — short, repetitive DNA sequences found at the end of the chromosomes. Telomeres are bound by a group of proteins to form a protective cap on the ends of chromosomes. Embryonic stem cells express telomerase — an enzyme that adds...
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Multifactorial Imaging Analysis as a Platform for Studying Cellular Senescence Phenotypes.

Shatalova Rimma1, Larin Ilya1, Shevyrev Daniil1

  • 1Translational Medicine Research Center, Sirius University of Science and Technology, Federal Territory Sirius, Olympic Ave. 1, 354340 Sirius, Russia.

Journal of Imaging
|October 28, 2025
PubMed
Summary

This study introduces a new imaging platform to better identify cellular senescence, a state of stable cell aging. The multimodal approach overcomes limitations of current markers, enabling more accurate characterization of senescence phenotypes.

Keywords:
cellular senescencemultimodal imagingmultiparametric analysisreplicative senescencestress-induced premature senescence

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Area of Science:

  • Cell Biology
  • Gerontology
  • Biotechnology

Background:

  • Cellular senescence is a complex state of stable cell cycle arrest with diverse markers like SA-β-galactosidase and p53.
  • Existing senescence markers have limitations in sensitivity, specificity, and context-dependency.
  • Accurate characterization of senescence phenotypes is crucial for understanding aging and age-related diseases.

Purpose of the Study:

  • To develop and validate a multifactorial imaging platform for comprehensive characterization of cellular senescence phenotypes.
  • To integrate structural and functional readouts across multiple imaging modalities.
  • To overcome the challenges posed by senescence heterogeneity and improve reproducibility.

Main Methods:

  • Integration of scanning electron microscopy, flow cytometry, and high-resolution confocal microscopy.
  • Utilized LysoTracker, MitoTracker, SA-β-gal/FACS, and p16INK4a immunostaining.
  • Applied the platform to in vitro models: replicative aging, genotoxic stress, and primary fibroblasts from different age groups.

Main Results:

  • The multimodal imaging framework successfully identified senescence phenotypes across different models.
  • Combined nutrient deprivation and genotoxic stress induced the most significant organelle alterations, correlating with age.
  • The platform demonstrated reduced impact of phenotypic heterogeneity and provided reproducible multiparametric endpoints.

Conclusions:

  • The developed imaging platform offers a robust and extensible framework for characterizing cellular senescence.
  • It enables detection of established and emerging senescence phenotypes, including drug-induced shifts.
  • The platform is suitable for comparative studies, screening senolytics and geroprotectors, and refining senescence state definitions.