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Updated: Mar 13, 2026

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Techniques to Induce and Quantify Cellular Senescence
Published on: May 1, 2017
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Replicative senescence induction in single cells is not predicted by telomere length, dysfunction, or oxidation
Victor Passanisi1, Sabrina L Spencer1
1Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80303, USA.
Iscience
|March 12, 2026
Summary
Cellular senescence, linked to aging diseases, is not reliably marked by telomere length or DNA damage response (DDR). Lysosomal content, cell size, and p21 are better indicators of this complex aging state transition.
Area of Science:
- Cell Biology
- Aging Research
- Genomics
Background:
- Cellular senescence, characterized by irreversible cell cycle arrest, contributes to age-related diseases.
- Current understanding suggests telomere dysfunction, including shortening, DNA damage response (DDR), and oxidation, drives replicative senescence.
- Aging primary human fibroblasts exhibit increased time in a non-cycling state and elevated senescence biomarkers.
Purpose of the Study:
- To investigate the reliability of telomere features as single-cell biomarkers for replicative senescence.
- To correlate cell-cycle dynamics with specific telomere characteristics in aging human fibroblasts.
- To identify robust cellular markers for senescence induction.
Main Methods:
- Utilized a high-throughput, long-term time-lapse imaging workflow.
- Integrated confocal imaging to map cell-cycle dynamics to telomere features within the same cell.
- Analyzed telomere length, DNA damage response (DDR), and telomere oxidation in aging primary human fibroblasts.
Main Results:
- Telomere length and DDR did not reliably distinguish cycling from non-cycling cells across different ages.
- Telomere oxidation was not associated with cell-cycle withdrawal in senescent cells.
- Lysosomal content, cell size, genomic architecture, and p21 expression were more reliable indicators of senescence induction.
Conclusions:
- Replicative senescence represents a complex state transition, not solely driven by telomere dysfunction.
- Current measurable telomere features show weak correlation with senescence.
- Lysosomal content, cell size, genomic architecture, and p21 are more dependable biomarkers for senescence.
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