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Updated: May 7, 2026

Techniques to Induce and Quantify Cellular Senescence
Published on: May 1, 2017
Towards a context-aware framework for cellular senescence
Arnab Nath1, Parul Mehrotra2, Chiranjib Bhattacharyya3,4
1Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, Karnataka, 560012, India.
Cellular senescence is not a fixed state but a dynamic spectrum of phenotypes. Understanding these "senotypes" is key to developing targeted therapies, moving beyond the search for universal biomarkers.
Area of Science:
- Cellular Biology
- Aging Research
Background:
- Senescence has been traditionally viewed as a binary, irreversible state of growth arrest.
- This reductionist perspective has hindered the identification of universal senescence biomarkers and senolytic therapies.
Purpose of the Study:
- To challenge the binary view of senescence and propose a dynamic spectrum of cellular states.
- To advocate for context-specific strategies based on heterogeneous senescence phenotypes ('senotypes').
Main Methods:
- Review and synthesis of accumulated evidence on the dynamic nature of cellular senescence.
- Conceptual framework development for understanding senescence as a spectrum.
Main Results:
- Evidence suggests senescence is not strictly irreversible, with unstable growth arrest and partial reprogramming occurring.
- Cells exhibit a heterogeneous spectrum of phenotypes ('senotypes') influenced by various factors.
Conclusions:
- A shift towards recognizing a dynamic spectrum of senescence states is necessary.
- Future research should focus on mapping and utilizing these 'senotypes' for tailored therapeutic strategies.
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