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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.

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Summary
This summary is machine-generated.

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.

Keywords:
Cellular senescenceContext-dependent biomarkersSenescence heterogeneitySenescence spectrumSenolytic strategies

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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.