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Induction and Validation of Cellular Senescence in Primary Human Cells
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Cellular Senescence: Defining a Path Forward.

Vassilis Gorgoulis1, Peter D Adams2, Andrea Alimonti3

  • 1Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece; Biomedical Research Foundation, Academy of Athens, Athens, Greece; Faculty Institute for Cancer Sciences, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK; Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

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Summary
This summary is machine-generated.

This consensus defines cellular senescence biomarkers and provides a tool, SeneQuest, to identify senescence-associated genes. It offers an algorithm for accurate senescence assessment in cells and in vivo, aiding senotherapy research.

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Area of Science:

  • Cellular and Molecular Biology
  • Gerontology
  • Biomarker Discovery

Background:

  • Cellular senescence is a key factor in aging and age-related diseases.
  • Therapeutic targeting of senescence (senotherapy) is a rapidly growing field.
  • Accurate detection of senescent cells in vivo is crucial for senotherapy development.

Purpose of the Study:

  • To establish a consensus on the definition and detection of cellular senescence.
  • To provide recommendations for using senescence features as biomarkers.
  • To introduce the SeneQuest resource and a senescence assessment algorithm.

Main Methods:

  • Consensus development by the International Cell Senescence Association (ICSA).
  • Definition and discussion of key cellular and molecular senescence features.
  • Development of the SeneQuest gene identification tool and a senescence quantification algorithm.

Main Results:

  • A consensus definition and key features of cellular senescence are provided.
  • Recommendations for senescence biomarker utilization are offered.
  • The SeneQuest tool and a novel senescence assessment algorithm are presented.

Conclusions:

  • Accurate identification of senescent cells is essential for advancing senotherapy.
  • The ICSA consensus, SeneQuest, and the proposed algorithm facilitate senescence research.
  • These resources support the development of interventions for healthy aging and age-related diseases.