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Techniques to Induce and Quantify Cellular Senescence
Published on: May 1, 2017
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Integrated multi-omics approach revealed cellular senescence landscape
Qiao Song1, Yuli Hou1, Yiyin Zhang2
1Department of Clinical laboratory, Xuanwu Hospital, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing 100053, PR China.
Nucleic Acids Research
|October 16, 2022
Summary
Cellular senescence, a key factor in aging, involves gene expression changes. This study maps the epigenetic landscape of senescence, identifying potential aging biomarkers NAT1, PBX1, and RRM2.
Area of Science:
- Gerontology and molecular biology
- Epigenetics and cellular aging
Background:
- Cellular senescence is crucial in aging and age-related diseases, involving altered gene expression and chromatin remodeling.
- Integrated multi-omics studies of the senescence epigenetic landscape are limited.
Purpose of the Study:
- To reveal the epigenetic landscape of cellular senescence using integrated multi-omics approaches.
- To identify key regulatory elements and potential biomarkers for aging and related diseases.
Main Methods:
- Performed ATAC-seq, RNA-seq, and ChIP-seq on various senescent cell types.
- Integrated multi-omics data to analyze chromatin accessibility and transcriptional regulation.
Main Results:
- Mapped the epigenetic landscape of cellular senescence.
- Identified 34 key genes, including NAT1, PBX1, and RRM2, as potential aging biomarkers.
- Revealed regulatory elements driving transcriptional changes in senescence.
Conclusions:
- Provides a comprehensive landscape for studying senescence dynamics and transcriptional regulation.
- Offers insights into the molecular mechanisms of senescence and identifies potential therapeutic targets.
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