Analysis of Somatic Mutations in Senescent Cells Using Single-Cell Whole-Genome Sequencing-Reference-Cited by-同舟云学术

Analysis of Somatic Mutations in Senescent Cells Using Single-Cell Whole-Genome Sequencing

Published:2023-06-29 Issue:1 Volume:1 Page:20230005
ISSN:
Container-title:Aging Biology
language:en
Short-container-title:AgingBio

Author:

Dong Xiao¹²,Sedivy John M.³,Vijg Jan⁴⁵,Zhang Lei¹⁶,De Cecco Marco³,Lee Moonsook⁴,Hao Xiaoxiao⁴,Maslov Alexander Y.⁴⁷,Montagna Cristina⁸,Campisi Judith⁹¹⁰

Affiliation:

1. Institute on the Biology of Aging and Metabolism, University of Minnesota

2. Department of Genetics, Cell Biology and Development, University of Minnesota

3. Department of Molecular Biology, Cell Biology and Biochemistry, and Center on the Biology of Aging, Brown University

4. Department of Genetics, Albert Einstein College of Medicine

5. Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine

6. Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota

7. Laboratory of Applied Genomic Technologies, Voronezh State University of Engineering Technology

8. Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey

9. Buck Institute for Research on Aging

10. Lawrence Berkeley National Laboratory

Publisher

Aging Biology LLC

Subject

General Medicine,General Medicine,General Medicine,General Computer Science,General Medicine,Automotive Engineering,Industrial and Manufacturing Engineering,General Earth and Planetary Sciences,General Environmental Science,General Medicine,General Medicine

Reference39 articles.

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3. Single-cell analysis reveals different age-related somatic mutation profiles between stem and differentiated cells in human liver;Brazhnik;Sci. Adv.,2020

4. Single-cell analysis of somatic mutations in human bronchial epithelial cells in relation to aging and smoking;Huang;Nat. Genet.,2022

5. Aging and neurodegeneration are associated with increased mutations in single human neurons;Lodato;Science,2018

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1. Analyzing somatic mutations by single-cell whole-genome sequencing;Nature Protocols;2023-11-23