Xiao Dong
Assistant Professor
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About
Dr. Xiao Dong is an Assistant Professor at the University of Minnesota, USA. His research areas include cellular senescence, transcriptomic signatures, and somatic mutations, as demonstrated in his recent publications. He employs machine learning techniques to analyze transcriptome data and detect low-abundance mutations, contributing significantly to the understanding of aging and genomic integrity.
Articles (10)
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Postzygotic somatic mutations have been found associated with human disease, including diseases other than cancer. Most information on somatic mutations has come from studying clonally amplified mutant cells, based on a growth advantage or genetic drift. However, almost all somatic mutations are unique for each cell, and the quantitative analysis of these low-abundance mutations in normal tissues remains a major challenge in biology. Here, we introduce single-molecule mutation sequencing (SMM-seq), a novel approach for quantitative identification of point mutations in normal cells and tissues.
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Collaborators (4)
Xiao Tian
Assistant Professor
Sanford Burnham Prebys Medical Discovery Institute
Jan Vijg
Albert Einstein College of Medicine
LEI ZHANG
University of Minnesota
Lei Zhang
University of Minnesota
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