Xiao Dong

Assistant Professor

University of Minnesota
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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

UNITED STATES
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Jan Vijg

Albert Einstein College of Medicine

UNITED STATES
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LEI ZHANG

University of Minnesota

UNITED STATES
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Lei Zhang

University of Minnesota

UNITED STATES
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