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Wenxiang Hu Principal Investigator Guangzhou Laboratory
Wenxiang Hu, Principal Investigator of the Department of Basic Research at the Guangzhou Laboratory. He is a selected participant of the National Major Talent Project (Youth), a high-level talent in Guangdong Province, and an elite talent in the Huangpu District. He obtained his bachelor's degree in 2008 from University of Science and Technology of China. In 2014, he completed his doctoral studies at the Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, where he conducted research on cell reprogramming under the guidance of Dr. Pei Gang. From 2015 to 2021, he worked as a postdoctoral researcher at the University of Texas Southwestern Medical Center and the laboratory of Dr. Mitchell Lazar at the University of Pennsylvania. During this time, his research focused on the mechanisms of metabolic diseases and precision medicine using stem cells and functional genomics. He joined the Guangzhou Laboratory in May 2021. His relevant research findings have been published as the first or corresponding author in journals such as Cell Metabolism, Cell Stem Cell (2015, 2019), Cell Research, Genes & Development, and JBC. He has also been invited as a corresponding author to write review articles in Nature Reviews Endocrinology and SCIENTIA SINICA Vitae. His articles have been cited over 1,200 times. He has received awards such as the 2022 Top Ten Clinical Research Award finalist, Merit Award and Travel Award at the 2019 International Stem Cell Research Conference, the American Diabetes Association Postdoctoral Fellowship, the Guo Moruo Scholarship (the highest scholarship at the University of Science and Technology of China), and the National Scholarship. Currently, he serves as the principal investigator of one National Natural Science Foundation general project.
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Our lab is dedicated to studying the genetic and epigenetic basis of metabolic diseases and respiratory diseases using stem cells, mouse models, functional genomics, gene editing, and bioinformatics analysis.
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