.jpg "Xu Zhang, PhD photo")
Research Associate
Mayo Clinic
Rochester, Minnesota, United States
I'm a Research Associate at Mayo Clinic. My research focus is on understanding the biology of cellular senescence and its implication in age-related diseases. My education and research experience have provided me with a strong track record in cellular and molecular biology, biochemistry, and preclinical studies. During my Ph. D training at the University of Science and Technology of China, I gained research experience on transcriptional and post-transcriptional regulation in bacteria (Zhang X., et al., 2015, BMC Microbiol; Xue T., Zhang X., et al., 2014, Med Microbiol Immunol). After receiving my Ph.D. degree, I extended my training on RNA regulation to eukaryotic systems, studying the RNA-binding protein-mediated regulation in mammalian cells using animal and cell models (Zhang X., et al., 2017 eLife). I was inspired and fascinated by cellular senescence and aging biology. This motivated me to pursue further training in Dr. LeBrasseur's lab in the Robert & Arlene Kogod Center on Aging. I applied my molecular biology expertise in investigating the causal role of cellular senescence to aging and aging-related diseases, particularly in skeletal muscle aging and age-related muscle dysfunction (Zhang X., et al., 2022, Nature Aging; Zhang X., et al., 2022, Exerc. Sport Sci. Rev.; Schafer MJ., Zhang X., et al., 2020, JCI Insight). To expand my data mining capabilities, I attended various courses in computational science and obtained expertise in bioinformatics. I have established a scRNAseq experimental and analytical pipeline in the lab to study the age-associated muscle dysfunction. I lead data analysis in multiple scRNA-seq projects to study senescence in skeletal muscle, brain, lung, and kidney in mice, as well as T cell in humans. I am following up on my findings from these studies trying to understand the role of senescence cells in age-related diseases which aligns with my career goal as an independent researcher.
Disclosure information not submitted.
Wednesday, November 2, 2022
6:00 PM – 7:00 PM ET
Friday, November 4, 2022
10:00 AM – 11:30 AM ET
Friday, November 4, 2022
10:00 AM – 11:30 AM ET