Please join us for a UW Data Science Seminar event on Wednesday, May 1st from 4:30 to 5:20 p.m. PDT. The seminar will feature Jihoon Lee, an MD-PhD candidate in the Medical Scientist Training Program at the UW.
The seminar will be held in the Physics/Astronomy Auditorium (PAA), Room A118 – campus map.
“Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19”
Abstract:
A better understanding of the metabolic alterations in immune cells during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may elucidate the wide diversity of clinical symptoms experienced by individuals with coronavirus disease 2019 (COVID-19). Here, we report the metabolic changes associated with the peripheral immune response of 198 individuals with COVID-19 through an integrated analysis of plasma metabolite and protein levels as well as single-cell multiomics analyses from serial blood draws collected during the first week after clinical diagnosis. We document the emergence of rare but metabolically dominant T cell subpopulations and find that increasing disease severity correlates with a bifurcation of monocytes into two metabolically distinct subsets. This integrated analysis reveals a robust interplay between plasma metabolites and cell-type-specific metabolic reprogramming networks that is associated with disease severity and could predict survival.
Biography: Jihoon Lee is an MD-PhD student at the UW. Jihoon’s research interests are in development of adoptive cell therapies for precise targeting of cancer, and the use of systems biology to understand and improve these therapies. His work has focused on integrated analyses of cell functional, phenotypic, and various layers of molecular data to infer critical molecular changes that affect cell behavior. Jihoon was previously at Caltech, where he obtained a BS in Bioengineering. He recently completed his PhD training and is now finishing up his MD training as part of the UW Medical Scientist Training Program.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.