PME Distinguished Colloquium Series Seminar - Mark Krasnow, MD. PhD

Topic: Single-cell mapping of the lung, its stem cells, and diseases<br /><br />

Mark Krasnow, MD, PhD, is the Paul and Mildred Berg Professor and past Chair of the Department of Biochemistry at Stanford University and an Investigator of the Howard Hughes Medical Institute. During his
MD and PhD (Biochemistry) at the University of Chicago, he worked with Nicholas Cozzarelli, elucidating the dynamic mechanisms of DNA topoisomerases and sitespecific recombination enzymes by applying novel topological approaches they developed for nucleic acid enzymology. In his postdoctorate at Stanford, he worked with David Hogness and discovered and characterized the transcriptional regulatory
functions of Drosophila developmental control proteins. He and his lab pioneered single-cell genetic and genomic approaches, including single-cell RNA sequencing to elucidate organ development and stem cell programs, focusing on the respiratory system. They started with Drosophila, where they defined the genes and molecular pathways controlling each of the fundamental steps in organogenesis. They developed similar approaches for mouse lungs and used them to define at single-cell resolution the progenitors, stem cells, and their niches for many lung cell types. They created a molecular cell atlas of the human lung, identifying 58 molecular cell types, 14 of which are new, including specialized cells and stem cells on each side (air and blood) of the alveolar gas exchange surface. They are using this comprehensive atlas to map the targeted cell types and how they are transformed in major lung diseases, including lung cancer, COPD/emphysema, pulmonary fibrosis, and respiratory infections such as Covid-19. He is a member of the National Academy of Sciences and the National Academy of Medicine (formerly Institute of Medicine) and a fellow of the American Academy of Arts and Sciences.

HOST: Prof. Joyce Chen<br /><br />

<a hred="https://uchicago.zoom.us/j/94847237150?pwd=aXAwWEVjNE5GSFRmQ0dMdnB3VEFL… Link</a>