The Ming Li Lab
The pervasive influence of the immune system on human health and disease underscores the importance of mechanistic understanding of immune regulation under pathophysiological conditions. Modern immunology is built on the foundation of clonal selection and pattern recognition theories that emphasize innate and adaptive immune recognition in controlling immune responses.
K. Xu, N. Yin, M. Peng, E.G. Stamatiades, A. Shyu, P. Li, X. Zhang, M.H. Do, Z. Wang, K.J. Capistrano, C. Chou, A.G. Levine, A.Y. Rudensky, M.O. Li. Glycolysis Fuels Phosphoinositide 3-Kinase Signaling to Bolster T Cell Immunity. Science 2021, 371: 405-410.
S. Li, M. Liu, M.H. Do, C. Chou, E.G. Stamatiades, B.G. Nixon, W. Shi, X. Zhang, P. Li, S. Gao, K.J. Capistrano, H. Xu, N.V. Cheung, M.O. Li. Cancer Immunotherapy via Targeted TGF-beta Signaling Blockade in TH Cells. Nature 2020, 587: 121-125.
Ming Li, PhD
- Immunologist Ming Li studies mechanisms of immune regulation, and their relevance to diseases including cancer.
- PhD, Columbia University
- Howard Hughes Medical Institute Faculty Scholar (2016)
- AAI-BD Biosciences Investigator Award for Outstanding Contributions to the Field of Immunology (2016)
- Scholar, Leukemia and Lymphoma Society (2014)
- Louise and Allston Boyer Young Investigator Award for Basic Research (2012)
- Scholar, American Cancer Society (2012)
- Scholar, Rita Allen Foundation (2008)
Lab News & Events
This seminar will be conducted by Zoom Webinar.
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Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.
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Ming Li discloses the following relationships and financial interests:
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This page and data include information for a specific MSK annual disclosure period (January 1, 2019 through disclosure submission in spring 2020). This data reflects interests that may or may not still exist. This data is updated annually.