Professor
University at Buffalo
Department of Pharmaceutical Sciences
Wednesday
April 15, 2026
Rapid advances in protein analytical technologies and computational informatics have created unprecedented opportunities in proteomics, enabling the exploration of complex biological systems with high sensitivity, selectivity, and quantitative accuracy previously unattainable. These developments are transforming our ability to interrogate biological processes at scale and to uncover molecular mechanisms underlying disease onset/progression and therapeutic responses. Particularly, state-of-the-art proteomics enables high-dimensional characterization of dynamic biological cascades that evolve across both spatial and temporal dimensions, an essential but technically challenging goal in systems biology and translational research. Here I will present several global and targeted proteomics strategies developed in our group that enables in-depth and accurate interrogation of the biological cascades underlying disease and therapies. These include: (i) IonStar, an experimental strategy for robust and highly accurate quantification of tens of thousands of proteins across large cohorts; (ii) MASP, an innovation enabling deep proteome and phosphoproteome mapping, capable of mapping over 10,000 proteins and 30,000 phosphosites at the whole-tissue level; and
(iii)LC-FAIMS/dCV-MS, a targeted proteomics platform for sensitive and selective quantification of clinically relevant protein biomarkers.
These approaches enable both discovery-driven and hypothesis-guided investigations of proteome dynamics across space and time. Applications of these technologies in diverse clinical and preclinical systems will be discussed.
Dr. Jun Qu is a Profesor in the Department of Pharmaceutical Sciences at the University at Buffalo. He is also the Director of Pharmaceutical and Proteomic Analysis Division in the New York State Center of Excellence in Bioinformatics and Life Sciences (NYS-COE). His research is focused on the study of Clinical and Pharmaceutical Proteomics and Pharmaceutical Analysis uding LC/MS-based strategies. He has over 120 peer reviewed publications and has had over 60 grants funded as a PI or Co-I.
Dr. Qu earned his B. S. from Tsinghua University in Chemical Engineering, and his Ph. D. in Analytical Chemistry, also from Tsinghua University. He is also an Adjunct Professor in the Department of Ophthalmology and the Department o Biochemistry at the University at Buffalo.
Jun Qu
Professor
Department of Pharmaceutical Sciences
University at Buffalo
