Huang Lab

The Huang Lab was established in 2009 at the University of Chicago and has since been active in conducting pharmacogenomic research. In 2017, our laboratory moved to the University of Minnesota, where we continue that research.

Our main research focus is translational pharmacogenomics with a particular interest in the pharmacogenomics of anticancer agents. By systematically evaluating the human genome and its relationships to drug response and toxicity, our goal is to develop clinically useful models that predict risk for adverse drug reactions and nonresponse prior to administration of chemotherapy. Specifically, the theme of our research evolved around the idea of cell-based pharmacogenomics, which utilizes in vitro models for biomarker discovery and prediction-model construction, followed by in vivo validation. We routinely use cell lines (derived from healthy and diseased individuals as well as commercially available cancer cell lines) and clinical samples to discover and functionally characterize genetic variation and gene, miRNA, and long noncoding RNA expression for their roles in drug sensitivity.

Lab Announcements

Congratulations to Yingbo on receiving BIGHLEY Fellowship!

It is our great pleasure to congratulate our graduate student, Yingbo Huang, on receiving the 2021-2022 BIGHLEY Graduate Fellowship. Great work!

Congratulations to Yuting on receiving research award!

Congratulations to our doctoral student, Yuting Shan, for being awarded the Izaak Kolthoff Rho Chi Research Award. This award is given to a PD4 who has contributed to and shown promise of excellence in research in pharmaceutical science. We are very happy to share this good news with her. Well deserved, Yuting!

Congratulations to Dr. Robert Gruener!

We are extremely proud of our lab member, Robert Gruener who successfully passed his dissertation desense. Congratulations on your achievement, Dr. Gruener

Congratulations, Josh!

Congratulations to Joshua Mentzer for successfully defending his master's thesis on computationally predicting drug sensivities for mCRPC. Great job!

To see past announcements, visit our archives here!