Liqun “Andrew” Gu
Liqun "Andrew" Gu, Professor
Liqun "Andrew" Gu
- Ph.D. in Biophysics, Nankai University, 1996
- Next-generation single-molecule biosensing approaches for solving problems in genetics, epigenetics, molecular diagnostics, point-of-care, personalized medicine and food science.
- Biomolecular engineering
- Biophysical science of ion channels and cell membrane transportation
Li-Qun (Andrew) Gu, a Professor in the Department of Biomedical, Biological and Chemical Engineering and the Dalton Cardiovascular Research Center, is leading an interdisciplinary laboratory that has a long term vision: integrating biomolecular engineering with nanobiotechnology to explore life science problems and to develop sophisticated molecular diagnostic tools for personalized medicine. Gu is an awardee of NSF CAREER. Supported by the NIH grant and Coulter Translational Program, he is developing ultrasensitive single molecule technology for disease biomarker detection. His lab is working on nanopore-based single-molecule technology for rapid, label-free and low-cost DNA sequencing and various genetic, epigenetic, and proteomic detections. The new generation of programmable nanopore biosensors is being combined with smart polymers and microfludics to create robust chip device for medical diagnosis, treatment, and high-throughput screening at the molecular level. Recently, his lab proposed a robust nanopore sensor for differentiating and quantifying cancer-associated microRNAs in human blood samples, an approach with the potential in non-invasive and cost-effective cancer detection (Nat.Nano. 2011, ACS Nano 2013, and ACS Nano 2014). MicroRNAs and a series of epigenetically modified gene are potential biomarkers for molecular diagnostic of cancers. These researches are being expanded to various detections in life science, plant science, agriculture, food safety detection, and environmental engineering.
- BE-4470/7470 Biomolecular Engineering and Nanobiotechnology
- BE-8470 Frontiers in ultrasensitive bio-detection (single-molecule and single-cell detection)