Specific combinations of genes exhibit emergent properties when expressed together, enabling the generation of diverse cell types and behaviors. This phenomenon motivates the quantitative study of genetic interactions (GIs), which compare the phenotypic consequences of perturbing two or more genes alone or in combination. The challenge of studying GIs is their sheer scale: e.g., among 10,000 genes there are ~50 million possible pairwise GIs. The Norman Lab blends computational approaches with high-throughput experimental methods to develop new screening approaches for finding and characterizing genetic interactions.
Thomas Norman, PhD
Research FocusSystems biologist Thomas Norman develops new computational and functional genomics approaches for studying how genes interact to realize complex phenotypes.
EducationPhD, Harvard University
- Norman, T.M.*, Horlbeck, M.*, Replogle, J., Ge, A., Xu, A., Jost, M., Gilbert, L., & Weissman, J.S. Exploring genetic interaction manifolds constructed from rich phenotypes. In press at Science.
- Adamson, B.*, Norman, T.M.*, Jost, M., Cho, M.Y., Nuñez, J.K., Chen, Y., Villalta, J.E., Gilbert, L.A., Horlbeck, M.A., Hein, M.Y. Pak, R.A., Gray, A.N., Gross, C.A., Dixit, A. Parnas, O., Regev, A. & Weissman, J.S. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell 167, 1867-1882 (2016).
- Damon Runyon-Dale F. Frey Award for Breakthrough Scientists (2019)
- Damon Runyon Cancer Research Foundation Fellowship (2015-2018)
- Josie Robertson Investigator