Functional Genomics

Functional genomics combines genome-wide technologies, computational methods, and laboratory validations to systematically query the molecular mechanisms underlying human diseases.

Investigators in the Department of Genetics and Genomic Sciences (GGS) encompass a wide range of experimental and computational expertise and collaboratively apply functional genomics approaches to a wide range of diseases. Some recent achievements we have made include:

  • Development of an approach for spatial functional genomics called Perturb-map to knockout dozens of genes in parallel in a mouse model of lung cancer and simultaneously assessed how each knockout influenced tumor growth, histopathology, and immune composition.
  • Development and application of cutting-edge genomic technologies spanning bulk, single-cell, and spatial multi-omic technologies and data analysis and integration methods to generate, interpret, and integrate multi-dimensional, large-scale datasets to foster novel discovery and advance clinical applicability.
  • Development of gene regulatory network approaches to gain functional understanding of disease associated genes and genetic variants at the cellular level.
  • Applying multimodal neuroimaging techniques to facilitate the diagnosis of psychiatric disorders and the development of new medications.