Gene expression variation plays a major role in driving phenotypic variation. Our lab is interested in Systems Biology of gene regulation.  The advent of various bulk and single-cell omics technologies increasingly allows us to interrogate the status of a cell’s components and to determine how, when, and where these molecules interact with each other. By combining omics experiments and computational modeling, we are studying gene regulatory networks in several model systems.

Model gene regulatory networks in development and disease

I. We are studying gene regulatory networks controlling development and differentiation of hematopoietic stem cells, T cells, and oncogenesis. Specific projects include:

1) Identify and characterize keys transcriptional factors and enhancers that control cell/tissue-specific gene expression.

2) Understand how 3-dimensional genome organization controls cell/tissue-specific gene expression.

3) Understand how mutations in regulatory DNA sequences contribute to pathogenesis.

II. Discover molecular networks as biomarkers for human diseases

Molecular networks are increasingly serving as tools to unravel the basis of human diseases.  We are developing network-based approaches to identifying disease-related sub-networks that can serve as biomarkers for the diagnosis and prognosis of diseases and as candidates for novel therapeutics.

We gratefully acknowledge support from the following funding agencies: