Contact
1020 Locust Street
Jefferson Alumni Hall, Room 381
Philadelphia, PA 19107
- 215-503-7823
- 215-503-2636 (fax)
The Daniel Baugh Institute (DBI) for Functional Genomics/ Computational Biology has been established in the Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, to provide an interdisciplinary base for research and education in these rapidly evolving fields. Research interests of the group center on the development and use of quantitative system-wide "omic" datasets towards integrative modeling and computational analysis of the dynamics of biological systems.
Research Areas
Our focus is the development of mammalian systems biology to study the multi-scale regulatory networks in the context of adaptation in central autonomic control circuits, dysfunction of cardio-respiratory regulation, alcoholic liver disease and liver repair, and stem cell differentiation. In order to study intra- and inter-cellular networks, we employ genomic and other "omic" technologies to acquire datasets suitable for analyses to identify variables and relationships that provide a basis for modeling and simulation of multi-scale system dynamics. We develop bioinformatics tools to improve our ability to derive networks, pathways and relationships subserving cellular processes. We bring principles of control and systems theory as well as probabilistic/statistical techniques to bear on the analysis of biological processes.
Institute Funding
We seek funding as an Institute for interdisciplinary team oriented projects. Ongoing projects are funded by National Institute of General Medical Sciences, National Heart Lung and Blood Institute, and National Institute on Alcohol Abuse and Alcoholism.
Recent DBI Faculty Peer-reviewed Publications
- Closed-loop modeling of central and intrinsic cardiac nervous system circuits underlying cardiovascular control
- Conditional expression of endorepellin in the tumor vasculature attenuates breast cancer growth, angiogenesis and hyaluronan deposition
- Elucidating the Mechanisms of Dynamic and Robust Control of the Liver Homeostatic Renewal Process: Cell Network Modeling and Analysis
- Longitudinal ultrasound imaging and network modeling in rats reveal sex-dependent suppression of liver regeneration after resection in alcoholic liver disease
- Genome-Scale Metabolic Modeling Reveals Sequential Dysregulation of Glutathione Metabolism in Livers from Patients with Alcoholic Hepatitis