David Umulis
Dane A. Miller Head and Professor, Biomedical Engineering/Professor, Agricultural & Biological Engineering
Purdue University
Department of Agricultural & Biological Engineering
225 South University Street
West Lafayette, IN 47907-2093
Department of Agricultural & Biological Engineering
225 South University Street
West Lafayette, IN 47907-2093
Office: MJIS 3001
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Areas of Interest
- Biological Engineering
Research Areas
Systems Biology. Interdisciplinary research: mechanisms of development and regulation of Bone Morphogenetic Proteins. Finite-element modeling of biological systems. Quantitative image analysis, microscopy, and data-driven modeling. https://engineering.purdue.edu/~dumulis
Biography
Transforming growth factor-Beta (TGF-Beta) pathways regulate many cellular processes in human development. Mutations in the Bone Morphogenetic Proteins (BMPs), a TGF-Beta family member, can lead to a number of diseases including cancer, vascular disease, congenital heart disease, and juvenile polyposis syndrome (JPS), a genetic disorder which greatly increases the risk for developing gastrointestinal cancer. BMP pathways provide a natural candidate for drug development, however the complex mechanisms of BMP regulation and cross-talk with other signaling pathways such as the map-kinase pathway preclude our ability to understand, let alone predict, the relationship between a change in BMP activity and the downstream effects. Future treatment of cancer, genetic, and developmental disorders will require a more quantitative, systems-level approach aided by sophisticated models that directly couple tissue geometry, molecular mechanisms, and other information-rich data sets.
My lab focuses on microscopy, image analysis, and finite-element computer modeling to elucidate mechanisms of BMP regulation by developing organism- and tissue-scale, data-driven models of Drosophila embryos, Xenopus embryos, and the epithelial layers of the Drosophila wing imaginal disc. While there is no substitute for hypothesis testing by experimentation, the organism-scale models provide a new methodology to conduct large-scale screens to test plausible regulatory mechanisms and identify conditions that lead to easily discernable phenotypes. We are uniquely capable of developing the models, conducting the model-driven screens, and testing the model predictions by experimentation and biological imaging.
Publication reprints available upon request or my Google Scholar page.
My lab focuses on microscopy, image analysis, and finite-element computer modeling to elucidate mechanisms of BMP regulation by developing organism- and tissue-scale, data-driven models of Drosophila embryos, Xenopus embryos, and the epithelial layers of the Drosophila wing imaginal disc. While there is no substitute for hypothesis testing by experimentation, the organism-scale models provide a new methodology to conduct large-scale screens to test plausible regulatory mechanisms and identify conditions that lead to easily discernable phenotypes. We are uniquely capable of developing the models, conducting the model-driven screens, and testing the model predictions by experimentation and biological imaging.
Publication reprints available upon request or my Google Scholar page.