Project 1: Application of Proteomic Analysis to Cardiovascular Research in Diastolic Heart Failure,
directed by Michael R. Zile, M.D., will use proteomic analysis to study the basic underlying mechanisms of development of diastolic congestive heart failure and provide a scientifically important, clinically relevant experimental model system in rats.
Project 2: Extracellular Matrix-Mediated Epithelial-to-Mesenchymal Transformation (EMT) Events in Cardiovascular Development and Homeostasis, is directed by Edward L. Krug, Ph.D. This project focuses on analyzing early mouse heart morphogenesis surrounding EMT remodeling events and primitive myocardial secretory dynamics that elicit EMT of endocardium and epicardium.
Project 3: Application of Proteomic Analysis to Cardiovascular Disease Risk: Insulin Resistance Syndrome, is directed by C. Timothy Garvey, M.D. The goal of this work is to understand the mechanism of insulin resistance syndrome, by applying proteomic analyses to identify proteins that are differentially expressed or modified in human skeletal muscle as a function of insulin resistance. These biological studies applying proteomic analysis will guide the new technology development, provide a comprehensive evaluation environment for the technologies, and yield new insights in the cardiovascular issues under investigation.
Project 4: Improved Methods for Separation and Identification of Proteins on Two-Dimensional Gels, directed by John M. Arthur, M.D., Ph.D., will develop methodologies to address major shortcomings of gel-based proteomics: visualization and identification of difficult proteins such as membrane and low abundance proteins and more complete determination of the components of protein complexes.
Project 5: Microfluidic Systems for Proteomic Analysis, directed by Daniel R. Knapp, Ph.D., will develop two dimensional liquid chromatography separation systems that interface directly to mass spectrometry to enable analysis of more proteins and increase sensitivity.
Project 6: Intact Protein-Based Proteomic Analysis, directed by Kevin L. Schey, Ph.D., entails developing a high-throughput, sensitive proteomics approach utilizing mass spectrometric identification that does not require protein digestion.
Project 7: Computational Analysis of Proteomic Profiles, directed by Eberhard Voit, Ph.D. and Jonas Almeida, Ph.D. will develop de novo a complementary proteomics approach based on mathematical modeling, combined with time-dependent and stimulus-dependent protein profiles.
