Core C

University Of Virginia, Charlottesville VA

Investigators

Abstract

PROJECT SUMMARY Understanding sphingolipid metabolism in acute myeloid leukemia (AML) requires holistic approaches that are suited for the complexity of the disease and the resources available to study it. The Integrative Systems Biology Core (Core C) supports the overall aims of the program project grant by using large, shared AML datasets to test project-specific hypotheses. Core C personnel have established track records in data-driven modeling, bioinformatics, and metabolic networks applied to AML and other cancers. Services of Core C include: 1) Signature identification and refinement; we will improve existing sphingolipidomic signatures and connect different types of biomolecular data with drug response data using established statistical approaches. 2) Data harmonization and inference; we will combine publicly available AML datasets to enable external comparisons with data from the research projects. 3) Metabolic network modeling; we will develop personalized sample- specific metabolic models to examine variations and metabolic changes between patient cases and experimental conditions. Core C complements the conventional biostatistics offered by Core D and will contextualize the primary data generated by Cores A and B through the specialized AML repositories and models it builds for the research projects.