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Approaches To Bridge The Gap Between -Omics And Physiology
Sponsored by the APS Physiological Genomics Group
Education and Systems Biology (-omics) Tracks

Thanks to automation and development of high-throughput techniques, a wealth of data on genomics, gene expression, proteomics, and metabolomics are being amassed in the biomedical sciences. However, most of this data is collected at the cellular level of organization whereas a detailed characterization of physiology and phenotype at the whole organism level is still low-throughput and invasive. A fundamental challenge for modern biomedical science, therefore, is to somehow connect these data at different spatial, temporal and dimensionality scales. Although statistical analysis  is still the method of choice to deal with the high dimensionality of –omics datasets, the use of more physiology-driven data analysis approaches is increasing. This symposium aims to present current different experimental and modeling approaches applied to the various levels of organization that have the potential, when combined, to bridge gaps in the coverage by experimental and computational models of the range from cells to humans.

Presentations will center on bioinformatic methods to reconstruct physiologically relevant regulatory and metabolic networks, experimental approaches to generate key functional data (with a special role of stable isotopes), and mathematical computational approaches to integrate data at different levels of mechanistic detail, with a focus on liver and GI metabolism.