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Omics of Lethal Human Viruses

Ebola virus.

The OMICS-LHV (Lethal Human Viruses) project uses a systems biology approach to develop a comprehensive understanding of the host response to unique viruses that cause lethal infections in humans.

Funded the National Institute of Allergy and Infectious Diseases, National Institutes of Health, and Department of Health and Human Services, OMICS-LHV brings together six institutions: Icahn School of Medicine at Mount Sinai, the University of North Carolina at Chapel Hill, Washington University in St. Louis, Wisconsin Institute for Discovery, Wisconsin University of Madison-Wisconsin, and PNNL.

PNNL researchers are providing expertise in computational modeling, proteomics, lipidomics, and metabolomics. 

The knowledge gained from this work is expected to provide a strong foundation for understanding the host response to lethal human virus pathogens, and it could facilitate development of improved strategies for intervening with lethal virus disease.

 

Team

Richard (Dick) Smith
Dr. Smith's research interests span development of advanced analytical methods and instrumentation, with particular emphasis on high-resolution separations and mass spectrometry, and their applications in biological and biomedical research. Over the...
Tom Metz
Tom Metz is a Principal Investigator within the Integrative Omics group at PNNL and the Metabolomics Team Lead for a group of scientists that focuses on development and applications of high throughput metabolomics and lipidomics methods to various...
Kristin Burnum-Johnson
Jennifer Kyle
Katrina Waters
Dr. Katrina Waters is the division director for Biological Sciences at the Pacific Northwest National Laboratory.  Waters has a Ph.D. in biochemistry and more than 15 years of experience in microarray and proteomics data analysis. Her research...
Hugh Mitchell
Dr Mitchell's research involves using computational analysis of 'omics data to identify key components of biological systems. Analyses focus on network inference and topology, and involves data from a diverse array of prokaryotic and eukaryotic...
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