Metabolic Model-Based Integration of Microbiome Taxonomic and Metabolomic Profiles Elucidates Mechanistic Links Between Ecological and Metabolic Variation
RESEARCH ARTICLE Novel Systems Biology Techniques Metabolic Model-Based Integration of Microbiome Taxonomic and Metabolomic Profiles Elucidates Mechanistic Links between Ecological and Metabolic Variation Cecilia Noecker,a Alexander Eng,a Sujatha Srinivasan,b Casey M. Theriot,c Vincent B. Young,d,e Janet K. Jansson,f David N. Fredricks,b,g,h Elhanan Borensteina,i,j Department of Genome Sciences, University of Washington, Seattle, Washington, USAa; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USAb; Department of Population Health and Pathobiology, North Carolina State University, Raleigh, North Carolina, USAc; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USAd; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USAe; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USAf; Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USAg; Department of Microbiology, University of Washington, Seattle, Washington, USAh; Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USAi; Santa Fe Institute, Santa Fe, New Mexico, USAj ABSTRACT Multiple molecular assays now enable high-throughput profiling of the Received 6 November 2015 Accepted 1 ecology, metabolic capacity, and activity of the human microbiome. However, to December 2015 Published 19 January 2016 date, analyses of such multi-omic data typically focus on statistical associations, of- Citation Noecker C, Eng A, Srinivasan S, ten ignoring extensive prior knowledge of the mechanisms linking these various fac- Theriot CM, Young VB, Jansson JK, Fredricks ets of the microbiome. Here, we introduce a comprehensive framework to systemati- DN, Borenstein E. 2016.
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