Prediction and quantification of bioactive microbiota metabolites in the mouse gut.

Sridharan, Gautham V.
Choi, KyungOh.
Klemashevich, Cory.
Wu, Charmian.
Prabakaran, Darshan.
Pan, Long Bin.
Steinmeyer, Shelby.
Mueller, Carrie.
Yousofshahi, Mona.
Alaniz, Robert C.
Lee, Kyongbum.
Jayaraman, Arul.
2014

Metabolites produced by the intestinal microbiota are potentially important physiological modulators. Here we present a metabolomics strategy that models microbiota metabolism as a reaction network and utilizes pathway analysis to facilitate identification and characterization of microbiota metabolites. Of the 2,409 reactions in the model, ~53% do not occur in the host, and thus represent function... read more

Subjects
Computational biology.
Bioinformatics.
Metabolism.
Tufts University. Department of Chemical Engineering.
Permanent URL
http://hdl.handle.net/10427/009824
Original publication
Sridharan, G. V. et al. Prediction and quantification of bioactive microbiota metabolites in the mouse gut. Nat. Commun. 5:5492 doi: 10.1038/ncomms6492 (2014).
ID: tufts:18586
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