Integration of untargeted metabolomics with transcriptomics reveals active metabolic pathways.

ABSTRACT: While recent advances in metabolomic measurement technologies have been dramatic, extracting biological insight from complex metabolite profiles remains a challenge. We present an analytical strategy that uses data obtained from high resolution liquid chromatography-mass spectrometry and a bioinformatics toolset for detecting actively changing metabolic pathways upon external perturbation. We begin with untargeted metabolite profiling to nominate altered metabolites and identify pathway candidates, followed by validation of those pathways with transcriptomics. Using the model organisms Rhodospirillum rubrum and Bacillus subtilis, our results reveal metabolic pathways that are interconnected with methionine salvage. The rubrum-type methionine salvage pathway is interconnected

SUBMITTER: Cho K 

PROVIDER: S-EPMC4334135 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature