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(13)C NMR Metabolomics: INADEQUATE Network Analysis.


ABSTRACT: The many advantages of (13)C NMR are often overshadowed by its intrinsically low sensitivity. Given that carbon makes up the backbone of most biologically relevant molecules, (13)C NMR offers a straightforward measurement of these compounds. Two-dimensional (13)C-(13)C correlation experiments like INADEQUATE (incredible natural abundance double quantum transfer experiment) are ideal for the structural elucidation of natural products and have great but untapped potential for metabolomics analysis. We demonstrate a new and semiautomated approach called INETA (INADEQUATE network analysis) for the untargeted analysis of INADEQUATE data sets using an in silico INADEQUATE database. We demonstrate this approach using isotopically labeled Caenorhabditis elegans mixtures.

SUBMITTER: Clendinen CS 

PROVIDER: S-EPMC4537055 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature

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(13)C NMR Metabolomics: INADEQUATE Network Analysis.

Clendinen Chaevien S CS   Pasquel Christian C   Ajredini Ramadan R   Edison Arthur S AS  

Analytical chemistry 20150514 11


The many advantages of (13)C NMR are often overshadowed by its intrinsically low sensitivity. Given that carbon makes up the backbone of most biologically relevant molecules, (13)C NMR offers a straightforward measurement of these compounds. Two-dimensional (13)C-(13)C correlation experiments like INADEQUATE (incredible natural abundance double quantum transfer experiment) are ideal for the structural elucidation of natural products and have great but untapped potential for metabolomics analysis  ...[more]

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