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Related Experiment Video

Updated: Jun 2, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
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Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

Extending biochemical databases by metabolomic surveys.

Oliver Fiehn1, Dinesh K Barupal, Tobias Kind

  • 1University of California Davis Genome Center, Davis, California 95616, USA. ofiehn@ucdavis.edu

The Journal of Biological Chemistry
|May 14, 2011
PubMed
Summary

Metabolomics reveals metabolic diversity, but enzyme promiscuity and unknown functions create unidentified compounds. Cataloging metabolites in repositories can identify compounds and pathways crucial for biological functions.

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Last Updated: Jun 2, 2026

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

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Published on: May 27, 2014

Area of Science:

  • Biochemistry
  • Metabolomics
  • Systems Biology

Background:

  • Metabolomics studies reveal extensive metabolic diversity across biological systems.
  • Enzyme specificity has evolved, yet many enzymes retain substrate and reaction promiscuity.
  • A significant number of enzymes have unknown functions, contributing to unidentified compounds in metabolomic data.

Purpose of the Study:

  • To review the current state of metabolic databases.
  • To explore tools for mapping and visualizing metabolomic data.
  • To understand how enzyme characteristics contribute to unidentified metabolites.

Main Methods:

  • Review of existing metabolic databases and their capabilities.
  • Analysis of enzyme characteristics, including specificity and promiscuity.
  • Examination of computational tools for metabolome mapping and visualization.

Main Results:

  • Metabolic databases vary in scope and annotation depth.
  • Enzyme promiscuity and uncharacterized enzymes are significant sources of unidentified compounds.
  • Tools for metabolome visualization are essential for data interpretation.

Conclusions:

  • Comprehensive cataloging of metabolite identity and abundance is crucial.
  • Identifying unknown compounds and pathways is key to understanding biological functions.
  • Improved metabolic databases and visualization tools are needed for advancing metabolomics.