Simplifying complexity in metabolomics

Katharina Eick; Georg Pohnert

doi:10.1016/j.chembiol.2015.05.001

Simplifying complexity in metabolomics

Chem Biol. 2015 May 21;22(5):567-8. doi: 10.1016/j.chembiol.2015.05.001.

Authors

Katharina Eick¹, Georg Pohnert²

Affiliations

¹ Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Lessingstraße 8, 07743 Jena, Germany.
² Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Lessingstraße 8, 07743 Jena, Germany. Electronic address: Georg.Pohnert@uni-jena.de.

PMID: 26000745
DOI: 10.1016/j.chembiol.2015.05.001

Abstract

Metabolomics analysis to unravel secondary metabolite dynamics in microorganisms faces the challenge of immense data sets and complex experimental setups. In this issue, Goodwin et al. present a multiple stimuli approach combined with self-organizing map-based analysis to elucidate variations in the metabolome of Streptomyces coelicolor caused by biotic and environmental perturbations.

Publication types

Comment

MeSH terms

Metabolome*
Metabolomics*
Streptomyces coelicolor / metabolism*