Merlo, M.E., Jankevicks, A., Takano, E. and Breitling, R. (2011) Exploring the metabolic state of microorganisms using metabolomics. Bioanalysis, 3(21), pp. 2443-2458. (doi: 10.4155/bio.11.248)
Full text not currently available from Enlighten.
Publisher's URL: http://dx.doi.org/10.4155/bio.11.248
Abstract
Microorganisms depend on their ability to modulate their metabolic composition according to specific circumstances, such as different phases of the growth cycle and circadian rhythms, fluctuations in environmental conditions, as well as experimental perturbations. A thorough understanding of these metabolic adaptations requires the ability to comprehensively identify and quantify the metabolome of bacterial cells in different states. In this review, we present an overview of the diverse metabolomics approaches recently adopted to explore the metabolism of a wide variety of microorganisms. Focusing on a selection of illustrative case studies, we assess the different experimental designs used and explore the major achievements and remaining challenges in the field. We conclude by discussing the important complementary information provided by computational methods such as genome-scale metabolic modeling, which enable an integrated ana-lysis of metabolic state changes in the context of overall cellular physiology
Item Type: | Articles |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Breitling, Professor Rainer |
Authors: | Merlo, M.E., Jankevicks, A., Takano, E., and Breitling, R. |
College/School: | College of Medical Veterinary and Life Sciences > School of Molecular Biosciences |
Journal Name: | Bioanalysis |
ISSN: | 1757-6180 |
University Staff: Request a correction | Enlighten Editors: Update this record