Large-scale metabolome analysis and quantitative integration with genomics and proteomics data in Mycoplasma pneumoniae.

Abstract:

Systems metabolomics, the identification and quantification of cellular metabolites and their integration with genomics and proteomics data, promises valuable functional insights into cellular biology. However, technical constraints, sample complexity issues and the lack of suitable complementary quantitative data sets prevented accomplishing such studies in the past. Here, we present an integrative metabolomics study of the genome-reduced bacterium Mycoplasma pneumoniae. We experimentally analysed its metabolome using a cross-platform approach. We explain intracellular metabolite homeostasis by quantitatively integrating our results with the cellular inventory of proteins, DNA and other macromolecules, as well as with available building blocks from the growth medium. We calculated in vivo catalytic parameters of glycolytic enzymes, making use of measured reaction velocities, as well as enzyme and metabolite pool sizes. A quantitative, inter-species comparison of absolute and relative metabolite abundances indicated that metabolic pathways are regulated as functional units, thereby simplifying adaptive responses. Our analysis demonstrates the potential for new scientific insight by integrating different types of large-scale experimental data from a single biological source.

SEEK ID: https://fairdomhub.org/publications/336

PubMed ID: 23598864

Projects: MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum anima...

Publication type: Not specified

Journal: Mol Biosyst

Citation: Mol Biosyst. 2013 Jul;9(7):1743-55. doi: 10.1039/c3mb70113a. Epub 2013 Apr 19.

Date Published: 20th Apr 2013

Registered Mode: Not specified

Authors: T. Maier, J. Marcos, J. A. Wodke, B. Paetzold, M. Liebeke, R. Gutierrez-Gallego, L. Serrano

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Created: 8th May 2017 at 08:30

Last updated: 8th Dec 2022 at 17:26

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