Metabolomics,Multiomics

Dataset Information

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Exploring the Glucose Fluxotype of the E. coli y-ome Using High-Resolution Fluxomics


ABSTRACT: We have developed a robust workflow to measure high-resolution fluxotypes (metabolic flux phenotypes) for large strain libraries under fully controlled growth conditions. This was achieved by optimizing and automating the whole high-throughput fluxomics process and integrating all relevant software tools. This workflow allowed us to obtain highly detailed maps of carbon fluxes in the central carbon metabolism in a fully automated manner. It was applied to investigate the glucose fluxotypes of 180 Escherichia coli strains deleted for y-genes. Since the products of these y-genes potentially play a role in a variety of metabolic processes, the experiments were designed to be agnostic as to their potential metabolic impact. The obtained data highlight the robustness of E. coli's central metabolism to y-gene deletion. For two y-genes, deletion resulted in significant changes in carbon and energy fluxes, demonstrating the involvement of the corresponding y-gene products in metabolic function or regulation. This work also introduces novel metrics to measure the actual scope and quality of high-throughput fluxomics investigations.

OTHER RELATED OMICS DATASETS IN: PRJNA100395PRJNA95591

INSTRUMENT(S): Nuclear Magnetic Resonance (NMR) -, Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Cecilia Berges 

PROVIDER: MTBLS2188 | MetaboLights | 2021-05-13

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS2188 Other
FILES Other
a_MTBLS2188_LC-MS_positive_reverse-phase_metabolite_profiling.txt Txt
a_MTBLS2188_NMR___metabolite_profiling.txt Txt
i_Investigation.txt Txt
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Publications


We have developed a robust workflow to measure high-resolution fluxotypes (metabolic flux phenotypes) for large strain libraries under fully controlled growth conditions. This was achieved by optimizing and automating the whole high-throughput fluxomics process and integrating all relevant software tools. This workflow allowed us to obtain highly detailed maps of carbon fluxes in the central carbon metabolism in a fully automated manner. It was applied to investigate the glucose fluxotypes of 18  ...[more]

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