Article ID Journal Published Year Pages File Type
1178407 Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2012 7 Pages PDF
Abstract

In the studies of Escherichia coli (E. coli), metabolomics analyses have mainly been performed using steady state culture. However, to analyze the dynamic changes in cellular metabolism, we performed a profiling of concentration of metabolites by using batch culture. As a first step, we focused on glucose uptake and the behavior of the first metabolite, G6P (glucose-6-phosphate). A computational formula was derived to express the glucose uptake rate by a single cell from two kinds of experimental data, extracellular glucose concentration and cell growth, being simulated by Cell Illustrator. In addition, average concentration of G6P has been measured by CE-MS. The existence of another carbon source was suggested from the computational result. After careful comparison between cell growth, G6P concentration, and the computationally obtained curve of glucose uptake rate, we predicted the consumption of glycogen in lag phase and its accumulation as an energy source in an E. coli cell for the next proliferation. We confirmed our prediction experimentally. This behavior indicates the importance of glycogen participation in the lag phase for the growth of E. coli. This article is part of a Special Issue entitled: Computational Methods for Protein Interaction and Structural Prediction.

Graphical abstractFigure optionsDownload full-size imageDownload high-quality image (245 K)Download as PowerPoint slideHighlights► Glycogen acts as the main sugar source in the lag phase of E. coli proliferation. ► Glycogen starts its accumulation from the onset of the log phase. ► G6P concentration has two peaks, caused by intracellular glycogen and extracellular glucose. ► A computational model of carbohydrate metabolism around G6P was constructed.

Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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