GEO DataSets

Analysis of MG1655 cells grown aerobically in several media each with a different carbon source. Carbon sources used in decreasing order of quality were glucose, glycerol, succinate, L-alanine, acetate, and L-proline. Results provide insight into the response of cells to carbon source quality.

Organism:

Escherichia coli; Escherichia coli K-12

Type:

Expression profiling by array, count, 6 growth protocol sets

Platform:

GPL199

Series:

GSE2037

15 Samples

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(Submitter supplied) The study investigated the effect of different carbon sources on E. coli global gene expression. We grew MG1655 cells aerobically in MOPS minimal medium with either glucose, glycerol, succinate, L-alanine, acetate, or L-proline as the carbon supply. Samples were taken from each culture at mid log phase and were RNA-stabilized using Qiagen RNAProtect Bacterial Reagent (Qiagen). Total RNA was then isolated using MasterPure kits (Epicentre Technologies). more...

Organism:

Escherichia coli; Escherichia coli K-12

Type:

Expression profiling by array

Dataset:

GDS1099

Platform:

GPL199

15 Samples

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(Submitter supplied) This study examined the genes under the control of FlhDC and sigmaF in E. coli. Keywords: wild-type, deletion and overexepression strains

Organism:

Escherichia coli; Escherichia coli K-12

Type:

Expression profiling by array

Platform:

GPL199

15 Samples

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(Submitter supplied) In bacterial adaptation to the dynamic environment, metabolic genes are typically thought to be the executors, whereas global transcription regulators are regarded as the decision makers. Although the feedback from metabolic consequence is believed to be important, much less is understood. This work demonstrates that the gluconeogenic genes in Escherichia coli, ppsA, sfcA, and maeB, provide a feedback loop to the global regulator, CRP, in carbon source transition. more...

Organism:

Escherichia coli

Type:

Expression profiling by array

4 related Platforms

81 Samples

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