Project description:The influence of the presence of glucose in the Y1 growth medium of Bacillus cereus strain ATCC 14579 was studied by transcriptional analysis. Furthermore, the role of CcpA in glucose induction or repression of gene expression was assessed by use of a ccpA deletion strain. In total, 300 genes were glucose repressed and 173 genes glucose activated. For 212 genes the glucose repression was clearly CcpA dependent, whereas for 116 genes CcpA dependent glucose induction was observed. Functional analysis of the glucose regulated genes showed these genes mainly to be involve in energy production and conversion and in metabolism. Furthermore, genes that were glucose repressed were shown to be involved in cell motility.

2015-01-05 | GSE20057 | GEO

Bacillus cereus strain proteomics under fermentative anoxic conditions, cellular proteome

Project description:This project provides tandem mass spectrometry datasets of Bacillus cereus ATCC 14579 wild-type strain without its pBClin15 plasmid. The strain was grown under fermentative anaerobic condition and harvested at three growth stages.

2021-09-10 | PXD024888 | Pride

Comparative transcriptional analysis of Acinetobacter baumannii strain ATCC 17978 and strain 17978hm

Project description:In this study the transcriptomes of Acinetobacter baumannii strains ATCC 17978 and 17978hm were compared. Strain 17978hm is a hns knockout derivative of strain ATCC 17978. Strain 17978hm displays a hyper-motile phenotype on semi-solid Mueller-Hinton (MH) media (0.25% agar). ATCC 17978 and 17978hm from an 37C overnight culture were transferred to the centre of the semi-solid MH plate and incubated at 37C for 8 hours. Only 17978hm cells displayed a motile phenotype and covered the complete surface of the plate. These motile 17978hm cells and the non-motile wild-type ATCC 17978 cells were harvested and RNA was isolated. The comparative transcriptome analysis was performed using the FairPlay labeling kit and a custom made Agilent MicroArray with probes designed to coding regions of the ATCC 17978 genome. The data was analyzed using Agilent GeneSpring GX9 and the significance analysis of microarray MS Excel add-on.

2013-08-05 | GSE40681 | GEO

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