GEO DataSets

(Submitter supplied) Analysis of a SigX knockout mutant of Pseudomonas aeruginosa H103 strain in LB.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL

(Submitter supplied) We analyzed a deletion mutant of the ECF σ factor SigX and applied mRNA profiling to define the SigX dependent regulon in P. aeruginosa in response to low osmolarity medium conditions. Furthermore, the combination of transcriptional data with chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing led to the identification of the DNA binding motif of SigX. Genome-wide mapping of SigX-binding regions revealed enrichment of downstream genes involved in fatty acid biosynthesis, type III secretion, swarming and c-di-GMP signaling. more...

Organism:

Pseudomonas aeruginosa UCBPP-PA14

Type:

Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL17738 GPL17739

12 Samples

Download data: TXT

(Submitter supplied) Analysis of a SigX knockout mutant of Pseudomonas aeruginosa H103 strain in minimal medium with glucose as carbon source (M9G). SigX, one of the 19 extra-cytoplasmic function sigma factors of P. aeruginosa, was only known to be involved in transcription of the gene encoding the major outer membrane protein OprF in Pseudomonas aeruginosa. Deletion of the ECF sigma factor sigX gene provide insights into the SigX role in several virulence and biofilm- related phenotypes in Pseudomonas aeruginosa.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

6 Samples

Download data: CEL

(Submitter supplied) Cell-surface signaling is a sophisticated regulatory mechanism used by gram-negative bacteria to sense signals from outside the cell and transmit them into the cytoplasm. This regulatory system consists of an outer membrane-localized TonB-dependent receptor (TonB-dependent transducer), a cytoplasmic membrane-localized anti-sigma factor and an extracytoplasmic function (ECF) sigma factor. By microarray analysis we have identified the regulons of four novel P. more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

8 Samples

Download data: CEL, CHP

(Submitter supplied) S. mutans UA159 was cultivated in chemically defined medium. Changes in the transcriptome in response to the autoinducing peptides CSP and XIP were monitored for 30 minutes.

Organism:

Streptococcus mutans UA159

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19789

20 Samples

Download data: TXT

(Submitter supplied) The faecal indicator bacterium Escherichia coli K12 was used to study the effects of the global regulators RpoS and cAMP at the transcription level using microarray technology during short-term (physiological) adaptation to slow growth under limited nutrient supply. Effects due to the absence of one global regulator were assessed by comparing the mRNA levels isolated from rpoS or cya mutants under glucose-limited continuous culture at a dilution rate of 0.3 h-1 for the rpoS mutant or 0.16 h-1 for the cya mutant with those from wt E. more...

Organism:

Escherichia coli K-12

Type:

Expression profiling by array

Platform:

GPL534

6 Samples

Download data

(Submitter supplied) In metabolically versatile bacteria, carbon catabolite repression (CCR) facilitates the preferential assimilation of the most efficient carbon sources, improving growth rate and fitness. In Pseudomonas putida, the Crc protein and the CrcZ and CrcY small RNAs (sRNAs), which are believed to antagonise Crc, are key players in CCR. Contrary to what occurs in other bacterial species, succinate or glucose elicit a weak CCR in this bacterium. more...

Organism:

Pseudomonas putida KT2440

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17091

6 Samples

Download data: TXT

(Submitter supplied) We investigated fuel specific transcriptomic differences between these strains in order to ascertain the underlying mechanisms utilized by the adapted strain P. aeruginosa ATCC 33988 to jet fuel to Jet-fuel During growth in fuel, the genes related to alkane degradation, heat-shock response, membrane proteins, efflux pumps and several novel genes were upregulated in ATCC 33988

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by array

Platform:

GPL84

8 Samples

Download data: CEL, CHP

(Submitter supplied) E. coli MG155 cells were grown at different grwoth rates in mixed substrate culture. To facilitate different metaoblic status, cells adjust substrate consumption behavior which must be reflected in the gene expression profiles of metablism network. The metabolism network including the substrate transporter systems is our study focus. We use microarrays to capture the adjustments and switches in substrate transporter and central metabolism network along growth rate changes.

Organism:

Escherichia coli

Type:

Expression profiling by array

Platform:

GPL3154

6 Samples

Download data: CEL