GEO DataSets

(Submitter supplied) Rhodobacter sphaeroides is the best studied photosynthetic bacterium, yet much remains unknown about its transcriptional regulatory processes on a genome-scale. We developed a work-flow for genome-scale reconstruction of transcriptional regulatory networks and applied it to sequence and gene expression data sets available for R. sphaeroides. To assess the predictive performance of our reconstructed model, we generated global transcript level and/or protein-DNA interaction data for 3 transcription factors (PpsR, RSP_0489 and RSP_3341). more...

Organism:

Cereibacter sphaeroides 2.4.1; Cereibacter sphaeroides

Type:

Expression profiling by array

Platform:

GPL162

11 Samples

Download data: CEL, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Cereibacter sphaeroides 2.4.1; Cereibacter sphaeroides

Type:

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

Platforms:

GPL162 GPL18842 GPL17213

15 Samples

Download data: CEL, WIG

(Submitter supplied) By integrating sequence information from closely related bacteria with a compendium of high-throughput gene expression datasets, a large-scale transcriptional regulatory networks was constructed for Rhodobacter sphaeroides. Predictions from this network were validated in part using genome-wide analysis for 3 transcription factors (PpsR, RSP_0489 and RSP_3341).

Organism:

Cereibacter sphaeroides 2.4.1

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL17213 GPL18842

4 Samples

Download data: WIG

(Submitter supplied) In this study, we performed a ChIP-chip experiment to determine the regulon of FnrL in Rhodobacter sphaeroides. We grew R. sphaeroides under anaerobic photosnthetic conditions, in which FnrL is expected to bind DNA and contol gene expression, and immuno-precipitated FnrL, but also sigma70 and the Beta' subunits of RNA polymerase to determine transcription activity.

Organism:

Cereibacter sphaeroides 2.4.1

Type:

Genome binding/occupancy profiling by genome tiling array

Platform:

GPL10463

9 Samples

Download data: GFF, PAIR

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Cereibacter sphaeroides; Cereibacter sphaeroides 2.4.1

Type:

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

Platforms:

GPL18840 GPL162 GPL18841

32 Samples

Download data: CEL, WIG

(Submitter supplied) To gain a deeper understanding of the transcription factors that regulate photosynthesis in Rhodobacter sphaeroides ChIP-seq was used to determine the genome-wide binding locations of 4 transcription factors (FnrL, PrrA, CrpK and RSP_2888) known or predicted to be involved in the regulation of photosynthesis.

Organism:

Cereibacter sphaeroides

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL18841 GPL18840

12 Samples

Download data: WIG

(Submitter supplied) To gain a deeper understanding of the transcription factors that regulate photosynthesis in Rhodobacter sphaeroides global gene expression analysis was used to determine the expression profiles of the deletion mutants of 4 transcription factors (FnrL, PrrA, CrpK and RSP_2888) known or predicted to be involved in the regulation of photosynthesis.

Organism:

Cereibacter sphaeroides; Cereibacter sphaeroides 2.4.1

Type:

Expression profiling by array

Platform:

GPL162

20 Samples

Download data: CEL, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Cereibacter sphaeroides 2.4.1; Cereibacter sphaeroides

Type:

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

Platforms:

GPL18841 GPL162 GPL18840

13 Samples

Download data: CEL, WIG

(Submitter supplied) To gain a better understanding of the transcription factors that regulate central carbon metabolism in Rhodobacter sphaeroides ChIP-seq was used to determine the genome-wide binding locations of 2 transcription factors: CceR (RSP_1663) and AkgR (RSP_0981) both predicted to be involved in the regulation of of central carbon and energy metabolism.

Organism:

Cereibacter sphaeroides

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL18841 GPL18840

4 Samples

Download data: WIG

(Submitter supplied) To gain a better understanding of the transcription factors that regulate central carbon metabolism in Rhodobacter sphaeroides global gene expression analysis was used to determine genes under the regulatory influence of 2 transcription factors: CcmR (RSP_1663) and AkgR (RSP_0981) both predicted to be involved in the regulation of central carbon and energy metabolism.

Organism:

Cereibacter sphaeroides 2.4.1; Cereibacter sphaeroides

Type:

Expression profiling by array

Platform:

GPL162

12 Samples

Download data: CEL

(Submitter supplied) Iron-sulphur (Fe-S) clusters are ensembles of iron and sulphide centres. They are found in all life forms and are important components of many enzymes involved in diverse cellular processes, including respiration, DNA synthesis or gene regulation. However, the increase in oxygen after the emergence of oxygenic photosynthesis created a threat to Fe–S proteins and, consequently, to the organisms relying on them. more...

Organism:

Cereibacter sphaeroides 2.4.1

Type:

Expression profiling by array

Platform:

GPL15457

2 Samples

Download data: TXT

(Submitter supplied) Transcriptome profiling of Rhodobacter sphaeroides cells (WT and delta-oxyR mutant) grown in semiaerobic conditions, 7 and 30 min after addition of H2O2 up to 1 mM Keywords: time series

Organism:

Cereibacter sphaeroides 2.4.1; Cereibacter sphaeroides

Type:

Expression profiling by array

Dataset:

GDS1908

Platform:

GPL162

15 Samples

Download data

Expression profiling of oxyR deletion mutant and wild type cells following treatment with 1 mM hydrogen peroxide. OxyR is a transcription factor that senses oxidative stress. Results provide insight into the mechanisms involved in oxidative stress tolerance.

Organism:

Rhodobacter sphaeroides; Rhodobacter sphaeroides 2.4.1

Type:

Expression profiling by array, count, 2 genotype/variation, 3 time sets

Platform:

GPL162

Series:

GSE2829

15 Samples

Download data

(Submitter supplied) Transcriptional profiling of R. sphaeroides pRCcsR1-4 comparing to control R. sphaeroides 2.4.1 pRK415 under aerobic conditions

Organism:

Cereibacter sphaeroides; Cereibacter sphaeroides 2.4.1

Type:

Expression profiling by array

Platform:

GPL15457

2 Samples

Download data: TXT

(Submitter supplied) Organisms from all domains of life use gene regulation networks to control cell growth, identity, function, and responses to environmental challenges. Although accurate global regulatory models would provide critical evolutionary and functional insights, they remain incomplete, even for the best studied organisms. Efforts to build comprehensive networks are confounded by challenges including network scale, degree of connectivity, complexity of organism-environment interactions, and difficulty of estimating the activity of regulatory factors. more...

Organism:

Bacillus subtilis

Type:

Expression profiling by array

Platform:

GPL15179

268 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Streptomyces coelicolor

Type:

Expression profiling by array

Platform:

GPL4908

43 Samples

Download data: GPR, TXT

(Submitter supplied) Antibiotic biosynthesis in Streptomyces species is controlled by a complex genetic and biochemical network of global and pathway specific regulators. Details of their precise interactions in mediating temporal and spatial expression of secondary metabolite genes remain poorly defined. In this study, we employed whole-genome microarrays to investigate the temporal transcriptome profiles of S. coelicolor A3(2) M752 mutant strain, which has an in frame deletion of scbR (SCO6265) and compare it to the wild-type M145 strain. more...

Organism:

Streptomyces coelicolor

Type:

Expression profiling by array

Platform:

GPL4908

9 Samples

Download data: GPR, TXT

(Submitter supplied) Antibiotic biosynthesis in Streptomyces species is controlled by a complex genetic and biochemical network of global and pathway specific regulators. Details of their precise interactions in mediating temporal and spatial expression of secondary metabolite genes remain poorly defined. In this study, we employed whole-genome microarrays to investigate the temporal transcriptome profiles of S. coelicolor A3(2) wild type and regulatory mutants.

Organism:

Streptomyces coelicolor

Type:

Expression profiling by array

Platform:

GPL4908

15 Samples

Download data: TXT

(Submitter supplied) Antibiotic biosynthesis in Streptomyces species is controlled by a complex genetic and biochemical network of global and pathway specific regulators. Details of their precise interactions in mediating temporal and spatial expression of secondary metabolite genes remain poorly defined. In this study, we employed whole-genome microarrays to investigate the temporal transcriptome profiles of S. coelicolor A3(2) wild type and regulatory mutants.

Organism:

Streptomyces coelicolor

Type:

Expression profiling by array

Platform:

GPL4908

8 Samples

Download data: TXT

(Submitter supplied) Antibiotic biosynthesis in Streptomyces species is controlled by a complex genetic and biochemical network of global and pathway specific regulators. Details of their precise interactions in mediating temporal and spatial expression of secondary metabolite genes remain poorly defined. In this study, we employed whole-genome microarrays to investigate the temporal transcriptome profiles of S. coelicolor A3(2) wild type and regulatory mutants.

Organism:

Streptomyces coelicolor

Type:

Expression profiling by array

Platform:

GPL4908

20 Samples

Download data: GPR, TXT