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Links from GEO DataSets

Items: 20

1.

Identification of genes regulated by rpoH in Pseudomonas aeruginosa

(Submitter supplied) The bacterial heat-shock response is regulated by the alternative sigma factor sigma 32 (RpoH), which responds to misfolded protein stress and directs the RNA polymerase to the promoterss for genes required for protein refolding or degradation. In P. aeruginosa, RpoH is essential for viability under laboratory growth conditions. Here, we used a transcriptomics approach to identify the genes of the RpoH regulon, including RpoH-regulated genes that are essential for P. more...
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by array
Platform:
GPL84
6 Samples
Download data: CEL
Series
Accession:
GSE217157
ID:
200217157
2.

Transcriptional analysis of a Vibrio choleare rpoH mutant vs wild-type after a heat-shock

(Submitter supplied) Vibrio cholerae, the cause of cholera, can grow in a variety of environments outside of human hosts. During infection, the pathogen must adapt to significant environmental alterations, including the elevated temperature of the human gastrointestinal tract. σ32, an alternative sigma factor encoded by rpoH, activates transcription of genes involved in the heat-shock response in several bacterial species. more...
Organism:
Vibrio cholerae; Vibrio cholerae O1 biovar El Tor str. N16961
Type:
Expression profiling by array
Platform:
GPL3651
6 Samples
Download data: TXT
Series
Accession:
GSE6097
ID:
200006097
3.

Expression analysis of Sinorhizobium meliloti 1021rpoH1 rpoH2 mutant during heat shock

(Submitter supplied) Investigation of whole genome gene expression level changes in a Sinorhizobium meliloti 1021 rpoH1 rpoH2 double mutant, compared to the wild-type strain. The mutations engineered into this strain render it deficient in symbiotic nitrogen fixation. The mutants analyzed in this study are further described in Mitsui, H, T. Sato, Y. Sato, and K. Minamisawa. 2004. Sinorhizobium meliloti RpoH1 is required for effective nitrogen-fixing symbiosis with alfalfa. more...
Organism:
Sinorhizobium meliloti 1021
Type:
Expression profiling by array
Platform:
GPL19375
20 Samples
Download data: CALLS, PAIR
Series
Accession:
GSE62900
ID:
200062900
4.

sigma32 over-expression in E. coli

(Submitter supplied) This study examined the genes under the control of sigma32 in E. coli by moderate induction of a plasmid-borne rpoH gene under defined steady-state growth condition. Samples were taken from culture at mid log phase (OD=0.2) before or 5 minutes, 10 minutes or 15 minutes after induction. Samples were then RNA-stabilized using Qiagen RNAProtect Bacterial Reagent (Qiagen). Total RNA was then isolated using MasterPure kits (Epicentre Technologies). more...
Organism:
Escherichia coli K-12; Escherichia coli
Type:
Expression profiling by array
Platform:
GPL199
8 Samples
Download data
Series
Accession:
GSE2140
ID:
200002140
5.

RpoHI and RpoHII regulons in Rhodobacter sphaeroides 2.4.1

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Cereibacter sphaeroides 2.4.1
Type:
Genome binding/occupancy profiling by genome tiling array; Expression profiling by array
Platforms:
GPL162 GPL10463
21 Samples
Download data: CEL, PAIR
Series
Accession:
GSE39806
ID:
200039806
6.

RpoHI and RpoHII regulons in Rhodobacter sphaeroides 2.4.1 from gene expression profiling

(Submitter supplied) In this study, we performed expression profiling experiments to determine the respective regulons of RpoHI and RpoHII in Rhodobacter sphaeroides. We grew R. sphaeroides in aerobic conditions and induced either proteins ectopically and compared the global gene expression profiles.
Organism:
Cereibacter sphaeroides 2.4.1
Type:
Expression profiling by array
Platform:
GPL162
15 Samples
Download data: CEL
Series
Accession:
GSE39712
ID:
200039712
7.

RpoHI and RpoHII regulons in Rhodobacter sphaeroides 2.4.1 from chromatin immuno-precipitation

(Submitter supplied) In this study, we performed a ChIP-chip experiment to determine the respective regulons of RpoHI and RpoHII in Rhodobacter sphaeroides. We grew R. sphaeroides in aerobic conditions and induced either proteins ectopically and immuno-precipitated the regions of the genomic DNA interacting with the sigma factors.
Organism:
Cereibacter sphaeroides 2.4.1
Type:
Genome binding/occupancy profiling by genome tiling array
Platform:
GPL10463
6 Samples
Download data: PAIR
Series
Accession:
GSE39711
ID:
200039711
8.

Expression data from Neisseria gonorrhoeae (FA19)

(Submitter supplied) Naturally occurring mtrR mutants of gonococci displaying clinically relevant levels of antibiotic resistance are often isolated from patients and mtrR mutants have been reported to be more fit than the wild type parent strain in a murine vaginal infection model. DNA-binding proteins, such as MtrR, that negatively regulate bacterial efflux pump genes have been considered to be “local” gene regulators, although there is increasing evidence that they can directly or indirectly influence expression of other genes. more...
Organism:
Neisseria gonorrhoeae
Type:
Expression profiling by array
Platform:
GPL7218
6 Samples
Download data: CEL, TXT
Series
Accession:
GSE12686
ID:
200012686
9.

Identification of genes involved with P. aeruginosa biofilms

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by array
Platform:
GPL84
10 Samples
Download data: CEL
Series
Accession:
GSE65882
ID:
200065882
10.

Identification of genes involved with P. aeruginosa biofilm antibiotic resistance by microarray analysis

(Submitter supplied) Microarray analysis was used to identify changes in the level of transcription of genes in P. aeruginosa drip flow biofilms in response to ciprofloxacin and tobramycin exposure. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by array
Platform:
GPL84
6 Samples
Download data: CEL, TXT
Series
Accession:
GSE65870
ID:
200065870
11.

Identification of genes induced in P. aeruginosa biofilms by microarray analysis

(Submitter supplied) Transcriptome analysis was applied to characterize the physiological activities of Psuedomonas aeruginosa cells grown for three days in drip flow biofilm reactors when compared to the activities of P. aeruginosa grown planktonically to exponential phase in the same media. Here, rather than examining the effect of an individual gene on biofilm antibiotic tolerance, we used a transcriptomics approach to identify regulons and groups of related genes that are induced during biofilm growth of Pseudomonas aeruginosa. more...
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by array
Platform:
GPL84
4 Samples
Download data: CEL, TXT
Series
Accession:
GSE65869
ID:
200065869
12.

Expression data from Pseudomonas aeruginosa PAO1 and its isogenic ampR mutant in the presence and absence of sub-MIC ß-lactam exposure.

(Submitter supplied) The transcriptional regulator AmpR controls expression of the AmpC ß-lactamase in P. aeruginosa and other bacteria. Studies have demonstrated that in addition to regulating ampC expression, AmpR also regulates the expression of the sigma factor AlgT/U and the production of some quorum-sensing regulated virulence factors. In order to understand the ampR regulon, we compared the expression profiles of PAO1 and its isogenic ampR mutant, PAO∆ampR in the presence and absence of sub-MIC ß-lactam stress. more...
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by array
Platform:
GPL84
12 Samples
Download data: CEL
Series
Accession:
GSE33188
ID:
200033188
13.

Identification of the alternative sigma factor SigX regulon and its implications for Pseudomonas aeruginosa pathogenicity

(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
Series
Accession:
GSE50937
ID:
200050937
14.

Dual RpoH sigma factors in Sinorhizobium meliloti

(Submitter supplied) Sinorhizobium meliloti can live as a soil saprophyte, and can engage in a nitrogen fixing symbiosis with plant roots. To succeed in such diverse environments, the bacteria must continually adjust gene expression. Transcriptional plasticity in eubacteria is often mediated by alternative sigma factors interacting with core RNA polymerase. The S. meliloti genome encodes 14 of these alternative sigmas, including two putative RpoH (heat shock) sigmas. more...
Organism:
Sinorhizobium meliloti; Medicago truncatula
Type:
Expression profiling by array
Platform:
GPL9757
27 Samples
Download data: CEL
Series
Accession:
GSE36186
ID:
200036186
15.

Pseudomonas aeruginosa PA14 differential gene expression in bqsR (PA14_29730) mutants

(Submitter supplied) Before and after anaerobic Fe(II) shocked WT and ∆bqsR of late stationary phase P. aeruginosa PA14 strains Associated publication: Kreamer NN, Costa F, Newman DK. 2015. The ferrous iron-responsive BqsRS two-component system activates genes that promote cationic stress tolerance. mBio 6(1):e02549-14. doi:10.1128/mBio.02549-14.
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18287
12 Samples
Download data: TXT
Series
Accession:
GSE65393
ID:
200065393
16.

RNA-Seq analysis reveals a six-gene SoxR regulon in Streptomyces coelicolor

(Submitter supplied) We report 6 genes that were found to be regulated by SoxR in stationary phase when the bacteria produce the antibiotic actinorhodin. Five of these genes are previously confirmed SoxR targets; the sixth is a novel SoxR-target.
Organism:
Streptomyces coelicolor
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17012
6 Samples
Download data: BEDGRAPH, TXT
Series
Accession:
GSE57268
ID:
200057268
17.

The Mycobacterium tuberculosis ECF sigma Factor sE: role in global gene expression and survival in macrophages

(Submitter supplied) In previously published work, we identified three Mycobacterium tuberculosis sigma (s) factor genes responding to heat shock (sigB, sigE and sigH ). Two of them (sigB and sigE ) also responded to SDS exposure. As these responses to stress suggested that the s factors encoded by these genes could be involved in pathogenicity, we are studying their role in physiology and virulence. In this work, we characterize a sigE mutant of M. more...
Organism:
Mycobacterium tuberculosis
Type:
Expression profiling by array
Platform:
GPL2787
15 Samples
Download data: TXT
Series
Accession:
GSE8664
ID:
200008664
18.

Expression data from Pseudomonas aeruginosa ∆sbrR and ∆sbrIR mutants versus wild type

(Submitter supplied) SbrI and SbrR are an extracytoplasmic function sigma factor and its cognate anti-sigma factor, respectively. To identify the SbrIR regulon, we measured gene expression in wild type PAO1 , PAO1 ∆sbrR, and PAO1 ∆sbrIR mutants using microarrays.
Organism:
Pseudomonas aeruginosa; Pseudomonas aeruginosa PAO1
Type:
Expression profiling by array
Platform:
GPL84
8 Samples
Download data: CEL
Series
Accession:
GSE74917
ID:
200074917
19.

A KDPG sensor RccR governs Pseudomonas aeruginosa carbon metabolism and aminoglycoside antibiotic tolerance

(Submitter supplied) Pseudomonas aeruginosa harbors sophisticated transcription factor (TF) networks to coordinately regulate cellular metabolic states for rapidly adapting to changing environments. The superior capacity in fine-tuning the metabolic states enables its success in tolerance to antibiotics and evading host immune defenses. However, the linkage among transcriptional regulation, metabolic states, and antibiotic tolerance in P. more...
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by high throughput sequencing
Platform:
GPL26913
8 Samples
Download data: XLSX
Series
Accession:
GSE237535
ID:
200237535
20.

Characterization of the GbdR regulon in Pseudomonas aeruginosa

(Submitter supplied) Pseudomonas aeruginosa displays tremendous metabolic diversity, controlled in part by the abundance of transcription regulators in the genome. We have been investigating P. aeruginosa’s response to the host, particularly changes regulated by the host-derived quaternary amines choline and glycine betaine (GB). We previously identified GbdR as an AraC-family transcription factor that directly regulates choline acquisition from host phospholipids (via binding to plcH and pchP promoters), is required for catabolism of the choline metabolite GB, and is an activator that induces transcription in response to GB or dimethylglycine. more...
Organism:
Pseudomonas aeruginosa
Type:
Expression profiling by array
Platform:
GPL84
12 Samples
Download data: CEL
Series
Accession:
GSE49759
ID:
200049759
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