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Links from GEO DataSets

Items: 20

1.

Decoding genome-wide GadEWX transcriptional regulatory networks reveals a multifaceted cellular response to acid stress in Escherichia coli [RNA-seq]

(Submitter supplied) The response to acid stress is a fundamental process in bacteria. Three transcription factors, GadE, GadW, and GadX (GadEWX) are known to play a critical role in the transcriptional regulation of glutamate-dependent acid resistance (GDAR) system in Escherichia coli K-12 MG1655. However, the regulatory role of GadEWX in coordinating interacting cellular functions is still unknown. Here, we comprehensively reconstruct genome-wide GadEWX transcriptional regulatory network in E. more...
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16085
8 Samples
Download data: CSV
Series
Accession:
GSE66481
ID:
200066481
2.

Decoding genome-wide GadEWX transcriptional regulatory networks reveals a multifaceted cellular response to acid stress in Escherichia coli

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Escherichia coli str. K-12 substr. MG1655; Escherichia coli
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platforms:
GPL17439 GPL16085
16 Samples
Download data: GFF
Series
Accession:
GSE66482
ID:
200066482
3.

Decoding genome-wide GadEWX transcriptional regulatory networks reveals a multifaceted cellular response to acid stress in Escherichia coli [ChIP-seq]

(Submitter supplied) The response to acid stress is a fundamental process in bacteria. Three transcription factors, GadE, GadW, and GadX (GadEWX) are known to play a critical role in the transcriptional regulation of glutamate-dependent acid resistance (GDAR) system in Escherichia coli K-12 MG1655. However, the regulatory role of GadEWX in coordinating interacting cellular functions is still unknown. Here, we comprehensively reconstruct genome-wide GadEWX transcriptional regulatory network in E. more...
Organism:
Escherichia coli str. K-12 substr. MG1655
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17439
8 Samples
Download data: GFF
Series
Accession:
GSE66441
ID:
200066441
4.

Polyamines induce the glutamate decarboxylase acid response system by increasing the level of the σ38 subunit (RpoS) of Escherichia coli RNA polymerase via gadE regulon

(Submitter supplied) To study the physiological roles of polyamines, we have carried out a global microarray analysis on the effect of adding polyamines to an Escherichia coli mutant that lacks polyamines because of deletions in the genes in the polyamine biosynthetic pathway. Previously, we have reported that the earliest response to the polyamine addition is the increased expression of the genes for the glutamate dependent acid resistance system (GDAR). more...
Organism:
Escherichia coli
Type:
Expression profiling by array
Platform:
GPL3154
24 Samples
Download data: CEL
Series
Accession:
GSE67119
ID:
200067119
5.

Polyamines are critical for the induction of the glutamate decarboxylase-dependent acid resistance system in Escherichia coli

(Submitter supplied) As part of our studies on the biological functions of polyamines we have used a mutant of Escherichia coli that lacks all the genes for polyamine biosynthesis for a global transcription analysis on the effect of added polyamines. The most striking early response to polyamine addition is the increased expression of the genes for the glutamate dependent acid resistance system (GDAR) that is essential for the survival of bacteria when passing through the acid environment of the stomach. more...
Organism:
Escherichia coli
Type:
Expression profiling by array
Platform:
GPL3154
12 Samples
Download data: CEL, CHP
Series
Accession:
GSE49918
ID:
200049918
6.

Genome-wide OxyR and SoxRS transcriptional regulatory networks coordinate complex cellular responses to oxidative stress

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Escherichia coli
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL16085
14 Samples
Download data: GFF
Series
Accession:
GSE65712
ID:
200065712
7.

Genome-wide OxyR and SoxRS transcriptional regulatory networks coordinate complex cellular responses to oxidative stress [RNA-seq]

(Submitter supplied) Oxidative stress that originates from reactive oxygen species (ROS) is an inevitable consequence of aerobic respiration in bacteria. Three transcription factors (TFs), OxyR, SoxR, and SoxS play a critical role in transcriptional regulation of the defense system. However, the full genome-wide regulatory potential of them remains elusive. Here, we comprehensively reconstruct genome-wide OxyR, SoxR, and SoxS transcriptional regulatory networks in Escherichia coli under oxidative stress. more...
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16085
8 Samples
Download data: CSV
Series
Accession:
GSE65711
ID:
200065711
8.

Genome-wide OxyR and SoxRS transcriptional regulatory networks coordinate complex cellular responses to oxidative stress [ChIP-seq]

(Submitter supplied) Oxidative stress that originates from reactive oxygen species (ROS) is an inevitable consequence of aerobic respiration in bacteria. Three transcription factors (TFs), OxyR, SoxR, and SoxS play a critical role in transcriptional regulation of the defense system. However, the full genome-wide regulatory potential of them remains elusive. Here, we comprehensively reconstruct genome-wide OxyR, SoxR, and SoxS transcriptional regulatory networks in Escherichia coli under oxidative stress. more...
Organism:
Escherichia coli
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL16085
6 Samples
Download data: GFF
Series
Accession:
GSE65710
ID:
200065710
9.

Revealing the genome-scale transcriptional regulatory landscape of OmpR highlights its expanded regulatory roles and unexpected importance of narU under osmotic stress in Escherichia coli K-12 MG1655

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Escherichia coli str. K-12 substr. MG1655
Type:
Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing
Platform:
GPL17439
6 Samples
Download data: GFF
Series
Accession:
GSE88981
ID:
200088981
10.

Revealing the genome-scale transcriptional regulatory landscape of OmpR highlights its expanded regulatory roles and unexpected importance of narU under osmotic stress in Escherichia coli K-12 MG1655 [RNA-seq]

(Submitter supplied) A transcription factor (TF), OmpR, plays a critical role in transcriptional regulation of the defense system for osmotic stress in bacteria. However, its full genome-wide regulatory potential is unknown. Here, we perform a genome-scale reconstruction of the OmpR regulon in Escherichia coli K-12 MG1655. Integrative data analysis reveals that a total of 37 genes in 24 transcription units (TUs) belong to OmpR regulon. more...
Organism:
Escherichia coli str. K-12 substr. MG1655
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17439
4 Samples
Download data: CSV
Series
Accession:
GSE88980
ID:
200088980
11.

Revealing the genome-scale transcriptional regulatory landscape of OmpR highlights its expanded regulatory roles and unexpected importance of narU under osmotic stress in Escherichia coli K-12 MG1655 [ChIP-exo]

(Submitter supplied) A transcription factor (TF), OmpR, plays a critical role in transcriptional regulation of the defense system for osmotic stress in bacteria. However, its full genome-wide regulatory potential is unknown. Here, we perform a genome-scale reconstruction of the OmpR regulon in Escherichia coli K-12 MG1655. Integrative data analysis reveals that a total of 37 genes in 24 transcription units (TUs) belong to OmpR regulon. more...
Organism:
Escherichia coli str. K-12 substr. MG1655
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL17439
2 Samples
Download data: GFF
Series
Accession:
GSE88979
ID:
200088979
12.

Time series (T= 0-4 hours) for E. coli K-12 MC4100 after a shift from 23˚C to 37˚C (M9 minimal glycerol medium, exponential phase growth)

(Submitter supplied) We investigated the effect of a temperature shift from 23˚C to 37˚C, mimicking the temperature transition experienced by a microbe as it enters a human host. This strategy allowed the exploration of the kinetics of gene expression changes in immediate response to a temperature upshift and to characterize the suite of genes required to respond to 37˚C in the first few hours. We demonstrate that a significant number of genes are rapidly altered in expression within minutes to hours after a temperature shift. more...
Organism:
Escherichia coli
Type:
Expression profiling by array
Platform:
GPL6540
9 Samples
Download data: GPR, XLSX
Series
Accession:
GSE165794
ID:
200165794
13.

Analysis of the evolutionary adaptation of an AraC-like global regulatory protein in the murine enteric pathogen Citrobacter rodentium

(Submitter supplied) An experiment to test the equivalence of the Citrobacter rodentium RegA and E.Coli SMS 3-5 homologue
Organism:
Citrobacter rodentium
Type:
Expression profiling by array
Platform:
GPL7345
16 Samples
Download data: TXT
Series
Accession:
GSE57689
ID:
200057689
14.

The genome-wide transcriptional response to varying RpoS levels in Escherichia coli.

(Submitter supplied) We varied RpoS levels using a mutation or an arabinose-inducible RpoS construct during stationary phase in rich media. We then sequenced cDNA from three separate RpoS levels, corresponding to 0%, 26% and 100% of wild-type levels.
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL14548
6 Samples
Download data: GFF, TXT
Series
Accession:
GSE87856
ID:
200087856
15.

Systematic identification of metabolites controlling gene expression in E. coli

(Submitter supplied) Cellular metabolism controls gene expression through allosteric interactions between metabolites and transcription factors. Methods to detect these regulatory interactions are mostly based on in vitro binding assays, but there are no methods to identify them at a genome-scale in vivo. Here we show that dynamic transcriptome and metabolome data identify metabolites that are potential effectors of transcription factors in E. more...
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL26155
56 Samples
Download data: CSV
Series
Accession:
GSE131992
ID:
200131992
16.

Dynamics of Ecoli Aerobic to Anaerobic Switch Response

(Submitter supplied) The experiment is a time course for the aerobic to anaerobic switch response in E. coli. The data was used to validate the utility of a set of predicted transcription factor gene interactions for modeling the dynamic regulatory response networks of this response. The transcription factor gene interaction predictions were generated by a semi-supervised classification method that takes advantage of a separate compendium of gene expression and a data set of curated interactions. more...
Organism:
Escherichia coli
Type:
Expression profiling by array
Platforms:
GPL5435 GPL5436
11 Samples
Download data: XLS
Series
Accession:
GSE8323
ID:
200008323
17.

Regulatory proteins control a transcriptional network in response to antibiotic stress

(Submitter supplied) In a given bacterial population, antibiotic treatment kills a large portion of the population, while a small, tolerant subpopulation survives. Tolerant cells disrupt the efficacy of antibiotic treatment and increase the likelihood that a population gains antibiotic resistance. Antibiotic tolerance is different from resistance because tolerant cells cannot grow and replicate in the presence of the antibiotic, but when the antibiotic is removed, they begin to propagate. more...
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL14548
18 Samples
Download data: CSV
Series
Accession:
GSE156896
ID:
200156896
18.

Deconvoluting Independent Regulatory Signals in the Escherichia coli Transcriptome

(Submitter supplied) ChIPexo experiment was performed on E. coli K12 MG1655 with various supplements designed to activate transcriptional regulators
Organism:
Escherichia coli K-12
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL24377
4 Samples
Download data: GFF
Series
Accession:
GSE122320
ID:
200122320
19.

Expression profiling of multiple Escherichia coli strains on glucose minimal media

(Submitter supplied) RNA sequencing was performed on multiple E. coli strains grown on glucose minimal media
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16085
14 Samples
Download data: CSV
Series
Accession:
GSE122296
ID:
200122296
20.

Expression profiling to identify independent regulatory signals in Escherichia coli

(Submitter supplied) RNA sequencing was performed on E. coli K12 MG1655 with various supplements designed to activate transcriptional regulators
Organism:
Escherichia coli
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21433
30 Samples
Download data: CSV
Series
Accession:
GSE122295
ID:
200122295
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