GEO DataSets

(Submitter supplied) Bacteria cope with and adapt to stress by modulating gene expression in response to specific environmental cues. In this study the transcriptional response of Pseudomonas putida KT2440 to oxidative, osmotic, and membrane stress conditions at two time points was investigated via identification of differentially expressed mRNAs and sRNAs. A total of 440 small RNA transcripts were detected, where 10% correspond to previously annotated sRNAs, 40% are novel intergenic transcripts and 50% are novel transcripts antisense to annotated genes. more...

Organism:

Pseudomonas putida KT2440

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17091

21 Samples

Download data: TXT, XLSX

(Submitter supplied) We demonstrate here the transcriptional landscape and functional roles of sRNAs specifically in the regulation of the oxidative stress response of the model haloarchaeon Haloferax volcanii. We sequenced 5 biological replicates of H. volcanii strain H53 under no challenge and oxidative stress (H2O2) conditions at mid-exponential phase (OD 0.4). Thousands of sRNAs, both intergenic and antisense, were discovered using strand-specific sRNA-seq, comprising around 30% of the transcriptome during non-challenged and oxidative stress conditions. more...

Organism:

Haloferax volcanii DS2

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL21976

16 Samples

Download data: TXT

(Submitter supplied) Pseudomonas putida is a microorganism with great potential for industry due to its stress-endurance traits and easy manipulation of the metabolism. However, optimization is still required to improve production yields. In the last years, manipulation of bacterial small non-coding RNAs (ncRNAs) has been recognized as an effective tool to improve the production of industrial compounds. So far, very few ncRNAs are annotated in P. more...

Organism:

Pseudomonas putida

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26512

36 Samples

Download data: TXT

(Submitter supplied) We report the application of a high-throughput technique, RNA-seq, to study the transcriptomic response of P. putida DOT-T1E in the presence of antibiotics with different mechanisms of action with the aim to study in more detail the defense mechanisms that bacteria use to resist against toxic compounds. We find that P. putida DOT-T1E responde in a different way against each antimicrobial compound, what clearly shows that bacteria defense in different ways depending on the targets that compounds uses to attack. more...

Organism:

Pseudomonas putida DOT-T1E

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18568

18 Samples

Download data: TXT

(Submitter supplied) In this study we exploited next-generation Illumina sequencing technology (Wang et al., 2009) to refine the current annotation of the KT2440 genome. Transcriptome sequencing data were queried for yet undescribed small RNAs and ORFs and employed to validate predicted operons and gene coordinates. Expression profiles were measured at 10°C and 30°C to cover the physiologic temperature profile of this mesophilic bacterium. more...

Organism:

Pseudomonas putida KT2440

Type:

Expression profiling by array; Expression profiling by high throughput sequencing

Platforms:

GPL10932 GPL10934 GPL10933

9 Samples

Download data: BED, CEL, TXT

(Submitter supplied) We used Progenika oligonucleotide arrays to monitore the gene expression of P. putida after a cold shock from 30°C to 10°C

Organism:

Pseudomonas putida KT2440

Type:

Expression profiling by array

Platform:

GPL10933

1 Sample

Download data: TXT

(Submitter supplied) We used Affymetrix microarrays to monitore the gene expression of P. putida after a cold shock from 30°C to 10°C

Organism:

Pseudomonas putida KT2440

Type:

Expression profiling by array

Platform:

GPL10932

6 Samples

Download data: CEL, TXT

(Submitter supplied) In Staphylococcus aureus, hundreds of small regulatory or small RNAs (sRNAs) have been identified, yet this class of molecule remains poorly understood and severely understudied. sRNA genes are typically absent from genome annotation files, and as a consequence, their existence is often overlooked, particularly in global transcriptomic studies. To facilitate improved detection and analysis of sRNAs in S. more...

Organism:

Staphylococcus aureus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19476

4 Samples

Download data: XLS

(Submitter supplied) We report the use of Next Generation RNA Sequencing to identifiy novel sRNAs in the human pathogen Staphylococcus aureus

Organism:

Staphylococcus aureus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18481 GPL19531

10 Samples

Download data: TXT

(Submitter supplied) In recent years, the Gram-negative bacterium Acinetobacter baumannii has garnered considerable attention for its unprecedented capacity to rapidly develop resistance to antibacterial therapeutics. This is coupled with the seemingly epidemic emergence of new hyper-virulent strains. Although strain-specific differences for A. baumannii isolates have been well described, these studies have primarily focused on proteinaceous factors. more...

Organism:

Acinetobacter baumannii AB5075

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21208

1 Sample

Download data: XLSX

(Submitter supplied) We present the first genome-wide identification and characterizaion of 422 novel sRNAs in R. capsulatus. In addition we report a comparative analysis of conserved sRNAs across 24 bacterial species.

Organism:

Rhodobacter capsulatus

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL20771

2 Samples

Download data: XLS

(Submitter supplied) Streptococcus pneumoniae (pneumococcus) is a major human respiratory pathogen and a leading cause of bacterial pneumonia worldwide. Small regulatory RNAs (sRNAs), which often act by post-transcriptionally regulating gene expression, have been shown to be crucial for the virulence of S. pneumoniae and other bacterial pathogens. Over 170 putative sRNAs have been identified in S. pneumoniae TIGR4 strain (serotype 4) through transcriptomic studies, and a subset of these sRNAs have been further implicated in regulating pneumococcal pathogenesis. more...

Organism:

Streptococcus pneumoniae D39

Type:

Expression profiling by high throughput sequencing

Platform:

GPL25906

10 Samples

Download data: TXT

(Submitter supplied) Streptococcus pneumoniae (pneumococcus) is a major human respiratory pathogen and the leading cause of bacterial pneumonia worldwide. Small regulatory RNAs (sRNAs), which often act by post-transcriptionally regulating gene expression, have been shown to be crucial for the virulence of S. pneumoniae and other bacterial pathogens. Over 170 putative sRNAs have been identified in S. pneumoniae TIGR4 strain (serotype 4) through transcriptomic studies, and a subset of these sRNAs have been further implicated in regulating pneumococcal pathogenesis. more...

Organism:

Streptococcus pneumoniae D39

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL25906

6 Samples

Download data: BW

(Submitter supplied) Small RNAs are the non-coding RNAs known to regulate various biological functions such as stress adaptation, metabolism, virulence as well as pathogenicity across wide range of bacteria, mainly by controlling mRNA stabilization or regulating translation. Identification and functional characterization of sRNAs that has been carried out in various plant growth promoting bacteria have shown to help the bacterial cell cope up with environmental stress. more...

Organism:

Azospirillum baldaniorum

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL25390

2 Samples

Download data: TXT

(Submitter supplied) Small RNAs (sRNAs) have emerged as important regulatory molecules and have been studied in several bacteria. However, to date, there have been no whole-transcriptome studies on sRNAs in any of the Soft Rot Enterobacteriaceae (SRE) group of pathogens. Although the main ecological niches for these pathogens are plants, a significant part of their life cycle is undertaken outside their host within the adverse soil environment. more...

Organism:

Pectobacterium atrosepticum SCRI1043

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL20147

2 Samples

Download data: TAB, XLSX

(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) We analyzed the transcriptional profile of P.aeruginosa PA14 grown under 14 different environmental conditions. These included conditions of growth within biofilms, at various temperatures, osmolarities and phosphate concentrations, under anaerobic conditions, attached to a surface and conditions encountered within the eukaryotic host. We found that >30% of the PA14 genome was differentially regulated at least under one of the 14 environmental conditions (referred to as the adaptive transcriptome). more...

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18286

47 Samples

Download data: TXT

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

Organism:

Pseudomonas aeruginosa

Type:

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

Platforms:

GPL18287 GPL18286

104 Samples

Download data: TXT

(Submitter supplied) Sigma factors are master regulators of bacterial transcription which direct gene expression of specific subsets of genes. In particular, alternative sigma factors are well-known to be key players of bacterial adaptation to changing environments. To elucidate the regulatory network of sigma factors in P. aeruginosa, an integrative approach including sigma factor-dependent mRNA profiling was performed to define the primary regulon of each sigma factor.

Organism:

Pseudomonas aeruginosa

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18286 GPL18287

70 Samples

Download data: CSV, PDF, TXT, XLS

(Submitter supplied) Sigma factors are master regulators of bacterial transcription which direct gene expression of specific subsets of genes. In particular, alternative sigma factors are well-known to be key players of bacterial adaptation to changing environments. To elucidate the regulatory network of sigma factors in P. aeruginosa, an integrative approach including ChIP-seq of 11 polyhistidine-tag sigma factors was performed to define the primary regulon of each sigma factor.

Organism:

Pseudomonas aeruginosa

Type:

Genome binding/occupancy profiling by high throughput sequencing

Platforms:

GPL18286 GPL18287

34 Samples

Download data: TXT, XLS