GEO DataSets

(Submitter supplied) The transcription profile of C. acetobutylicum to two major metabolite stress, butanol and butyric acid, was comprehensively investigated at three different concentrations of each metabolite and at four different time points (15, 30, 60 and 75 min post stress). All experiments were performed in 3 parallel biological replicates and the RNA extraction was perfomed in a manner to retain the small RNAs and hence, investigate their role and expression under stress.

Organism:

Clostridium acetobutylicum

Type:

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

Platform:

GPL17364

84 Samples

Download data: TXT

(Submitter supplied) Clostridium acetobutylicum is a Gram positive, endospore forming firmicute that has been known as the model organims for ABE (acetone-butanol-ethanol) fermentation. With its ability to consume a wide variety of substrates, C. acetobutylicum carries out a biphasic ABE fermentation, which consists of the acidogenic growth phase with the formation of butyric acid and acetic acid, followed by the solventogenic stationary phase with the formation of acetone, butanol and ethanol, characterised by the reassimilation of acids. more...

Organism:

Clostridium acetobutylicum ATCC 824

Type:

Expression profiling by array

Platform:

GPL10908

24 Samples

Download data: TXT

(Submitter supplied) Clostridium acetobutylicum is a Gram positive, endospore forming firmicute that has been known as the model organims for ABE (acetone-butanol-ethanol) fermentation. With its ability to consume a wide variety of substrates, C. acetobutylicum carries out a biphasic ABE fermentation, which consists of the acidogenic growth phase with the formation of butyric acid and acetic acid, followed by the solventogenic stationary phase with the formation of acetone, butanol and ethanol, characterised by the reassimilation of acids. more...

Organism:

Clostridium acetobutylicum ATCC 824

Type:

Expression profiling by array

Platform:

GPL10908

24 Samples

Download data: TXT

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

Organism:

Clostridium acetobutylicum; Clostridium acetobutylicum ATCC 824

Type:

Expression profiling by array

Platform:

GPL3820

53 Samples

Download data: GPR

(Submitter supplied) Metabolite accumulation has pleiotropic, including toxic, effects on cellular physiology, but such effects are not well understood at the genomic level. Using DNA microarrays, the Clostridium acetobutylicum transcriptional stress response to acetate was analyzed. Keywords: stress response

Organism:

Clostridium acetobutylicum ATCC 824; Clostridium acetobutylicum

Type:

Expression profiling by array

Platform:

GPL3820

17 Samples

Download data: GPR

(Submitter supplied) Metabolite accumulation has pleiotropic, including toxic, effects on cellular physiology, but such effects are not well understood at the genomic level. Using DNA microarrays, the Clostridium acetobutylicum transcriptional stress response to butanol was analyzed. Keywords: stress response

Organism:

Clostridium acetobutylicum ATCC 824; Clostridium acetobutylicum

Type:

Expression profiling by array

Platform:

GPL3820

22 Samples

Download data: GPR

(Submitter supplied) Metabolite accumulation has pleiotropic, including toxic, effects on cellular physiology, but such effects are not well understood at the genomic level. Using DNA microarrays, the Clostridium acetobutylicum transcriptional stress response to butyrate was analyzed. Keywords: stress response

Organism:

Clostridium acetobutylicum ATCC 824; Clostridium acetobutylicum

Type:

Expression profiling by array

Platform:

GPL3820

14 Samples

Download data: GPR

(Submitter supplied) RNA-based regulation of gene expression is substantially contributing to the ability of bacteria to rapidly adapt to changing environmental conditions. This study employs RNAseq to define the transcriptome of Caulobacter in response to treatment with the DNA-crosslinking agent mitomycin C. We identify a small, regulatory RNA ChvR synthesized under the control of the conserved ChvIG two-component system which represses production of a TonB-dependent receptor, ChvT, in Caulobacter crescentus. more...

Organism:

Caulobacter vibrioides NA1000

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21317

6 Samples

Download data: WIG

(Submitter supplied) We report the transcriptomic profile of Escherichia coli when the small RNA RydC is overexpressedand how this can be used to identify putative mRNA targets. This technique allowed us to identify potential mRNA targets to further validate in vivo.

Organism:

Escherichia coli str. K-12 substr. MG1655

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15010

6 Samples

Download data: TXT, WIG

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

Organism:

Vibrio cholerae C6706

Type:

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

Platforms:

GPL26051 GPL26050

16 Samples

Download data

(Submitter supplied) In this study we subjected a library of synthetic sRNAs to multiple rounds of ethanol selection and analyzed changes in sRNA variant abundance by high-throughput sequencing.

Organism:

Vibrio cholerae C6706

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL26051

7 Samples

Download data: CSV

(Submitter supplied) In this study we determined the target spectra of the MicV and VrrA sRNAs via pulse-expression followed by RNA-sequencing.

Organism:

Vibrio cholerae C6706

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26050

9 Samples

Download data: XLSX

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

Organism:

Escherichia coli str. K-12 substr. MG1655

Type:

Expression profiling by high throughput sequencing; Other

Platforms:

GPL24659 GPL26592

30 Samples

Download data: FA, GTF

(Submitter supplied) By shaping gene expression profiles, small RNAs (sRNAs) enable bacteria to efficiently adapt to changes in their environment. To better understand how Escherichia coli acclimatizes to nutrient availability, we performed UV cross-linking, ligation and sequencing of hybrids (CLASH) to uncover Hfq-associated RNA-RNA interactions at specific growth stages. We demonstrate that Hfq CLASH robustly captures bona fide RNA-RNA interactions identified hundreds of novel sRNA base-pairing interactions, including many sRNA-sRNA interactions and involving 3’UTR-derived sRNAs. more...

Organism:

Escherichia coli str. K-12 substr. MG1655

Type:

Other

Platform:

GPL24659

16 Samples

Download data: TXT

(Submitter supplied) By shaping gene expression profiles, small RNAs (sRNAs) enable bacteria to efficiently adapt to changes in their environment. To better understand how Escherichia coli acclimatizes to nutrient availability, we performed UV cross-linking, ligation and sequencing of hybrids (CLASH) to uncover Hfq-associated RNA-RNA interactions at specific growth stages. We demonstrate that Hfq CLASH robustly captures bona fide RNA-RNA interactions identified hundreds of novel sRNA base-pairing interactions, including many sRNA-sRNA interactions and involving 3’UTR-derived sRNAs. more...

Organism:

Escherichia coli str. K-12 substr. MG1655

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26592

14 Samples

Download data: XLSX

(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) In many gram-negative and some gram-positive bacteria small regulatory RNAs (sRNAs) that bind the RNA chaperone Hfq have a pivotal role in modulating virulence, stress responses, metabolism, and biofilm formation. These sRNAs recognize transcripts through base-pairing, and sRNA-mRNA annealing consequently alters the translation and/or stability of transcripts leading to changes in gene expression. We have previously found that the highly conserved 3'-to-5' exoribonuclease polynucleotide phosphorylase (PNPase) has an indispensable role in paradoxically stabilizing Hfq-bound sRNAs and promoting their function in gene regulation in Escherichia coli. more...

Organism:

Escherichia coli str. K-12 substr. MG1655

Type:

Expression profiling by high throughput sequencing; Other

Platform:

GPL15010

12 Samples

Download data: TXT, 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) The rice blast fungus, Magnaporthe oryzae is a destructive pathogen of rice and other related crops, causing significant yield losses worldwide. Endogenous small RNAs (sRNAs), including small interfering RNAs (siRNAs) and microRNAs (miRNAs) are critical components of gene regulation in many eukaryotic organisms. Recently several new species of sRNAs have been identified in fungi. This fact along with the availability of genome sequence makes M. more...

Organism:

Oryza sativa; Pyricularia oryzae

Type:

Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL9316 GPL16451

8 Samples

Download data: TXT

(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