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GSE139075
Mus musculus
10 Downloadable Samples
Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
TGR5 (Gpbar1) is a G protein-coupled receptor responsive to bile acids (BAs), which is expressed in different non-parenchymal cells of the liver, including biliary epithelial cells, liver-resident macrophages, sinusoidal endothelial cells (LSECs) and activated hepatic stellate cells (HSCs). Mice with targeted deletion of TGR5 are more susceptible towards cholestatic liver injury induced by cholic acid-feeding and bile duct ligation, resulting in a reduced proliferative response and increased liver injury. Conjugated lithocholic acid (LCA) represents the most potent TGR5 BA ligand and LCA-feeding has been used as a model to rapidly induce severe cholestatic liver injury in mice. Thus, TGR5 knockout (KO) mice and wildtype littermates were fed a diet supplemented with 1%LCA for 84 hours. Liver injury and gene expression changes induced by the LCA-diet revealed an enrichment of pathways associated with inflammation, proliferation and matrix remodelling. Knockout of TGR5 in mice caused upregulation of endothelin-1 (ET-1) expression in the livers. Analysis of TGR5-dependent ET-1 signalling in isolated LSECs and HSCs demonstrated that TGR5 activation reduces ET-1 expression and secretion from LSECs and triggers internalization of the ET-1 receptor in HSCs dampening ET-1 responsiveness. Thus, we identified two independent mechanisms by which TGR5 inhibits ET-1 signalling and modulates portal pressure.
Publication Title
The G Protein-Coupled Bile Acid Receptor TGR5 (Gpbar1) Modulates Endothelin-1 Signaling in Liver.
Sample Metadata Fields
Sex
View Samples- Pseudomonas aeruginosa
- 70 Downloadable Samples
Illumina HiSeq 2500, Illumina Genome Analyzer IIx
Description
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. Overall design: Sigma factor hyper-expressing strains harboring the sigma factor gene in trans under control of the araBAD promoter and sigma factor deletion mutants were constructed. Under optimal conditions regarding sigma factor activity and optional induction of sigma factor expression, bacteria were harvested and total RNA was extracted. Upon mRNA enrichment, RNA was fragmented and ligated to specific RNA-adapters containing a hexameric barcode sequence for multiplexing. These RNA-libraries were reverse transcribed and amplified resulting in cDNA libraries which were sequenced on Illumina platforms. Sequence reads were separated according to their barcodes and barcode sequences were removed. The short reads were mapped to the genome sequence of the reference strain P. aeruginosa PA14 wild-type using stampy with default settings. The R package DESeq was used for differential gene expression analysis.
Publication Title
Antisense transcription in Pseudomonas aeruginosa.
Sample Metadata Fields
Disease, Subject
View Samples- Pseudomonas aeruginosa
- 47 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
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). Most of the genes were also differentially regulated upon sigma factor hyper expression and/or inactivation (GEO accession number GSE54999) and many of those belonged to primary alternative sigma factor regulons. Overall design: The samples of P. aeruginosa PA14 wild type strain were cultivated under 14 different experimental conditions and were analyzed by RNA-seq. For each condition, at least two biological replicates were generated Please note that PA14 is our standard lab strain used for all generated data in this records. There is no mutation introduced for any of those experiments, and thus, the descriptions only highlight the growth conditions.
Publication Title
Antisense transcription in Pseudomonas aeruginosa.
Sample Metadata Fields
Cell line, Subject
View Samples- Pseudomonas aeruginosa
- 4 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
Experimental Design
Publication Title
Quorum-sensing antagonistic activities of azithromycin in Pseudomonas aeruginosa PAO1: a global approach.
Sample Metadata Fields
No sample metadata fields
View Samples- Pseudomonas aeruginosa
- 26 Downloadable Samples
- Illumina HiSeq 2500
Description
We demonstrate that the versatile environmental bacterium Pseudomonas aeruginosa adapts a virulence phenotype after serial passage in Galleria mellonella as an invertebrate model host. The virulence phenotype was not linked to the acquisition of genetic variations and was sustained for several generations, despite cultivation of the ex vivo virulence-adapted P. aeruginosa cells under non-inducing rich medium conditions. Transcriptional reprogramming seemed to be induced by a host-specific food source as reprogramming was also observed upon cultivation of P. aeruginosa in medium supplemented with polyunsaturated long-chain fatty acids. Methods : mRNA profiles were generated for Pseudomonas aerugionsa samples derived from LB-cultures grown to an OD600 =2. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using Stampy pipeline with defaut settings. Overall design: Isolate CH2658 was subjected to in vivo and in vitro evolution experiments in this study. This isolate was obtained from the lab of G. Gastmeier, Charite Berlin, Germany. The in vivo passages (using G. mellonella) are named CH2658 I-IV corresponding to passages 1 4. The last passage CH2658 IV corresponds to the “evolved strain” and was passaged in LB (four days, two passages a day) to generate revertants which are referred to as CH2658 Rev1-4 corresponding to samples from day1-4. The last passage CH2658 Rev4 is called “revertant”. Additionally, the clinical isolate was passaged under in vitro conditions in the presence of linolenic acid (Roth) with (CH2658 Lil+P) and without paraffin (CH2658 Lil). As controls, CH2658 was passaged in LB (CH2658 LB) and in LB supplemented with paraffin (CH2658 LB+P). The in vitro passage experiment was conducted for four days and two passages a day.
Publication Title
Establishment of an induced memory response in Pseudomonas aeruginosa during infection of a eukaryotic host.
Sample Metadata Fields
Subject
View Samples- Pseudomonas aeruginosa
- 14 Downloadable Samples
- Illumina Genome Analyzer IIx, Illumina HiSeq 2500
Description
Gene regulation via transcription factors influences the metabolic, adaptive and pathogenic capabilities of the organism. We report the transcriptomes of the mutants of six major P. aeruginosa PA14 trancription factors - RhlR, LasR, Anr, GacA, FleQ and CbrB. Overall design: The P. aeruginosa PA14 transposon mutants were analyzed by RNA-seq. All samples were cultivated in LB medium until reaching an OD600 of 2.0. For each biological replicate, three cultures were pooled for RNA extraction, library preparation and sequencing.
Publication Title
Functional modules of sigma factor regulons guarantee adaptability and evolvability.
Sample Metadata Fields
Subject
View Samples- Pseudomonas aeruginosa
- 10 Downloadable Samples
- Illumina HiSeq 2500
Description
Purpose: The goal of this study was to use RNA Seq to explore whether and to what extent genetic heterogeneity would shape the transcriptional profile in the environment of the CF lung Methods : mRNA profiles were generated for Pseudomonas aerugionsa samples derived from explanted lung tissue or pure cultures isolated from the same lung regions by deep sequencing. To enrich the bacterial RNA MicrobeEnrich Kit (Ambion) was used. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the PAO1 NC_002516 reference genome from NCBI using Stampy pipeline with defaut settings. Overall design: mRNA profiles either from Pseudomonas aeruginosa containing explanted lung tissue from a single patient from various regions of the lung or pure P. aeruginosa liquid cultures grown in LB at 37C from the same lung regions as the ex vivo samples were generated and deep sequenced using Illumina HiSeq 2500.
Publication Title
Genetically diverse Pseudomonas aeruginosa populations display similar transcriptomic profiles in a cystic fibrosis explanted lung.
Sample Metadata Fields
Subject
View Samples- Pseudomonas aeruginosa
- 167 Downloadable Samples
- Illumina NovaSeq 6000, Illumina HiSeq 2500
Description
Purpose : The goal of this study was to use RNA-seq to compare transcriptional profiles under biofilm conditions with planktonic growth and explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as biofilm structure or virulence. Methods : mRNA profiles were generated for Pseudomonas aeruginosa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina). The samples were sequenced in single end mode on an Illumina HiSeq 2500 device or paired end mode on an Illumina Novaseq 6000. mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using bowtie2 with default settings. Overall design: mRNA profiles from Pseudomonas aeruginosa derived from static biofilm cultures grown for 12h to 48h in 96-well microtiter plates or planktonic LB cultures grown to an OD600 = 2 and deep sequenced using Illumina HiSeq 2500/NovaSeq 6000.
Publication Title
Parallel evolutionary paths to produce more than one <i>Pseudomonas aeruginosa</i> biofilm phenotype.
Sample Metadata Fields
Subject
View Samples- Pseudomonas aeruginosa
- 414 Downloadable Samples
- Illumina HiSeq 2500
Description
Purpose : The goal of this study was to use RNA Seq to explore the correlation of gene expression of a collection of clinical P. aeruginosa isolates to various phenotypes, such as antimicrobial resistance, biofilm formation or virulence Methods : mRNA profiles were generated for Pseudomonas aerugionsa clinical samples derived from various geographical locations by deep sequencing. The removal of ribosomal RNA was performed using the Ribo-Zero Bacteria Kit (Illumina) and cDNA libraries were generated with the ScriptSeq v2 Kit (Illumina) . The samples were sequenced in single end mode on an Illumina HiSeq 2500 device and mRNA reads were trimmed and mapped to the NC_008463.1 (PA14) reference genome from NCBI using Stampy pipeline with defaut settings. Overall design: mRNA profiles from Pseudomonas aeruginosa derived from liquid LB cultures grown to an OD600 = 2 and deep sequenced using Illumina HiSeq 2500.
Publication Title
Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics.
Sample Metadata Fields
Disease, Subject
View Samples- Homo sapiens
- 4 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip, Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
MEK inhibitors activate Wnt signalling and induce stem cell plasticity in colorectal cancer.
Sample Metadata Fields
Specimen part, Treatment
View Samples