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GSE8083
Pseudomonas aeruginosa
5 Downloadable Samples
Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
b-Oxidative enzymes for fatty acid degradation (Fad) of long-chain fatty acid (LCFA), a component of lung surfactant phosphatidylcholine, are induced in vivo during lung infection in cystic fibrosis patients, which could contribute to nutrient acquisition and pathogenesis of Pseudomonas aeruginosa. In addition, fatty acid biosynthesis (Fab) is essential for the syntheses of two virulence controlling acylated-homoserine-lactone molecules in this organism. We mapped the promoter regions of the fadBA5-operon (PA3014 and PA3013) and a fadE homologue (PA2815) involved in Fad and the fabAB-operon involved in Fab. Focusing on the transposon mutagenesis of strain PAO1 carrying the PfadBA5-lacZ fusion, we identified a regulator for the fadBA5-operon to be PsrA (PA3006). Transcriptome analysis of the DpsrA mutant indicates its importance in regulating b-oxidative enzymes, which confirms a previous proteomic study. We further showed that induction of the fadBA-operon responds to LCFA signals, and this induction requires the presence of PsrA, suggesting that PsrA binds to LCFA to derepress fadBA5. Electrophoresis mobility shift assay indicate specific binding of PsrA to the fadBA5-promoter region. This binding is disrupted by specific LCFA (C18:1D9, C16:0, and to a lesser extent C14:0), but not by the first intermediate of b-oxidation, acyl-CoA. We proposed that PsrA is a Fad-regulator that binds and responds to LCFA signals in Pseudomonas aeruginosa.
Publication Title
The Pseudomonas aeruginosa PsrA responds to long-chain fatty acid signals to regulate the fadBA5 beta-oxidation operon.
Sample Metadata Fields
No sample metadata fields
View Samples- Pseudomonas aeruginosa
- 14 Downloadable Samples
- Affymetrix Pseudomonas aeruginosa Array (paeg1a)
Description
One of the hallmarks of Pseudomonas aeruginosa cystic fibrosis (CF) infection is very high-cell-density (HCD) replication in the lung, allowing this bacterium to induce virulence controlled by HCD quorum-sensing systems. However, the nutrient sources sustaining HCD replication in this chronic infection is largely unknown. Hence, understanding the nutrient factors contributing to HCD in the CF lung will yield new insights into the 'metabolic pathogenicity' and potential treatment of CF infections caused by P. aeruginosa. Herein, we performed microarray studies of P. aeruginosa directly isolated from the CF lung to demonstrate its metabolic capability and virulence in vivo. Our in vivo microarray data, confirmed by real-time reverse-transcription-PCR, indicated P. aeruginosa expressed several genes for virulence, drug-resistance, and utilization of multiple nutrient sources (lung surfactant lipids and amino acids) contributing to HCD replication. The data also indicates deregulation of several pathways, suggesting in vivo evolution by deregulation of a large portion of the transcriptome during chronic CF infection. To our knowledge, this is the first in vivo transcriptome of P. aeruginosa in a natural CF infection, and it indicates several important aspects of pathogenesis, drug-resistance, and nutrient-utilization never before observed in vivo.
Publication Title
In vivo evidence of Pseudomonas aeruginosa nutrient acquisition and pathogenesis in the lungs of cystic fibrosis patients.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
NextSeq 500
Description
Purpose: 1. Bulk-RNA-Seq was performed to identify tancytye-enriched genes. 2. scRNA-Seq was performed to profile hypothalamic cells following leptin treatment Conclusions: Leptin receptor expression in tanycytes is either absent or undetectably low, that tanycytes do not directly regulate hypothalamic leptin signaling, and that leptin regulates gene expression in diverse hypothalamic cell types through both direct and indirect mechanisms. Overall design: Methods 1 (Bulk-RNA-Seq). Flow-sorted RNA samples from Rax-EGFP BAC transgenic mice were sent to the Deep Sequencing and Microarray Core (Johns Hopkins University) for library preparation and sequencing. Briefly, polyadenylated RNA was purified from the total RNA samples using Oligo dT conjugated magnetic beads and prepared for single-end sequencing according to the Illumina TruSeq RNA Sample Preparation Kit v2 (# RS-122-2001, Illumina). The libraries were sequenced for paired-end 75 cycles using the TruSeq SBS kit on NextSeq 500 system. Filtered sequencing reads were mapped to the mouse reference genome (mm10) using TopHat. FPKM value for each gene was estimated using Cufflink. Methods 2 (scRNA-Seq). Mice brain coronal slices (aCSF- or leptin-infused) were dissociated using Act-Seq protocol and re-suspended cells were loaded into V2 10x Genomics Chromium Single Cell system, and libraries were sequenced on Illumina NextSeq with ~150 million reads per library. Sequencing results were processed 10x Genomics pipeline. Seurat V2 was used to perform downstream analysis following the standard pipeline using cells with more than 500 genes and 1000 UMI counts.
Publication Title
Tanycyte-Independent Control of Hypothalamic Leptin Signaling.
Sample Metadata Fields
Age, Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 23 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We have performed gene expression microarray analysis to profile transcriptomic signatures affected by EtOH in human dental pulp stem cells
Publication Title
Genome-wide transcriptomic alterations induced by ethanol treatment in human dental pulp stem cells (DPSCs).
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Illumina Genome Analyzer II
Description
The goal of the study was to compare gene expression of P0 wild-type and P0 Satb2-/- cortices. Total RNAs were isolated from P0 cortices dissected from wild-type and Satb2-/- mice (n=3 for each genotype), following Qiagen RNAeasy kit instruction.Sequence libraries were made following Illumina RNA TruSeq library preparation guide.The libaries were pair-end sequenced (50nt per end). Differentially expressed genes were identified by DESEQ. Overall design: Total RNAs were isolated from P0 cortices (3 control and 3 mutants), and sequenced on Illumina Genome Analyzer
Publication Title
Mutual regulation between Satb2 and Fezf2 promotes subcerebral projection neuron identity in the developing cerebral cortex.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 8 Downloadable Samples
- Illumina HiSeq 2500
Description
Differential gene expression analysis were performed between Pitx1 silenced SCC cells and controls in two independent SCC lines Overall design: Compared control and Pitx1 deficient cells to define gene sets control by Pitx1 in SCCs.
Publication Title
De Novo PITX1 Expression Controls Bi-Stable Transcriptional Circuits to Govern Self-Renewal and Differentiation in Squamous Cell Carcinoma.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Transfection experiments aimed at understanding the impact of upregulating lncRNA RP11-326A19.4 on the transcriptome; follow-up of GSE132451
Publication Title
<i>CARMAL</i> Is a Long Non-coding RNA Locus That Regulates <i>MFGE8</i> Expression.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Deletion experiment aimed at understanding the role of lncRNA RP11-326A19.4 /CARMAL via its deletion. The impact on of the deletion on the transcriptome was assessed by array analysis.
Publication Title
<i>CARMAL</i> Is a Long Non-coding RNA Locus That Regulates <i>MFGE8</i> Expression.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 88 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The biology underlying nodal metastasis is poorly understood. Transcriptome profiling has helped to characterize both primary tumors seeding nodal metastasis and the metastasis themselves. The interpretation of these data, however, is not without ambiguities. Here we profiled the transcriptomes of 17 papillary thyroid cancer (PTC) nodal metastases, associated primary tumors and primary tumors from N0 patients. We also included patient-matched normal thyroid and lymph node samples as controls to address some limits of previous studies. We found that the transcriptomes of patient-matched primary tumors and metastases were more similar than of unrelated metastases/primary pairs, a result also reported in other organ systems, and that part of this similarity reflected patient background. We found that the comparison of patient-matched primary tumors and metastases was heavily confounded by the presence of lymphoid tissues in the metastasis samples. An original data adjustment procedure was developed to circumvent this problem. It revealed a differential expression of stroma-related gene expression signatures also regulated in other organ systems. The comparison of N0 vs. N+ primary tumors uncovered a signal irreproducible across independent PTC datasets. This signal was also detectable when comparing the normal thyroid tissues adjacent to N0 and N+ tumors, suggesting a cohort specific bias also likely to be present in previous studies with similar statistical power. Classification of N0 vs. N+ yielded an accuracy of 63%, but additional statistical controls not presented in previous studies, revealed that this is likely to occur by chance alone. To address this issue, we used large datasets from The Cancer Genome Atlas and showed that N0 vs. N+ classification rates could not be reached randomly for most cancers. Yet, it was significant, but of limited accuracy (<70%) for thyroid, breast and head and neck cancers.
Publication Title
Revisiting the transcriptional analysis of primary tumours and associated nodal metastases with enhanced biological and statistical controls: application to thyroid cancer.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 23 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Robust enumeration of cell subsets from tissue expression profiles.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples