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SRP173226
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
- 38 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
MiRNAs are discussed as diagnostic and therapeutic molecules. However, effective miRNA drug treatments with miRNAs are so far hampered by the complexity of the miRNA networks. To identify potential miRNA drugs in colorectal cancer, we profiled miRNA and mRNA expression in matching normal, tumor and metastasis tissues of eight patients by Illumina sequencing. We identified miRNA-1 as top candidate differentially expressed in tumor and metastasis. Furthermore, miRNA-1 was de-regulated in 16 additional tumor entities underscoring its central role in tumor pathogenesis. Functional analyses showed an additive effect of miRNA-1 with camptothecin treatment. We used a systems-biology simulation of cellular cancer models implemented in PyBios to investigate miRNA-1 function and assessed the effects of depletion as well as overexpression in terms of miRNA-1 as a potential treatment option. In this system miRNA-1 treatment reverted the disease phenotype with different effectiveness among the patients. Scoring the gene expression changes obtained through mRNA-Seq from the same patients we show that the combination of deep sequencing and systems biological modeling can help to identify patient-specific responses to miRNA treatments. We present this data as guideline for future pre-clinical assessments of new and personalized therapeutic options. Overall design: Examination of miRNA expression values by Illumina sequencing of matched benign, tumor and metastasis tissues of 8 colorectal cancer patients. For 4 of these patients all tissues have been resequenced to obtain mRNA expression values.
Publication Title
High-throughput miRNA and mRNA sequencing of paired colorectal normal, tumor and metastasis tissues and bioinformatic modeling of miRNA-1 therapeutic applications.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Mice were immunized with PCC (pigeon cytochrome c).
Publication Title
Lymphoid reservoirs of antigen-specific memory T helper cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 32 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
The effect of benzene exposure on peripheral blood mononuclear cell (PBMC) gene expression was examined in a population of shoe-factory workers with well-characterized occupational exposures to benzene.
Publication Title
Changes in the peripheral blood transcriptome associated with occupational benzene exposure identified by cross-comparison on two microarray platforms.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 144 Downloadable Samples
- Illumina humanRef-8 v2.0 expression beadchip
Description
Human toxicogenomic studies to date have been of limited size, have mainly addressed exposures at the upper end of typical ranges of human exposure, and have often lacked precise, individual estimates of exposure. Previously, we identified genes associated with exposure to high (>10 ppm) levels of the leukemogen, benzene, through transcriptomic analyses of blood cells from small numbers of occupationally exposed workers. Here, we have expanded the study to 125 workers exposed to a wide range of benzene levels, including <1 ppm. Study design, and analysis with a mixed effects model, removed sources of biological and experimental variability and revealed highly significant widespread perturbation of gene expression at all exposure levels. Benzene is an established cause of acute myeloid leukemia (AML), and may cause one or more lymphoid malignancies in humans. Interestingly, acute myeloid leukemia was among the most significant pathways impacted by benzene exposure in the present study. Further, at most exposure levels, immune response pathways including T cell receptor signaling, B cell receptor signaling, and Toll like receptor signaling were impacted, providing support for the biological plausibility of an association between lymphoma and benzene exposure. We also identified a 16-gene expression signature modified by all levels of benzene exposure, comprising genes with roles in immune response, inflammatory response, cell adhesion, cell-matrix adhesion, and blood coagulation. Overall, these findings support, and expand upon, our current understanding of the mechanisms by which benzene may induce hematotoxicity, leukemia and lymphoma. Furthermore, this study shows that with good study design and analysis, transcriptome profiling of the blood of chemically-exposed humans can identify relevant biomarkers across a range of exposures and inform about potential associations with disease risks.
Publication Title
Global gene expression profiling of a population exposed to a range of benzene levels.
Sample Metadata Fields
Sex, Age, Subject
View Samples- Homo sapiens
- 34 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
We used a novel approach to study the acute effect of three physiologic stressors (active contractions, vibration, and systemic heat stress) in human skeletal muscle. Three hours after the completion of a dose of physiologic stress, we sampled the soleus (contraction and vibration) or vastus lateralis (heat) muscle and developed a unique gene expression signature for each stressor. We discovered repetitive active muscle contractions up regulated metabolic transcription factors NR4A3 (12.45 fold change), PGC-1 (5.46 fold change), and ABRA (5.98 fold change); and repressed MSTN (0.56 fold change). Heat stress repressed PGC-1 (0.74 fold change); while vibration induced FOXK2 (2.36 fold change). Vibration similarly caused a down regulation of MSTN (0.74 fold change), but to a lesser extent than active muscle contraction. Vibration induced FOXK2 while heat stress repressed PGC-1 (0.74 fold change) and ANKRD1 genes (0.51 fold change). These findings support a distinct gene regulation in response to heat stress, vibration, and muscle contractions. Understanding these responses may assist in developing regenerative rehabilitation interventions to improve muscle cell development, growth, and repair.
Publication Title
Distinct Skeletal Muscle Gene Regulation from Active Contraction, Passive Vibration, and Whole Body Heat Stress in Humans.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Gene 2.1 ST Array (mogene21st)
Description
PP2A regulates inflammatory cytokine/chemokine gene expression by dephosphorylating protein kinases at multiple signaling pathways from stimulated cells. In this dataset, Affymetrix mouse Gene ST 2.1 Array was used to assay total RNA extracted from LPS-treated PP2AC knockout BMDM (PP2ACfl/fl;lyM-Cre) and the control BMDM (PP2ACfl/fl)
Publication Title
Myeloid-Specific Gene Deletion of Protein Phosphatase 2A Magnifies MyD88- and TRIF-Dependent Inflammation following Endotoxin Challenge.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Chronic hepatitis C virus (HCV) infection is now routinely treated with interferon (IFN)-free regimens composed of directly acting antiviral (DAA) agents. Changes in hepatic and peripheral innate and adaptive immune function during DAA therapy associate with achieving a sustained virologic response (SVR). The present study explored the impact of cirrhosis on host endogenous interferon pathways during DAA therapy. mRNA and micro-RNA (miRNA) expression profiling was performed on paired pre- and end-of-treatment (EOT) liver biopsies from subjects treated with a 2 DAA regimen (sofosbuvir/ledipasvir [SOF/LDV]) for 12 weeks (n=4, 3 with cirrhosis) or a 3 DAA regimen (SOF/LDV with GS-9669 or GS-9451) for 6 weeks (n=6, 0 with cirrhosis). Nine of ten subjects achieved SVR, with one relapse in the GS-9669 treatment arm (ISHAK fibrosis 4). Hepatic interferon-stimulated gene expression was down-regulated in the liver of all subjects, with no observable impact of cirrhosis or duration of treatment. Hepatic down-regulation of all type-III IFNs was observed (IFNL1, IFNL2, IFNL3, IFNL4-G), while IFNA2 expression, undetectable in all subjects pre-treatment, was detected in 3 of 9 subjects at EOT (all 3 achieved SVR). Only the subject who relapsed had detectable IFNL4-G expression in EOT liver. No change in IFNB1, IFNG, or IFNA5 expression was observed, and expression of other type-I IFNs (IFNA1, IFNA4, IFNA5, IFNA6, IFNA8, IFNA16, IFNA17) was not detected pre- or post-treatment. While expression of multiple miRNAs changed in liver tissue over the course of treatment, most miRNAs previously associated with HCV replication, innate interferon signaling, and hepatic fibrosis did not change significantly. Conclusions: Changes in the host IFN-response during DAA therapy associate with favorable treatment outcome regardless of composition and duration of therapy or extent of hepatic fibrosis.
Publication Title
Achieving sustained virologic response after interferon-free hepatitis C virus treatment correlates with hepatic interferon gene expression changes independent of cirrhosis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We present a novel method of using commercial oligonucleotide expression microarrays for aCGH, enabling DNA copy number measurements and expression profiles to be combined using the same platform. This method yields aCGH data from genomic DNA without complexity reduction at a median resolution of approximately 17,500 base pairs. Due to the well-defined nature of oligonucleotide probes, DNA amplification and deletion can be defined at the level of individual genes and can easily be combined with gene expression data.
Publication Title
Gene-resolution analysis of DNA copy number variation using oligonucleotide expression microarrays.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We analyzed transcriptional changes in 4 prostate cancer cell lines following treatment with the BET inhibitor I-BET762 using Affymetrix Human Genome U133 Plus 2.0 Arrays.
Publication Title
Inhibition of BET bromodomain proteins as a therapeutic approach in prostate cancer.
Sample Metadata Fields
Cell line, Time
View Samples