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Bos taurus
23 Downloadable Samples
Affymetrix Bovine Genome Array (bovine)
Description
This study provides the first comprehensive analysis of gene expression and transcriptome dynamics of bovine metaphase II oocytes and in vivo developing bovine embryos.
Publication Title
Genome-wide expression profiling reveals distinct clusters of transcriptional regulation during bovine preimplantation development in vivo.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 2 Downloadable Samples
- Illumina HumanRef-8 v3.0 expression beadchip
Description
Gene expression analyis of two hESCs, two human neonatal fibroblasts, and four human iPSCs generated with retroviral transduction using the OSKM cocktail.
Publication Title
Human induced pluripotent stem cells harbor homoplasmic and heteroplasmic mitochondrial DNA mutations while maintaining human embryonic stem cell-like metabolic reprogramming.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 4 Downloadable Samples
Description
To identify genes regulated by BRD4 and to provide insight into new mechanisms de-regulated by BRD4, such as the response to oxidative stress, we integrated BRD4-binding regions with BRD4 gene expression data. For this analysis we performed BRD4 chromatin immunoprecipitation experiments and BRD4 knock down experiments followed by RNA-Seq analyses. By integration of both gene lists we identified top candidate genes regulated by BRD4. Overall design: HEK cells have been investigated for genomewide BRD4 binding sites and expression changes after knock down of BRD4. Illumina sequencing was used to gather data of the type ChIP Seq and mRNA Seq.
Publication Title
The bromodomain protein BRD4 regulates the KEAP1/NRF2-dependent oxidative stress response.
Sample Metadata Fields
No sample metadata fields
View Samples
GSE28053- Homo sapiens
- 25 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The BTB and CNC homology 1 (BACH1) target genes are involved in the oxidative stress response and in control of the cell cycle.
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 25 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
BTB and CNC homology 1 (BACH1) is a heme-binding transcription factor repressing the transcription from a subset of MAF recognition elements (MAREs) at low intracellular heme levels. Upon heme binding, BACH1 is released from the MAREs, resulting in increased expression of antioxidant response genes. To systematically address the gene regulatory networks involving BACH1, we performed knock-down of BACH1 in HEK 293T cells using three independent types of small interfering RNAs followed by transcriptome profiling using microarrays.
Publication Title
The BTB and CNC homology 1 (BACH1) target genes are involved in the oxidative stress response and in control of the cell cycle.
Sample Metadata Fields
Cell line, Time
View Samples- Homo sapiens
- 8 Downloadable Samples
- Illumina Genome Analyzer, Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.
Sample Metadata Fields
Cell line, Compound, Time
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Whole-genome transcriptome measurements are pivotal for characterizing carcinogenic mechanisms of chemicals and predicting toxic classes, such as genotoxicity, from in vitro and in vivo assays. DNA microarrays have evolved as the gold standard for this purpose. In recent years deep sequencing technologies have been developed that hold the promise of measuring the transcriptome with RNA-seq in a more accurate and unbiased manner than microarrays. So far, however, few applications have been published that assess the performance of RNA-seq within a toxicogenomics context. Here, we applied RNA-seq for the characterization of the in vitro transcriptomic responses in HepG2 cells upon exposure to benzo[a]pyrene (BaP), a well-known DNA damaging carcinogen. We demonstrate the performance of RNA-seq with respect to the identification of differentially expressed genes and associated pathways, in comparison with microarray technology. RNA-seq data generates more complete and thus accurate data on differentially expressed genes and affected pathways than microarrays. Additionally, we highlight the potential of RNA-seq for characterizing mechanisms related to alternative splicing and thereby gathering new information. Exposure to BaP alters the isoform distribution for many genes, including regulators of cell death and DNA repair such as TP53, BCL2 and XPA, which are relevant for genotoxic responses. Finally, we demonstrate that RNA-seq enables to investigate allele-specific gene expression, although no changes for that could be observed. Our results provide evidence that RNA-seq is a powerful tool for toxicology which, compared to microarrays, is capable of adding valuable information at the transcriptome level for characterizing toxic effects caused by chemicals.
Publication Title
RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.
Sample Metadata Fields
Cell line, Compound, Time
View Samples- Mus musculus
- 53 Downloadable Samples
- Illumina HiSeq 2000
Description
A central challenge in pharmaceutical research is to investigate genetic variation in response to drugs. The Collaborative Cross (CC) mouse reference population is a promising model for pharmacogenomic studies because of its large amount of genetic variation, genetic reproducibility, and dense recombination sites. While the CC lines are phenotypically diverse, their genetic diversity in drug disposition processes, such as detoxification reactions, is still largely uncharacterized. Here we systematically measured RNA-sequencing expression profiles from livers of 29 CC lines under baseline conditions. We then leveraged a reference collection of metabolic biotransformation pathways to map potential relations between drugs and their underlying expression quantitative trait loci (eQTLs). By applying this approach on proximal eQTLs, including eQTLs acting on the overall expression of genes and on the expression of particular transcript isoforms, we were able to construct the organization of hepatic eQTL-drug connectivity across the CC population. The analysis revealed a substantial impact of genetic variation acting on drug biotransformation, allowed mapping of potential joint genetic effects in the context of individual drugs, and demonstrated crosstalk between drug metabolism and lipid metabolism. Our findings provide a resource for investigating drug disposition in the CC strains, and offer a new paradigm for integrating biotransformation reactions to corresponding variations in DNA sequences. Overall design: This dataset includes RNA-Seq data of mRNA that were extracted from the liver of 55 male mice. The 55 mice belong to 29 different collaborative cross strains. The number of individual mice per strains is 3 for 3 strains, 2 for 16 strains, and 1 for 8 strains. All the mice are naïve without any special treatment.
Publication Title
Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 1 Downloadable Sample
- Illumina humanRef-8 v2.0 expression beadchip
Description
Transcriptome of HEK and B cells were analyzed by microarray and RNA-Seq parallely. Both platforms were then compared in terms of sensitivity. To assess whether values were a reliable indicator of gene activity, we correlated these values with hypophosphorylated RNA polymerase II (PolIIa) occupancy, used as a landmark of transcription initiation. For HEK, we identified PolIIa islands by chromatin immunoprecipitation and sequencing (ChIP-Seq).
Publication Title
A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome.
Sample Metadata Fields
No sample metadata fields
View Samples GSE1919- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Genome U95A Array (hgu95a)
Description
Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors.
Publication Title
Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritis.
Sample Metadata Fields
Sex, Age
View Samples