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SRP080114
Homo sapiens
174 Downloadable Samples
AB SOLiD System 3.0, Illumina HiSeq 2000
Description
Use traditional whole transcriptome profiling, and single cell whole transcriptome profiling to understand human pre-implantation development, undifferentiated human embryonic stem cells and differentiated human embryonic stem cells.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Cell line, Treatment
View Samples- Mus musculus
- 15 Downloadable Samples
Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
Identification of a type I insulin like growth factor receptor regulated gene expression profile associated with an altered site-specificity of metastasis.
Publication Title
No associated publication
Sample Metadata Fields
Disease, Cell line
View Samples- Homo sapiens
- 46 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Comparison of miRNA expression profiles in malignant germ cell tumors compared to non-malignant control group.
Publication Title
Malignant germ cell tumors display common microRNA profiles resulting in global changes in expression of messenger RNA targets.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Microarray was used to identify differential gene expression pattern in Barrett's esophagus (BE), compared to the normal adjacent epithelia gastric cardia (GC) and normal squamous esophagus (NE)
Publication Title
Evidence for a functional role of epigenetically regulated midcluster HOXB genes in the development of Barrett esophagus.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Although gain of chromosome-5p is one of the most frequent DNA copy number imbalances in cervical squamous cell carcinoma (SCC), the genes that drive its selection remain poorly understood. In a previous cross-sectional clinical study we showed that the microRNA processor Drosha (located on chromosome-5p) demonstrates frequent copy-number gain and over-expression in cervical SCC, associated with altered microRNA profiles. Here, we have conducted gene depletion/over-expression experiments to demonstrate the functional significance of up-regulated Drosha in cervical SCC cells. Drosha depletion by RNA-interference (RNAi) produced significant, specific reductions in cell motility/invasiveness in vitro, with a silent RNAi-resistant Drosha mutation providing phenotype rescue. Unsupervised hierarchical clustering following global profiling of 319 microRNAs in eighteen cervical SCC cell line specimens generated two groups according to Drosha expression levels. Altering Drosha levels in individual SCC lines changed the group into which the cells clustered, with gene depletion effects being rescued by the RNAi-resistant mutation. Forty-five microRNAs showed significant differential expression between the groups, including four of fourteen that were differentially-expressed in association with Drosha levels in clinical samples. miR-31 up-regulation in Drosha over-expressing samples/cell lines was the highest-ranked change (by adjusted p-value) in both analyses, an observation validated by Northern blotting. These functional data support the role of Drosha as an oncogene in cervical SCC, by affecting expression of cancer-associated microRNAs that have the potential to regulate numerous protein-coding genes.
Publication Title
Functional evidence that Drosha overexpression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles.
Sample Metadata Fields
Sex, Cell line
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Comparison of mRNA expression profiles in W12 Series 1 cervical ectokeratinocytes at passage number 22 versus 19 (during which time the cells gain an invasive phenotype)
Publication Title
Functional evidence that Drosha overexpression in cervical squamous cell carcinoma affects cell phenotype and microRNA profiles.
Sample Metadata Fields
Sex, Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
Messenger (m)RNA export from the nucleus is essential for eukaryotic gene expression. Here, we identify a transcript-selective nuclear export mechanism affecting certain human transcripts, enriched for functions in genome duplication and repair, controlled by inositol polyphosphate multikinase (IPMK), an enzyme catalyzing inositol polyphosphate and phosphoinositide turnover. We studied transcripts encoding RAD51, a protein essential for DNA repair by homologous recombination (HR), to characterize the mechanism underlying IPMK-regulated mRNA export. IPMK depletion or catalytic inactivation selectively decreases the nuclear export of RAD51 mRNA, and RAD51 protein abundance, thereby impairing HR. Recognition of a sequence motif in the untranslated region of RAD51 transcripts by the mRNA export factor ALY requires IPMK. Phosphatidylinositol (3,4,5)-trisphosphate (PIP3), an IPMK product, restores ALY recognition in IPMK-depleted cell extracts, suggesting a mechanism underlying transcript selection. Our findings implicate IPMK in a transcript-selective mRNA export pathway controlled by phosphoinositide turnover that preserves genome integrity in humans.
Publication Title
Human inositol polyphosphate multikinase regulates transcript-selective nuclear mRNA export to preserve genome integrity.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 32 Downloadable Samples
- IlluminaHiSeq2500
Description
Metformin and aspirin have been studied extensively as cancer preventative and therapeutic agents. However, the underlying molecular mechanisms for the inhibitory effects of pancreatic cancer development remain largely unknown. To gain further insight into their biological function in pancreatic cancer, we conducted a transcriptomic analysis using high throughput RNA sequencing to assess the differential gene expression induced by metformin (5 mM) and aspirin (2 mM), alone or in combination, after treatment of PANC-1 cells for 48 hours. Compared to untreated control, metformin alone down-regulated 58 genes, and up-regulated 91 genes, aspirin alone down-regulated 12 genes only, while the combination of metformin and aspirin down-regulated 656 genes, and down-regulated 449 genes (fold-change > 2, P value < 10-5). Of the top 10 genes (fold-change > 10, P value < 10-10) regulated by the combination of metformin and aspirin, PCDH18, CCL2, RASL11A, FAM111B, and BMP5, were down-regulated more than 20-fold, while NGFR, NPTX1, C7orf57, MRPL23AS1 and UNC5B were up-regulated more than 10-fold. The ingenuity pathway analysis (IPA) was applied to explore the top signaling pathways regulated by metformin and aspirin. The top canonical pathways, “cholesterol biosynthesis”, “cell cycle: G1/S checkpoint regulation”, and “axonal guidance signaling” were the most statistical significant pathways that were modulated by the combination of metformin and aspirin. Although the results need further functional validation, these data provide, for the first time, a transcriptional profile of pancreatic cancer cells in response to metformin and aspirin.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 22 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Expression data of BL2 Burkitt Lymphoma cell line (controls and samples treated with different B cell specific stimuli)
Publication Title
Global gene expression changes of in vitro stimulated human transformed germinal centre B cells as surrogate for oncogenic pathway activation in individual aggressive B cell lymphomas.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Zea mays
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA-seq data of maize three root types (primary, seminal and crown roots)early in development
Publication Title
No associated publication
Sample Metadata Fields
Age, Specimen part, Disease, Treatment
View Samples