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GSE27692
Homo sapiens
6 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression and copy number variation arrays for parental GTL16 and GTL16 clones resistant to c-Met inhibitor.
Publication Title
A novel SND1-BRAF fusion confers resistance to c-Met inhibitor PF-04217903 in GTL16 cells through [corrected] MAPK activation.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 20 Downloadable Samples
Illumina HiSeq 3000
Description
Purpose: Parturition is delayed by approximately 12 hours in transgenic mice expressing human corticotropin-releasing hormone (CRH) in placenta. The goal of the study was to identify the pathways in reproductive tissues (uterus and placenta) altered by placental expression of human CRH. Methods: Human BAC RP11-366K18 (CHORI) containing human CRH and cis-regulatory region was inserted into the mouse genome by microinjection and random integration to create the BAC1 line. The CRISPR/Cas9 system was used to delete a CRH regulatory element from the BAC1 line to create the CR1 line, eliminating expression of CRH in placenta. Total expression of uterus and placenta by RNA-seq at embryonic day 18.5 were compared between BAC1, CR1, and nontransgenic mice. Results: Genes known to be associated with luteolysis and initiation of parturition (Cav1, Gja1, Oxtr, Ptgs1, Ptgs2) were not differentially expressed in uterus of this model. Conclusions: CRH-mediated delay of parturition is likely independent of luteolysis. Overall design: mRNA-seq was performed on uterus and placenta harvested at embryonic day 18.5 from nontransgenic mice, Tg(BAC1) mice, and Tg(CR1) mice.
Publication Title
Anthropoid primate-specific retroviral element THE1B controls expression of CRH in placenta and alters gestation length.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Lipid Nanoparticle-Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 10 Downloadable Samples
- Illumina HiSeq 2000
Description
To functionally characterize the role of miR-17 family in HCC, lentiviral vector-based miR inhibitor TuD was used to inhibit miR-17 family of microRNAs in HepG2 and SK-Hep1 HCC cell lines Overall design: Methods: HepG2 and SK-Hep1 HCC cell lines were acquired from American Type Culture Collection (ATCC) and miR-17 TuD or NC TuD expressing lines were generated. mRNA profiling of miR-17 TuD or NC TuD expressing samples was performed using Illumina NGS. Total RNA was extracted as per manufacturer’s instructions (RNeasy kit, Qiagen). RNA quality was assessed using BioAnalyzer (Agilent). mRNA expression profiles were determined using next-generation sequencing (NGS) on the Illumina HiSeq 2000 platform producing 50bp paired-end reads. Bowtie/TopHat suites were used to align the reads to mouse genome or transcriptome and RSEM were used to quantify gene abundances. Gene level counts were then normalized with the R/Bioconductor package limma using the voom/variance stabilization method.
Publication Title
Lipid Nanoparticle-Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To functionally characterize the role of miR-17 family in HCC, lentiviral vector-based miR inhibitor TuD was used to inhibit miR-17 family of microRNAs in Hep3B cell line
Publication Title
Lipid Nanoparticle-Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 1 Downloadable Sample
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Although remission rates for metastatic melanoma are generally very poor, some patients can survive for prolonged periods following metastasis. We used gene expression profiling, mitotic index (MI), and quantification of tumor infiltrating leukocytes (TILs) and CD3+ cells in metastatic lesions to search for a molecular basis for this observation and to develop improved methods for predicting patient survival. We identified a group of 266 genes associated with postrecurrence survival. Genes positively associated with survival were predominantly immune response related (e.g., ICOS, CD3d, ZAP70, TRAT1, TARP, GZMK, LCK, CD2, CXCL13, CCL19, CCR7, VCAM1) while genes negatively associated with survival were cell proliferation related (e.g., PDE4D, CDK2, GREF1, NUSAP1, SPC24).
Publication Title
Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Hepatocellular carcinoma (HCC) remains a significant clinical challenge with few therapeutic options available to cancer patients. MicroRNA 21-5p (miR-21) has been shown to be upregulated in HCC, but the contribution of this oncomiR to the maintenance of tumorigenic phenotype in liver cancer remains poorly understood. We have developed potent and specific single-stranded oligonucleotide inhibitors of miR-21 (anti-miRs) and used them to interrogate dependency on miR-21 in a panel of liver cancer cell lines. Treatment with anti-miR-21, but not with a mismatch control anti-miR, resulted in significant de-repression of direct targets of miR-21 and led to loss of viability in the majority of HCC cell lines tested. Robust induction of caspase activity, apoptosis and necrosis was noted in anti-miR-21 treated HCC cells. Furthermore, ablation of miR-21 activity resulted in inhibition of HCC cell migration and suppression of clonogenic growth. To better understand the consequences of miR-21
Publication Title
Anti-miR-21 Suppresses Hepatocellular Carcinoma Growth via Broad Transcriptional Network Deregulation.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Diabetic embryopathy can affect any developing organ system, although cardiovascular malformations, neural tube defects and caudal dysgenesis syndrome are the most prominent congenital malformations. We hypothesize that the metabolic imbalance occurring in diabetic pregnancy de-regulates tissue specific gene expression programs in the developing embryo. In order to identify genes whose expression is affected by maternal diabetes, we analyzed gene expression profiles of diabetes-exposed mouse embryos by using Affymetrix microarrays. We identified 129 genes with altered expression levels; 21 genes had increased and 108 genes had decreased expression levels in diabetes-exposed embryos relative to controls. A substantial fraction of these genes (35) are essential for normal embryonic development as shown by functional studies in mouse models. The largest fraction of diabetes-affected genes was in transcription factor and DNA-binding/chromatin remodeling functional categories (19%), which directly affect transcription. These findings suggest that transcriptional regulation in the developing embryos is perturbed by maternal diabetes and that transcriptional regulation plays a major role in the responses of embryos to intrauterine exposure to diabetic conditions. Interestingly, we found the expression of hypoxia-inducible factor 1 (Hif1) deregulated in the embryos exposed to the conditions of maternal diabetes. Since hypoxic stress is associated with the complications of diabetic pregnancy, we performed a post-hoc analysis of our microarray data with a specific focus on known HIF1 target genes. Of 39 genes detected in our microarrays, the expression changes of 22 genes (20 were increased and two genes were decreased in diabetes-exposed embryos) were statistically significant. These results indicate that HIF1-regulated pathways are affected in diabetes-exposed embryos. These results strongly suggest that de-regulation of hypoxia/HIF1 activated pathways could be the one of the key molecular events associated with the exposure to the teratogenic intrauterine environment of a diabetic mother.
Publication Title
Maternal diabetes alters transcriptional programs in the developing embryo.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Exposure to maternal diabetes during pregnancy alters transcriptional profiles in the developing embryo. The enrichment, within the set of de-regulated genes, of those encoding transcriptional regulatory molecules provides support for the hypothesis that maternal diabetes affects specific developmental programs.
Publication Title
Maternal diabetes alters transcriptional programs in the developing embryo.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The growth in popularity of RNA expression microarrays has been accompanied by concerns about the reliability of the data especially when comparing between different platforms. Here we present an evaluation of the reproducibility of microarray results using two platforms, Affymetrix GeneChips and Illumina BeadArrays. The study design is based on a dilution series of two human tissues (blood and placenta), tested in duplicate on each platform. By a variety of measures the two platforms yielded data of similar quality and properties. The results of a comparison between the platforms indicate very high agreement, particularly for genes which are predicted to be differentially expressed between the two tissues. Agreement was strongly correlated with the level of expression of a gene. Concordance was also improved when probes on the two platforms could be identified as being likely to target the same set of transcripts of a given gene. These results shed light on the causes or failures of agreement across microarray platforms. The set of probes we found to be most highly reproducible can be used by others to help increase confidence in analyses of other data sets using these platforms.
Publication Title
Experimental comparison and cross-validation of the Affymetrix and Illumina gene expression analysis platforms.
Sample Metadata Fields
No sample metadata fields
View Samples