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GSE53418
Homo sapiens
31 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Epithelial ovarian cancer is a very heterogeneous disease and remains the most lethal gynaecological malignancy in the Western world. Rational therapeutic approaches need to account for interpatient and intratumoral heterogeneity in treatment design. Detailed characterization of in vitro models representing the different histological and molecular subtypes is therefore imperative. Strikingly, from ~100 available ovarian cancer cell lines the origin and which subtype they represent is largely unknown. We have extensively and uniformly characterized 39 ovarian cancer cell lines (with mRNA/microRNA expression, exon sequencing, dose response curves for clinically relevant therapeutics) and obtained all available information on the clinical features and tissue of origin of the original ovarian cancer to refine the putative histological subtypes. From 39 ovarian cell lines, 14 were assigned as high-grade serous, four serous-type, one low-grade serous and 20 non-serous type. Three morphological subtypes (21 Epithelial, 7 Round, 12 Spindle) were identified that showed distinct biological and molecular characteristics, including overexpression of cell movement and migration-associated genes for the Spindle subtype. Clinical validation showed a clear association of the spindle-like tumors with metastasis, advanced stage, suboptimal debulking and poor prognosis. In addition, the morphological subtypes associated with the molecular C1-6 subtypes identified by Tothill et al. [1], Spindle clustered with C1-stromal subtype, Round with C5-mesenchymal and Epithelial with C4 subtype. We provide a uniformly generated data resource for 39 ovarian cancer cell lines, the ovarian cancer cell line panel (OCCP). This should be the basis for selecting models to develop subtype specific treatment approaches, which is very much needed to prolong the survival of ovarian cancer patients.
Publication Title
Ovarian cancer cell line panel (OCCP): clinical importance of in vitro morphological subtypes.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 69 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
All patients with suspected ovarian cancer (Raised CA 125 and a complex pelvic mass in a perimenopausal woman) were radiologically staged using CT scan and a chest x-ray. Patients with evidence of intra-abdominal metastasis and/or malignant pleural effusion were approached for entry to the study. Tissue biopsy was obtained either under radiological control (core needle biopsy) or via laparoscopic surgery (punch biopsy). Patients with histologicaly confirmed epithelial ovarian cancer were randomized to receive either three cycles of carboplatin (AUC 7) or paclitaxel (175 mg/m2).
Publication Title
The extracellular matrix protein TGFBI induces microtubule stabilization and sensitizes ovarian cancers to paclitaxel.
Sample Metadata Fields
Treatment
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
All patients with suspected ovarian cancer (Raised CA 125 and a complex pelvic mass in a perimenopausal woman) were radiologically staged using CT scan and a chest x-ray. Patients with evidence of intra-abdominal metastasis and/or malignant pleural effusion were approached for entry to the study. Tissue biopsy was obtained either under radiological control (core needle biopsy) or via laparoscopic surgery (punch biopsy). Patients with histologicaly confirmed epithelial ovarian cancer were randomized to receive either three cycles of carboplatin (AUC 7) or paclitaxel (175 mg/m2).
Publication Title
The extracellular matrix protein TGFBI induces microtubule stabilization and sensitizes ovarian cancers to paclitaxel.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 70 Downloadable Samples
Illumina Genome Analyzer IIx
Description
We compared four transcription factor knockdowns using transgenic RNAi expressed in the larval fat body. FOXO, Tfb1, p53, and Stat92E-dependent gene expression in the Drosophila fat body was quantified on control and high-sugar diets in order to generate expression profiles via RNA-seq. These expression data were used to build a gene regulatory network to predict novel roles for these and other genes during caloric overload. Overall design: Control and fat body-expressed transcription factor RNAi Drosophila were reared on control (0.15M sucrose) and high-sugar (0.7M or 1M sucrose) diets until the wandering stage. Fat bodies were isolated and RNA extracted to determine the effects of diet on gene expression using Illumina RNA-seq.
Publication Title
Seven-Up Is a Novel Regulator of Insulin Signaling.
Sample Metadata Fields
Sex, Specimen part, Treatment, Subject
View Samples- Drosophila melanogaster
- 17 Downloadable Samples
- Illumina Genome Analyzer IIx, Illumina HiSeq 2000
Description
Chronic high sugar feeding induces obesity, hyperglycemia, and insulin resistance in flies and mammals. These phenotypes are controlled by the fat body, a liver- and adipose- like tissue in Drosophila flies. To gain insight into the mechanisms underlying the connection between diet and insulin sensitivity, we used Illumina RNA-seq to profile gene expression in fat bodies isolated from chronically high sugar fed, wandering (post-prandial) third instar wild type larvae w(L3). These data were compared to control-fed wild-type wL3 fat bodies as well as those expressing transgenic interfering RNA (i) targeting CG18362 (Mio/dChREBP) in the fat body on both diets. Overall design: Female VDRC w1118, cgGAL4, UAS-Dcr2 or UAS-ChREBPi(52606), cgGAL4, UAS-Dcr2 wandering third instar larvae were fed control (0.15M) or high (0.7M) sucrose and fat bodies isolated for RNA extraction.
Publication Title
Seven-Up Is a Novel Regulator of Insulin Signaling.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Drosophila melanogaster
- 12 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
We compared ecdysone receptor (EcR)-dependent gene expression in the Drosophila fat body on 0.15 M sucrose and 0.5 M sucrose high-sugar diets in order to gain insight into the role of this gene during caloric overload. Phenotypic analyses showed an increased severity of EcR RNAi phenotypes with increasing dietary sugar concentration. Because EcR is a transcription factor, we performed RNA-seq studies to identify transcriptional targets that might underlie insulin resistance downstream of EcR RNAi. Overall design: Control and fat body-expressed EcR RNAi Drosophila were reared on control (0.15 M sucrose) and high-sugar (0.5 M sucrose) diets until the wandering stage. Fat bodies were isolated and RNA extracted to determine the effects of diet on gene expression using Illumina RNA-seq.
Publication Title
Seven-Up Is a Novel Regulator of Insulin Signaling.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Drosophila melanogaster
- 12 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
We compared Seven-up-dependent gene expression in the Drosophila fat body on control and high-sugar diets in order to gain insight into the role of this gene during caloric overload. Phenotypic analyses showed an increased severity of Seven-up RNAi phenotypes with increasing dietary sugar concentration. Because Seven-up is a transcription factor, we performed RNA-seq studies to identify transcriptional targets that might underlie insulin resistance downstream of Seven-up RNAi. Our data support a model where Seven-up promotes insulin signaling by inhibiting ecdysone receptor target gene expression. Overall design: Control and fat body-expressed Seven-up RNAi Drosophila were reared on control (0.15M sucrose) and high-sugar (0.7M sucrose) diets until the wandering stage. Fat bodies were isolated and RNA extracted to determine the effects of diet on gene expression using Illumina RNA-seq.
Publication Title
Seven-Up Is a Novel Regulator of Insulin Signaling.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Saccharomyces cerevisiae
- 83 Downloadable Samples
- Illumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx
Description
Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.
Publication Title
Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.
Sample Metadata Fields
Subject
View Samples- Arabidopsis thaliana
- 6 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Gold is widely considered to be a biologically inert element; however, it can elicit a profound biological response in plants. Plants can be exposed to significant levels of this precious metal in the environment from naturally occurring sources, as the result of mining activities or more recently resulting from the escalating use of nanoparticles in industry. In this microarray study we have investigated the gene expression response of Arabidopsis thaliana (Arabidopsis) to gold. Although the uptake of metal cations by plant transporters is well characterised, little is known about the uptake of gold, which exists in soil predominantly in a zero-valent state (Au0). We used this study to monitor the expression of candidate genes involved in metal uptake and transport. These show the down-regulation of a discreet number of genes known to be involved in the transport of copper, cadmium, nickel and iron.
Publication Title
Arabidopsis Glutathione Transferases U24 and U25 Exhibit a Range of Detoxification Activities with the Environmental Pollutant and Explosive, 2,4,6-Trinitrotoluene.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 2 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Adipose tissue iNKT cells have different functions than iNKT cells in the blood and other organs.
Publication Title
Regulatory iNKT cells lack expression of the transcription factor PLZF and control the homeostasis of T(reg) cells and macrophages in adipose tissue.
Sample Metadata Fields
Age, Specimen part
View Samples