Activating mutations of FGFR3 are found in a high proportion of bladder tumours. The molecular consequences of FGFR3 mutation in urothelial cells and the mechanisms by which mutant FGFR3 may drive bladder tumourigenesis are largely unknown.
Alteration of cell-cell and cell-matrix adhesion in urothelial cells: an oncogenic mechanism for mutant FGFR3.
Specimen part
View SamplesSheep scrapie (Sc) is the classical transmissible spongiform encephalopathy (prion disease). The conversion of normal cellular prion protein (PrPC) to disease-associated prion protein (PrPSc) is a fundamental component of prion disease pathogenesis. The molecular mechanisms contributing to prion diseases and the impact of PrPSc accumulation on cellular biology are not fully understood. To define the molecular changes associated with PrPSc accumulation, primary sheep microglia were inoculated with PrPSc and then the transcriptional profile of these PrPSc-accumulating microglial cells was compared to the profile of PrPSc-lacking microglial cells using the Affymetrix Bovine Genome Array. The experimental design included three biological replicates, each with three technical replicates, and samples that were collected at the point of maximal PrPSc accumulation levels as measured by ELISA. The array analysis revealed 19 upregulated genes and 30 downregulated genes in PrPSc-accumulating microglia. Three transcripts (CCL2, SGK1, and AASDHPPT) were differentially regulated in a direction similar to previous reports from mouse or human models, whereas the response of three other transcripts (MT1E, NR4A1, PKP2) conflicted with previous reports. Overall, the results demonstrated a limited transcriptional response to PrPSc accumulation, when compared to microglia and macrophage cultures infected with other agents such as viruses and bacteria. This is the first microarray-based analysis of prion accumulation in primary cells derived from a natural TSE-host.
Limited transcriptional response of ovine microglia to prion accumulation.
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View SamplesWe generated gene expression profiles of 5 time points in murine lung development (E11.5, E13.5, E14.5, E16.5 and P5). The goal of this study was to establish a reference data set for exploration of large-scale similarities between transcriptomes in development and cancer.
Analysis of gene expression in a developmental context emphasizes distinct biological leitmotifs in human cancers.
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View SamplesNoncoding variants play a central role in the genetics of complex traits, but we still lack a full description of the main molecular pathways through which they act. Here we used molecular data to quantify the contribution of cis-acting genetic effects at each major stage of gene regulation from chromatin to proteins, within a population sample of Yoruba lymphoblastoid cell lines (LCLs). We performed 4sU metabolic labeled transcripts in 65 YRI LCLs to identify genetic variants that affect transcription rates. As expected, we found an important contribution of genetic variation via chromatin, contributing ~65% of eQTLs (expression Quantitative Trait Loci). The remaining eQTLs, which are not asso- ciated with chromatin-level variation, are highly enriched in transcribed regions, and hence may affect expression through co- or post-transcriptional processes. Overall design: International HapMap lymphoblastoid cell lines (LCLs) derived from YRI (Yoruba in Ibadan, Nigeria); We adapted the 4sU labelling method from (PMID 21516085). Briefly, cell cultures were grown to log phase in volumes sufficient to yield about 300 ng of 4sU-labeled RNA. Cells were incubated with 4sU for the required length of time (0, 30, or 60 minutes), then washed, pelleted, and frozen. Total RNA was extracted, and 4sU-labeled RNA was separated from total RNA using a bead-based biotin-streptavidin purification protocol. We sequenced metabolic labeled transcripts in 65 YRI LCLs 30 minutes and 60 minutes after incubation.
RNA splicing is a primary link between genetic variation and disease.
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View SamplesEts homologous factor (EHF) is an Ets family transcription factor expressed in many epithelial cell types including those lining the respiratory system. Disruption of the airway epithelium is central to many lung diseases, and a network of transcription factors coordinates its normal function. EHF can act as a transcriptional activator or a repressor, though its targets in lung epithelial cells are largely uncharacterized. RNA-seq after EHF depletion or overexpression showed significant alterations in the expression of genes involved in response to wounding. EHF knockdown also targeted genes in pathways of epithelial development and differentiation and locomotory behavior. Overall design: mRNA profiles from Calu-3 cells treated with negative control (NC) or EHF siRNA, in quintuplicate. mRNA profiles from 3 pcDNA (empty vector control) clones and 3 pcDNA-EHF overexpression A549 clones, 3-4 replicates each.
Ets homologous factor regulates pathways controlling response to injury in airway epithelial cells.
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View SamplesThe aim of this experiment was to get a comparison of the signatures between a non-transformed cell (NIH3T3 + vector) and a transformed cell (NIH3T3 + Fbxo7). NIH3T3 cells become transformed after the stable integration of the Fbxo7 gene. Fbxo7 potentiates cyclin D/cdk6 activity.
Transforming activity of Fbxo7 is mediated specifically through regulation of cyclin D/cdk6.
Cell line
View SamplesDoxorubicin (Adriamycin) is an anthracycline chemotherapy agent effective in treating a wide range of malignancies1 with a well-established dose-response cardiotoxic side-effect that can lead to heart failure2-4. Even at relatively low cumulative doses of 200–250 mg/m2, the risk of cardiotoxicity is estimated at 7.8% to 8.8%4,5. Doxorubicin-induced cardiotoxicity (DIC) can range from asymptomatic reductions in left ventricular ejection fraction (LVEF) to highly symptomatic heart failure6,7. At present, it is not possible to predict which patients will be affected by DIC or adequately protect patients who are at risk for suffering this devastating side-effect8. Here we demonstrate that patient-specific human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) can recapitulate individual patients’ predilection to DIC at the single cell level. hiPSC-CMs derived from breast cancer patients who suffered clinical DIC are consistently more sensitive to doxorubicin toxicity, demonstrating decreased cell viability, mitochondrial/metabolic function, calcium handling, and antioxidant pathway gene expression, along with increased reactive oxygen species (ROS) production compared to hiPSC-CMs from patients who did not experience DIC. Together, our data indicate that hiPSC-CMs are a suitable platform for identifying and verifying the genetic basis and molecular mechanisms of DIC. Overall design: Comparision of the effect of 1uM doxorubicin for 24 h on gene expression in hiPSC-CM derived from 6 patients
Human induced pluripotent stem cell-derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity.
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View SamplesMicroarray data on H9 hESC-derived cardiomyocytes (d30) treated with 0, 0.1, 1, or 10 uM of doxorubicin for 24 h
Human induced pluripotent stem cell-derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity.
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View SamplesFifty six genes from DESeq were differentially expressed in the treated versus control samples. More than 20% were related to immune, defense, wounding and inflammatory responses Overall design: Downregulation of REST-003 using siRNAs in MDA-MB-231 cells; we used siRNA against REST-003, as REST-003 may control invasiveness. We transfected si-Control (scramble) or si-REST-003 in MDA-MB-231: duplicate of both (total 4 samples).
Non-coding RNAs derived from an alternatively spliced REST transcript (REST-003) regulate breast cancer invasiveness.
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View SamplesExpression data derived from this analysis was used to compare expression signatures between genomic subgroups identified from DNA copy number analysis.
Genomic Subtypes of Non-invasive Bladder Cancer with Distinct Metabolic Profile and Female Gender Bias in KDM6A Mutation Frequency.
Sex, Age
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