Estrogen receptor alpha (ESR1) mutations have been identified in hormone therapy resistant breast cancer and primary endometrial cancer. Analyses in breast cancer suggests that mutant ESR1 exhibits estrogen independent activity. In endometrial cancer, ESR1 mutations are associated with worse outcomes and less obesity, however experimental investigation of these mutations has not been performed. Using a unique CRISPR/Cas9 strategy, we introduced the D538G mutation, a common endometrial cancer mutation that alters the ligand binding domain of ESR1, while epitope tagging the endogenous locus. We discovered estrogen-independent mutant ESR1 genomic binding that is significantly altered from wildtype ESR1. The D538G mutation impacted expression, including a large set of non-estrogen regulated genes, and chromatin accessibility, with most affected loci bound by mutant ESR1. Mutant ESR1 is unique from constitutive ESR1 activity as mutant-specific changes are not recapitulated with prolonged estrogen exposure. Overall, D538G mutant ESR1 confers estrogen-independent activity while causing additional regulatory changes in endometrial cancer cells that are distinct from breast cancer cells. Overall design: RNA-seq was used to study the effects of the D538G mutation on gene expression
Estrogen-independent molecular actions of mutant estrogen receptor 1 in endometrial cancer.
Cell line, Treatment, Subject, Time
View SamplesWe report the transcriptome changes that result of the genomic deletion of one or two alleles of an islet-specific long non-coding RNA (Blinc1) in isolated pancreas from e15.5 mouse embryos. Overall design: Pancreas from e15.5 embryos were dissected and total RNA extracted. Libraries were prepared from total RNA (RIN>8) with the TruSeq RNA prep kit (Illumina) and sequenced using the HiSeq2000 (Illumina) instrument. More than 20 million reads were mapped to the mouse genome (UCSC/mm9) using Tophat (version 2.0.4) with 4 mismatches and 10 maximum multiple hits. Significantly differentially expressed genes were calculated using DEseq.
βlinc1 encodes a long noncoding RNA that regulates islet β-cell formation and function.
Specimen part, Subject
View SamplesBackground: Whole transcriptome sequencing (RNA-seq) represents a powerful approach for whole transcriptome gene expression analysis. However, RNA-seq carries a few limitations, e.g., the requirement of a significant amount of input RNA and complications led by non-specific mapping of short reads. The Ion AmpliSeqTM Transcriptome Human Gene Expression Kit (AmpliSeq) was recently introduced by Life Technologies as a whole-transcriptome, targeted gene quantification kit to overcome these limitations of RNA-seq.To assess the performance of this new methodology, we performed a comprehensive comparison of AmpliSeq with RNA-seq using two well-established next-generation sequencing platforms (Illumina HiSeq and Ion Torrent Proton). We analyzed standard reference RNA samples and RNA samples obtained from human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs). Results: Using published data from two standard RNA reference samples, we observed a strong concordance of log2 fold change for all genes when comparing AmpliSeq to Illumina HiSeq (Pearson’s r=0.92) and Ion Torrent Proton (Pearson’s r=0.92). We used ROC, Matthew’s correlation coefficient and RMSD to determine the overall performance characteristics. All three statistical methods demonstrate AmpliSeq as a highly accurate method for differential gene expression analysis. Additionally, for genes with high abundance, AmpliSeq outperforms the two RNA-seq methods. When analyzing four closely related hiPSC-CM lines, we show that both AmpliSeq and RNA-seq capture similar global gene expression patterns consistent with known sources of variations. Conclusions: Our study indicates that AmpliSeq excels in the limiting areas of RNA-seq for gene expression quantification analysis. Thus, AmpliSeq stands as a very sensitive and cost-effective approach for very large scale gene expression analysis and mRNA marker screening with high accuracy. Overall design: Comprehensive, performance evaluation of AmpliSeq Transcriptome to standard whole-transcriptome RNA-sequencing methods for large-scale, genome-wide differential gene expression analysis. We analyzed standard reference RNA samples and RNA samples obtained from human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs).
Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Early B cell factor 1 regulates adipocyte morphology and lipolysis in white adipose tissue.
Specimen part
View SamplesTo investgate the role of EBF1 in human adipocyte, we performed global expression profiling in human adipocytes transfected with siRNA targeting EBF1.
Early B cell factor 1 regulates adipocyte morphology and lipolysis in white adipose tissue.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
RNA expression profiling of human iPSC-derived cardiomyocytes in a cardiac hypertrophy model.
Specimen part
View SamplesCardiac hypertrophy is an independent risk factor for cardiovascular disease and heart failure. There is increasing evidence that microRNAs (miRNAs) play an important role in the regulation of messenger RNA (mRNA) and the pathogenesis of various cardiovascular diseases. However, the ability to comprehensively study cardiac hypertrophy on a gene regulatory level is impacted by the limited availability of human cardiomyocytes. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer the opportunity for disease modeling.
RNA expression profiling of human iPSC-derived cardiomyocytes in a cardiac hypertrophy model.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Adipose tissue microRNAs as regulators of CCL2 production in human obesity.
Sex, Age, Specimen part, Subject
View SamplesWe used an unbiased systems biology approach to study the regulation of gene expression in human adipose tissue focusing on inflammation. We show that microRNAs play a major role as regulators of CCL2 production in obesity.
Adipose tissue microRNAs as regulators of CCL2 production in human obesity.
Age, Specimen part
View SamplesWe used an unbiased systems biology approach to study the regulation of gene expression in human adipose tissue focusing on inflammation. We show that microRNAs play a major role as regulators of CCL2 production in obesity.
Adipose tissue microRNAs as regulators of CCL2 production in human obesity.
Sex, Age, Specimen part, Subject
View Samples