Background: 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.
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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
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A comprehensive analysis of adiponectin QTLs using SNP association, SNP cis-effects on peripheral blood gene expression and gene expression correlation identified novel metabolic syndrome (MetS) genes with potential role in carcinogenesis and systemic inflammation.
Sex, Age, Race
View SamplesInduced Treg (iTreg) cells are essential for tolerance and can be used therapeutically, yet their stability in vivo and mechanisms of suppression are unresolved. Here, we used a treatment model of colitis to examine the role of autologous IL-10 in iTreg cell function. Mice treated with IL-10+/+ iTreg cells in combination with IL-10/ natural Treg (nTreg) cells survived and gained weight, even though iTreg cells were numerically disadvantaged and comprised just ~20% of all Treg cells in treated mice. Notably, ~85% of the transferred iTreg cells lost Foxp3 expression (ex-iTreg) but retained a portion of the iTreg transcriptome which failed to limit their pathogenic potential. The TCR repertoires of iTreg and ex-iTreg cells exhibited almost no overlap, which indicates that the two populations are clonally unrelated and maintained by different selective pressures. These data demonstrate a potent and critical role for iTreg cell produced IL-10 that can supplant the IL-10 produced by nTreg cells and compensate for the inherent instability of the iTreg population.
IL-10 produced by induced regulatory T cells (iTregs) controls colitis and pathogenic ex-iTregs during immunotherapy.
Treatment
View SamplesPancreatic ductal adenocarcinoma (PDAC) is a heterogeneous cancer in which differences in survival rates might be related to a variety in gene expression profiles. Although the molecular biology of PDAC begins to be revealed, genes or pathways that specifically drive tumour progression or metastasis are not well understood. Therefore, we performed microarray analyses on whole-tumour samples of 2 human PDAC subpopulations with similar clinicopathological features, but extremely distinct survival rates after potentially curative surgery, i.e., good outcome (OS and DFS>50months) versus bad outcome (OS<19months and DFS<7months). Additionally, liver- and peritoneal metastases were analysed and compared to primary cancer tissue. The integrin and ephrin receptor families were upregulated in all PDAC samples, irrespective of outcome, supporting an important role of the interaction between pancreatic cancer cells and the surrounding desmoplastic reaction in tumorigenesis and cancer progression. Moreover, some components, such as ITGB1 and EPHA2, were upregulated in PDAC samples with a poor outcome, Additionally, overexpression of the non-canonical Wnt/-catenin pathway and EMT genes in PDAC samples with bad versus good outcome suggests their contribution to the invasiveness of pancreatic cancer, with -catenin being also highly upregulated in metastatic tissue. Thus, we conclude that components of the integrin and ephrin pathways and EMT-related genes might serve as molecular markers in pancreatic cancer as their expression seems to be related with prognosis.
Molecular markers associated with outcome and metastasis in human pancreatic cancer.
Sex, Age, Specimen part, Disease stage
View SamplesWe report, for the first time, engineering of heteropolar cardiac tissues containing distinct atrial and ventricular ends, and demonstrate their spatially confined responses to serotonin and ranolazine. Uniquely, electrical conditioning for up to 8 months enabled modeling of polygenic left ventricular hypertrophy starting from patient cells. Overall design: hiPSC-CMs from 3 affected (Left Ventricular Hypertrophy [LVH]) and 3 non-affected donors were sequenced using ThermoFisher's whole transcriptome targeted AmpliSeq assay
A Platform for Generation of Chamber-Specific Cardiac Tissues and Disease Modeling.
Specimen part, Disease, Subject
View SamplesWe use single-cell RNA-seq to determine distinct selection phenotypes of 2 rare thymic Treg cell progenitors as well as mature thymic Treg cells Overall design: A single cell suspension was generated from murine thymus then magnetically depleted for CD8/Ter119 before sorting CD25+Foxp3-, CD25-Foxp3lo and CD25+Foxp3+ cells from CD4+CD73- thymocytes on a BD Aria II. The 10x Genomic platform…
Thymic regulatory T cells arise via two distinct developmental programs.
Age, Cell line, Subject
View SamplesTo evaluate the prognostic relevance of molecular subtypes and key transcription factors in pancreatic ductal adenocarcinoma (PDAC), we performed gene expression analysis of whole-tumor tissue obtained from 118 surgically resected PDAC and 13 control samples.
Prognostic relevance of molecular subtypes and master regulators in pancreatic ductal adenocarcinoma.
Specimen part
View SamplesPurpose: To explore the side population (SP) in pancreatic ductal adenocarcinoma (PDAC) for its gene expression profile and its association to cancer stem cells (CSC) and to evaluate the value of genes from its gene signature on patient survival.
Human pancreatic cancer contains a side population expressing cancer stem cell-associated and prognostic genes.
Sex, Age, Specimen part, Disease stage
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