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Highly sensitive amplicon-based transcript quantification by semi-conductor sequencing

ABSTRACT: We have adapted a commercial assay that employs mRNA quantification based on the frequency of PCR amplicons determined by next-generation to a high-throughput semi-conductor sequencing platform (Ion-Torrent Proton). We show parallel amplification of pathway derived transcript sets/genes in 12 reference RNA samples followed by sequence-based quantification covering a dynamic range of five orders of magnitude with low technical variation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE58737 | GEO | 2014/07/15

SECONDARY ACCESSION(S): PRJNA253305

REPOSITORIES: GEO

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Highly sensitive amplicon-based transcript quantification by semi-conductor sequencing

Project description:We have adapted a commercial assay that employs mRNA quantification based on the frequency of PCR amplicons determined by next-generation to a high-throughput semi-conductor sequencing platform (Ion-Torrent Proton). We show parallel amplification of pathway derived transcript sets/genes in 12 reference RNA samples followed by sequence-based quantification covering a dynamic range of five orders of magnitude with low technical M-BM- variation. Expression of selected genes were profiled at four time points (0d, 10d, 20d, and 60d) during differentiation of induced pluripotent stem cells into cardiomyocytes, with three independent biological replicates at each time point.

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Comprehensive Evaluation of AmpliSeq Transcriptome, a Novel Targeted Whole Transcriptome RNA Sequencing Methodology for Global Gene Expression Analysis.

Project description: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.

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Homo sapiens

Project description:Highly sensitive amplicon-based transcript quantification by semi-conductor sequencing

| PRJNA253305 | ENA