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Quantitative profiling of long noncoding RNAs with targeted RNA sequencing.

Identifiers: SRA: SRP047192
BioProject: PRJNA261251
GEO: GSE61474
Study Type: 
Transcriptome Analysis
Abstract: We compared the performance of conventional RNAseq with RNA Capture Sequencing (CaptureSeq) to assemble and quantify known RNA spike-Ins and human transcripts. We find CaptureSeq to be superior for the detection and quantification of the 37% lowest expressed genes, and comparable for the next 45% of moderately expressed genes. CaptureSeq contributes only minor technical variation and measures differential gene expression accurately. We demonstrate these advantages by the targeted sequencing of long noncoding RNAs across 20 human tissues, expanding previous annotations two-fold and simultaneously generating a quantitative atlas of expression. This analysis confirms the use of CaptureSeq as an important method for transcriptional profiling. Overall design: Long noncoding RNA assembly and expression is analysed by targeted RNA sequencing for 20 human tissues and 4 human cell lines
Center Project: GSE61474
External Link: /pubmed:25751143

Related SRA data

Experiments:
75 ( 75 samples )
Runs:
75 (585.7Gbp; 313.5Gb)