github link
Accession IconSRP047192

Quantitative profiling of long noncoding RNAs with targeted RNA sequencing.

Organism Icon Homo sapiens
Sample Icon 47 Downloadable Samples
Technology Badge IconIllumina HiSeq 2000

Submitter Supplied Information

Description
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
PubMed ID
Total Samples
50
Submitter’s Institution
No associated institution
Alternate Accession IDs

Samples

Show of 0 Total Samples
Filter
Add/Remove
Accession Code
Title
Processing Information
Additional Metadata
No rows found
Loading...