Comparison of stranded and non-stranded RNA-seq transcriptome profiling and investigation of gene overlap

BMC Genomics
Shanrong ZhaoBaohong Zhang

Abstract

While RNA-sequencing (RNA-seq) is becoming a powerful technology in transcriptome profiling, one significant shortcoming of the first-generation RNA-seq protocol is that it does not retain the strand specificity of origin for each transcript. Without strand information it is difficult and sometimes impossible to accurately quantify gene expression levels for genes with overlapping genomic loci that are transcribed from opposite strands. It has recently become possible to retain the strand information by modifying the RNA-seq protocol, known as strand-specific or stranded RNA-seq. Here, we evaluated the advantages of stranded RNA-seq in transcriptome profiling of whole blood RNA samples compared with non-stranded RNA-seq, and investigated the influence of gene overlaps on gene expression profiling results based on practical RNA-seq datasets and also from a theoretical perspective. Our results demonstrated a substantial impact of stranded RNA-seq on transcriptome profiling and gene expression measurements. As many as 1751 genes in Gencode Release 19 were identified to be differentially expressed when comparing stranded and non-stranded RNA-seq whole blood samples. Antisense and pseudogenes were significantly enriched in different...Continue Reading

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Datasets Mentioned

BETA
SRP056985

Methods Mentioned

BETA
RNA-seq
PCR
stranded

Software Mentioned

R
UCSC
R script
R package GenomicFeatures
voom
Pfizer
featureCounts
STAR
Ensembl
/ voom

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