Integrative RNA-seq and microarray data analysis reveals GC content and gene length biases in the psoriasis transcriptome.

ABSTRACT: Gene expression profiling of psoriasis has driven research advances and may soon provide the basis for clinical applications. For expression profiling studies, RNA-seq is now a competitive technology, but RNA-seq results may differ from those obtained by microarray. We therefore compared findings obtained by RNA-seq with those from eight microarray studies of psoriasis. RNA-seq and microarray datasets identified similar numbers of differentially expressed genes (DEGs), with certain genes uniquely identified by each technology. Correspondence between platforms and the balance of increased to decreased DEGs was influenced by mRNA abundance, GC content, and gene length. Weakly expressed genes, genes with low GC content, and long genes were all biased toward decreased expression in psoriasis l

SUBMITTER: Swindell WR 

PROVIDER: S-EPMC4121624 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature