PRJNA267614
Landscape of antisense gene expression in human cancers
High throughput RNA sequencing has revealed pervasive transcription of human genome than previously anticipated. However, the extent of natural antisense transcripts (NATs) expression, their regulation of cognate sense genes, and the role of NATs in cancer remain poorly understood. Here, we use strand-specific paired-end RNA sequencing (ssRNASeq) data from 376 cancer patients covering 9 tissue types to comprehensively characterize the landscape of antisense expression. We found consistent antisense expression among greater than 38% of annotated transcripts, which in general is positively correlated with sense gene expression. Investigations of sense/antisense pair expression across tissue types revealed lineage-specific, ubiquitous and cancer-specific antisense loci transcription. Comparisons between tumor and normal samples identified both concordant (same direction) and discordant (opposite direction) sense/antisense expression scenarios. Finally, we developed oncoNAT, a resource to catalog significant antisense transcription of cancer related genes, to enable future investigations of sense/antisense regulation in cancer.