Analysis of long non-coding RNA expression and function in a mouse model of glioblastoma

Abstract

Glioblastoma (GBM) is the most common adult brain tumor and represents one of the most treatment refractory cancers. Although significant progress has been made in understanding the coding genomic alterations associated with GBM, patient survival rarely exceeds 12-14 months following diagnosis. Long non-coding RNAs (lncRNAs) are RNA species generally classified as > 200 base-pairs in length that lack protein coding potential and therefore exert their function as RNA. Several lncRNAs have been shown to play important roles in cancer biology. Despite this, the role of lncRNAs in cancer, and GBM in particular, remains relatively uncharacterized. We hypothesize that lncRNAs are differentially expressed in GBM and contribute to the pathogenesis of this disease. Using next generation sequencing, we have identified lncRNAs expressed in our mouse model of GBM, initiated by lentivirus-mediated expression of oncogenic Ras and a shRNA targeting p53. This resulted in the identification of 818 putative lncRNAs, the majority of which represent novel, uncharacterized transcripts. The majority of the lncRNAs identified were intergenic and not associated with any known protein coding gene. Of the total lncRNAs, 44% were differentially expressed in tumor tissue compared to normal mouse brain. Expression of a subset of these differentially expressed lncRNAs was validated by real-time PCR. Expression of several of these validated lncRNAs could be altered by direct activation of oncogenic signaling in normal mouse neuroprogenitor cells and astrocytes. Using a combination of computational and molecular biology approaches, we will identify candidate lncRNAs to test in functional assays for their role in glioblastoma biology.

Additional details