Next Generation Sequencing Facilitates Quantitative Analysis of human patient derived primary Glioblastoma (GBM) cancer cell Transcriptomes

Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare GBM transcriptome profiling (RNA-seq) after shRNA based knockdown of PRKAB1 and to compare gene expression by optimal high-throughput data analysis Overall design: Methods: Total RNA profiles of two GBM cells (scramble and PRKAB1 sh RNA treated) were generated by deep sequencing, in triplicate, using Illumina Hiseq 2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using SYBR Green assays

12

Chhipa RR, Fan Q, Anderson J, Muraleedharan R, Huang Y, Ciraolo G, Chen X, Waclaw R, Chow LM, Khuchua Z, Kofron M, Weirauch MT, Kendler A, McPherson C, Ratner N, Nakano I, Dasgupta N, Komurov K, Dasgupta B