Genome wide transcriptome analysis of patient matched prostate cancer using NGS technology

Purpose: The goal of present study is to compare transcript level changes between normal and tumor of same individual Methods: Total RNA was isolated, strand specific RNA seq was performed after Ribosomal RNA removal, global transcript profiles were generated by deep sequencing, in duplicate, using Illumina Hiseq. Initial quality check was performed using FASTQC, Alignment was performed using Hisat2 against human hg19 genome. Raw read count was performed using SummarizedExperiment (R package). Differential analysis was done using DEseq2 Results: This study provides insights in terms of global trancriptome changes between normal and tumor of same patient. Conclusions: This study provides in depth analysis of transcriptomoc data in patient specific manner. Overall design: Strand specific total RNA seq was performed using frozen patient matched prostate cancer tissue in biological duplicate