RNA-seq Quantitative Analysis of Wild Type and Kcnh2-/- day4 cells derived from rESCs

Conclusions: Our study represents the detailed analysis of transcriptomes of Kcnh2-/- vs. WT rat embryonic stem cell, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.