GSE138700
Next Generation Sequencing Facilitates Quantitative Analysis of VSV-stimulated Wild Type and lncRNA-ISIR -/- spleen Transcriptomes
Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. Methods: spleen mRNA profiles of 8-weeks-old WT and lncRNA-ISIR, used to be called lnRNA-IRF3, knockout mice were generated by deep sequencing, using BGISEQ-500 system. The sequence reads that passed quality filters were analyzed at the transcriptional level with RSEM (RNA-seq by Expectation Maximization). Conclusions: Our study represents the first detailed analysis of retinal transcriptomes,  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. Overall design: spleen mRNA profiles of 8-weeks-old WT and lncRNA-ISIR-/- mice were generated by deep sequencing,  using BGISEQ-500.