Next Generation Sequencing Facilitates Quantitative Analysis of Bone Marrow Derived Mast Cell Transcriptomes

Purpose:The purpose of this study is to detect activated or silenced genes during Tet2-deficient bone marrow derived mast cell (BMMC) and the control cells. Gene expression differences between two samples could be found using transcriptome profiling (RNA-seq) analysis. Methods:Mouse BMMCs were generated from bone marrow cells in RPMI-1640 medium with recombinant mouse IL-3 and SCF. BMMCs were stained to confirm the surface expression of Fc?RI and c-Kit. Cells with purity >97.5% were used for subsequent experiments. BMMCs RNA profiles were generated by deep sequencing,using Illumina. Results: We mapped about 10 million sequence reads per sample to the mouse genome, identified hundreds of genes with significant mRNA variation between Tet2-deficient BMMC and the control cells. Overall design: BMMC mRNA profiles of wild type (WT) and Tet2-/- mice were generated by deep sequencing.