GSE109429
Next Generation Sequencing Facilitates Quantitative Analysis of Ter cells Transcriptomes
Purpose:The purpose of this study is to detect genes Ter-119+CD45-Lin- cells sorted from spleen of tumor-bearing mice and the control cells. Gene expression differences between seven samples could be found using transcriptome profiling (RNA-seq) analysis. Methods: The seven cell subsets were isolated from spleen of tumor-bearing mice, embryonic liver (E14.5) and bone marrow of wild type mice by cell sorter respectively. Cells with purity >98% were used for subsequent experiments. The cell subsets RNA profiles were generated by deep sequencing,using Illumina. Results: Genes with FPKM values above 10.0 in the cell groups were used for subsequent analysis. Single linkage clustering analysis between the groups and prcomp function-based PCA analysis on the expression matrix were performed by R software. We found that the tumor-induced Ter-119+CD45-Lin- cells expressed the transcriptional factors and functional genes associated with erythrocyte and megakaryocyte development, but not myeloid cells differentiation. Overall design: Ter-119+CD45-Lin- cells mRNA profiles of tumor-bearing mice were generated by deep sequencing.