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Next Generation Sequencing Facilitates Quantitative Analysis of Ter cells Transcriptomes

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE109429
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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. Ter-119+CD45−Lin− cells mRNA profiles of tumor-bearing mice were generated by deep sequencing.
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2019-03-19
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