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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Dysfunctional bone marrow endothelial progenitor cells are involved in patients with myelodysplastic syndromes

Fig. 2

Transcriptome heterogeneity of BM EPCs from MDS patients identified by bulk RNA-seq. A Schematic of the experiment. BM EPCs from 3 HDs and 3 L-MDS, 3 H-MDS, and 3 AML patients at 7 days of culture were collected, and bulk RNA-seq was performed. B PCA score plot of 12 libraries. C Heatmap and hierarchical clustering of RNA-seq data for the HD, L-MDS, H-MDS and AML groups using the Euclidean distance. Distributions and quantifications of genes in BM EPCs from D L-MDS verses H-MDS and E H-MDS verses AML. The x axis shows the log2 of gene expression change, whereas the y axis shows the − log10 of the P value. The KEGG pathway enrichment analyses of Organismal Systems class of the different genes between F L-MDS vs. H-MDS and G H-MDS vs. AML are shown. The x axis shows the rich factor. H Heatmap shows haematopoiesis- and immune-related gene expression in bulk RNA-seq data of 12 libraries. The relative mRNA levels of I CXCL12, KITLG, NFKB1 genes and J HAVCR2, CIITA, LGALS9 genes in HD, L-MDS, H-MDS and AML BM EPCs were determined using qRT-PCR. The relative mRNA analyses were using Wilcoxon matched-pairs signed rank test. Data are presented as the means ± SEM (*P ≤ 0.05). AML Acute myeloid leukaemia, BM Bone marrow, BMMNCs Bone marrow mononuclear cells, EPCs Endothelial progenitor cells, HD Healthy donor, H-MDS Higher-risk myelodysplastic syndromes, KEGG Kyoto Encyclopedia of Genes and Genomes, L-MDS Lower-risk myelodysplastic syndromes, PCA Principal component analysis, RNA-seq RNA sequencing, ROS reactive oxygen species

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