Integrated analysis of miRNA and mRNA during differentiation of human CD34+ cells delineates the regulatory roles of microRNA in hematopoiesis  Nalini.

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Integrated analysis of miRNA and mRNA during differentiation of human CD34+ cells delineates the regulatory roles of microRNA in hematopoiesis  Nalini Raghavachari, Poching Liu, Jennifer J. Barb, Yanqin Yang, Richard Wang, Quang Tri Nguyen, Peter J. Munson  Experimental Hematology  Volume 42, Issue 1, Pages 14-27.e2 (January 2014) DOI: 10.1016/j.exphem.2013.10.003 Copyright © 2013 Terms and Conditions

Figure 1 Flow cytometry characterization of CD34+ and differentiated E, G, and M cells by dual-color immunofluorescence using a BD FACS Canto flow cytometer. (A) Unstained CD34+ cells. (B) Erythropoietic cells stained with anti-CD71 FITC antibody. (C) Granulopoietic cells stained with anti-CD15 FITC antibody. (D) Megakaryocytic cells stained with anti-CD61 FITC antibody. The numbers in red show the actual percentage of cells positively stained with the specific CD surface marker out of the total number of stained cells analyzed in the flow cytometer. (Color version of this figure is available online.) Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Figure 2 Hierarchical cluster analysis performed on the 49 differentially expressed miRNA. miRNAs were chosen to be differentially expressed between four lineage-specific cell types, megakaryopoietic (M), granulopoietic (G), erythropoietic (E), and CD34+ stem cells are shown here. The cluster shows cell type fold change expression in E, G, and M groups compared with CD34+. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Figure 3 Validation by qPCR. Log2 expression fold change (A) E versus CD34; (B) G versus CD34; (C) M versus CD34 measured by microarray and qPCR on selected genes. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Figure 4 Correlation of selected differentially expressed miRNAs with potential differentially expressed targets. Twenty miRNAs had significant correlation with at least 1 of 50 being differentially expressed. Each box indicates a significant correlation at p ≤ 0.05 (blue is negative, red is positive). This figure illustrates each of the 87 miRNA-mRNA significantly correlated pairs. All correlation coefficients have an absolute value of 0.95 or higher. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Figure 5 Inversely correlated miRNA-mRNA pairs with significant correlation (R = 0.95). The x axis shows the log2-fold changes in the expression of miRNA and mRNA. The green bars depict the miRNA, and the red bars depict the mRNA expression. (A) E versus CD34. (B) G versus CD34. (C) M versus CD34. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Supplementary Figure E1 Pathway analysis on predicted miRNA targets. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Supplementary Figure E2 Pathway analysis on 87 highly correlated miRNA-mRNA pairs. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions

Supplementary Figure E3 Pathway analysis on inversely correlated miRNA-mRNA pairs. Experimental Hematology 2014 42, 14-27.e2DOI: (10.1016/j.exphem.2013.10.003) Copyright © 2013 Terms and Conditions