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

Slides:

Advertisements

Similar presentations

Kindlin 3 (FERMT3) is associated with unstable atherosclerotic plaques, anti- inflammatory type II macrophages and upregulation of beta-2 integrins in.

Advertisements

Comparative characteristics of mesenchymal stem cells from human bone marrow, adipose tissue, and umbilical cord blood Wolfgang Wagner, Frederik Wein,

M. Fu, G. Huang, Z. Zhang, J. Liu, Z. Zhang, Z. Huang, B. Yu, F. Meng

Volume 4, Issue 6, Pages (June 2015)

Comparative clonal analysis of reconstitution kinetics after transplantation of hematopoietic stem cells gene marked with a lentiviral SIN or a γ-retroviral.

Bart Tummers, Renske Goedemans, Veena Jha, Craig Meyers, Cornelis J. M

A B C Supplementary Figure 1 Group 1 Group 2 Group 3 #1 #2 #3 #4 #5 #6

Experimental Hematology

Distinctive proliferative phase differences in gene expression in human myometrium and leiomyomata Hongbo Wang, MD, Mamatha Mahadevappa, PhD, Karen Yamamoto,

High Expression of PHGDH Predicts Poor Prognosis in Non–Small Cell Lung Cancer Jinhong Zhu, Jianqun Ma, Xudong Wang, Tianjiao Ma, Shu Zhang, Wei Wang,

Synergistic action of dual IGF1/R and MEK inhibition sensitizes childhood acute lymphoblastic leukemia (ALL) cells to cytotoxic agents and involves downregulation.

Characterization of microRNA transcriptome in tumor, adjacent, and normal tissues of lung squamous cell carcinoma Jun Wang, MD, PhD, Zhi Li, MD, PhD,

Myung Jin Son, Kevin Woolard, Do-Hyun Nam, Jeongwu Lee, Howard A. Fine

MicroRNA expression in the human blastocyst

Potential role of circulating microRNAs as a biomarker for unexplained recurrent spontaneous abortion Weibing Qin, M.D., Ph.D., Yunge Tang, M.D., Ning.

Volume 6, Issue 5, Pages e5 (May 2018)

Volume 2, Issue 6, Pages (June 2014)

ATM Gene Mutations Result in Both Recessive and Dominant Expression Phenotypes of Genes and MicroRNAs Denis A. Smirnov, Vivian G. Cheung The American.

Regulating Cancer Stem Cells the miR Way

A microRNA profile comparison between thoracic aortic dissection and normal thoracic aorta indicates the potential role of microRNAs in contributing to.

Dual LGR5 and KI67 knock‐in PDOs enable separation of quiescent and cycling LGR5+ CRC cells Dual LGR5 and KI67 knock‐in PDOs enable separation of quiescent.

Volume 129, Issue 3, Pages (September 2005)

Volume 20, Issue 12, Pages (September 2017)

GABA, a New Player in the Plant Mating Game

Molecular Therapy - Nucleic Acids

Volume 2, Issue 6, Pages (June 2014)

Volume 5, Issue 1, Pages e4 (July 2017)

Suppression of migratory/invasive ability and induction of apoptosis in adenomyosis- derived mesenchymal stem cells by cyclooxygenase-2 inhibitors Yi-Jen.

Volume 85, Issue 2, Pages (January 2014)

Molecular Therapy - Methods & Clinical Development

Reiner Schulte, Nicola K. Wilson, Janine C. M

Christine V. Ichim, Džana D

Volume 2, Issue 2, Pages (February 2014)

Adhesion receptor expression by hematopoietic cell lines and murine progenitors Pamela S Becker, Susan K Nilsson, Zhifang Li, Virla M Berrios, Mark S.

Qiuping He, Suwei Gao, Junhua Lv, Wei Li, Feng Liu

Volume 10, Issue 1, Pages (January 2018)

Inhibition of KLF4 by Statins Reverses Adriamycin-Induced Metastasis and Cancer Stemness in Osteosarcoma Cells Yangling Li, Miao Xian, Bo Yang, Meidan.

Gpr171, a putative P2Y-like receptor, negatively regulates myeloid differentiation in murine hematopoietic progenitors Lara Rossi, Roberto M. Lemoli,

GABA, a New Player in the Plant Mating Game

Sphingosine-1-phosphate signaling modulates terminal erythroid differentiation through the regulation of mitophagy Chong Yang, Michihiro Hashimoto, Quy.

Volume 4, Issue 3, Pages (March 2015)

Molecular Mechanisms Regulating the Defects in Fragile X Syndrome Neurons Derived from Human Pluripotent Stem Cells Tomer Halevy, Christian Czech, Nissim.

Volume 4, Issue 6, Pages (June 2015)

Early gene expression profiles during intraoperative myocardial ischemia-reperfusion in cardiac surgery Sara Arab, PhD, Igor E. Konstantinov, MD, PhD,

Volume 16, Issue 11, Pages (September 2016)

Volume 9, Issue 5, Pages (November 2017)

Deletion of the Scl +19 enhancer increases the blood stem cell compartment without affecting the formation of mature blood lineages Dominik Spensberger,

Volume 37, Issue 6, Pages (December 2012)

Volume 9, Issue 4, Pages (October 2011)

Directed Differentiation of Human Pluripotent Stem Cells to Microglia

Inside This Issue Experimental Hematology

Targeting SOX17 in Human Embryonic Stem Cells Creates Unique Strategies for Isolating and Analyzing Developing Endoderm Pei Wang, Ryan T. Rodriguez,

Sietske T. Bakker, Emmanuelle Passegué Experimental Hematology

Pharmacological activation of wild-type p53 in the therapy of leukemia

ATM Gene Mutations Result in Both Recessive and Dominant Expression Phenotypes of Genes and MicroRNAs Denis A. Smirnov, Vivian G. Cheung The American.

Volume 23, Issue 8, Pages (May 2018)

Volume 17, Issue 3, Pages (September 2015)

Volume 5, Issue 1, Pages e4 (July 2017)

Volume 26, Issue 12, Pages e5 (March 2019)

Volume 40, Issue 2, Pages (February 2014)

Molecular Therapy - Nucleic Acids

Erratum Experimental Hematology

Stem cell biology and the plasticity polemic

Circulating miRNA panel for prediction of acute graft-versus-host disease in lymphoma patients undergoing matched unrelated hematopoietic stem cell transplantation

Volume 26, Issue 13, Pages e5 (March 2019)

Genome-wide Functional Analysis Reveals Factors Needed at the Transition Steps of Induced Reprogramming Chao-Shun Yang, Kung-Yen Chang, Tariq M. Rana

Circular RNA Transcriptomic Analysis of Primary Human Brain Microvascular Endothelial Cells Infected with Meningitic Escherichia coli Ruicheng Yang,

Volume 28, Issue 3, Pages e7 (July 2019)

Volume 25, Issue 5, Pages e4 (May 2017)

CD123 CAR T cells for the treatment of myelodysplastic syndrome

Presentation transcript:

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