Literature DB >> 24853077

Dynamic transcription factor activity profiles reveal key regulatory interactions during megakaryocytic and erythroid differentiation.

Mark T Duncan1, Seungjin Shin, Jia J Wu, Zachary Mays, Stanley Weng, Neda Bagheri, William M Miller, Lonnie D Shea.   

Abstract

The directed differentiation toward erythroid (E) or megakaryocytic (MK) lineages by the MK-E progenitor (MEP) could enhance the ex vivo generation of red blood cells and platelets for therapeutic transfusions. The lineage choice at the MEP bifurcation is controlled in large part by activity within the intracellular signal transduction network, the output of which determines the activity of transcription factors (TFs) and ultimately gene expression. Although many TFs have been implicated, E or MK differentiation is a complex process requiring multiple days, and the dynamics of TF activities during commitment and terminal maturation are relatively unexplored. Herein, we applied a living cell array for the large-scale, dynamic quantification of TF activities during MEP bifurcation. A panel of hematopoietic TFs (GATA-1, GATA-2, SCL/TAL1, FLI-1, NF-E2, PU.1, c-Myb) was characterized during E and MK differentiation of bipotent K562 cells. Dynamic TF activity profiles associated with differentiation towards each lineage were identified, and validated with previous reports. From these activity profiles, we show that GATA-1 is an important hub during early hemin- and PMA-induced differentiation, and reveal several characteristic TF interactions for E and MK differentiation that confirm regulatory mechanisms documented in the literature. Additionally, we highlight several novel TF interactions at various stages of E and MK differentiation. Furthermore, we investigated the mechanism by which nicotinamide (NIC) promoted terminal MK maturation using an MK-committed cell line, CHRF-288-11 (CHRF). Concomitant with its enhancement of ploidy, NIC strongly enhanced the activity of three TFs with known involvement in terminal MK maturation: FLI-1, NF-E2, and p53. Dynamic profiling of TF activity represents a novel tool to complement traditional assays focused on mRNA and protein expression levels to understand progenitor cell differentiation.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  differentiation; dynamic networks; erythroid; inference; megakaryocytic; transcription factor activity

Mesh:

Substances:

Year:  2014        PMID: 24853077      PMCID: PMC4232189          DOI: 10.1002/bit.25262

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  58 in total

Review 1.  Roles of hematopoietic transcription factors GATA-1 and GATA-2 in the development of red blood cell lineage.

Authors:  Kinuko Ohneda; Masayuki Yamamoto
Journal:  Acta Haematol       Date:  2002       Impact factor: 2.195

2.  Cooperative and antagonistic interplay between PU.1 and GATA-2 in the specification of myeloid cell fates.

Authors:  Jonathan C Walsh; Rodney P DeKoter; Hyun Jun Lee; Erica D Smith; David W Lancki; Michael F Gurish; Daniel S Friend; Richard L Stevens; John Anastasi; Harinder Singh
Journal:  Immunity       Date:  2002-11       Impact factor: 31.745

3.  Increased glutathione S-transferase P1-1 expression by mRNA stabilization in hemin-induced differentiation of K562 cells.

Authors:  Michael Schnekenburger; Franck Morceau; Annelyse Duvoix; Sylvie Delhalle; Chantal Trentesaux; Mario Dicato; Marc Diederich
Journal:  Biochem Pharmacol       Date:  2004-09-15       Impact factor: 5.858

4.  Tumor suppressor protein p53 regulates megakaryocytic polyploidization and apoptosis.

Authors:  Peter G Fuhrken; Pani A Apostolidis; Stephan Lindsey; William M Miller; Eleftherios T Papoutsakis
Journal:  J Biol Chem       Date:  2008-04-08       Impact factor: 5.157

Review 5.  Transcription factor networks in erythroid cell and megakaryocyte development.

Authors:  Louis C Doré; John D Crispino
Journal:  Blood       Date:  2011-05-26       Impact factor: 22.113

6.  Differentiation of K562 leukemia cells along erythroid, macrophage, and megakaryocyte lineages.

Authors:  J A Sutherland; A R Turner; P Mannoni; L E McGann; J M Turc
Journal:  J Biol Response Mod       Date:  1986-06

7.  Multipotent human hematopoietic cell line K562: lineage-specific constitutive and inducible antigens.

Authors:  J F Leary; B M Ohlsson-Wilhelm; R Giuliano; S LaBella; B Farley; P T Rowley
Journal:  Leuk Res       Date:  1987       Impact factor: 3.156

8.  Overexpression of GATA-2 inhibits erythroid and promotes megakaryocyte differentiation.

Authors:  P Ikonomi; C E Rivera; M Riordan; G Washington; A N Schechter; C T Noguchi
Journal:  Exp Hematol       Date:  2000-12       Impact factor: 3.084

9.  Comparative, genome-scale transcriptional analysis of CHRF-288-11 and primary human megakaryocytic cell cultures provides novel insights into lineage-specific differentiation.

Authors:  Peter G Fuhrken; Chi Chen; William M Miller; Eleftherios T Papoutsakis
Journal:  Exp Hematol       Date:  2007-03       Impact factor: 3.084

10.  Analysis of the thrombopoietin receptor (MPL) promoter implicates GATA and Ets proteins in the coregulation of megakaryocyte-specific genes.

Authors:  S Deveaux; A Filipe; V Lemarchandel; J Ghysdael; P H Roméo; V Mignotte
Journal:  Blood       Date:  1996-06-01       Impact factor: 22.113

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  3 in total

1.  Small Molecule Supplements Improve Cultured Megakaryocyte Polyploidization by Modulating Multiple Cell Cycle Regulators.

Authors:  Xiaojing Zou; Mingyi Qu; Fang Fang; Zeng Fan; Lin Chen; Wen Yue; Xiaoyan Xie; Xuetao Pei
Journal:  Biomed Res Int       Date:  2017-10-19       Impact factor: 3.411

2.  Calf Spleen Extractive Injection protects mice against cyclophosphamide-induced hematopoietic injury through G-CSF-mediated JAK2/STAT3 signaling.

Authors:  Wenqian Lu; Dongxu Jia; Shengshu An; Ming Mu; Xinan Qiao; Yan Liu; Xin Li; Di Wang
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

3.  Fibronectin Promotes the Malignancy of Glioma Stem-Like Cells Via Modulation of Cell Adhesion, Differentiation, Proliferation and Chemoresistance.

Authors:  Qi Yu; Yixue Xue; Jing Liu; Zhuo Xi; Zhen Li; Yunhui Liu
Journal:  Front Mol Neurosci       Date:  2018-04-13       Impact factor: 5.639

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