Global regulation of erythroid gene expression by transcription factor GATA-1

被引:336
|
作者
Welch, JJ
Watts, JA
Vakoc, CR
Yao, Y
Wang, H
Hardison, RC
Blobel, GA
Chodosh, LA
Weiss, MJ
机构
[1] Childrens Hosp Philadelphia, Div Hematol, Abramson Res Ctr, Philadelphia, PA 19104 USA
[2] Univ Penn, Sch Med, Cell & Mol Biol & Combined Degree Grad Programs, Philadelphia, PA 19104 USA
[3] Penn State Univ, Huck Inst Life Sci, Dept Biochem & Mol Biol, Ctr Comparat Genom & Bioinformat, University Pk, PA 16802 USA
[4] Univ Penn, Dept Canc Biol, Abramson Family Canc Res Inst, Philadelphia, PA 19104 USA
关键词
D O I
10.1182/blood-2004-04-1603
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Transcription factor GATA-1 is required for erythropoiesis, yet its full actions are unknown. We performed transcriptome analysis of G1 E-ER4 cells, a GATA-1 -null erythroblast line that undergoes synchronous erythroid maturation when GATA-1 activity is restored. We interrogated more than 9000 transcripts at 6 time points representing the transition from late burst forming unit-erythroid (BFU-E) to basophilic erythroblast stages. Our findings illuminate several new aspects of GATA-1 function. First, the large number of genes responding quickly to restoration of GATA-1 extends the repertoire of its potential targets. Second, many transcripts were rapidly down-regulated, highlighting the importance of GATA-1 in gene repression. Third, up-regulation of some known GATA-1 targets was delayed, suggesting that auxiliary factors are required. For example, induction of the direct GATA-1 target gene beta major globin was late and, surprisingly, required new protein synthesis. In contrast, the gene encoding Fog1, which cooperates with GATA-1 in beta globin transcription, was rapidly induced independently of protein synthesis. Guided by bioinformatic analysis, we demonstrated that selected regions of the Fog1 gene exhibit enhancer activity and in vivo occupancy by GATA-1. These findings define a regulatory loop for beta globin expression and, more generally, demonstrate how transcriptome analysis can be used to generate testable hypotheses regarding transcriptional networks. (C) 2004 by The American Society of Hematology.
引用
收藏
页码:3136 / 3147
页数:12
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