Edinburgh Research Explorer

Genome-wide Analysis of Simultaneous GATA1/2, RUNX1, FLI1, and SCL Binding in Megakaryocytes Identifies Hematopoietic Regulators

Research output: Contribution to journalArticle

  • Marloes R. Tijssen
  • Ana Cvejic
  • Anagha Joshi
  • Rebecca L. Hannah
  • Rita Ferreira
  • Ariel Forrai
  • Dana C. Bellissimo
  • S. Helen Oram
  • Peter A. Smethurst
  • Nicola K. Wilson
  • Xiaonan Wang
  • Katrin Ottersbach
  • Derek L. Stemple
  • Anthony R. Green
  • Willem H. Ouwehand
  • Berthold Goettgens

Related Edinburgh Organisations

Open Access permissions



  • Download as Adobe PDF

    Rights statement: Copyright © 2011 ELL & Excerpta Medica. This document may be redistributed and reused, subject to certain conditions.

    Final published version, 1.67 MB, PDF document

Original languageEnglish
Pages (from-to)597-609
Number of pages13
JournalDevelopmental Cell
Issue number5
Publication statusPublished - 17 May 2011


Hematopoietic differentiation critically depends on combinations of transcriptional regulators controlling the development of individual lineages. Here, we report the genome-wide binding sites for the five key hematopoietic transcription factors-GATA1, GATA2, RUNX1, FLI1, and TAL1/SCL-in primary human megakaryocytes. Statistical analysis of the 17,263 regions bound by at least one factor demonstrated that simultaneous binding by all five factors was the most enriched pattern and often occurred near known hematopoietic regulators. Eight genes not previously appreciated to function in hematopoiesis that were bound by all five factors were shown to be essential for thrombocyte and/or erythroid development in zebrafish. Moreover, one of these genes encoding the PDZK1IP1 protein shared transcriptional enhancer elements with the blood stem cell regulator TAL1/SCL. Multifactor ChIP-Seq analysis in primary human cells coupled with a high-throughput in vivo perturbation screen therefore offers a powerful strategy to identify essential regulators of complex mammalian differentiation processes.

Download statistics

No data available

ID: 5854606