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Stem Cell Research & Therapy
Article . 2011 . Peer-reviewed
License: Springer TDM
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Stem Cell Research & Therapy
Article
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Other literature type . 2011
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Transcriptional regulation of haematopoietic transcription factors

Authors: Berthold Göttgens; Nicola K. Wilson; Fernando J Calero-Nieto; Rita Ferreira;

Transcriptional regulation of haematopoietic transcription factors

Abstract

The control of differential gene expression is central to all metazoan biology. Haematopoiesis represents one of the best understood developmental systems where multipotent blood stem cells give rise to a range of phenotypically distinct mature cell types, all characterised by their own distinctive gene expression profiles. Small combinations of lineage-determining transcription factors drive the development of specific mature lineages from multipotent precursors. Given their powerful regulatory nature, it is imperative that the expression of these lineage-determining transcription factors is under tight control, a fact underlined by the observation that their misexpression commonly leads to the development of leukaemia. Here we review recent studies on the transcriptional control of key haematopoietic transcription factors, which demonstrate that gene loci contain multiple modular regulatory regions within which specific regulatory codes can be identified, that some modular elements cooperate to mediate appropriate tissue-specific expression, and that long-range approaches will be necessary to capture all relevant regulatory elements. We also explore how changes in technology will impact on this area of research in the future.

Keywords

Review, LIM Domain Proteins, Hematopoietic Stem Cells, DNA-Binding Proteins, Gene Expression Regulation, Proto-Oncogene Proteins, Basic Helix-Loop-Helix Transcription Factors, Animals, Humans, T-Cell Acute Lymphocytic Leukemia Protein 1, Adaptor Proteins, Signal Transducing, Transcription Factors

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
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gold
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