Literature DB >> 18838119

Transcriptional regulatory networks in haematopoiesis.

Diego Miranda-Saavedra1, Berthold Göttgens.   

Abstract

The coordinated expression of genes lies at the heart of developmental programmes, with complex regulatory networks controlling the spatial and temporal aspects of gene expression. Haematopoiesis (blood formation) has long served as a model process for studying the specification and subsequent differentiation of stem cells and represents the best characterised adult stem cell system. In this review, we outline how the integration of experimental and computational approaches as applied to haematopoiesis has resulted in some of the most advanced models of transcriptional regulatory networks in mammals.

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Year:  2008        PMID: 18838119     DOI: 10.1016/j.gde.2008.09.001

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  14 in total

1.  Myc roles in hematopoiesis and leukemia.

Authors:  M Dolores Delgado; Javier León
Journal:  Genes Cancer       Date:  2010-06

2.  Modeling reveals bistability and low-pass filtering in the network module determining blood stem cell fate.

Authors:  Jatin Narula; Aileen M Smith; Berthold Gottgens; Oleg A Igoshin
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

Review 3.  MYC oncogene in myeloid neoplasias.

Authors:  M Dolores Delgado; Marta Albajar; M Teresa Gomez-Casares; Ana Batlle; Javier León
Journal:  Clin Transl Oncol       Date:  2012-08-22       Impact factor: 3.405

4.  Distinct transcriptional regulatory modules underlie STAT3's cell type-independent and cell type-specific functions.

Authors:  Andrew Paul Hutchins; Diego Diez; Yoshiko Takahashi; Shandar Ahmad; Ralf Jauch; Michel Lucien Tremblay; Diego Miranda-Saavedra
Journal:  Nucleic Acids Res       Date:  2013-01-07       Impact factor: 16.971

Review 5.  Transcriptional regulation of haematopoietic transcription factors.

Authors:  Nicola K Wilson; Fernando J Calero-Nieto; Rita Ferreira; Berthold Göttgens
Journal:  Stem Cell Res Ther       Date:  2011-02-10       Impact factor: 6.832

6.  Genome-wide enhancer prediction from epigenetic signatures using genetic algorithm-optimized support vector machines.

Authors:  Michael Fernández; Diego Miranda-Saavedra
Journal:  Nucleic Acids Res       Date:  2012-02-10       Impact factor: 16.971

7.  Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model.

Authors:  Nicola Bonzanni; Abhishek Garg; K Anton Feenstra; Judith Schütte; Sarah Kinston; Diego Miranda-Saavedra; Jaap Heringa; Ioannis Xenarios; Berthold Göttgens
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

8.  miR-17 promotes expansion and adhesion of human cord blood CD34(+) cells in vitro.

Authors:  Yuxia Yang; Saifeng Wang; Zhenchuan Miao; Wei Ma; Yanju Zhang; Li Su; Mengyu Hu; Junhua Zou; Yuxin Yin; Jianyuan Luo
Journal:  Stem Cell Res Ther       Date:  2015-09-07       Impact factor: 6.832

9.  Cellular network entropy as the energy potential in Waddington's differentiation landscape.

Authors:  Christopher R S Banerji; Diego Miranda-Saavedra; Simone Severini; Martin Widschwendter; Tariq Enver; Joseph X Zhou; Andrew E Teschendorff
Journal:  Sci Rep       Date:  2013-10-24       Impact factor: 4.379

Review 10.  Genome-scale technology driven advances to research into normal and malignant haematopoiesis.

Authors:  Berthold Göttgens
Journal:  Scientifica (Cairo)       Date:  2012-12-31
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