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Blood, 7 May 2009, Vol. 113, No. 19, pp. 1-9. Prepublished online as a Blood First Edition Paper on February 19, 2009; DOI 10.1182/blood-2008-06-162958. This Article Full Text (PDF) Supplemental Appendix, Tables, and Figure All Versions of this Article: blood-2008-06-162958v1 113/19/e1    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Rights and Permissions Citing Articles Citing Articles via HighWire Citing Articles via CrossRef Citing Articles via Google Scholar Google Scholar Articles by Watkins, N. A Articles by Ouwehand, W. H. Search for Related Content PubMed PubMed Citation Articles by Watkins, N. A Articles by Ouwehand, W. H. Related Collections Related Article in Blood Online Social Bookmarking                   What's this?  Previous Article  |  Next Article  Submitted June 19, 2008 Accepted January 29, 2009 A HaemAtlas: characterising gene expression in differentiated human blood cells Nicholas A Watkins*, Arief Gusnanto, Bernard de Bono, Subhajyoti De, Diego Miranda-Saavedra, Debbie L. Hardie, Will G. J. Angenent, Antony P. Attwood, Peter D. Ellis, Wendy Erber, Nicola S. Foad, Stephen F. Garner, Clare M. Isacke, Jennifer Jolley, Kerstin Koch, Iain C. Macaulay, Sarah L. Morley, Augusto Rendon, Kate M. Rice, Niall Taylor, Daphne C. Thijssen-Timmer, Marloes R. Tijssen, C. Ellen van der Schoot, Lorenz Wernisch, Thilo Winzer, Frank Dudbridge, Christopher D. Buckley, Cordelia F. Langford, Sarah Teichmann, Bertie Gottgens, and Willem H. Ouwehand Department of Haematology, University of Cambridge at NHS Blood and Transplant, Cambridge, United Kingdom MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge, United Kingdom European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom Structural Studies, MRC Laboratory of Molecular Biology, Cambridge, United Kingdom Department of Haematology, University of Cambridge at Wellcome Trust/MRC Building, Cambridge, United Kingdom Division of Immunity and Infection, MRC Centre for Immune Regulation, University of Birmingham, Birmingham, United Kingdom Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom Department of Haematology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom Department of Experimental Immunohaematology, Sanquin Research and Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, Netherlands * Corresponding author; email: naw23{at}cam.ac.uk. Haematopoiesis is a carefully controlled process that is regulated by complex networks of transcription factors that are, in part, controlled by signals resulting from ligand binding to cell surface receptors. In order to further understand haematopoiesis, we have compared gene expression profiles of human erythroblasts, megakaryocytes, B-cells, cytotoxic and helper T-cells, Natural Killer cells, granulocytes and monocytes using whole genome microarrays. A bioinformatics analysis of this data was performed focusing on transcription factors, immunoglobulin superfamily members and lineage specific transcripts. We observed that the numbers of lineage specific genes varies by two orders of magnitude, ranging from five for cytotoxic T cells to 878 for granulocytes. In addition, we have identified novel co-expression patterns for key transcription factors involved in haematopoiesis (eg. GATA3 - GFI1 and GATA2 - KLF1). This study represents the most comprehensive analysis of gene expression in haematopoietic cells to date and has identified genes that play key roles in lineage commitment and cell function. The data, which is freely accessible, will be invaluable for future studies on haematopoiesis and the role of specific genes and will also aid the understanding of the recent genome-wide association studies. CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this? Related Article in Blood Online: Comparative genomics: fishing nets hemostatic catch Andrew S. Weyrich and Guy A. Zimmerman Blood 2009 113: 4479-4480. [Full Text] [PDF] This article has been cited by other articles: B. M. Steele, M. T. Harper, I. C. Macaulay, C. N. Morrell, A. Perez-Tamayo, M. Foy, R. Habas, A. W. Poole, D. J. Fitzgerald, and P. B. Maguire Canonical Wnt signaling negatively regulates platelet function PNAS, November 24, 2009; 106(47): 19836 - 19841. [Abstract] [Full Text] [PDF] C. I. Jones, S. Bray, S. F. Garner, J. Stephens, B. de Bono, W. G. J. Angenent, D. Bentley, P. Burns, A. Coffey, P. Deloukas, et al. A functional genomics approach reveals novel quantitative trait loci associated with platelet signaling pathways Blood, August 13, 2009; 114(7): 1405 - 1416. [Abstract] [Full Text] [PDF] A. S. Weyrich and G. A. Zimmerman Comparative genomics: fishing nets hemostatic catch Blood, May 7, 2009; 113(19): 4479 - 4480. [Full Text] [PDF] M. N. O'Connor, I. I. Salles, A. Cvejic, N. A. Watkins, A. Walker, S. F. Garner, C. I. Jones, I. C. Macaulay, M. Steward, J.-J. Zwaginga, et al. Functional genomics in zebrafish permits rapid characterization of novel platelet membrane proteins Blood, May 7, 2009; 113(19): 4754 - 4762. [Abstract] [Full Text] [PDF]

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