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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 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 Citation Map 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 Hematopoiesis and Stem Cells e-Blood Related Article in Blood Online Social Bookmarking                   What's this?  Previous Article  |  Table of Contents e-Blood A HaemAtlas: characterizing gene expression in differentiated human blood cells Nicholas A. Watkins1, Arief Gusnanto2, Bernard de Bono3, Subhajyoti De4, Diego Miranda-Saavedra5, Debbie L. Hardie6, Will G. J. Angenent7, Antony P. Attwood7, Peter D. Ellis7, Wendy Erber8, Nicola S. Foad1, Stephen F. Garner1, Clare M. Isacke9, Jennifer Jolley1, Kerstin Koch1, Iain C. Macaulay1, Sarah L. Morley1, Augusto Rendon1, Kate M. Rice7, Niall Taylor1, Daphne C. Thijssen-Timmer10, Marloes R. Tijssen10, C. Ellen van der Schoot10, Lorenz Wernisch2, Thilo Winzer1, Frank Dudbridge2, Christopher D. Buckley6, Cordelia F. Langford7, Sarah Teichmann4, Berthold Göttgens5, Willem H. Ouwehand1,7, on behalf of the Bloodomics Consortium 1 Department of Haematology, University of Cambridge, National Health Service Blood and Transplant, Cambridge, United Kingdom; 2 Medical Research Council Biostatistics Unit, Institute of Public Health, University Forvie Site, Cambridge, United Kingdom; 3 European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom; 4 Structural Studies, Medical Research Council Laboratory of Molecular Biology, Cambridge, United Kingdom; 5 Wellcome Trust/Medical Research Council Building, Cambridge, United Kingdom; 6 Division of Immunity and Infection, Medical Research Council Centre for Immune Regulation, University of Birmingham, Birmingham, United Kingdom; 7 Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom; 8 Department of Haematology, Addenbrooke's Hospital, Cambridge University Hospitals National Health Service Foundation Trust, Cambridge, United Kingdom; 9 Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, United Kingdom; and 10 Department of Experimental Immunohaematology, Sanquin Research and Landsteiner Laboratory, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands Hematopoiesis 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. To further understand hematopoiesis, 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 these 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 2 orders of magnitude, ranging from 5 for cytotoxic T cells to 878 for granulocytes. In addition, we have identified novel coexpression patterns for key transcription factors involved in hematopoiesis (eg, GATA3-GFI1 and GATA2-KLF1). This study represents the most comprehensive analysis of gene expression in hematopoietic cells to date and has identified genes that play key roles in lineage commitment and cell function. The data, which are freely accessible, will be invaluable for future studies on hematopoiesis 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: 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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