LSHTM Research Online

Watkins, NA; Gusnanto, A; de Bono, B; De, S; Miranda-Saavedra, D; Hardie, DL; Angenent, WG; Attwood, AP; Ellis, PD; Erber, W; Foad, NS; Garner, SF; Isacke, CM; Jolley, J; Koch, K; Macaulay, IC; Morley, SL; Rendon, A; Rice, KM; Taylor, N; Thijssen-Timmer, DC; Tijssen, MR; van der Schoot, CE; Wernisch, L; Winzer, T; Dudbridge, F; Buckley, CD; Langford, CF; Teichmann, S; G?ttgens, B; Ouwehand, WH; Bloodomics Consortium, ; (2009) A HaemAtlas: characterizing gene expression in differentiated human blood cells. Blood, 113 (19). e1-9. ISSN 0006-4971 DOI: https://doi.org/10.1182/blood-2008-06-162958

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Abstract

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.

Item Type:	Article
Faculty and Department:	Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
PubMed ID:	19228925
Web of Science ID:	265910300049
URI:	http://researchonline.lshtm.ac.uk/id/eprint/3676

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