A HaemAtlas: characterizing gene expression in differentiated human blood cells.
A HaemAtlas: characterizing gene expression in differentiated human blood cells.
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DOI：
10.1182/blood-2008-06-162958
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发表时间：
2009-05-07
期刊：
影响因子：
20.3
通讯作者：
Bloodomics Consortium
中科院分区：
文献类型：
--
作者：
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;Göttgens B;Ouwehand WH;Bloodomics Consortium
造血是一个受到严格控制的过程，受转录因子复杂网络的调控，部分受配体与细胞表面受体结合产生的信号控制。为了进一步了解造血功能，我们使用全基因组微阵列比较了人类红母细胞、巨核细胞、B细胞、细胞毒性和辅助T细胞、自然杀伤细胞、粒细胞和单核细胞的基因表达谱。对这些数据进行了生物信息学分析，重点关注转录因子、免疫球蛋白超家族成员和谱系特异性转录物。我们观察到谱系特异性基因的数量变化了2个数量级，从细胞毒性T细胞的5个到粒细胞的878个不等。此外，我们还发现了参与造血的关键转录因子（例如GATA3-GFI1和GATA2-KLF1）的新共表达模式。这项研究代表了迄今为止对造血细胞中基因表达的最全面的分析，并确定了在谱系承诺和细胞功能中起关键作用的基因。这些数据可以免费获取，对于未来的造血研究和特定基因的作用将是无价的，也将有助于理解最近的全基因组关联研究。
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.
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Pfam：氏族、网络工具和服务。
影响因子：
14.9
作者：
Finn, Robert D.;Mistry, Jaina;Schuster-Bockler, Benjamin;Griffiths-Jones, Sam;Hollich, Volker;Lassmann, Timo;Moxon, Simon;Marshall, Mhairi;Khanna, Ajay;Durbin, Richard;Eddy, Sean R.;Sonnhammer, Erik L. L.;Bateman, Alex
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1.2
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通讯作者：
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影响因子：
3.5
作者：
MacFadyen, JR;Haworth, O;Isacke, CM
通讯作者：
Isacke, CM