Abbas A R, Baldwin D, Ma Y, Ouyang W, Gurney A, Martin F, Fong S, van Lookeren Campagne M, Godowski P, Williams P M, Chan A C, Clark H F
Department of Bioinformatics, Genentech, Inc., South San Francisco, CA 94080, USA.
Genes Immun. 2005 Jun;6(4):319-31. doi: 10.1038/sj.gene.6364173.
Immune cell-specific expression is one indication of the importance of a gene's role in the immune response. We have compiled a compendium of microarray expression data for virtually all human genes from six key immune cell types and their activated and differentiated states. Immune Response In Silico (IRIS) is a collection of genes that have been selected for specific expression in immune cells. The expression pattern of IRIS genes recapitulates the phylogeny of immune cells in terms of the lineages of their differentiation. Gene Ontology assignments for IRIS genes reveal significant involvement in inflammation and immunity. Genes encoding CD antigens, cytokines, integrins and many other gene families playing key roles in the immune response are highly represented. IRIS also includes proteins of unknown function and expressed sequence tags that may not represent genes. The predicted cellular localization of IRIS proteins is evenly distributed between cell surface and intracellular compartments, indicating that immune specificity is important at many points in the signaling pathways of the immune response. IRIS provides a resource for further investigation into the function of the immune system and immune diseases.
免疫细胞特异性表达是一个基因在免疫反应中作用重要性的一种体现。我们已经汇编了来自六种关键免疫细胞类型及其激活和分化状态的几乎所有人类基因的微阵列表达数据纲要。免疫反应计算机模拟(IRIS)是一组已被选择用于在免疫细胞中特异性表达的基因。IRIS基因的表达模式根据免疫细胞分化谱系概括了免疫细胞的系统发育。IRIS基因的基因本体分配显示其在炎症和免疫中显著参与。编码CD抗原、细胞因子、整合素以及在免疫反应中起关键作用的许多其他基因家族的基因高度富集。IRIS还包括功能未知的蛋白质和可能不代表基因的表达序列标签。IRIS蛋白质的预测细胞定位在细胞表面和细胞内区室之间均匀分布,表明免疫特异性在免疫反应信号通路的许多环节都很重要。IRIS为进一步研究免疫系统功能和免疫疾病提供了一个资源。