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首页> 外文期刊>The journal of immunology >Identification of T Cell-Restricted Genes, and Signatures for Different T Cell Responses, Using a Comprehensive Collection of Microarray Datasets
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Identification of T Cell-Restricted Genes, and Signatures for Different T Cell Responses, Using a Comprehensive Collection of Microarray Datasets

机译：使用微阵列数据集的全面收集，鉴定T细胞限制性基因和不同T细胞反应的特征

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We used a comprehensive collection of Affymetrix microarray datasets to ascertain which genes or molecules distinguish the known major subsets of human T cells. Our strategy allowed us to identify the genes expressed in most T cell subsets: TCR αβ+ and γδ+, three effector subsets (Th1, Th2, and T follicular helper cells), T central memory, T effector memory, activated T cells, and others. Our genechip dataset also allowed for identification of genes preferentially or exclusively expressed by T cells, compared with numerous non-T cell leukocyte subsets profiled. Cross-comparisons between microarray datasets revealed important features of certain subsets. For instance, blood γδ T cells expressed no unique gene transcripts, but did differ from αβ T cells in numerous genes that were down-regulated. Hierarchical clustering of all the genes differentially expressed between T cell subsets enabled the identification of precise signatures. Moreover, the different T cell subsets could be distinguished at the level of gene expression by a smaller subset of predictor genes, most of which have not previously been associated directly with any of the individual subsets. T cell activation had the greatest influence on gene regulation, whereas central and effector memory T cells displayed surprisingly similar gene expression profiles. Knowledge of the patterns of gene expression that underlie fundamental T cell activities, such as activation, various effector functions, and immunological memory, provide the basis for a better understanding of T cells and their role in immune defense.
机译：我们使用了Affymetrix微阵列数据集的全面收集来确定哪些基因或分子区分了人类T细胞的已知主要子集。我们的策略使我们能够鉴定在大多数T细胞亚群中表达的基因：TCRαβ+和γδ+，三个效应子集（Th1，Th2和T滤泡辅助细胞），T中枢记忆，T效应记忆，活化的T细胞和其他。与分析的许多非T细胞白细胞亚群相比，我们的基因芯片数据集还允许鉴定优先或专门由T细胞表达的基因。微阵列数据集之间的交叉比较揭示了某些子集的重要特征。例如，血液γδT细胞没有表达独特的基因转录物，但是在许多被下调的基因中却与αβT细胞有所不同。 T细胞亚群之间差异表达的所有基因的层次聚类使得能够鉴定精确的特征。而且，不同的T细胞亚群可以在基因表达水平上通过较小的预测基因子集加以区分，其中大多数预测子基因以前并未与任何单个子集直接相关。 T细胞活化对基因调控的影响最大，而中枢和效应记忆T细胞显示出惊人的相似基因表达谱。对基本的T细胞活动（例如激活，各种效应子功能和免疫记忆）基础的基因表达模式的了解，为更好地了解T细胞及其在免疫防御中的作用提供了基础。

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