Gene expression and immune status in human tissues are changed with aging. There is a need to develop a comprehensive platform to explore the dynamics of age-related gene expression and immune profiles across tissues in genome-wide studies. Here, we collected RNA-Seq datasets from GTEx project, containing 16 704 samples from 30 major tissues in six age groups ranging from 20 to 79 years old. Dynamic gene expression along with aging were depicted and gene set enrichment analysis was performed among those age groups. Genes from 34 known immune function categories and immune cell compositions were investigated and compared among different age groups. Finally, we integrated all the results and developed a platform named ADEIP (http://gb.whu.edu.cn/ADEIP or http://geneyun.net/ADEIP), integrating the age-dependent gene expression and immune profiles across tissues. To demonstrate the usage of ADEIP, we applied two datasets: severe acute respiratory syndrome coronavirus 2 and human mesenchymal stem cells-assoicated genes. We also included the expression and immune dynamics of these genes in the platform. Collectively, ADEIP is a powerful platform for studying age-related immune regulation in organogenesis and other infectious or genetic diseases.

中文翻译：

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ADEIP：跨人体组织的年龄依赖性表达和免疫谱的集成平台

人体组织中的基因表达和免疫状态随着衰老而改变。需要开发一个综合平台来探索全基因组研究中跨组织的年龄相关基因表达和免疫谱的动态。在这里，我们收集了 GTEx 项目的 RNA-Seq 数据集，包含来自 20 至 79 岁六个年龄组的 30 个主要组织的 16 704 个样本。描述了随着衰老的动态基因表达，并在这些年龄组中进行了基因集富集分析。研究人员对来自 34 种已知免疫功能类别和免疫细胞组成的基因进行了研究，并在不同年龄组之间进行了比较。最后，我们整合了所有结果并开发了一个名为 ADEIP 的平台（http://gb.whu.edu.cn/ADEIP 或 http://geneyun.net/ADEIP），整合了跨年龄相关的基因表达和免疫特征。组织。为了演示 ADEIP 的用法，我们应用了两个数据集：严重急性呼吸综合征冠状病毒 2 和人类间充质干细胞相关基因。我们还在平台中纳入了这些基因的表达和免疫动态。总的来说，ADEIP 是一个强大的平台，用于研究器官发生和其他传染病或遗传疾病中与年龄相关的免疫调节。