图1. ADEIP的界面和开发流程
南湖新闻网讯（通讯员|陈文博 审核人|何春江）近日，Briefings in Bioinformatics 在线发表了太阳集团成、生物医学与健康学院何春江课题组最新研究成果，该研究搭建了一个平台ADEIP，用于展示和检索年龄相关的基因表达和免疫图谱。
ADEIP包括来自GTEx计划中30个主要人体组织超过16000个样本的基因表达数据，这些样本来的年龄范围在20-80岁之间的捐赠者。该研究对不同年龄组的差异表达基因和基因集、免疫相关基因和免疫细胞组成等几个方面进行了整合分析。同时对已知与SARS-CoV-2和人类间充质干细胞(hMSC)相关的基因进行了举例分析，展示了ADEIP的相关应用。作为一个比较全面的平台，ADEIP可用于研究与衰老相关的表达和跨组织的免疫地图，有助于了解与年龄相关的传染病或遗传疾病的机制，从而开发个性化的治疗方案。
太阳集团成研究生刘旋和武汉大学基础医学院陈文博为该论文共同第一作者，太阳集团成、生物医学与健康学院何春江教授，德州农工大学韩冷教授和华中农业老员工物医学与健康学院董志强教授为共同通讯作者，太阳集团成章文教授参与研究。
英文摘要：
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.
全文链接：
https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bbab274/6319933