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TIDB: a comprehensive database of trained immunity
Database: The Journal of Biological Databases and Curation ( IF 5.8 ) Pub Date : 2021-06-25 , DOI: 10.1093/database/baab041
Yang Cao 1 , Qingyang Dong 1 , Dan Wang 2 , Ying Liu 1 , Pengcheng Zhang 1 , Xiaobo Yu 2 , Chao Niu 1
Affiliation  

Trained immunity is a newly emerging concept that defines the ability of the innate immune system to form immune memory and provide long-lasting protection against previously encountered antigens. Accumulating evidence reveals that trained immunity not only has broad benefits to host defense but is also harmful to the host in chronic inflammatory diseases. However, all trained immunity-related information is scattered in the literature and thus is difficult to access. Here, we describe Trained Immunity DataBase (TIDB), a comprehensive database that provides well-studied trained immunity-related genes from human, rat and mouse as well as the related literature evidence. Moreover, TIDB also provides three modules to analyze the function of the trained-immunity-related genes of interest, including Reactome pathway over-representation analysis, Gene Ontology enrichment analysis and protein–protein interaction subnetwork reconstruction. We believe TIDB will help developing valuable strategies for vaccine design and immune-mediated disease therapy. Database URL: http://www.ieom-tm.com/tidb

中文翻译:

TIDB:训练有素的免疫综合数据库

训练有素的免疫是一个新兴的概念,它定义了先天免疫系统形成免疫记忆并针对先前遇到的抗原提供持久保护的能力。越来越多的证据表明,训练有素的免疫力不仅对宿主防御有广泛的好处,而且对慢性炎症性疾病的宿主也有害。然而,所有经过培训的免疫相关信息都分散在文献中,因此难以获取。在这里,我们描述了受过训练的免疫数据库 (TIDB),这是一个综合数据库,提供来自人类、大鼠和小鼠的经过充分研究的受过训练的免疫相关基因以及相关文献证据。此外,TIDB 还提供了三个模块来分析经过训练的免疫相关基因的功能,包括 Reactome 通路过度表示分析,基因本体富集分析和蛋白质-蛋白质相互作用子网重建。我们相信 TIDB 将有助于为疫苗设计和免疫介导的疾病治疗制定有价值的策略。数据库网址:http://www.ieom-tm.com/tidb
更新日期:2021-06-25
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