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Autophagy and Tumor Database: ATdb, a novel database connecting autophagy and tumor.
Database: The Journal of Biological Databases and Curation ( IF 3.4 ) Pub Date : 2020-07-07 , DOI: 10.1093/database/baaa052
Kelie Chen 1 , Dexin Yang 1 , Fan Zhao 1 , Shengchao Wang 2 , Yao Ye 3 , Wenjie Sun 4 , Haohua Lu 1 , Zhi Ruan 5 , Jinming Xu 6 , Tianru Wang 7 , Guang Lu 8 , Liming Wang 8 , Yu Shi 9 , Honghe Zhang 4 , Han Wu 10 , Weiguo Lu 2 , Han-Ming Shen 8, 11 , Dajing Xia 1 , Yihua Wu 1
Affiliation  

Autophagy is an essential cellular process that is closely implicated in diverse pathophysiological processes and a variety of human diseases, especially tumors. Autophagy is regarded as not only an anti-cancer process in tumorigenesis but also a pro-tumor process in progression and metastasis according to current research. It means the role of autophagy in tumor is considered to be complex, controversial and context dependent. Hence, a comprehensive database is of great significance to obtain an in-depth understanding of such complex correlations between autophagy and tumor. To achieve this objective, here we developed the Autophagy and Tumor Database (named as ATdb, http://www.bigzju.com/ATdb/#/) to compile the published information concerning autophagy and tumor research. ATdb connected 25 types of tumors with 137 genes required for autophagy-related pathways, containing 219 population filters, 2650 hazard ratio trend plots, 658 interacting microRNAs, 266 interacting long non-coding RNAs, 155 post-translational modifications, 298 DNA methylation records, 331 animal models and 70 clinical trials. ATdb could enable users to search, browse, download and carry out efficient online analysis. For instance, users can make prediction of autophagy gene regulators in a context-dependent manner and in a precise subpopulation and tumor subtypes. Also, it is feasible in ATdb to cluster tumors into distinguished groups based on the gene-related long non-coding RNAs to gain novel insights into their potential functional implications. Thus, ATdb offers a powerful online database for the autophagy community to explore the complex world of autophagy and tumor.

中文翻译:

自噬与肿瘤数据库:ATdb,一个连接自噬和肿瘤的新型数据库。

自噬是一种重要的细胞过程,与多种病理生理过程和多种人类疾病,特别是肿瘤密切相关。根据目前的研究,自噬不仅被认为是肿瘤发生中的抗癌过程,而且被认为是进展和转移中的促肿瘤过程。这意味着自噬在肿瘤中的作用被认为是复杂的、有争议的并且依赖于背景。因此,一个全面的数据库对于深入了解自噬与肿瘤之间复杂的相关性具有重要意义。为了实现这一目标,我们开发了自噬和肿瘤数据库(命名为ATdb,http://www.bigzju.com/ATdb/#/)来整理已发表的有关自噬和肿瘤研究的信息。ATdb连接了25种肿瘤与自噬相关通路所需的137个基因,包含219个群体过滤器、2650个风险比趋势图、658个相互作用的microRNA、266个相互作用的长非编码RNA、155个翻译后修饰、298个DNA甲基化记录, 331个动物模型和70个临床试验。ATdb可以让用户搜索、浏览、下载并进行高效的在线分析。例如,用户可以以上下文相关的方式在精确的亚群和肿瘤亚型中预测自噬基因调节因子。此外,ATdb 还可以根据基因相关的长非编码 RNA 将肿瘤分为不同的组,以获得对其潜在功能影响的新见解。因此,ATdb 为自噬界提供了一个强大的在线数据库,以探索自噬和肿瘤的复杂世界。
更新日期:2020-07-08
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