当前位置: X-MOL 学术Database J. Biol. Databases Curation › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
FerrDb: a manually curated resource for regulators and markers of ferroptosis and ferroptosis-disease associations.
Database: The Journal of Biological Databases and Curation ( IF 3.4 ) Pub Date : 2020-01-01 , DOI: 10.1093/database/baaa021
Nan Zhou 1, 2, 3 , Jinku Bao 4
Affiliation  

Ferroptosis is a mode of regulated cell death that depends on iron. Cells die from the toxic accumulation of lipid reactive oxygen species. Ferroptosis is tightly linked to a variety of human diseases, such as cancers and degenerative diseases. The ferroptotic process is complicated and consists of a wide range of metabolites and biomolecules. Although great progress has been achieved, the mechanism of ferroptosis remains enigmatic. We have currently entered an era of extensive knowledge advancement, and thus, it is important to find ways to organize and utilize data efficiently. We have observed a high-quality knowledge base of ferroptosis research is lacking. In this study, we downloaded 784 ferroptosis articles from the PubMed database. Ferroptosis regulators and markers and associated diseases were extracted from these articles and annotated. In summary, 253 regulators (including 108 drivers, 69 suppressors, 35 inducers and 41 inhibitors), 111 markers and 95 ferroptosis-disease associations were found. We then developed FerrDb, the first manually curated database for regulators and markers of ferroptosis and ferroptosis-disease associations. The database has a user-friendly interface, and it will be updated every 6 months to offer long-term service. FerrDb is expected to help researchers acquire insights into ferroptosis. Database URL: http://www.zhounan.org/ferrdb.

中文翻译:

FerrDb:人工策划的资源,用于调节和鉴定铁杆虫病和铁杆虫病-疾病关联。

Ferroptosis是一种依赖铁的调节性细胞死亡方式。细胞死于脂质活性氧物质的有毒积累。Ferroptosis与多种人类疾病(例如癌症和退化性疾病)紧密相关。Ferroptotic过程很复杂,由多种代谢物和生物分子组成。尽管已经取得了很大的进步,但是肥大症的发病机制仍然是个谜。当前,我们已经进入了知识广泛发展的时代,因此,找到有效组织和利用数据的方法非常重要。我们已经观察到缺乏高质量的有关铁锈病研究的知识基础。在这项研究中,我们从PubMed数据库下载了784篇关于肥大病的文章。从这些文章中提取并修改了受精症调节剂和标记物以及相关疾病。总之,发现了253个调控因子(包括108个驱动因子,69个抑制因子,35个诱导因子和41个抑制剂),111个标记和95个肥大病-疾病关联。然后,我们开发了FerrDb,这是第一个手动管理的数据库,用于管理和调控着肥大病和肥大病-疾病相关性。该数据库具有用户友好的界面,它将每6个月进行更新以提供长期服务。预计FerrDb将帮助研究人员获得有关肥大症的见解。数据库URL:http://www.zhounan.org/ferrdb。该数据库具有用户友好的界面,它将每6个月进行更新以提供长期服务。预计FerrDb将帮助研究人员获得有关肥大症的见解。数据库URL:http://www.zhounan.org/ferrdb。该数据库具有用户友好的界面,它将每6个月进行更新以提供长期服务。预计FerrDb将帮助研究人员获得有关肥大症的见解。数据库URL:http://www.zhounan.org/ferrdb。
更新日期:2020-04-17
down
wechat
bug