Key Laboratory of the State Ministry of Education for Bio-Resources and Ecologic Environment, College of Life Sciences, Sichuan University, 29 Wangjiang Rd, Chengdu 610064, China.
Research Center, The Affiliated Brain Hospital, Guangzhou Medical University, 36 Mingxin Rd, Guangzhou 510000, China.
Database (Oxford). 2024 Aug 30;2024. doi: 10.1093/database/baae077.
The field of understanding the association between genes and diseases is rapidly expanding, making it challenging for researchers to keep up with the influx of new publications and genetic datasets. Fortunately, there are now several regularly updated databases available that focus on cataloging gene-disease relationships. The development of the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas9 system has revolutionized the field of gene editing, providing a highly efficient, accurate, and reliable method for exploring gene-disease associations. However, currently, there is no resource specifically dedicated to collecting and integrating the latest experimentally supported gene-disease association data derived from genome-wide CRISPR screening. To address this gap, we have developed the CRISPR-Based Gene-Disease Associations (CBGDA) database, which includes over 200 manually curated gene-disease association data derived from genome-wide CRISPR screening studies. Through CBGDA, users can explore gene-disease association data derived from genome-wide CRISPR screening, gaining insights into the expression patterns of genes in different diseases, associated chemical data, and variant information. This provides a novel perspective on understanding the associations between genes and diseases. What is more, CBGDA integrates data from several other databases and resources, enhancing its comprehensiveness and utility. In summary, CBGDA offers a fresh perspective and comprehensive insights into the research on gene-disease associations. It fills the gap by providing a dedicated resource for accessing up-to-date, experimentally supported gene-disease association data derived from genome-wide CRISPR screening. Database URL: http://cbgda.zhounan.org/main.
理解基因与疾病之间关联的领域正在迅速扩展，这使得研究人员难以跟上新发表的文献和新的遗传数据集的涌入。幸运的是，现在有几个定期更新的数据库专门用于编目基因-疾病关系。CRISPR-Cas9 系统的发展彻底改变了基因编辑领域，为探索基因-疾病关联提供了一种高效、准确和可靠的方法。然而，目前还没有专门的资源用于收集和整合来自全基因组 CRISPR 筛选的最新实验支持的基因-疾病关联数据。为了解决这一差距，我们开发了基于 CRISPR 的基因-疾病关联 (CBGDA) 数据库，其中包含了 200 多条手动整理的来自全基因组 CRISPR 筛选研究的基因-疾病关联数据。通过 CBGDA，用户可以探索来自全基因组 CRISPR 筛选的基因-疾病关联数据，深入了解不同疾病中基因的表达模式、相关化学数据和变异信息。这为理解基因和疾病之间的关联提供了新的视角。此外，CBGDA 整合了来自其他几个数据库和资源的数据，增强了其全面性和实用性。总之，CBGDA 为基因-疾病关联研究提供了一个全新的视角和全面的见解。它通过提供一个专门的资源来访问最新的、来自全基因组 CRISPR 筛选的实验支持的基因-疾病关联数据，填补了这一空白。数据库网址：http://cbgda.zhounan.org/main.
