KDASDB:用于脏疾病的替代拼接的全面和用户友好的数据库
Yalan Kuang1,2, Yilong Chen1,2, Yongsan Yang1,2
1West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Computational and structural biotechnology journal
|January 16, 2026
概括
一个新的数据库,KDASDB,在脏疾病中目录了超过9万个替代拼接事件 (ASE). 该资源有助于研究人员了解疾病机制并开发新的治疗方法.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 脏疾病对公众健康构成重大挑战.
- 替代拼接 (AS) 在病的发病过程中起着至关重要的作用.
- 目前还没有针对病相关的AS事件的全面数据库.
研究的目的:
- 为脏疾病和替代拼接事件 (ASE) 开发一个专门的数据库.
- 为探索AS模式及其在病中的生物学意义提供一个平台.
主要方法:
- 从2406个样本中整合了90,273个替代拼接事件 (ASE).
- 在人类和小鼠模型中涵盖了29种不同的病.
- 使用生物信息学方法识别了新的转录和ASE.
主要成果:
- 开发了病替代拼接数据库 (KDASDB).
- 该数据库包括52,478个新的人类转录和41,818个新的小鼠转录.
- 发现了3354种人类新型ASEs和5638种小鼠新型ASEs.
结论:
- KDASDB为研究病机制提供了宝贵的资源.
- 该数据库有助于在病研究中探索AS事件.
- KDASDB支持发现脏疾病的新疗法策略.
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