关于糖尿病的知识图数据集:一个系统生物学方法
Rauf Ahmed Shams Malick1, Siraj Munir2, Syed Imran Jami3
1Department of Computer Science, National University of Computer and Emerging Sciences, Karachi, Pakistan.
Data in brief
|January 31, 2024
概括
本研究引入了2型糖尿病 (T2D) 的多层知识图,以探索基因网络. DbKB可视化了调节基因和功能基因之间的关系,有助于理解T2D复杂性.
科学领域:
- 基因组学和生物信息学
- 系统生物学 系统生物学
- 代谢疾病 代谢疾病
背景情况:
- 糖尿病是一种广泛的疾病,影响着全球数百万人.
- 识别关键基因对于理解糖尿病病原体至关重要.
- 2型糖尿病 (T2D) 涉及复杂的遗传和分子相互作用.
研究的目的:
- 开发一个多层知识图 (DbKB) 用于可视化和查询与糖尿病相关的生物网络.
- 在T2D中识别调节基因,功能基因和蛋白质-蛋白质相互作用.
- 为了促进研究T2D候选基因之间的相互作用.
主要方法:
- 基于糖尿病多层网络模型 (MSNMD) 的多层知识图 (DbKB) 的构建.
- 基因调节网络和蛋白质与蛋白质相互作用网络的整合.
- 从TRRUST数据库中识别调控基因和参与T2D的功能基因.
主要成果:
- DbKB集成了T2D的遗传,分子和监管信息.
- 在第一层确定了875个调节性转录因子,在第二层确定了550个调节性基因.
- 促进了涉及调节性和功能性基因的交互驱动子网络的识别.
结论:
- 开发的知识图为分析复杂的T2D网络提供了一种新的方法.
- DbKB能够更深入地了解糖尿病中的基因调节和蛋白质相互作用.
- 这个工具有助于仔细检查T2D候选基因和了解疾病机制.
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