iTraNet:一个基于Web的平台,用于集成的跨电网网络可视化和分析
Hikaru Sugimoto1, Keigo Morita2,3, Dongzi Li2
1Department of Biochemistry and Molecular Biology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0033, Japan.
Bioinformatics advances
|October 23, 2024
概括
iTraNet可视化和分析转基因网络,整合基因调节,蛋白质-蛋白质相互作用和代谢数据. 这种工具揭示了野生类型和肥胖小鼠对葡萄糖的分子反应的差异.
科学领域:
- 系统生物学 系统生物学
- 生物信息学是一种生物信息学.
- 计算生物学是一种计算生物学.
背景情况:
- 了解生物系统依赖于分析各种分子网络,包括基因调节,蛋白质-蛋白质相互作用和代谢网络.
- 由于各种数据库和复杂的分析方法,分析这些网络是复杂的.
- 代谢网络涉及基质,产物和酶,受全调节和基因表达的影响.
研究的目的:
- 开发一个Web应用程序,iTraNet,用于可视化和分析集成的trans-omics网络.
- 通过网络分析,研究野生类型与肥胖 (ob/ob) 鼠对葡萄糖的分子反应的差异.
主要方法:
- 开发iTraNet,一个集基因调控,蛋白质与蛋白质相互作用,代谢和代谢物交换网络的网络应用程序.
- 应用iTraNet来分析来自野生类型和肥胖/肥胖小鼠的转基因数据.
- 对网络枢纽分子对葡萄糖的反应进行比较分析.
主要成果:
- iTraNet成功地可视化和分析集成的trans-omics网络.
- 在野生型小鼠中,关键网络分子对葡萄糖的管理做出了反应.
- 这种反应模式在ob/ob小鼠中不存在,这表明代谢调节发生了改变.
结论:
- iTraNet为研究人员探索复杂的生物网络提供了一个有价值的工具.
- 使用iTraNet的网络分析可以揭示生理反应的系统差异,例如与肥胖和葡萄糖代谢相关的.
- 这些发现突出了肥胖分子信号通路的潜在干扰.
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