基于MS的蛋白质组学数据的功能分析:从蛋白质组到网络
Marie Locard-Paulet1, Nadezhda T Doncheva2, John H Morris3
1Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark; Institut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, Université Toulouse III-Paul Sabatier (UT3), Toulouse, France; Infrastructure nationale de protéomique, ProFI, FR 2048, Toulouse, France.
Molecular & cellular proteomics : MCP
|November 1, 2024
概括
基于质谱的蛋白质组学可以分组类似的蛋白质,影响网络分析. 蛋白质可视化器有助于在蛋白质组学数据中可视化和分析这些蛋白质组.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 基于质谱的蛋白质组学量化蛋白质,变体和修改.
- 区分具有相似序列的蛋白质是具有挑战性的,因为非特异性,导致蛋白质分组.
- 蛋白质组可以代表多个基因,使下游分析复杂化.
研究的目的:
- 研究多基因蛋白质组对基因本体学 (GO) 术语丰富和网络分析的影响.
- 引入一种用于可视化和分析使用蛋白质组的自下而上的质谱基蛋白质组学数据的工具.
主要方法:
- 从蛋白质组中进行单基因选择和不进行单基因选择的GO术语丰富的分析.
- 开发和应用Cytoscape应用程序的Proteo可视化器.
- 从STRING中检索蛋白质相互作用网络,使用蛋白质组作为输入.
主要成果:
- 多基因蛋白质组对GO-term丰富的影响最小.
- 每组只选择一个基因显著影响网络分析结果.
- 蛋白质可视化器 (Proteo Visualizer) 从蛋白质组学数据成功地可视化和分析蛋白质相互作用网络.
结论:
- 为了在蛋白质组学中准确进行网络分析,必须仔细考虑蛋白质的分组.
- 通过将蛋白质组与相互作用网络集成,Proteo Visualizer为分析复杂的蛋白质组学数据集提供了有价值的解决方案.
- 该工具促进了基于自下而上的质谱的蛋白质组学数据的强大网络分析.
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