查询数据独立获取LC-MS/MS的亲和性蛋白质组学
David L Tabb1, Mohammed Hanzala Kaniyar1, Omar G Rosas Bringas1
1European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, The Netherlands.
概括
数据独立获取 (DIA) 与质谱学 (LC-MS/MS) 结合,为亲和性蛋白质组学提供了更好的蛋白质量化. 与数据依赖获取 (DDA) 相比,DIA工作流,特别是使用FragPipe时,可以增强蛋白质检测并减少变化.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 生物化学 生物化学
- 分析化学 分析化学
背景情况:
- 数据独立获取 (DIA) LC-MS/MS是一种用于亲和蛋白质组学和共免疫沉 (co-IP) 的强大技术.
- 与数据依赖获取 (DDA) 相比,减少DIA中的量化变异性可以改善特定蛋白质相互作用者的检测.
研究的目的:
- 在不同仪器制造商和生物信息工作流程中评估DIA实验中的光谱库,蛋白质数量缺失和变化系数 (CV).
- 为了比较DIA与DDA的性能,用于亲和蛋白质组学应用.
主要方法:
- 从六项使用DDA和DIA实验的研究中对亲和蛋白质的质疑.
- 对四个当代DIA生物信息工作流程的分析:FragPipe,DIA-NN,Spectronaut和MaxQuant.
- 评估光谱库生成,蛋白质定量和CV值.
主要成果:
- 直接从DIA实验中生成的光谱库是有效的,与DDA的同等仪器时间相比.
- 当代软件可能在实验中难以量化模糊的信号,例如模拟下拉或IgG控制.
- 谱卫队,DIA-NN和FragPipe展示了对蛋白质量定量的控制良好的CV值.
- 在DIA中使用FragPipe进行光谱图书馆构建和量化,超过DDA,产生更多量化的蛋白质和较低的CVs.
结论:
- DIA-LC-MS/MS是一种强大的亲和性蛋白质组学方法,在蛋白质量化和检测方面比DDA具有优势.
- 优化的DIA生物信息工作流程,如FragPipe,可以显著提高蛋白质组分析的深度和可靠性.
- 需要仔细的实验设计来管理控制实验中的模糊信号,以获得准确的蛋白质组概况.
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