通过DO-MS对DIA质谱的数据驱动优化
Georg Wallmann1, Andrew Leduc1, Nikolai Slavov1,2
1Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, Massachusetts 02115, United States.
Journal of proteome research
|September 11, 2023
概括
我们开发了DO-MS v2.0,这是一个数据驱动的工具,用于优化质谱 (MS) 方法的数据独立采集 (DIA) 和单细胞蛋白质组学. 该框架提高了大规模蛋白质组研究的蛋白质量测定准确度和数据质量.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 质谱法 (MS) 对于蛋白质量化至关重要,但对于大型数据集需要优化方法.
- 数据独立采集 (DIA) 提供高吞吐量和灵敏度,但需要有效的数据采集和质量控制.
- 单细胞蛋白质组学在数据采集和分析方面提出了独特的挑战.
研究的目的:
- 介绍DO-MS app v2.0,这是一个针对DIA的MS方法的数据驱动优化框架.
- 为了实现对无标签DIA,多重DIA (plexDIA) 和单细胞蛋白质组学至关重要的参数的优化.
- 为大规模蛋白质组数据集提供有效的质量控制和评估工具.
主要方法:
- 开发DO-MS app v2.0框架,以优化MS数据采集.
- 框架的应用以优化工作周期,分离和调查扫描参数.
- 使用DO-MS进行单细胞plexDIA数据的质量控制.
- 交互式数据可视化和自动报告生成.
主要成果:
- DO-MS v2.0 促进了对无标签和多重复合 DIA (plexDIA) 的优化.
- 该框架支持针对单细胞蛋白质组学应用的特定优化.
- 已证明的使用案例包括优化工作周期,分离和调查扫描号码.
- 启用了交互式数据显示和生成可共享的质量报告.
结论:
- DO-MS v2.0 是优化 DIA 质谱法的一种有价值的工具.
- 该框架提高了蛋白质量化的准确性和大规模蛋白质组学的数据质量.
- DO-MS v2.0增强了MS在单细胞蛋白质组学研究中的潜力.
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