msqrob2PTM:基于MS的蛋白质组学数据在翻译后修饰和形水平上的差异丰度和差异使用分析
Nina Demeulemeester1, Marie Gébelin2, Lucas Caldi Gomes3
1VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium; Department of Biomolecular Medicine, Ghent University, Ghent, Belgium; Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
Molecular & cellular proteomics : MCP
|December 28, 2023
概括
新的msqrob2PTM工作流允许对蛋白质组学中的翻译后修饰 (PTM) 和形进行准确的统计分析. 它解决了量化PTM的挑战,并为生物发现提供了独特的形水平见解.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 生物化学 生物化学
- 计算生物学 计算生物学
背景情况:
- 基于LC-MS/MS的蛋白质组学的进步使得许多翻译后修饰 (PTM) 的检测成为可能.
- 在细胞增殖,迁移,转移和衰老等细胞过程中,PTMs起着至关重要的作用.
- 现有的统计方法在PTM级量化和差异分析方面落后,经常混PTM和蛋白质强度.
研究的目的:
- 开发一种新的计算工作流程,msqrob2PTM,用于对PTM和型的强大的差异丰度分析.
- 解决PTM量化中的统计挑战,特别是母蛋白丰度的混效应.
- 为了使PTM发现在形水平上得到验证,并区分差异性形丰度 (DPA) 和差异性形使用 (DPU).
主要方法:
- 开发了msqrob2PTM,这是msqrob2框架内的PTM和形分析的工作流程.
- 实施的方法直接建模的log2转化形强度的DPA.
- 纳入了一个规范化步骤来计算DPU的母蛋白强度相对于形强度的log2比.
主要成果:
- msqrob2PTM成功地在PTM和形水平上进行差异丰度分析.
- 工作流可以标记差异性形丰度 (DPA) 和差异性形使用 (DPU).
- 在基准和PTM丰富数据集上的性能评估表明msqrob2PTM与最先进的方法相匹配或超过.
结论:
- msqrob2PTM提供了一种独特而强大的解决方案,用于蛋白质组学中的PTM和形水平差分分析.
- 工作流程增强了研究PTM的统计学严谨性,这对于理解细胞通路至关重要.
- 提供有价值的形水平输出,有助于验证和解释PTM发现.
关键词:
不同的PTM分析.不同的丰度差异.不同形分析的差异化形分析.不同的使用差异.基于质谱的蛋白质组学.形可以通过形来形成.后翻译修改后的修改.蛋白质组学数据分析数据分析蛋白质组学软件 蛋白质组学软件更多相关视频
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