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diaTracer能够对diaPASEF蛋白质组学数据进行以频谱为中心的分析

Kai Li¹, Guo Ci Teo², Kevin L Yang¹

¹Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.

bioRxiv : the preprint server for biology

|June 10, 2024

概括

diaTracer通过从diaPASEF数据中直接识别和定量来增强数据独立获取 (DIA) 蛋白质组. 这种计算工具可以在各种生物样本和实验中提高精度和蛋白质深度.

科学领域:

蛋白质组学是指蛋白质组学.
质谱测量质量谱测量
计算生物学计算生物学

背景情况:

数据独立获取 (DIA) 对于和蛋白质量化至关重要.
离子移动性分离,就像diaPASEF一样,提高了DIA的准确性和深度.
现有的DIA工具可能无法充分利用3D数据 (m/z,RT,离子移动性).

研究的目的:

介绍diaTracer,一个用于diaPASEF数据分析的计算工具.
允许直接,无图书馆的识别和量化.
在各种蛋白质组学应用中展示diaTracer的实用性.

主要方法:

开发了diaTracer,用于以频谱为中心的3D峰值跟踪和特征检测.
为直接分析生成"伪MS/MS"光谱.
在FragPipe计算平台中集成diaTracer.

主要成果:

从各种diaPASEF数据集 (TNBC,CSF,血,蛋白质组,免疫蛋白质组,空间蛋白质组) 中成功识别和量化.
使用开放式搜索实现了翻译后修改的不受限制的识别.
证明了量化准确度和蛋白质深度的提高.

结论:

diaTracer提供了一种强大,直接的方法来分析diaPASEF数据.
该工具增强了的识别,量化和PTM分析.
diaTracer和FragPipe的集成简化了复杂的蛋白质组学工作流.

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