使用数据独立采集的质谱进行定量化蛋白质分析
Fan Yang1, Guogeng Jia1, Jiuzhou Guo2
1Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Journal of the American Chemical Society
|January 5, 2022
概括
我们开发了DIA-ABPP, 一种无标签的方法, 结合了数据独立的质谱与基于活动的蛋白质分析. 这种方法使化学蛋白质学能够进行可复制,准确和高吞吐量量化.
科学领域:
- 生物化学
- 蛋白质组学
- 化学生物学
背景情况:
- 基于活动的蛋白质分析 (ABPP) 对于了解蛋白质功能和确定药物点至关重要.
- 目前的ABPP方法在高通量选中面临限制,原因是数据依赖获取和昂贵的试剂.
研究的目的:
- 开发一种高产量分析的高效,无标签的定量化学蛋白质学方法.
- 克服现有的ABPP技术在多维研究中的局限性.
主要方法:
- 综合数据独立采集 (DIA) 质谱与基于活动的蛋白质分析 (ABPP).
- 开发了一种名为DIA-ABPP的新方法,用于无标签的量化.
- 应用DIA-ABPP来分析功能性囊瘤.
主要成果:
- 实现了良好的可复制性和高精度的量化.
- 证明了高吞吐量量化能力.
- 成功分析了对代谢物的囊敏感性,选了可结合的囊,并分析了昼夜囊瘤的波动.
结论:
- DIA-ABPP为无标签的定量化学蛋白质提供了一个高效和强大的平台.
- 这种方法增强了ABPP的深入蛋白质和小分子相互作用分析的范围.
- 开辟了多维功能蛋白质组分析的新途径.
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