使用小质量范围和狭窄窗口数据独立获取方案的强大,精确和深度蛋白质组概况
Klemens Fröhlich1, Regula Furrer2, Christian Schori1
1Proteomics Core Facility, Biozentrum Basel, University of Basel, 4056 Basel, Switzerland.
Journal of proteome research
|January 26, 2024
概括
蛋白质组学新的一次性数据独立获取 (DIA) 方法提供了高定量精度和蛋白质组覆盖. 这种方法增强了复杂样本中低丰度蛋白质的分析,改善了骨肌肉蛋白质组的分析.
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
- 生物化学 生物化学
背景情况:
- 深度蛋白质组分析方法通常需要复杂的设置,并且具有有限的定量精度.
- 现有的数据独立获取 (DIA) 方法在蛋白质组覆盖和准确性方面存在局限性.
研究的目的:
- 开发一种易于使用的一次性DIA方法,以实现高定量精度和蛋白质组覆盖.
- 改进高动态范围样本中低丰度蛋白质的分析.
主要方法:
- 一个新的DIA策略,重点关注一个狭窄的质量范围 (430-670m/z) 与小的,不重叠的隔离窗口.
- 该方法应用于HEK细胞溶解物和小鼠骨肌肉蛋白质组分析.
主要成果:
- 在HEK溶解物中量化了9200多个蛋白质组,平均差异系数为3.2%.
- 与标准数据依赖采集和以前在小鼠骨肌中使用的DIA方法相比,蛋白质组覆盖率增加了一倍,定量精度显著提高.
结论:
- 开发的狭窄质量范围DIA方法提供了增强的蛋白质覆盖和定量精度.
- 这种方法特别有利于在高动态范围样本中量化低丰度蛋白质.
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