高覆盖率的免疫组学使用时间TOF 质谱仪与雷声-DDA-PASEF 增强的MS2 挽救
David Gomez-Zepeda1,2, Julian Beyrle3,4, Annica Preikschat5
1Helmholtz Institute for Translational Oncology Mainz (HI-TRON Mainz) - A Helmholtz Institute of the DKFZ, Mainz, Germany. david.gomez-zepeda@dkfz-heidelberg.de.
Methods in molecular biology (Clifton, N.J.)
|October 14, 2025
概括
这项研究详细介绍了一种优化的免疫体学工作流程,用于识别主要基因相容性复合体 (MHC) 配体. 该方法增强了对潜在免疫疗法的免疫的深度覆盖.
科学领域:
- 免疫学 免疫学 免疫学
- 蛋白质组学是指蛋白质组学.
- 质谱测量质量谱测量
背景情况:
- 主要基因相容性复合体 (MHC) 联体对免疫反应至关重要,可以作为免疫疗法的向.
- 识别这些配体是开发治疗癌症和病毒感染等疾病的关键.
- 液体染色学与质谱学 (LC-MS) 结合,是MHC连体鉴定的标准.
研究的目的:
- 描述一个详细的,逐步的工作流程,深度覆盖免疫学.
- 为全面的MHC连体体鉴定提供一个优化的方法.
- 为了验证一个强大的 immunopeptide 发现工作流.
主要方法:
- 高恢复性免疫组丰富剂.
- 在 timsTOF Pro 仪器上使用雷数据依赖采集与并行积累-序列碎片 (雷-DDA-PASEF) 的优化质谱 (MS) 采集.
- 通过PEAKS XPro软件进行体识别,并使用MS2Rescore数据驱动的恢复功能进行增强.
主要成果:
- 该工作流允许识别每个细胞系超过10,000个MHC I类配体.
- 描述的过程确保了免疫组的深度覆盖.
- 该方法整合了样本准备,MS获取和数据分析,以进行可靠的识别.
结论:
- 提出的工作流提供了一个全面的方法,深度免疫学.
- 这种优化的方法有助于发现疾病特异性免疫,用于治疗开发.
- 工作流程经过验证,可用于可靠和广泛的MHC连接体识别.
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