Ritz Danilo, Kinzi Jonny, Neri Dario, Fugmann Tim
Philochem AG, Otelfingen, Switzerland.
Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Proteomics. 2017 Oct;17(19). doi: 10.1002/pmic.201700177.
The characterization of peptides presented by human leukocyte antigen (HLA) class I molecules is crucial for understanding immune processes, biomarker discovery, and the development of novel immunotherapies or vaccines. Mass spectrometry allows the direct identification of thousands of HLA-bound peptides from cell lines, blood, or tissue. In recent years, data-independent acquisition (DIA) mass spectrometry methods have evolved, promising to increase reproducibility and sensitivity over classical data-dependent acquisition (DDA) workflows. Here, we describe a DIA setup on the Q Exactive mass spectrometer, optimized regarding the unique properties of HLA class I peptides. The methodology enables sensitive and highly reproducible characterization of HLA peptidomes from individual cell lines. From up to 16 DDA analyses of 100 million human cells, more than 10 000 peptides could be confidently identified, serving as basis for the generation of spectral libraries. This knowledge enabled the subsequent interrogation of DIA data, leading to the identification of peptide sets with >90% overlap between replicate samples, a prerequisite for the comparative study of closely related specimens. Furthermore, >3000 peptides could be identified from just one million cells after DIA analysis using a library generated from 300 million cells. The reduction in sample quantity and the high reproducibility of DIA-based HLA peptidome analysis should facilitate personalized medicine applications.
人类白细胞抗原(HLA)I类分子呈递的肽段的表征对于理解免疫过程、生物标志物发现以及新型免疫疗法或疫苗的开发至关重要。质谱分析能够直接从细胞系、血液或组织中鉴定出数千种与HLA结合的肽段。近年来,数据非依赖采集(DIA)质谱方法不断发展,有望比传统的数据依赖采集(DDA)工作流程具有更高的重现性和灵敏度。在此,我们描述了一种在Q Exactive质谱仪上的DIA设置,该设置针对HLA I类肽段的独特性质进行了优化。该方法能够灵敏且高度可重复地表征来自单个细胞系的HLA肽组。通过对1亿个人类细胞进行多达16次DDA分析,可以可靠地鉴定出10000多种肽段,这些肽段可作为生成谱库的基础。这些知识使得后续能够对DIA数据进行查询,从而鉴定出重复样本之间重叠率>90%的肽段集,这是对密切相关样本进行比较研究的前提条件。此外,使用由3亿个细胞生成的谱库进行DIA分析后,仅从100万个细胞中就可以鉴定出>3000种肽段。基于DIA的HLA肽组分析中样本量的减少和高重现性应会促进个性化医疗应用。