Ritz Danilo, Gloger Andreas, Weide Benjamin, Garbe Claus, Neri Dario, Fugmann Tim
Philochem AG, Otelfingen, Switzerland.
Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Proteomics. 2016 May;16(10):1570-80. doi: 10.1002/pmic.201500445.
The characterization of peptides bound to human leukocyte antigen (HLA) class I is of fundamental importance for understanding CD8+ T cell-driven immunological processes and for the development of immunomodulatory therapeutic strategies. However, until now, the mass spectrometric analysis of HLA-bound peptides has typically required billions of cells, still resulting in relatively few high-confidence peptide identifications. Capitalizing on the recent developments in mass spectrometry and bioinformatics, we have implemented a methodology for the efficient recovery of acid-eluted HLA peptides after purification with the pan-reactive antibody W6/32 and have identified a total of 27 862 unique peptides with high confidence (1% false discovery rate) from five human cancer cell lines. More than 93% of the identified peptides were eight to 11 amino acids in length and contained signatures that were in excellent agreement with published HLA binding motifs. Furthermore, by purifying soluble HLA class I complexes (sHLA) from sera of melanoma patients, up to 972 high-confidence peptides could be identified, including melanoma-associated antigens already described in the literature. Knowledge of the HLA class I peptidome should facilitate multiplex tetramer technology-based characterization of T cells, and allow the development of patient selection, stratification and immunomodulatory therapeutic strategies.
对与人类白细胞抗原(HLA)I类分子结合的肽段进行表征,对于理解CD8 + T细胞驱动的免疫过程以及免疫调节治疗策略的开发至关重要。然而,到目前为止,对与HLA结合的肽段进行质谱分析通常需要数十亿个细胞,最终得到的高可信度肽段鉴定结果仍然相对较少。利用质谱和生物信息学的最新进展,我们实施了一种方法,在用泛反应性抗体W6/32纯化后高效回收酸洗脱的HLA肽段,并从五种人类癌细胞系中高可信度地(错误发现率为1%)鉴定出总共27862种独特的肽段。超过93%的已鉴定肽段长度为8至11个氨基酸,并含有与已发表的HLA结合基序高度一致的特征。此外,通过从黑色素瘤患者血清中纯化可溶性HLA I类复合物(sHLA),可以鉴定出多达972种高可信度的肽段,包括文献中已经描述的黑色素瘤相关抗原。了解HLA I类肽组应有助于基于多聚四聚体技术对T细胞进行表征,并有助于开发患者选择、分层和免疫调节治疗策略。