Di Marco Moreno, Schuster Heiko, Backert Linus, Ghosh Michael, Rammensee Hans-Georg, Stevanović Stefan
Department of Immunology, Institute for Cell Biology, University of Tübingen, 72076 Tübingen, Germany.
Immatics Biotechnologies GmbH, 72076 Tübingen, Germany; and.
J Immunol. 2017 Oct 15;199(8):2639-2651. doi: 10.4049/jimmunol.1700938. Epub 2017 Sep 13.
The classical HLA-C and the nonclassical HLA-E and HLA-G molecules play important roles both in the innate and adaptive immune system. Starting already during embryogenesis and continuing throughout our lives, these three Ags exert major functions in immune tolerance, defense against infections, and anticancer immune responses. Despite these important roles, identification and characterization of the peptides presented by these molecules has been lacking behind the more abundant HLA-A and HLA-B gene products. In this study, we elucidated the peptide specificities of these HLA molecules using a comprehensive analysis of naturally presented peptides. To that end, the 15 most frequently expressed HLA-C alleles as well as HLA-E01:01 and HLA-G01:01 were transfected into lymphoblastoid C1R cells expressing low endogenous HLA. Identification of naturally presented peptides was performed by immunoprecipitation of HLA and subsequent analysis of HLA-bound peptides by liquid chromatographic tandem mass spectrometry. Peptide motifs of HLA-C unveil anchors in position 2 or 3 with high variances between allotypes, and a less variable anchor at the C-terminal end. The previously reported small ligand repertoire of HLA-E was confirmed within our analysis, and we could show that HLA-G combines a large ligand repertoire with distinct features anchoring peptides at positions 3 and 9, supported by an auxiliary anchor in position 1 and preferred residues in positions 2 and 7. The wealth of HLA ligands resulted in prediction matrices for octa-, nona-, and decamers. Matrices were validated in terms of their binding prediction and compared with the latest NetMHC prediction algorithm NetMHCpan-3.0, which demonstrated their predictive power.
经典的HLA - C以及非经典的HLA - E和HLA - G分子在先天性和适应性免疫系统中均发挥着重要作用。从胚胎发育阶段开始并贯穿我们的一生,这三种抗原在免疫耐受、抗感染防御和抗癌免疫反应中发挥着主要功能。尽管具有这些重要作用,但与更为丰富的HLA - A和HLA - B基因产物相比,这些分子所呈递肽段的鉴定和表征一直滞后。在本研究中,我们通过对天然呈递肽段进行全面分析,阐明了这些HLA分子的肽段特异性。为此,将15个最常表达的HLA - C等位基因以及HLA - E01:01和HLA - G01:01转染到内源性HLA表达较低的淋巴母细胞样C1R细胞中。通过对HLA进行免疫沉淀以及随后利用液相色谱串联质谱分析与HLA结合的肽段来鉴定天然呈递的肽段。HLA - C的肽基序揭示了在第2或3位具有高同种异型间差异的锚定残基,以及在C末端具有较低可变的锚定残基。在我们的分析中证实了先前报道的HLA - E的小配体库,并且我们能够表明HLA - G结合了一个大的配体库,其在第3和9位具有独特的肽段锚定特征,在第1位有一个辅助锚定残基以及在第2和7位有优选残基。丰富的HLA配体产生了八聚体、九聚体和十聚体的预测矩阵。这些矩阵在结合预测方面得到了验证,并与最新的NetMHC预测算法NetMHCpan - 3.0进行了比较,显示出它们的预测能力。