Daniel S, Brusic V, Caillat-Zucman S, Petrovsky N, Harrison L, Riganelli D, Sinigaglia F, Gallazzi F, Hammer J, van Endert P M
Institut National de la Santé et de la Recherche Médicale, Unité 25, Paris, France.
J Immunol. 1998 Jul 15;161(2):617-24.
Efficiency of presentation of a peptide epitope by a MHC class I molecule depends on two parameters: its binding to the MHC molecule and its generation by intracellular Ag processing. In contrast to the former parameter, the mechanisms underlying peptide selection in Ag processing are poorly understood. Peptide translocation by the TAP transporter is required for presentation of most epitopes and may modulate peptide supply to MHC class I molecules. To study the role of human TAP for peptide presentation by individual HLA class I molecules, we generated artificial neural networks capable of predicting the affinity of TAP for random sequence 9-mer peptides. Using neural network-based predictions of TAP affinity, we found that peptides eluted from three different HLA class I molecules had higher TAP affinities than control peptides with equal binding affinities for the same HLA class I molecules, suggesting that human TAP may contribute to epitope selection. In simulated TAP binding experiments with 408 HLA class I binding peptides, HLA class I molecules differed significantly with respect to TAP affinities of their ligands. As a result, some class I molecules, especially HLA-B27, may be particularly efficient in presentation of cytosolic peptides with low concentrations, while most class I molecules may predominantly present abundant cytosolic peptides.
MHC I类分子呈递肽表位的效率取决于两个参数:其与MHC分子的结合以及通过细胞内抗原加工产生该表位。与前一个参数不同,抗原加工过程中肽选择的潜在机制尚不清楚。大多数表位的呈递需要TAP转运体进行肽转运,并且这可能会调节向MHC I类分子的肽供应。为了研究人类TAP在单个HLA I类分子呈递肽中的作用,我们构建了能够预测TAP对随机序列9聚体肽亲和力的人工神经网络。利用基于神经网络的TAP亲和力预测,我们发现从三种不同的HLA I类分子上洗脱下来的肽比与相同HLA I类分子具有相同结合亲和力的对照肽具有更高的TAP亲和力,这表明人类TAP可能有助于表位选择。在对408种HLA I类结合肽进行的模拟TAP结合实验中,HLA I类分子在其配体的TAP亲和力方面存在显著差异。结果,一些I类分子,尤其是HLA-B27,在呈递低浓度胞质肽方面可能特别高效,而大多数I类分子可能主要呈递丰富的胞质肽。