Paul Sinu, Dillon Myles B C, Arlehamn Cecilia S Lindestam, Huang Huang, Davis Mark M, McKinney Denise M, Scriba Thomas Jens, Sidney John, Peters Bjoern, Sette Alessandro
La Jolla Institute for Allergy and Immunology, La Jolla, CA 92037.
The Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305.
J Immunol. 2015 Jun 15;194(12):6164-6176. doi: 10.4049/jimmunol.1403074. Epub 2015 May 6.
Identification of the specific HLA locus and allele presenting an epitope for recognition by specific TCRs (HLA restriction) is necessary to fully characterize the immune response to Ags. Experimental determination of HLA restriction is complex and technically challenging. As an alternative, the restricting HLA locus and allele can be inferred by genetic association, using response data in an HLA-typed population. However, simple odds ratio (OR) calculations can be problematic when dealing with large numbers of subjects and Ags, and because the same epitope can be presented by multiple alleles (epitope promiscuity). In this study, we develop a tool, denominated Restrictor Analysis Tool for Epitopes, to extract inferred restriction from HLA class II-typed epitope responses. This automated method infers HLA class II restriction from large datasets of T cell responses in HLA class II-typed subjects by calculating ORs and relative frequencies from simple data tables. The program is validated by: 1) analyzing data of previously determined HLA restrictions; 2) experimentally determining in selected individuals new HLA restrictions using HLA-transfected cell lines; and 3) predicting HLA restriction of particular peptides and showing that corresponding HLA class II tetramers efficiently bind to epitope-specific T cells. We further design a specific iterative algorithm to account for promiscuous recognition by calculation of OR values for combinations of different HLA molecules while incorporating predicted HLA binding affinity. The Restrictor Analysis Tool for Epitopes program streamlines the prediction of HLA class II restriction across multiple T cell epitopes and HLA types.
确定呈现表位以供特定TCR识别的特定HLA基因座和等位基因(HLA限制)对于全面表征对抗原的免疫反应是必要的。HLA限制的实验测定复杂且技术上具有挑战性。作为一种替代方法,可以通过基因关联,利用HLA分型人群中的反应数据来推断限制性HLA基因座和等位基因。然而,在处理大量受试者和抗原时,简单的比值比(OR)计算可能会出现问题,并且由于相同的表位可以由多个等位基因呈现(表位混杂性)。在本研究中,我们开发了一种工具,称为表位限制性分析工具,以从HLA II类分型的表位反应中提取推断的限制性。这种自动化方法通过从简单数据表计算OR值和相对频率,从HLA II类分型受试者的T细胞反应大数据集中推断HLA II类限制。该程序通过以下方式进行验证:1)分析先前确定的HLA限制数据;2)使用HLA转染细胞系在选定个体中实验确定新的HLA限制;3)预测特定肽的HLA限制,并表明相应的HLA II类四聚体有效地结合表位特异性T细胞。我们进一步设计了一种特定的迭代算法,通过计算不同HLA分子组合的OR值并纳入预测的HLA结合亲和力来考虑混杂识别。表位限制性分析工具程序简化了跨多个T细胞表位和HLA类型的HLA II类限制预测。