Jing Chen , Xu Zhu , Jun Huo , Shang Wu , Ting Zhou , Chunyu Cheng , Hao Dong , Yan Li , Xianchi Dong , Yuxin Chen
{"title":"A high-throughput immunopeptidome platform for MHC II alleles to characterize antigen-specific CD4+ T cells","authors":"Jing Chen , Xu Zhu , Jun Huo , Shang Wu , Ting Zhou , Chunyu Cheng , Hao Dong , Yan Li , Xianchi Dong , Yuxin Chen","doi":"10.1016/j.bmt.2025.100112","DOIUrl":null,"url":null,"abstract":"<div><div>CD4<sup>+</sup> T cells play a pivotal role in adaptive immunity, recognizing peptide antigens presented by MHC II molecules during infections and tumor development. Identifying immunodominant MHC II epitopess is essential for understanding CD4<sup>+</sup> T cell responses; however, current methods such as mass spectrometry, suffer from low sensitivity and throughput, while computational algorithms show variable accuracy. To overcome these challenges, we developed EliteMHCII, a high-throughput immunopeptidome profiling platform that identifies antigen-derived MHC II epitopes and measures peptide binding affinity across 24 globally common MHC II alleles. Using EliteMHCII, we assessed the immunodominant epitopes of the SARS-CoV-2 RBD protein. Validation in vaccinated individuals and humanized mouse models revealed a strong correlation between high-affinity peptides and robust CD4<sup>+</sup> T cell responses, while low-affinity peptides failed to elicit responses. Therefore, our immunopeptidome profiling platform, EliteMHCII, serves as a rapid, high throughput, feasible platform for CD4<sup>+</sup> T cell epitope discovery at a global populational level in the context of infectious diseases and cancer immunotherapy.</div></div>","PeriodicalId":100180,"journal":{"name":"Biomedical Technology","volume":"12 ","pages":"Article 100112"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949723X25000443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
CD4+ T cells play a pivotal role in adaptive immunity, recognizing peptide antigens presented by MHC II molecules during infections and tumor development. Identifying immunodominant MHC II epitopess is essential for understanding CD4+ T cell responses; however, current methods such as mass spectrometry, suffer from low sensitivity and throughput, while computational algorithms show variable accuracy. To overcome these challenges, we developed EliteMHCII, a high-throughput immunopeptidome profiling platform that identifies antigen-derived MHC II epitopes and measures peptide binding affinity across 24 globally common MHC II alleles. Using EliteMHCII, we assessed the immunodominant epitopes of the SARS-CoV-2 RBD protein. Validation in vaccinated individuals and humanized mouse models revealed a strong correlation between high-affinity peptides and robust CD4+ T cell responses, while low-affinity peptides failed to elicit responses. Therefore, our immunopeptidome profiling platform, EliteMHCII, serves as a rapid, high throughput, feasible platform for CD4+ T cell epitope discovery at a global populational level in the context of infectious diseases and cancer immunotherapy.