Quanming Shi, Elana P. Simon, Cansu Cimen Bozkus, Anna Kaminska, Leandra Velazquez, Mansi Saxena, Zilin Zhang, Julia A. Belk, Shuo Wang, Nuoya Yang, Yaowen Zhang, Ashley Kwong, Yonglu Che, Robert R. Stickels, Charles R. Crain, Laura Schmidt-Hong, Cheryl F. Lichti, Gaurav D. Gaiha, Theodore L. Roth, Nina Bhardwaj, Ansuman T. Satpathy, Bingfei Yu, Howard Y. Chang
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Here we present ESCAPE-seq (enhanced single-chain antigen presentation sequencing), a massively parallel platform for comprehensive screening of class I HLA–peptide combinations for antigen presentation via deep DNA sequencing. ESCAPE-seq demonstrates programmability, high throughput, sensitivity and nominated viral and cancer epitopes. We simultaneously assessed over 75,000 peptide–HLA combinations, revealing broadly presented epitopes from oncogenic driver mutations and fusions across diverse HLA-A, HLA-B and HLA-C alleles that cover 90% of the human population. We further identified epitopes that are differentially presented, comparing oncogenic hotspot mutations versus wild type. ESCAPE-seq enables one-shot population-wide antigen presentation discovery, offering insights into HLA specificity and immune recognition of genomic mutations. ESCAPE-seq (enhanced single-chain antigen presentation sequencing) is a massively parallel platform for screening of class I HLA–peptide combinations for antigen presentation. The authors assess more than 75,000 peptide–HLA combinations, revealing presented epitopes from oncogenic driver mutations and fusions across diverse HLA-A, HLA-B and HLA-C alleles.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"57 8","pages":"2062-2073"},"PeriodicalIF":29.0000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41588-025-02268-1.pdf","citationCount":"0","resultStr":"{\"title\":\"Massively parallel immunopeptidome by DNA sequencing provides insights into cancer antigen presentation\",\"authors\":\"Quanming Shi, Elana P. Simon, Cansu Cimen Bozkus, Anna Kaminska, Leandra Velazquez, Mansi Saxena, Zilin Zhang, Julia A. 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Massively parallel immunopeptidome by DNA sequencing provides insights into cancer antigen presentation
Human leukocyte antigens (HLAs) are encoded by the most polymorphic genes in the human genome. HLA class I alleles control antigen presentation for T cell recognition, which is pivotal for autoimmunity, infectious diseases and cancer. Current knowledge of HLA-bound peptides is limited, skewed and falls short of population-wide HLA binding profiles for high-value targets. Here we present ESCAPE-seq (enhanced single-chain antigen presentation sequencing), a massively parallel platform for comprehensive screening of class I HLA–peptide combinations for antigen presentation via deep DNA sequencing. ESCAPE-seq demonstrates programmability, high throughput, sensitivity and nominated viral and cancer epitopes. We simultaneously assessed over 75,000 peptide–HLA combinations, revealing broadly presented epitopes from oncogenic driver mutations and fusions across diverse HLA-A, HLA-B and HLA-C alleles that cover 90% of the human population. We further identified epitopes that are differentially presented, comparing oncogenic hotspot mutations versus wild type. ESCAPE-seq enables one-shot population-wide antigen presentation discovery, offering insights into HLA specificity and immune recognition of genomic mutations. ESCAPE-seq (enhanced single-chain antigen presentation sequencing) is a massively parallel platform for screening of class I HLA–peptide combinations for antigen presentation. The authors assess more than 75,000 peptide–HLA combinations, revealing presented epitopes from oncogenic driver mutations and fusions across diverse HLA-A, HLA-B and HLA-C alleles.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution