生物
人类白细胞抗原
大规模并行测序
表位
遗传学
人口
DNA测序
抗原呈递
抗原
计算生物学
基因
免疫系统
T细胞
人口学
社会学
作者
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,Ava Kwong,Yonglu Che,Robert R. Stickels,Charles R. Crain,Laura Schmidt-Hong,Cheryl F. Lichti,Gaurav D. Gaiha,Theodore L. Roth,Nina Bhardwaj
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2025-07-28
卷期号:57 (8): 2062-2073
被引量:1
标识
DOI:10.1038/s41588-025-02268-1
摘要
Abstract 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.
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