Massively parallel immunopeptidome by DNA sequencing provides insights into cancer antigen presentation

利用DNA测序进行大规模并行免疫肽组学分析,可深入了解癌症抗原呈递机制。

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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 ,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
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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