酵母
MHC I级
班级(哲学)
吞吐量
高通量筛选
肽
酿酒酵母
计算生物学
计算机科学
主要组织相容性复合体
化学
生物
遗传学
生物化学
抗原
人工智能
电信
无线
作者
Patrick V. Holec,Kathryn C. Breuckman,Owen Leddy,Forest M. White,Bryan D. Bryson,Michael E. Birnbaum
标识
DOI:10.1101/2025.05.24.655874
摘要
Abstract T cells rely on short peptides presented by highly polymorphic major histocompatibility complexes (MHCs) to selectively initiate adaptive immune responses. Despite its importance, few techniques can systemically evaluate stable peptide presentation across diverse MHC alleles. Here, we describe a yeast display pipeline that can be deployed to rapidly screen proteomic space to identify class I pMHC binders across many alleles. Through this, we capture unique biological phenomena such as interference with peptide presentation via type IV drug-induced hypersensitivity. We apply this approach to multiple pathogen proteomes (Mtb Type 7S substrates, SARS-CoV-2, Dengue, and Zika) to create a high-resolution catalog of potential T cell antigens. Altogether, this platform acts as a flexible tool to generate large unbiased datasets for class I peptide presentation at a speed and scale competitive with the biological systems they represent.
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