计算生物学
主要组织相容性复合体
表位
MHC I级
生物
信息学
班级(哲学)
工作流程
计算机科学
免疫系统
生物信息学
免疫学
抗原
人工智能
工程类
数据库
电气工程
作者
Frances‐Rose Schumacher,Lélia Delamarre,Suchit Jhunjhunwala,Zora Modrušan,Qui Phung,Joshua E. Elias,Jennie R. Lill
出处
期刊:Proteomics
[Wiley]
日期:2016-12-08
卷期号:17 (1-2)
被引量:32
标识
DOI:10.1002/pmic.201600061
摘要
Major histocompatibility complex Class I (MHCI) and Class II (MHCII) presented peptides powerfully modulate T cell immunity and play a vital role in generating effective anti‐tumor and anti‐viral immune responses in mammals. Characterizing these MHCI or MHCII presented peptides can help generate therapeutic treatments, afford information on T cell mediated biomarkers, provide insight into disease progression, and reduce adverse anti‐drug side effects from engineered biotherapeutics. Here, we explore the tools and techniques commonly employed to discover both MHCI‐ and MHCII‐presented peptides. We describe complementary strategies that enhance the characterization of these peptides and the informatics tools employed for both predicting and characterizing MHCI‐ and MHCII‐presented epitopes. The evolution of methodologies for isolating MHC‐presented peptides is discussed, as are the mass spectrometric workflows that can be employed for their characterization. We provide a perspective on where this field is headed, and how these tools may be applicable to the discovery and monitoring of epitopes in a variety of scenarios.
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