Building proteomic tool boxes to monitor MHC class I and class II peptides. Issue 1 (January 2017)

• Record Type: Journal Article
• Authors: Schumacher, Frances‐Rose; Delamarre, Lélia; Jhunjhunwala, Suchit; Modrusan, Zora; Phung, Qui T.; Elias, Joshua E.; Lill, Jennie R.
• Is Part Of: Proteomics. Volume 17:Issue 1/2(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-01
• Subjects: Biomedicine -- Cancer vaccines -- Major histocompatibility complex -- Next generation sequencing -- T cell epitope; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201600061
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract : 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.