» Articles » PMID: 29493099

T-Cell Immunopeptidomes Reveal Cell Subtype Surface Markers Derived From Intracellular Proteins

Overview
Journal Proteomics
Date 2018 Mar 2
PMID 29493099
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Immunopeptidomes promise novel surface markers as ideal immunotherapy targets, but their characterization by mass spectrometry (MS) remains challenging. Until recently, cell numbers exceeding 10 were needed to survey thousands of HLA ligands. Such limited analytical sensitivity has historically constrained the types of clinical specimens that can be evaluated to cell cultures or bulk tissues. Measuring immunopeptidomes from purified cell subpopulations would be preferable for many applications, particularly those evaluating rare, primary hematopoietic cell lineages. Here, we test the feasibility of immunopeptidome profiling from limited numbers of primary purified human regulatory T cells (T ), conventional T cells (T ), and activated T cells. The combined T cell immunopeptide dataset reported here contains 13 804 unique HLA ligands derived from 5049 proteins. Of these, more than 700 HLA ligands were derived from 82 proteins that we exclusively identified from T -enriched cells. This study 1) demonstrates that primary, lineage-enriched T cell subpopulations recovered from single donors are compatible with immunopeptidome analysis; 2) presents new T -biased ligand candidates; and 3) supports immunopeptidome surveys' value for revealing T cell biology that may not be apparent from expression data alone. Taken together, these findings open up new avenues for targeting T and abrogating their suppressive functions to treat cancer.

Citing Articles

Development of a semi-automated MHC-associated peptide proteomics (MAPPs) method using streptavidin bead-based immunoaffinity capture and nano LC-MS/MS to support immunogenicity risk assessment in drug development.

Lee M, Saad O, Wong S, LaMar J, Kamen L, Ordonia B Front Immunol. 2023; 14:1295285.

PMID: 38022649 PMC: 10667718. DOI: 10.3389/fimmu.2023.1295285.


The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I-Associated Peptides.

Bedran G, Gasser H, Weke K, Wang T, Bedran D, Laird A Cancer Immunol Res. 2023; 11(6):747-762.

PMID: 36961404 PMC: 10236148. DOI: 10.1158/2326-6066.CIR-22-0621.


An Integrated Genomic, Proteomic, and Immunopeptidomic Approach to Discover Treatment-Induced Neoantigens.

Olsson N, Heberling M, Zhang L, Jhunjhunwala S, Phung Q, Lin S Front Immunol. 2021; 12:662443.

PMID: 33936100 PMC: 8082494. DOI: 10.3389/fimmu.2021.662443.


A Roadmap Toward the Definition of Actionable Tumor-Specific Antigens.

Minati R, Perreault C, Thibault P Front Immunol. 2021; 11:583287.

PMID: 33424836 PMC: 7793940. DOI: 10.3389/fimmu.2020.583287.


Automated Ligand Purification Platform Accelerates Immunopeptidome Analysis by Mass Spectrometry.

Zhang L, McAlpine P, Heberling M, Elias J J Proteome Res. 2020; 20(1):393-408.

PMID: 33331781 PMC: 11391901. DOI: 10.1021/acs.jproteome.0c00464.


References
1.
Elkord E, Alcantar-Orozco E, Dovedi S, Tran D, Hawkins R, Gilham D . T regulatory cells in cancer: recent advances and therapeutic potential. Expert Opin Biol Ther. 2010; 10(11):1573-86. DOI: 10.1517/14712598.2010.529126. View

2.
Gavin M, Torgerson T, Houston E, deRoos P, Ho W, Stray-Pedersen A . Single-cell analysis of normal and FOXP3-mutant human T cells: FOXP3 expression without regulatory T cell development. Proc Natl Acad Sci U S A. 2006; 103(17):6659-64. PMC: 1458937. DOI: 10.1073/pnas.0509484103. View

3.
Barnstable C, Bodmer W, Brown G, Galfre G, Milstein C, Williams A . Production of monoclonal antibodies to group A erythrocytes, HLA and other human cell surface antigens-new tools for genetic analysis. Cell. 1978; 14(1):9-20. DOI: 10.1016/0092-8674(78)90296-9. View

4.
Andreatta M, Nielsen M . Gapped sequence alignment using artificial neural networks: application to the MHC class I system. Bioinformatics. 2015; 32(4):511-7. PMC: 6402319. DOI: 10.1093/bioinformatics/btv639. View

5.
Fleri W, Paul S, Dhanda S, Mahajan S, Xu X, Peters B . The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design. Front Immunol. 2017; 8:278. PMC: 5348633. DOI: 10.3389/fimmu.2017.00278. View