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Hussey K, Caldwell A, Kreiss A, Skjødt K, Gastaldello A, Pye R, Hamede R, Woods GM, Siddle HV. Expression of the Nonclassical MHC Class I, Saha-UD in the Transmissible Cancer Devil Facial Tumour Disease (DFTD). Pathogens 2022; 11:pathogens11030351. [PMID: 35335675 PMCID: PMC8953681 DOI: 10.3390/pathogens11030351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/02/2022] [Accepted: 03/03/2022] [Indexed: 11/16/2022] Open
Abstract
Devil facial tumour disease (DFTD) is a transmissible cancer that has circulated in the Tasmanian devil population for >25 years. Like other contagious cancers in dogs and devils, the way DFTD escapes the immune response of its host is a central question to understanding this disease. DFTD has a low major histocompatibility complex class I (MHC-I) expression due to epigenetic modifications, preventing host immune recognition of mismatched MHC-I molecules by T cells. However, the total MHC-I loss should result in natural killer (NK) cell activation due to the ‘missing self’. Here, we have investigated the expression of the nonclassical MHC-I, Saha-UD as a potential regulatory or suppressive mechanism for DFTD. A monoclonal antibody was generated against the devil Saha-UD that binds recombinant Saha-UD by Western blot, with limited crossreactivity to the classical MHC-I, Saha-UC and nonclassical Saha-UK. Using this antibody, we confirmed the expression of Saha-UD in 13 DFTD tumours by immunohistochemistry (n = 15) and demonstrated that Saha-UD expression is heterogeneous, with 12 tumours showing intratumour heterogeneity. Immunohistochemical staining for the Saha-UD showed distinct patterns of expression when compared with classical MHC-I molecules. The nonclassical Saha-UD expression by DFTD tumours in vivo may be a mechanism for immunosuppression, and further work is ongoing to characterise its ligand on immune cells.
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Affiliation(s)
- Kathryn Hussey
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK; (K.H.); (A.C.); (A.G.)
| | - Alison Caldwell
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK; (K.H.); (A.C.); (A.G.)
| | - Alexandre Kreiss
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (A.K.); (R.P.); (G.M.W.)
| | - Karsten Skjødt
- Department of Cancer and Inflammation, University of Southern Denmark, 5230 Odense, Denmark;
| | - Annalisa Gastaldello
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK; (K.H.); (A.C.); (A.G.)
| | - Ruth Pye
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (A.K.); (R.P.); (G.M.W.)
| | - Rodrigo Hamede
- School of Biological Sciences, University of Tasmania, Hobart, TAS 7005, Australia;
| | - Gregory M. Woods
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (A.K.); (R.P.); (G.M.W.)
| | - Hannah V. Siddle
- School of Biological Sciences, University of Southampton, Southampton SO17 1BJ, UK; (K.H.); (A.C.); (A.G.)
- Correspondence:
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Kubiniok P, Marcu A, Bichmann L, Kuchenbecker L, Schuster H, Hamelin DJ, Duquette JD, Kovalchik KA, Wessling L, Kohlbacher O, Rammensee HG, Neidert MC, Sirois I, Caron E. Understanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues. iScience 2022; 25:103768. [PMID: 35141507 PMCID: PMC8810409 DOI: 10.1016/j.isci.2022.103768] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 06/15/2021] [Accepted: 01/11/2022] [Indexed: 12/20/2022] Open
Abstract
Understanding the molecular principles that govern the composition of the MHC-I immunopeptidome across different primary tissues is fundamentally important to predict how T cells respond in different contexts in vivo. Here, we performed a global analysis of the MHC-I immunopeptidome from 29 to 19 primary human and mouse tissues, respectively. First, we observed that different HLA-A, HLA-B, and HLA-C allotypes do not contribute evenly to the global composition of the MHC-I immunopeptidome across multiple human tissues. Second, we found that tissue-specific and housekeeping MHC-I peptides share very distinct properties. Third, we discovered that proteins that are evolutionarily hyperconserved represent the primary source of the MHC-I immunopeptidome at the organism-wide scale. Fourth, we uncovered new components of the antigen processing and presentation network, including the carboxypeptidases CPE, CNDP1/2, and CPVL. Together, this study opens up new avenues toward a system-wide understanding of antigen presentation in vivo across mammalian species. Tissue-specific and housekeeping MHC class I peptides share distinct properties HLA-A, HLA-B, and HLA-C allotypes contribute very unevenly to the pool of class I peptides MHC-I immunopeptidomes are represented by evolutionarily conserved proteins An extended antigen processing and presentation pathway is uncovered
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Affiliation(s)
- Peter Kubiniok
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
| | - Ana Marcu
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
- Cluster of Excellence iFIT (EXC 2180), “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
| | - Leon Bichmann
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, 72074 Tübingen, Baden-Württemberg, Germany
| | - Leon Kuchenbecker
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, 72074 Tübingen, Baden-Württemberg, Germany
| | - Heiko Schuster
- Immatics Biotechnologies GmbH, 72076 Tübingen, Baden-Württemberg, Germany
| | - David J. Hamelin
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
| | | | | | - Laura Wessling
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
| | - Oliver Kohlbacher
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, 72074 Tübingen, Baden-Württemberg, Germany
- Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
- Biomolecular Interactions, Max Planck Institute for Developmental Biology, 72076 Tübingen, Baden-Württemberg, Germany
- Cluster of Excellence Machine Learning in the Sciences (EXC 2064), University of Tübingen, 72074 Tübingen, Baden-Württemberg, Germany
- Translational Bioinformatics, University Hospital Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
- Cluster of Excellence iFIT (EXC 2180), “Image-Guided and Functionally Instructed Tumor Therapies”, University of Tübingen, 72076 Tübingen, Baden-Württemberg, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), 72076 Tübingen, Baden-Württemberg, Germany
| | - Marian C. Neidert
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zürich, 8057&8091 Zürich, Switzerland
| | - Isabelle Sirois
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
| | - Etienne Caron
- CHU Sainte-Justine Research Center, Montreal, QC H3T 1C5, Canada
- Department of Pathology and Cellular Biology, Faculty of Medicine, Université de Montréal, QC H3T 1J4, Canada
- Corresponding author
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