1
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Budeus B, Álvaro-Benito M, Crivello P. HLA-DM and HLA-DO interplay for the peptide editing of HLA class II in healthy tissues and leukemia. Best Pract Res Clin Haematol 2024; 37:101561. [PMID: 39098801 DOI: 10.1016/j.beha.2024.101561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/13/2024] [Accepted: 06/27/2024] [Indexed: 08/06/2024]
Abstract
HLA class II antigen presentation is modulated by the activity of the peptide editor HLA-DM and its antagonist HLA-DO, with their interplay controlling the peptide repertoires presented by normal and malignant cells. The role of these molecules in allogeneic hematopoietic cell transplantation (alloHCT) is poorly investigated. Balanced expression of HLA-DM and HLA-DO can influence the presentation of leukemia-associated antigens and peptides targeted by alloreactive T cells, therefore affecting both anti-leukemia immunity and the potential onset of Graft versus Host Disease. We leveraged on a large collection of bulk and single cell RNA sequencing data, available at different repositories, to comprehensively review the level and distribution of HLA-DM and HLA-DO in different cell types and tissues of the human body. The resulting expression atlas will help future investigations aiming to dissect the dual role of HLA class II peptide editing in alloHCT, and their potential impact on its clinical outcome.
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Affiliation(s)
- Bettina Budeus
- Institute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany.
| | - Miguel Álvaro-Benito
- School of Medicine, Universidad Complutense de Madrid, 12 de Octubre Health Research Institute, Madrid, Spain; Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany.
| | - Pietro Crivello
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany.
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2
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Weisbrod L, Capriotti L, Hofmann M, Spieler V, Dersch H, Voedisch B, Schmidt P, Knake S. FASTMAP-a flexible and scalable immunopeptidomics pipeline for HLA- and antigen-specific T-cell epitope mapping based on artificial antigen-presenting cells. Front Immunol 2024; 15:1386160. [PMID: 38779658 PMCID: PMC11109385 DOI: 10.3389/fimmu.2024.1386160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 04/17/2024] [Indexed: 05/25/2024] Open
Abstract
The study of peptide repertoires presented by major histocompatibility complex (MHC) molecules and the identification of potential T-cell epitopes contribute to a multitude of immunopeptidome-based treatment approaches. Epitope mapping is essential for the development of promising epitope-based approaches in vaccination as well as for innovative therapeutics for autoimmune diseases, infectious diseases, and cancer. It also plays a critical role in the immunogenicity assessment of protein therapeutics with regard to safety and efficacy concerns. The main challenge emerges from the highly polymorphic nature of the human leukocyte antigen (HLA) molecules leading to the requirement of a peptide mapping strategy for a single HLA allele. As many autoimmune diseases are linked to at least one specific antigen, we established FASTMAP, an innovative strategy to transiently co-transfect a single HLA allele combined with a disease-specific antigen into a human cell line. This approach allows the specific identification of HLA-bound peptides using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Using FASTMAP, we found a comparable spectrum of endogenous peptides presented by the most frequently expressed HLA alleles in the world's population compared to what has been described in literature. To ensure a reliable peptide mapping workflow, we combined the HLA alleles with well-known human model antigens like coagulation factor VIII, acetylcholine receptor subunit alpha, protein structures of the SARS-CoV-2 virus, and myelin basic protein. Using these model antigens, we have been able to identify a broad range of peptides that are in line with already published and in silico predicted T-cell epitopes of the specific HLA/model antigen combination. The transient co-expression of a single affinity-tagged MHC molecule combined with a disease-specific antigen in a human cell line in our FASTMAP pipeline provides the opportunity to identify potential T-cell epitopes/endogenously processed MHC-bound peptides in a very cost-effective, fast, and customizable system with high-throughput potential.
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Affiliation(s)
- Luisa Weisbrod
- Recombinant Protein Discovery, CSL Innovation GmbH, Marburg, Germany
| | - Luigi Capriotti
- Analytical Biochemistry, Research and Development, CSL Behring AG, Bern, Switzerland
| | - Marco Hofmann
- Recombinant Protein Discovery, CSL Innovation GmbH, Marburg, Germany
| | - Valerie Spieler
- Recombinant Protein Discovery, CSL Innovation GmbH, Marburg, Germany
| | - Herbert Dersch
- Recombinant Protein Discovery, CSL Innovation GmbH, Marburg, Germany
| | - Bernd Voedisch
- Recombinant Protein Discovery, CSL Innovation GmbH, Marburg, Germany
| | - Peter Schmidt
- Protein Biochemistry, Bio21 Institute, CSL Limited, Parkville, VIC, Australia
| | - Susanne Knake
- Department of Neurology, Epilepsy Center Hessen, Philipps University Marburg, Marburg, Germany
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3
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Tiwari R, Singh VK, Rajneesh, Kumar A, Gautam V, Kumar R. MHC tetramer technology: Exploring T cell biology in health and disease. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2024; 140:327-345. [PMID: 38762273 DOI: 10.1016/bs.apcsb.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
Major histocompatibility complex (MHC) tetramers stand as formidable tools within T cell biology, facilitating the exploration and comprehension of immune responses. These artificial molecules, comprising four bound MHC molecules, typically with a specified peptide and a fluorescent label, play a pivotal role in characterizing T cell subsets, monitoring clonal expansion, and unraveling T cell dynamics during responses to infections or immunotherapies. Beyond their applications in T cell biology, MHC tetramers prove valuable in investigating a spectrum of diseases such as infectious diseases, autoimmune disorders, and cancers. Their instrumental role extends to vaccine research and development. Notably, when appropriately configured, tetramers transcend T cell biology research and find utility in exploring natural killer T cells and contributing to specific T cell clonal deletions.
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Affiliation(s)
- Rahul Tiwari
- Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Vishal Kumar Singh
- Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Rajneesh
- Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Awnish Kumar
- Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Vibhav Gautam
- Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Rajiv Kumar
- Centre of Experimental Medicine & Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
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4
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Ishina IA, Zakharova MY, Kurbatskaia IN, Mamedov AE, Belogurov AA, Gabibov AG. MHC Class II Presentation in Autoimmunity. Cells 2023; 12:314. [PMID: 36672249 PMCID: PMC9856717 DOI: 10.3390/cells12020314] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/10/2023] [Accepted: 01/12/2023] [Indexed: 01/17/2023] Open
Abstract
Antigen presentation by major histocompatibility complex class II (MHC-II) molecules is crucial for eliciting an efficient immune response by CD4+ T cells and maintaining self-antigen tolerance. Some MHC-II alleles are known to be positively or negatively associated with the risk of the development of different autoimmune diseases (ADs), including those characterized by the emergence of autoreactive T cells. Apparently, the MHC-II presentation of self-antigens contributes to the autoimmune T cell response, initiated through a breakdown of central tolerance to self-antigens in the thymus. The appearance of autoreactive T cell might be the result of (i) the unusual interaction between T cell receptors (TCRs) and self-antigens presented on MHC-II; (ii) the posttranslational modifications (PTMs) of self-antigens; (iii) direct loading of the self-antigen to classical MHC-II without additional nonclassical MHC assistance; (iv) the proinflammatory environment effect on MHC-II expression and antigen presentation; and (v) molecular mimicry between foreign and self-antigens. The peculiarities of the processes involved in the MHC-II-mediated presentation may have crucial importance in the elucidation of the mechanisms of triggering and developing ADs as well as for clarification on the protective effect of MHC-II alleles that are negatively associated with ADs.
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Affiliation(s)
- Irina A. Ishina
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia
| | - Maria Y. Zakharova
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia
| | - Inna N. Kurbatskaia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia
| | - Azad E. Mamedov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia
| | - Alexey A. Belogurov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia
- Department of Biological Chemistry, Evdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia
| | - Alexander G. Gabibov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, 117997 Moscow, Russia
- Department of Life Sciences, Higher School of Economics, 101000 Moscow, Russia
- Department of Chemistry, Lomonosov Moscow State University, 119991 Moscow, Russia
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5
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Álvaro-Benito M, Ebner F, Bertazzon M, Morrison E. CD4+ T Cell Epitope Identification from Complex Parasite Antigen Mixtures. Methods Mol Biol 2023; 2673:89-109. [PMID: 37258908 DOI: 10.1007/978-1-0716-3239-0_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Antigen complexity represents a major challenge for scoring CD4+ T cell immunogenicity, a key hallmark of immunity and with great potential to improve vaccine development. In this chapter, we provide a comprehensive picture of a pipeline that can be applied to virtually any complex antigen to overcome different limitations. Antigens are characterized by Mass Spectrometry to determine the available protein sources and their abundances. A reconstituted in vitro antigen processing system is applied along with bioinformatics tools to prioritize the list of candidates. Finally, the immunogenicity of candidate peptides is validated ex vivo using PBMCs from HLA-typed individuals. This protocol compiles the essential information for executing the whole pipeline while focusing on the candidate epitope prioritizing scheme.
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Affiliation(s)
- Miguel Álvaro-Benito
- Laboratory of Protein Biochemistry, Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany.
| | - Friederike Ebner
- Division of Infection Pathogenesis, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Miriam Bertazzon
- Laboratory of Protein Biochemistry, Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Eliot Morrison
- Laboratory of Protein Biochemistry, Institute of Chemistry and Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
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6
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Sarango G, Richetta C, Pereira M, Kumari A, Ghosh M, Bertrand L, Pionneau C, Le Gall M, Grégoire S, Jeger‐Madiot R, Rosoy E, Subra F, Delelis O, Faure M, Esclatine A, Graff‐Dubois S, Stevanović S, Manoury B, Ramirez BC, Moris A. The Autophagy Receptor TAX1BP1 (T6BP) improves antigen presentation by MHC-II molecules. EMBO Rep 2022; 23:e55470. [PMID: 36215666 PMCID: PMC9724678 DOI: 10.15252/embr.202255470] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/16/2022] [Accepted: 09/23/2022] [Indexed: 12/12/2022] Open
Abstract
CD4+ T lymphocytes play a major role in the establishment and maintenance of immunity. They are activated by antigenic peptides derived from extracellular or newly synthesized (endogenous) proteins presented by the MHC-II molecules. The pathways leading to endogenous MHC-II presentation remain poorly characterized. We demonstrate here that the autophagy receptor, T6BP, influences both autophagy-dependent and -independent endogenous presentation of HIV- and HCMV-derived peptides. By studying the immunopeptidome of MHC-II molecules, we show that T6BP affects both the quantity and quality of peptides presented. T6BP silencing induces the mislocalization of the MHC-II-loading compartments and rapid degradation of the invariant chain (CD74) without altering the expression and internalization kinetics of MHC-II molecules. Defining the interactome of T6BP, we identify calnexin as a T6BP partner. We show that the calnexin cytosolic tail is required for this interaction. Remarkably, calnexin silencing replicates the functional consequences of T6BP silencing: decreased CD4+ T cell activation and exacerbated CD74 degradation. Altogether, we unravel T6BP as a key player of the MHC-II-restricted endogenous presentation pathway, and we propose one potential mechanism of action.
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Affiliation(s)
- Gabriela Sarango
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Clémence Richetta
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance,LBPA, ENS‐Paris Saclay, CNRS UMR8113Université Paris SaclayGif‐sur‐YvetteFrance
| | - Mathias Pereira
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Anita Kumari
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Michael Ghosh
- Department of Immunology, Institute for Cell BiologyUniversity of TübingenTübingenGermany
| | - Lisa Bertrand
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Cédric Pionneau
- Sorbonne UniversitéINSERM, UMS Production et Analyse de Données en Sciences de la vie et en Santé, PASS, Plateforme Post‐génomique de la Pitié SalpêtrièreParisFrance
| | - Morgane Le Gall
- 3P5 proteom'IC facilityUniversité de Paris, Institut Cochin, INSERM U1016, CNRS‐UMR 8104ParisFrance
| | - Sylvie Grégoire
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Raphaël Jeger‐Madiot
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance,Present address:
Sorbonne Université, INSERM U959, Immunology‐Immunopathology‐Immunotherapy (i3)ParisFrance
| | - Elina Rosoy
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Frédéric Subra
- LBPA, ENS‐Paris Saclay, CNRS UMR8113Université Paris SaclayGif‐sur‐YvetteFrance
| | - Olivier Delelis
- LBPA, ENS‐Paris Saclay, CNRS UMR8113Université Paris SaclayGif‐sur‐YvetteFrance
| | - Mathias Faure
- CIRI, Centre International de Recherche en Infectiologie, Université de Lyon, Inserm U1111Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de LyonLyonFrance,Equipe Labellisée par la Fondation pour la Recherche Médicale, FRM
| | - Audrey Esclatine
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance
| | - Stéphanie Graff‐Dubois
- Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance,Present address:
Sorbonne Université, INSERM U959, Immunology‐Immunopathology‐Immunotherapy (i3)ParisFrance
| | - Stefan Stevanović
- Department of Immunology, Institute for Cell BiologyUniversity of TübingenTübingenGermany
| | - Bénédicte Manoury
- Institut Necker Enfants Malades, INSERM U1151‐CNRS UMR 8253, Faculté de médecine NeckerUniversité de ParisParisFrance
| | - Bertha Cecilia Ramirez
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
| | - Arnaud Moris
- Université Paris‐Saclay, CEA, CNRSInstitute for Integrative Biology of the Cell (I2BC)Gif‐sur‐YvetteFrance,Sorbonne UniversitéINSERM, CNRS, Center for Immunology and Microbial Infections (CIMI‐Paris)ParisFrance
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7
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Natural variation of ncHLAII molecules: challenges and perspectives. Cell Mol Immunol 2022; 19:1432-1434. [DOI: 10.1038/s41423-022-00910-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 07/28/2022] [Indexed: 11/09/2022] Open
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8
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Santambrogio L. Molecular Determinants Regulating the Plasticity of the MHC Class II Immunopeptidome. Front Immunol 2022; 13:878271. [PMID: 35651601 PMCID: PMC9148998 DOI: 10.3389/fimmu.2022.878271] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/19/2022] [Indexed: 11/16/2022] Open
Abstract
In the last few years, advancement in the analysis of the MHC class II (MHC-II) ligandome in several mouse and human haplotypes has increased our understanding of the molecular components that regulate the range and selection of the MHC-II presented peptides, from MHC class II molecule polymorphisms to the recognition of different conformers, functional differences in endosomal processing along the endocytic tract, and the interplay between the MHC class II chaperones DM and DO. The sum of all these variables contributes, qualitatively and quantitatively, to the composition of the MHC II ligandome, altogether ensuring that the immunopeptidome landscape is highly sensitive to any changes in the composition of the intra- and extracellular proteome for a comprehensive survey of the microenvironment for MHC II presentation to CD4 T cells.
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Affiliation(s)
- Laura Santambrogio
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, United States
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
- Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, United States
- *Correspondence: Laura Santambrogio,
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9
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Debnath U, Verma S, Patra J, Mandal SK. A review on recent synthetic routes and computational approaches for antibody drug conjugation developments used in anti-cancer therapy. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2022.132524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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10
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Therapeutic Vaccines Targeting Neoantigens to Induce T-Cell Immunity against Cancers. Pharmaceutics 2022; 14:pharmaceutics14040867. [PMID: 35456701 PMCID: PMC9029780 DOI: 10.3390/pharmaceutics14040867] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/11/2022] [Accepted: 04/13/2022] [Indexed: 12/12/2022] Open
Abstract
Cancer immunotherapy has achieved multiple clinical benefits and has become an indispensable component of cancer treatment. Targeting tumor-specific antigens, also known as neoantigens, plays a crucial role in cancer immunotherapy. T cells of adaptive immunity that recognize neoantigens, but do not induce unwanted off-target effects, have demonstrated high efficacy and low side effects in cancer immunotherapy. Tumor neoantigens derived from accumulated genetic instability can be characterized using emerging technologies, such as high-throughput sequencing, bioinformatics, predictive algorithms, mass-spectrometry analyses, and immunogenicity validation. Neoepitopes with a higher affinity for major histocompatibility complexes can be identified and further applied to the field of cancer vaccines. Therapeutic vaccines composed of tumor lysates or cells and DNA, mRNA, or peptides of neoantigens have revoked adaptive immunity to kill cancer cells in clinical trials. Broad clinical applicability of these therapeutic cancer vaccines has emerged. In this review, we discuss recent progress in neoantigen identification and applications for cancer vaccines and the results of ongoing trials.
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11
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Olsson N, Jiang W, Adler LN, Mellins ED, Elias JE. Tuning DO:DM ratios modulates MHC class II immunopeptidomes. Mol Cell Proteomics 2022; 21:100204. [DOI: 10.1016/j.mcpro.2022.100204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 01/07/2022] [Accepted: 01/16/2022] [Indexed: 10/19/2022] Open
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12
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Regulation of the BCR signalosome by the class II peptide editor, H2-M, affects the development and repertoire of innate-like B cells. Cell Rep 2022; 38:110200. [DOI: 10.1016/j.celrep.2021.110200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 09/23/2021] [Accepted: 12/13/2021] [Indexed: 11/21/2022] Open
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13
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Stopfer L, D'Souza A, White F. 1,2,3, MHC: a review of mass-spectrometry-based immunopeptidomics methods for relative and absolute quantification of pMHCs. IMMUNO-ONCOLOGY TECHNOLOGY 2021; 11:100042. [PMID: 35756972 PMCID: PMC9216433 DOI: 10.1016/j.iotech.2021.100042] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Quantitative mass-spectrometry-based methods to perform relative and absolute quantification of peptides in the immunopeptidome are growing in popularity as researchers aim to measure the dynamic nature of the peptide major histocompatibility complex repertoire and make copies-per-cell estimations of target antigens of interest. Multiple methods to carry out these experiments have been reported, each with unique advantages and limitations. This article describes existing methods and recent applications, offering guidance for improving quantitative accuracy and selecting an appropriate experimental set-up to maximize data quality and quantity.
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Affiliation(s)
- L.E. Stopfer
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA,Koch Institute for Integrative Cancer Research, Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, USA
| | - A.D. D'Souza
- Koch Institute for Integrative Cancer Research, Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, USA,Program in Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Boston, USA
| | - F.M. White
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA,Koch Institute for Integrative Cancer Research, Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, USA,Correspondence to: Prof. Forest M. White, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Tel: 617-258-8949
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14
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Nanaware PP, Jurewicz MM, Clement CC, Lu L, Santambrogio L, Stern LJ. Distinguishing Signal From Noise in Immunopeptidome Studies of Limiting-Abundance Biological Samples: Peptides Presented by I-A b in C57BL/6 Mouse Thymus. Front Immunol 2021; 12:658601. [PMID: 33995376 PMCID: PMC8116589 DOI: 10.3389/fimmu.2021.658601] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/09/2021] [Indexed: 11/13/2022] Open
Abstract
Antigen presentation by MHC-II proteins in the thymus is central to selection of CD4 T cells, but analysis of the full repertoire of presented peptides responsible for positive and negative selection is complicated by the low abundance of antigen presenting cells. A key challenge in analysis of limiting abundance immunopeptidomes by mass spectrometry is distinguishing true MHC-binding peptides from co-eluting non-specifically bound peptides present in the mixture eluted from immunoaffinity-purified MHC molecules. Herein we tested several approaches to minimize the impact of non-specific background peptides, including analyzing eluates from isotype-control antibody-conjugated beads, considering only peptides present in nested sets, and using predicted binding motif analysis to identify core epitopes. We evaluated these methods using well-understood human cell line samples, and then applied them to analysis of the I-Ab presented immunopeptidome of the thymus of C57BL/6 mice, comparing this to the more easily characterized splenic B cell and dendritic cell populations. We identified a total of 3473 unique peptides eluted from the various tissues, using a data dependent acquisition strategy with a false-discovery rate of <1%. The immunopeptidomes presented in thymus as compared to splenic B cells and DCs identified shared and tissue-specific epitopes. A broader length distribution was observed for peptides presented in the thymus as compared to splenic B cells or DCs. Detailed analysis of 61 differentially presented peptides indicated a wider distribution of I-Ab binding affinities in thymus as compared to splenic B cells. These results suggest different constraints on antigen processing and presentation pathways in central versus peripheral tissues.
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Affiliation(s)
- Padma P. Nanaware
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Mollie M. Jurewicz
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Cristina C. Clement
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
| | - Liying Lu
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
| | - Laura Santambrogio
- Department of Radiation Oncology, Weill Cornell Medicine, New York, NY, United States
| | - Lawrence J. Stern
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, United States
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA, United States
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15
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Olsson N, Heberling ML, Zhang L, Jhunjhunwala S, Phung QT, Lin S, Anania VG, Lill JR, Elias JE. An Integrated Genomic, Proteomic, and Immunopeptidomic Approach to Discover Treatment-Induced Neoantigens. Front Immunol 2021; 12:662443. [PMID: 33936100 PMCID: PMC8082494 DOI: 10.3389/fimmu.2021.662443] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 03/22/2021] [Indexed: 12/20/2022] Open
Abstract
All nucleated mammalian cells express major histocompatibility complex (MHC) proteins that present peptides on cell surfaces for immune surveillance. These MHC-presented peptides (pMHC) are necessary for directing T-cell responses against cells harboring non-self antigens derived from pathogens or from somatic mutations. Alterations in tumor-specific antigen repertoires - particularly novel MHC presentation of mutation-bearing peptides (neoantigens) - can be potent targets of anti-tumor immune responses. Here we employed an integrated genomic and proteomic antigen discovery strategy aimed at measuring how interferon gamma (IFN-γ) alters antigen presentation, using a human lymphoma cell line, GRANTA-519. IFN-γ treatment resulted in 126 differentially expressed proteins (2% of all quantified proteins), which included components of antigen presentation machinery and interferon signaling pathways, and MHC molecules themselves. In addition, several proteasome subunits were found to be modulated, consistent with previous reports of immunoproteasome induction by IFN-γ exposure. This finding suggests that a modest proteomic response to IFN-γ could create larger alteration to cells' antigen/epitope repertoires. Accordingly, MHC immunoprecipitation followed by mass spectrometric analysis of eluted peptide repertoires revealed exclusive signatures of IFN-γ induction, with 951 unique peptides reproducibly presented by MHC-I and 582 presented by MHC-II. Furthermore, an additional set of pMHCs including several candidate neoantigens, distinguished control and the IFN-γ samples by their altered relative abundances. Accordingly, we developed a classification system to distinguish peptides which are differentially presented due to altered expression from novel peptides resulting from changes in antigen processing. Taken together, these data demonstrate that IFN-γ can re-shape antigen repertoires by identity and by abundance. Extending this approach to models with greater clinical relevance could help develop strategies by which immunopeptide repertoires are intentionally reshaped to improve endogenous or vaccine-induced anti-tumor immune responses and potentially anti-viral immune responses.
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Affiliation(s)
- Niclas Olsson
- Department of Chemical and Systems Biology, Stanford School of Medicine, Stanford University, Stanford, CA, United States
| | - Marlene L. Heberling
- Department of Chemical and Systems Biology, Stanford School of Medicine, Stanford University, Stanford, CA, United States
| | - Lichao Zhang
- Mass Spectrometry Platform, Chan Zuckerberg Biohub, Stanford, CA, United States
| | - Suchit Jhunjhunwala
- Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, United States
| | - Qui T. Phung
- Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, United States
- Department of OMNI Biomarker Development, Genentech, South San Francisco, CA, United States
| | - Sarah Lin
- Mass Spectrometry Platform, Chan Zuckerberg Biohub, Stanford, CA, United States
| | - Veronica G. Anania
- Department of OMNI Biomarker Development, Genentech, South San Francisco, CA, United States
| | - Jennie R. Lill
- Department of Microchemistry, Proteomics and Lipidomics, Genentech, South San Francisco, CA, United States
| | - Joshua E. Elias
- Mass Spectrometry Platform, Chan Zuckerberg Biohub, Stanford, CA, United States
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16
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Marcu A, Bichmann L, Kuchenbecker L, Kowalewski DJ, Freudenmann LK, Backert L, Mühlenbruch L, Szolek A, Lübke M, Wagner P, Engler T, Matovina S, Wang J, Hauri-Hohl M, Martin R, Kapolou K, Walz JS, Velz J, Moch H, Regli L, Silginer M, Weller M, Löffler MW, Erhard F, Schlosser A, Kohlbacher O, Stevanović S, Rammensee HG, Neidert MC. HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy. J Immunother Cancer 2021; 9:e002071. [PMID: 33858848 PMCID: PMC8054196 DOI: 10.1136/jitc-2020-002071] [Citation(s) in RCA: 106] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The human leucocyte antigen (HLA) complex controls adaptive immunity by presenting defined fractions of the intracellular and extracellular protein content to immune cells. Understanding the benign HLA ligand repertoire is a prerequisite to define safe T-cell-based immunotherapies against cancer. Due to the poor availability of benign tissues, if available, normal tissue adjacent to the tumor has been used as a benign surrogate when defining tumor-associated antigens. However, this comparison has proven to be insufficient and even resulted in lethal outcomes. In order to match the tumor immunopeptidome with an equivalent counterpart, we created the HLA Ligand Atlas, the first extensive collection of paired HLA-I and HLA-II immunopeptidomes from 227 benign human tissue samples. This dataset facilitates a balanced comparison between tumor and benign tissues on HLA ligand level. METHODS Human tissue samples were obtained from 16 subjects at autopsy, five thymus samples and two ovary samples originating from living donors. HLA ligands were isolated via immunoaffinity purification and analyzed in over 1200 liquid chromatography mass spectrometry runs. Experimentally and computationally reproducible protocols were employed for data acquisition and processing. RESULTS The initial release covers 51 HLA-I and 86 HLA-II allotypes presenting 90,428 HLA-I- and 142,625 HLA-II ligands. The HLA allotypes are representative for the world population. We observe that immunopeptidomes differ considerably between tissues and individuals on source protein and HLA-ligand level. Moreover, we discover 1407 HLA-I ligands from non-canonical genomic regions. Such peptides were previously described in tumors, peripheral blood mononuclear cells (PBMCs), healthy lung tissues and cell lines. In a case study in glioblastoma, we show that potential on-target off-tumor adverse events in immunotherapy can be avoided by comparing tumor immunopeptidomes to the provided multi-tissue reference. CONCLUSION Given that T-cell-based immunotherapies, such as CAR-T cells, affinity-enhanced T cell transfer, cancer vaccines and immune checkpoint inhibition, have significant side effects, the HLA Ligand Atlas is the first step toward defining tumor-associated targets with an improved safety profile. The resource provides insights into basic and applied immune-associated questions in the context of cancer immunotherapy, infection, transplantation, allergy and autoimmunity. It is publicly available and can be browsed in an easy-to-use web interface at https://hla-ligand-atlas.org .
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Affiliation(s)
- Ana Marcu
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Leon Bichmann
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Leon Kuchenbecker
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Daniel Johannes Kowalewski
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
| | - Lena Katharina Freudenmann
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Linus Backert
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Lena Mühlenbruch
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - András Szolek
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Maren Lübke
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
| | - Philipp Wagner
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany
| | - Tobias Engler
- Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany
| | - Sabine Matovina
- Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany
| | - Jian Wang
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Mathias Hauri-Hohl
- Pediatric Stem Cell Transplantation, University Children's Hospital Zurich, Zurich, Switzerland
| | - Roland Martin
- Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Konstantina Kapolou
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
| | - Juliane Sarah Walz
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), University Hospital of Tübingen, Tübingen, Germany
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology (IKP) and Robert Bosch Center for Tumor Diseases (RBCT), Stuttgart, Germany
| | - Julia Velz
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
| | - Holger Moch
- Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
| | - Manuela Silginer
- Clinical Neuroscience Center and Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Clinical Neuroscience Center and Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Markus W Löffler
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
- Department of General, Visceral and Transplant Surgery, University Hospital of Tübingen, Tübingen, Germany
- Department of Clinical Pharmacology, University of Hospital Tübingen, Tübingen, Germany
| | - Florian Erhard
- Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Bayern, Germany
| | - Andreas Schlosser
- Rudolf Virchow Center - Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Oliver Kohlbacher
- Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany
- Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
- Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany
- Cluster of Excellence Machine Learning in the Sciences (EXC 2064), University of Tübingen, Tübingen, Germany
- Institute for Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany
| | - Stefan Stevanović
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Hans-Georg Rammensee
- Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany
- DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany
| | - Marian Christoph Neidert
- Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland
- Department of Neurosurgery, Cantonal Hospital St.Gallen, St.Gallen, Switzerland
- Neuroscience Center Zurich (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland
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17
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Chen R, Fulton KM, Twine SM, Li J. IDENTIFICATION OF MHC PEPTIDES USING MASS SPECTROMETRY FOR NEOANTIGEN DISCOVERY AND CANCER VACCINE DEVELOPMENT. MASS SPECTROMETRY REVIEWS 2021; 40:110-125. [PMID: 31875992 DOI: 10.1002/mas.21616] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Immunotherapy with neoantigens presented by major histocompatibility complex (MHC) is one of the most promising approaches in cancer treatment. Using this approach, cancer vaccines can be designed to target tumor-specific mutations that are not found in normal tissues. Clinical trials have demonstrated an increased immune response and eradication of tumors after injecting synthetic peptides selected from the immunopeptidome. Although the sequence of MHC binding peptides can be predicted from genome sequencing and prediction algorithms, this approach results in large numbers of predicted peptides, requiring the confirmation by mass spectrometry (MS) analysis. Identification of MHC peptides by direct MS analysis of immunopeptidome is accurate and sensitive, with tens of thousands of unique peptides potentially identified from either cancer cell line or tumor tissue. Peptides with mutations can also be identified with patient-specific protein databases constructed from genome or transcriptome sequencing data. MS analysis also enables the characterization of the post-translational modifications (PTMs) of those antigens that cannot be predicted. Moreover, PTMs were found to be more efficient in triggering an immune response. In addition to reviewing recent advances in the identification of neoantigens using MS, the techniques for cancer vaccine candidate selection and formulation, vaccine delivery systems, and the potential for use in combination with other therapeutics are also discussed. It is anticipated that MS-based techniques will play an important role in future cancer vaccine development. © 2019 John Wiley & Sons Ltd. Mass Spec Rev 40:110-125, 2021.
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Affiliation(s)
- Rui Chen
- Human Health Therapeutics Research Centre, National Research Council Canada, 100 Sussex Drive, Ottawa, Ontario, K1A 0R6, Canada
| | - Kelly M Fulton
- Human Health Therapeutics Research Centre, National Research Council Canada, 100 Sussex Drive, Ottawa, Ontario, K1A 0R6, Canada
| | - Susan M Twine
- Human Health Therapeutics Research Centre, National Research Council Canada, 100 Sussex Drive, Ottawa, Ontario, K1A 0R6, Canada
| | - Jianjun Li
- Human Health Therapeutics Research Centre, National Research Council Canada, 100 Sussex Drive, Ottawa, Ontario, K1A 0R6, Canada
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18
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Zhang L, McAlpine PL, Heberling ML, Elias JE. Automated Ligand Purification Platform Accelerates Immunopeptidome Analysis by Mass Spectrometry. J Proteome Res 2021; 20:393-408. [PMID: 33331781 PMCID: PMC11391901 DOI: 10.1021/acs.jproteome.0c00464] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Major histocompatibility complex (MHC)-presented peptides (pMHC) give insight into T cell immune responses, a critical step toward developing a new generation of targeted immunotherapies. Recent instrumentation advances have propelled mass spectrometry to being arguably the most robust technology for discovering and quantifying naturally presented pMHC from cells and tissues. However, sample preparation has remained a major limitation due to time-consuming and labor-intensive workflows. We developed a high-throughput and automated platform with enhanced speed, sensitivity, and reproducibility relative to prior studies. This pipeline is capable of processing up to 96 samples in 6 h or less yielding high-quality pMHC mixtures ready for mass spectrometry. Here, we describe our efforts to optimize purification and mass spectrometer parameters, ultimately allowing us to identify as many as almost 5000 pMHC I and 7400 pMHC II from as little as 2.5 × 107 Raji cells each. We believe that this platform will facilitate and accelerate immunopeptidome profiling and benefit clinical research for immunotherapies.
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Affiliation(s)
- Lichao Zhang
- Chan Zuckerberg Biohub, Stanford, California 94305, United States
| | - Patrick L McAlpine
- Otolaryngology Head and Neck Surgery Research Division, Stanford University, Stanford, California 94305, United States
| | - Marlene L Heberling
- Department of Chemical and Systems Biology, Stanford University, Stanford, California 94305, United States
| | - Joshua E Elias
- Chan Zuckerberg Biohub, Stanford, California 94305, United States
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19
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Álvaro-Benito M, Freund C. Revisiting nonclassical HLA II functions in antigen presentation: Peptide editing and its modulation. HLA 2020; 96:415-429. [PMID: 32767512 DOI: 10.1111/tan.14007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 08/04/2020] [Indexed: 01/08/2023]
Abstract
The nonclassical major histocompatibility complex of class II molecules (ncMHCII) HLA-DM (DM) and HLA-DO (DO) feature essential functions for the selection of the peptides that are displayed by classical MHCII proteins (MHCII) for CD4+ Th cell surveillance. Thus, although the binding groove of classical MHCII dictates the main features of the peptides displayed, ncMHCII function defines the preferential loading of peptides from specific cellular compartments and the extent to which they are presented. DM acts as a chaperone for classical MHCII molecules facilitating peptide exchange and thereby favoring the binding of peptide-MHCII complexes of high kinetic stability mostly in late endosomal compartments. DO on the other hand binds to DM blocking its peptide-editing function in B cells and thymic epithelial cells, limiting DM activity in these cellular subsets. DM and DO distinct expression patterns therefore define specific antigen presentation profiles that select unique peptide pools for each set of antigen presenting cell. We have come a long way understanding the mechanistic underpinnings of such distinct editing profiles and start to grasp the implications for ncMHCII biological function. DM acts as filter for the selection of immunodominant, pathogen-derived epitopes while DO blocks DM activity under certain physiological conditions to promote tolerance to self. Interestingly, recent findings have shown that the unexplored and neglected ncMHCII genetic diversity modulates retroviral infection in mouse, and affects human ncMHCII function. This review aims at highlighting the importance of ncMHCII function for CD4+ Th cell responses while integrating and evaluating what could be the impact of distinct editing profiles because of natural genetic variations.
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Affiliation(s)
- Miguel Álvaro-Benito
- Laboratory of Protein Biochemistry, Institute für Chemie und Biochemie, Department of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Christian Freund
- Laboratory of Protein Biochemistry, Institute für Chemie und Biochemie, Department of Biology, Chemistry, Pharmacy, Freie Universität Berlin, Berlin, Germany
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20
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Morrison E, Wegner T, Zucchetti AE, Álvaro-Benito M, Zheng A, Kliche S, Krause E, Brügger B, Hivroz C, Freund C. Dynamic palmitoylation events following T-cell receptor signaling. Commun Biol 2020; 3:368. [PMID: 32651440 PMCID: PMC7351954 DOI: 10.1038/s42003-020-1063-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 05/19/2020] [Indexed: 12/20/2022] Open
Abstract
Palmitoylation is the reversible addition of palmitate to cysteine via a thioester linkage. The reversible nature of this modification makes it a prime candidate as a mechanism for regulating signal transduction in T-cell receptor signaling. Following stimulation of the T-cell receptor we find a number of proteins are newly palmitoylated, including those involved in vesicle-mediated transport and Ras signal transduction. Among these stimulation-dependent palmitoylation targets are the v-SNARE VAMP7, important for docking of vesicular LAT during TCR signaling, and the largely undescribed palmitoyl acyltransferase DHHC18 that is expressed in two isoforms in T cells. Using our newly developed On-Plate Palmitoylation Assay (OPPA), we show DHHC18 is capable of palmitoylating VAMP7 at Cys183. Cellular imaging shows that the palmitoylation-deficient protein fails to be retained at the Golgi and to localize to the immune synapse upon T cell activation.
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Affiliation(s)
- Eliot Morrison
- Freie Universität Berlin, Institute for Chemistry & Biochemistry, Laboratory of Protein Biochemistry, Thielallee 63, 14195, Berlin, Germany
| | - Tatjana Wegner
- Freie Universität Berlin, Institute for Chemistry & Biochemistry, Laboratory of Protein Biochemistry, Thielallee 63, 14195, Berlin, Germany
| | - Andres Ernesto Zucchetti
- Institut Curie, PSL Research University, INSERM U932, Integrative analysis of T cell activation team, 26 rue d'Ulm, 75248, Paris Cedex 05, France
| | - Miguel Álvaro-Benito
- Freie Universität Berlin, Institute for Chemistry & Biochemistry, Laboratory of Protein Biochemistry, Thielallee 63, 14195, Berlin, Germany
| | - Ashley Zheng
- Freie Universität Berlin, Institute for Chemistry & Biochemistry, Laboratory of Protein Biochemistry, Thielallee 63, 14195, Berlin, Germany
| | - Stefanie Kliche
- Otto-von-Guericke-University, Institute of Molecular and Clinical Immunology, Health Campus Immunology, Infectiology and Inflammation, Leipziger Strasse 44, 39120, Magdeburg, Germany
| | - Eberhard Krause
- Leibniz Institute for Molecular Pharmacology, Mass Spectrometry Unit, Robert-Rössle-Str 10, 13125, Berlin, Germany
| | - Britta Brügger
- Heidelberg University Biochemistry Center (BZH), Im Neuenheimer Feld 328, 69120, Heidelberg, Germany
| | - Claire Hivroz
- Institut Curie, PSL Research University, INSERM U932, Integrative analysis of T cell activation team, 26 rue d'Ulm, 75248, Paris Cedex 05, France
| | - Christian Freund
- Freie Universität Berlin, Institute for Chemistry & Biochemistry, Laboratory of Protein Biochemistry, Thielallee 63, 14195, Berlin, Germany.
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21
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Reynisson B, Barra C, Kaabinejadian S, Hildebrand WH, Peters B, Nielsen M. Improved Prediction of MHC II Antigen Presentation through Integration and Motif Deconvolution of Mass Spectrometry MHC Eluted Ligand Data. J Proteome Res 2020; 19:2304-2315. [PMID: 32308001 DOI: 10.1021/acs.jproteome.9b00874] [Citation(s) in RCA: 224] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Major histocompatibility complex II (MHC II) molecules play a vital role in the onset and control of cellular immunity. In a highly selective process, MHC II presents peptides derived from exogenous antigens on the surface of antigen-presenting cells for T cell scrutiny. Understanding the rules defining this presentation holds critical insights into the regulation and potential manipulation of the cellular immune system. Here, we apply the NNAlign_MA machine learning framework to analyze and integrate large-scale eluted MHC II ligand mass spectrometry (MS) data sets to advance prediction of CD4+ epitopes. NNAlign_MA allows integration of mixed data types, handling ligands with multiple potential allele annotations, encoding of ligand context, leveraging information between data sets, and has pan-specific power allowing accurate predictions outside the set of molecules included in the training data. Applying this framework, we identified accurate binding motifs of more than 50 MHC class II molecules described by MS data, particularly expanding coverage for DP and DQ beyond that obtained using current MS motif deconvolution techniques. Furthermore, in large-scale benchmarking, the final model termed NetMHCIIpan-4.0 demonstrated improved performance beyond current state-of-the-art predictors for ligand and CD4+ T cell epitope prediction. These results suggest that NNAlign_MA and NetMHCIIpan-4.0 are powerful tools for analysis of immunopeptidome MS data, prediction of T cell epitopes, and development of personalized immunotherapies.
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Affiliation(s)
- Birkir Reynisson
- Department of Health Technology, Technical University of Denmark, Lyngby 2800, Denmark
| | - Carolina Barra
- Department of Health Technology, Technical University of Denmark, Lyngby 2800, Denmark
| | | | - William H Hildebrand
- Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73104, United States
| | - Bjoern Peters
- Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, La Jolla, California 92037, United States.,Department of Medicine, University of California, San Diego, San Diego, California 92093, United States
| | - Morten Nielsen
- Department of Health Technology, Technical University of Denmark, Lyngby 2800, Denmark.,Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, San Martín CP1650, Argentina
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22
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Ebner F, Morrison E, Bertazzon M, Midha A, Hartmann S, Freund C, Álvaro-Benito M. CD4 + T h immunogenicity of the Ascaris spp. secreted products. NPJ Vaccines 2020; 5:25. [PMID: 32218997 PMCID: PMC7083960 DOI: 10.1038/s41541-020-0171-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 02/20/2020] [Indexed: 12/22/2022] Open
Abstract
Ascaris spp. is a major health problem of humans and animals alike, and understanding the immunogenicity of its antigens is required for developing urgently needed vaccines. The parasite-secreted products represent the most relevant, yet complex (>250 proteins) antigens of Ascaris spp. as defining the pathogen-host interplay. We applied an in vitro antigen processing system coupled to quantitative proteomics to identify potential CD4+ Th cell epitopes in Ascaris-secreted products. This approach considerably restricts the theoretical list of epitopes using conventional CD4+ Th cell epitope prediction tools. We demonstrate the specificity and utility of our approach on two sets of candidate lists, allowing us identifying hits excluded by either one or both computational methods. More importantly, one of the candidates identified experimentally, clearly demonstrates the presence of pathogen-reactive T cells in healthy human individuals against these antigens. Thus, our work pipeline identifies the first human T cell epitope against Ascaris spp. and represents an easily adaptable platform for characterization of complex antigens, in particular for those pathogens that are not easily amenable for in vivo experimental validation.
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Affiliation(s)
- Friederike Ebner
- 1Department of Veterinary Medicine, Institute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany
| | - Eliot Morrison
- 2Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany
| | - Miriam Bertazzon
- 2Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany
| | - Ankur Midha
- 1Department of Veterinary Medicine, Institute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany
| | - Susanne Hartmann
- 1Department of Veterinary Medicine, Institute of Immunology, Centre for Infection Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany
| | - Christian Freund
- 2Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany
| | - Miguel Álvaro-Benito
- 2Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195 Berlin, Germany
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23
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Álvaro-Benito M, Morrison E, Ebner F, Abualrous ET, Urbicht M, Wieczorek M, Freund C. Distinct editing functions of natural HLA-DM allotypes impact antigen presentation and CD4 + T cell activation. Cell Mol Immunol 2020; 17:133-142. [PMID: 30467419 PMCID: PMC7000412 DOI: 10.1038/s41423-018-0181-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 10/16/2018] [Indexed: 12/31/2022] Open
Abstract
Classical human leukocyte antigen (HLA) molecules of the major histocompatibility class II (MHCII) complex present peptides for the development, surveillance and activation of CD4+ T cells. The nonclassical MHCII-like protein HLA-DM (DM) catalyzes the exchange and loading of peptides onto MHCII molecules, thereby shaping MHCII immunopeptidomes. Natural variations of DM in both chains of the protein (DMA and DMB) have been hypothesized to impact peptide presentation, but no evidence for altered function has been reported. Here we define the presence of DM allotypes in human populations covered by the 1000 Genomes Project and probe their activity. The functional properties of several allotypes are investigated and show strong enhancement of peptide-induced T cell activation for a particular combination of DMA and DMB. Biochemical evidence suggests a broader pH activity profile for the new variant relative to that of the most commonly expressed DM allotype. Immunopeptidome analysis indicates that the compartmental activity of the new DM heterodimer extends beyond the late endosome and suggests that the natural variation of DM has profound effects on adaptive immunity when antigens bypass the canonical processing pathway.
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Affiliation(s)
- Miguel Álvaro-Benito
- Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195, Berlin, Germany.
| | - Eliot Morrison
- Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195, Berlin, Germany
| | - Friederike Ebner
- Institut für Immunologie, Department of Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, 14163, Berlin, Germany
| | - Esam T Abualrous
- Computational Molecular Biology Group, Institute for Mathematics, Freie Universität Berlin, Berlin, Germany
| | - Marie Urbicht
- Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195, Berlin, Germany
| | - Marek Wieczorek
- Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195, Berlin, Germany
| | - Christian Freund
- Laboratory of Protein Biochemistry, Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Thielallee 63, 14195, Berlin, Germany.
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24
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Mösch A, Raffegerst S, Weis M, Schendel DJ, Frishman D. Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors. Front Genet 2019; 10:1141. [PMID: 31798635 PMCID: PMC6878726 DOI: 10.3389/fgene.2019.01141] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/21/2019] [Indexed: 12/30/2022] Open
Abstract
In the last years, immunotherapies have shown tremendous success as treatments for multiple types of cancer. However, there are still many obstacles to overcome in order to increase response rates and identify effective therapies for every individual patient. Since there are many possibilities to boost a patient's immune response against a tumor and not all can be covered, this review is focused on T cell receptor-mediated therapies. CD8+ T cells can detect and destroy malignant cells by binding to peptides presented on cell surfaces by MHC (major histocompatibility complex) class I molecules. CD4+ T cells can also mediate powerful immune responses but their peptide recognition by MHC class II molecules is more complex, which is why the attention has been focused on CD8+ T cells. Therapies based on the power of T cells can, on the one hand, enhance T cell recognition by introducing TCRs that preferentially direct T cells to tumor sites (so called TCR-T therapy) or through vaccination to induce T cells in vivo. On the other hand, T cell activity can be improved by immune checkpoint inhibition or other means that help create a microenvironment favorable for cytotoxic T cell activity. The manifold ways in which the immune system and cancer interact with each other require not only the use of large omics datasets from gene, to transcript, to protein, and to peptide but also make the application of machine learning methods inevitable. Currently, discovering and selecting suitable TCRs is a very costly and work intensive in vitro process. To facilitate this process and to additionally allow for highly personalized therapies that can simultaneously target multiple patient-specific antigens, especially neoepitopes, breakthrough computational methods for predicting antigen presentation and TCR binding are urgently required. Particularly, potential cross-reactivity is a major consideration since off-target toxicity can pose a major threat to patient safety. The current speed at which not only datasets grow and are made available to the public, but also at which new machine learning methods evolve, is assuring that computational approaches will be able to help to solve problems that immunotherapies are still facing.
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Affiliation(s)
- Anja Mösch
- Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Silke Raffegerst
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Manon Weis
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Dolores J. Schendel
- Medigene Immunotherapies GmbH, a subsidiary of Medigene AG, Planegg, Germany
| | - Dmitrij Frishman
- Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany
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25
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Freund C, Höfer T. A Missing Switch in Peptide Exchange for MHC Class II Molecules. Front Immunol 2019; 10:2513. [PMID: 31708929 PMCID: PMC6820466 DOI: 10.3389/fimmu.2019.02513] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 10/08/2019] [Indexed: 11/21/2022] Open
Affiliation(s)
- Christian Freund
- Laboratory of Protein Biochemistry, Institute for Chemistry and Biochemistry, Freie Universität Berlin, Berlin, Germany
| | - Thomas Höfer
- Division of Theoretical Systems Biology, Deutsches Krebsforschungszentrum, Heidelberg, Germany
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26
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Shin J, Kwon Y, Lee S, Na S, Hong EY, Ju S, Jung HG, Kaushal P, Shin S, Back JH, Choi SY, Kim EH, Lee SJ, Park YE, Ahn HS, Ahn Y, Kabir MH, Park SJ, Yang WS, Yeom J, Bang OY, Ha CW, Lee JW, Kang UB, Kim HJ, Park KS, Lee JE, Lee JE, Kim JY, Kim KP, Kim Y, Hirano H, Yi EC, Cho JY, Paek E, Lee C. Common Repository of FBS Proteins (cRFP) To Be Added to a Search Database for Mass Spectrometric Analysis of Cell Secretome. J Proteome Res 2019; 18:3800-3806. [PMID: 31475827 DOI: 10.1021/acs.jproteome.9b00475] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
We propose to use cRFP (common Repository of FBS Proteins) in the MS (mass spectrometry) raw data search of cell secretomes. cRFP is a small supplementary sequence list of highly abundant fetal bovine serum proteins added to the reference database in use. The aim behind using cRFP is to prevent the contaminant FBS proteins from being misidentified as other proteins in the reference database, just as we would use cRAP (common Repository of Adventitious Proteins) to prevent contaminant proteins present either by accident or through unavoidable contacts from being misidentified as other proteins. We expect it to be widely used in experiments where the proteins are obtained from serum-free media after thorough washing of the cells, or from a complex media such as SILAC, or from extracellular vesicles directly.
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Affiliation(s)
- Jihye Shin
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Advanced Medical Research Center , Yokohama City University , Kanazawa , Yokohama 236-0004 , Japan
| | - Yumi Kwon
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Department of Life Science and Research Institute for Natural Sciences , Hanyang University , Seoul 04763 , Korea
| | - Seonjeong Lee
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Korea
| | - Seungjin Na
- Department of Computer Science , Hanyang University , Seoul 04763 , Korea
| | - Eun Young Hong
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea
| | - Shinyeong Ju
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Department of Life Science and Research Institute for Natural Sciences , Hanyang University , Seoul 04763 , Korea
| | - Hyun-Gyo Jung
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Korea
| | - Prashant Kaushal
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Korea
| | - Sungho Shin
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,KHU-KIST Department of Converging Science and Technology , Kyung Hee University , Seoul 02447 , Korea
| | - Ji Hyun Back
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Department of Biotechnology, College of Life Sciences and Biotechnology , Korea University , Seoul 02841 , Korea
| | - Seon Young Choi
- Department of Health Sciences and Technology, SAIHST , Sungkyunkwan University , Seoul 06351 , Korea.,Stem Cell & Regenerative Medicine Institute , Samsung Medical Center , Seoul 06351 , Korea
| | - Eun Hee Kim
- Stem Cell & Regenerative Medicine Institute , Samsung Medical Center , Seoul 06351 , Korea
| | - Su Jin Lee
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Department of Life Science, College of Natural Sciences , Ewha Womans University , Seoul 03760 , Korea
| | - Yae Eun Park
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Department of Biochemistry, College of Life Science and Biotechnology , Yonsei University , Seoul 03722 , Korea
| | - Hee-Sung Ahn
- Asan Institute for Life Sciences , Asan Medical Center , Seoul 05505 , Korea
| | - Younghee Ahn
- Departments of Pediatrics, Clinical Neurosciences, Physiology & Pharmacology, Alberta Children's Hospital Research Institute, Cumming School of Medicine , University of Calgary , Calgary , Alberta T2N 1N4 , Canada
| | | | | | - Won Suk Yang
- R&D Center for Clinical Mass Spectrometry , Seegene Medical Foundation , Seoul 04805 , Korea
| | - Jeonghun Yeom
- Toxicological Laboratory, Department of Emergency Medicine , Asan Medical Center , Seoul 05505 , Korea
| | - Oh Young Bang
- Departments of Neurology, Samsung Medical Center , Sungkyunkwan University , Seoul 06351 , Korea
| | - Chul-Won Ha
- Department of Health Sciences and Technology, SAIHST , Sungkyunkwan University , Seoul 06351 , Korea.,Stem Cell & Regenerative Medicine Institute , Samsung Medical Center , Seoul 06351 , Korea.,Department of Orthopedic Surgery, Samsung Medical Center , Sungkyunkwan University School of Medicine , Seoul 06351 , Korea
| | - Jin-Won Lee
- Department of Life Science and Research Institute for Natural Sciences , Hanyang University , Seoul 04763 , Korea
| | - Un-Beom Kang
- Core Protein Resources Center , Daegu Gyeongbuk Institute of Science and Technology , Daegu 42988 , Korea
| | - Hye-Jung Kim
- New Drug Development Center , KBIO Osong Medical Innovation Foundation , Cheongju-si , Chungbuk 28160 , Korea
| | - Kang-Sik Park
- KHU-KIST Department of Converging Science and Technology , Kyung Hee University , Seoul 02447 , Korea.,Department of Physiology, School of Medicine , Kyung Hee Univeristy , Seoul 02447 , Korea
| | - J Eugene Lee
- Center for Bioanalysis , Korea Research Institute of Standards and Science , Daejeon 34113 , Korea
| | - Ji Eun Lee
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea
| | - Jin Young Kim
- Biomedical Omics Research Group , Korea Basic Research Institute , Ochang , Chungbuk 28119 , Korea
| | - Kwang Pyo Kim
- Department of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials , Kyung Hee University , Yongin , Gyeonggi 17104 , Korea.,Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute , Kyung Hee University , Seoul 02453 , Korea
| | - Youngsoo Kim
- Department of Biomedical Engineering , Seoul National University College of Medicine , Seoul 03080 , Korea
| | - Hisashi Hirano
- Advanced Medical Research Center , Yokohama City University , Kanazawa , Yokohama 236-0004 , Japan
| | - Eugene C Yi
- Department of Molecular Medicine and Biopharmaceutical Sciences , Seoul National University , Seoul 03080 , Korea
| | - Je-Yoel Cho
- Department of Biochemistry, BK21 Plus and Research Institute for Veterinary Science, School of Veterinary Medicine , Seoul National University , Seoul 08826 , Korea
| | - Eunok Paek
- Department of Computer Science , Hanyang University , Seoul 04763 , Korea
| | - Cheolju Lee
- Center for Theragnosis, Korea Institute of Science and Technology , Seoul 02792 , Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Korea.,KHU-KIST Department of Converging Science and Technology , Kyung Hee University , Seoul 02447 , Korea
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27
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Jiang T, Shi T, Zhang H, Hu J, Song Y, Wei J, Ren S, Zhou C. Tumor neoantigens: from basic research to clinical applications. J Hematol Oncol 2019; 12:93. [PMID: 31492199 PMCID: PMC6731555 DOI: 10.1186/s13045-019-0787-5] [Citation(s) in RCA: 235] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 08/29/2019] [Indexed: 12/20/2022] Open
Abstract
Tumor neoantigen is the truly foreign protein and entirely absent from normal human organs/tissues. It could be specifically recognized by neoantigen-specific T cell receptors (TCRs) in the context of major histocompatibility complexes (MHCs) molecules. Emerging evidence has suggested that neoantigens play a critical role in tumor-specific T cell-mediated antitumor immune response and successful cancer immunotherapies. From a theoretical perspective, neoantigen is an ideal immunotherapy target because they are distinguished from germline and could be recognized as non-self by the host immune system. Neoantigen-based therapeutic personalized vaccines and adoptive T cell transfer have shown promising preliminary results. Furthermore, recent studies suggested the significant role of neoantigen in immune escape, immunoediting, and sensitivity to immune checkpoint inhibitors. In this review, we systematically summarize the recent advances of understanding and identification of tumor-specific neoantigens and its role on current cancer immunotherapies. We also discuss the ongoing development of strategies based on neoantigens and its future clinical applications.
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Affiliation(s)
- Tao Jiang
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.,Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, No. 507, Zheng Min Road, Shanghai, 200433, China
| | - Tao Shi
- The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, China
| | | | - Jie Hu
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuanlin Song
- Department of Pulmonary Medicine, Shanghai Respiratory Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia Wei
- The Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University, No. 321, Zhongshan Road, Nanjing, 210008, China.
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, No. 507, Zheng Min Road, Shanghai, 200433, China.
| | - Caicun Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, No. 507, Zheng Min Road, Shanghai, 200433, China.
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28
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Abelin JG, Harjanto D, Malloy M, Suri P, Colson T, Goulding SP, Creech AL, Serrano LR, Nasir G, Nasrullah Y, McGann CD, Velez D, Ting YS, Poran A, Rothenberg DA, Chhangawala S, Rubinsteyn A, Hammerbacher J, Gaynor RB, Fritsch EF, Greshock J, Oslund RC, Barthelme D, Addona TA, Arieta CM, Rooney MS. Defining HLA-II Ligand Processing and Binding Rules with Mass Spectrometry Enhances Cancer Epitope Prediction. Immunity 2019; 51:766-779.e17. [PMID: 31495665 DOI: 10.1016/j.immuni.2019.08.012] [Citation(s) in RCA: 153] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 06/19/2019] [Accepted: 08/15/2019] [Indexed: 12/30/2022]
Abstract
Increasing evidence indicates CD4+ T cells can recognize cancer-specific antigens and control tumor growth. However, it remains difficult to predict the antigens that will be presented by human leukocyte antigen class II molecules (HLA-II), hindering efforts to optimally target them therapeutically. Obstacles include inaccurate peptide-binding prediction and unsolved complexities of the HLA-II pathway. To address these challenges, we developed an improved technology for discovering HLA-II binding motifs and conducted a comprehensive analysis of tumor ligandomes to learn processing rules relevant in the tumor microenvironment. We profiled >40 HLA-II alleles and showed that binding motifs were highly sensitive to HLA-DM, a peptide-loading chaperone. We also revealed that intratumoral HLA-II presentation was dominated by professional antigen-presenting cells (APCs) rather than cancer cells. Integrating these observations, we developed algorithms that accurately predicted APC ligandomes, including peptides from phagocytosed cancer cells. These tools and biological insights will enable improved HLA-II-directed cancer therapies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Asaf Poran
- Neon Therapeutics, Cambridge, MA 02139, USA
| | | | | | - Alex Rubinsteyn
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jeff Hammerbacher
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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29
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Nanaware PP, Jurewicz MM, Leszyk JD, Shaffer SA, Stern LJ. HLA-DO Modulates the Diversity of the MHC-II Self-peptidome. Mol Cell Proteomics 2019; 18:490-503. [PMID: 30573663 PMCID: PMC6398211 DOI: 10.1074/mcp.ra118.000956] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 11/26/2018] [Indexed: 12/30/2022] Open
Abstract
Presentation of antigenic peptides on MHC-II molecules is essential for tolerance to self and for initiation of immune responses against foreign antigens. DO (HLA-DO in humans, H2-O in mice) is a nonclassical MHC-II protein that has been implicated in control of autoimmunity and regulation of neutralizing antibody responses to viruses. These effects likely are related to a role of DO in selecting MHC-II epitopes, but previous studies examining the effect of DO on presentation of selected CD4 T cell epitopes have been contradictory. To understand how DO modulates MHC-II antigen presentation, we characterized the full spectrum of peptides presented by MHC-II molecules expressed by DO-sufficient and DO-deficient antigen-presenting cells in vivo and in vitro using quantitative mass spectrometry approaches. We found that DO controlled the diversity of the presented peptide repertoire, with a subset of peptides presented only when DO was expressed. Antigen-presenting cells express another nonclassical MHC-II protein, DM, which acts as a peptide editor by preferentially catalyzing the exchange of less stable MHC-II peptide complexes, and which is inhibited when bound to DO. Peptides presented uniquely in the presence of DO were sensitive to DM-mediated exchange, suggesting that decreased DM editing was responsible for the increased diversity. DO-deficient mice mounted CD4 T cell responses against wild-type antigen-presenting cells, but not vice versa, indicating that DO-dependent alterations in the MHC-II peptidome could be recognized by circulating T cells. These data suggest that cell-specific and regulated expression of HLA-DO serves to fine-tune MHC-II peptidomes, in order to enhance self-tolerance to a wide spectrum of epitopes while allowing focused presentation of immunodominant epitopes during an immune response.
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Affiliation(s)
- Padma P Nanaware
- From the ‡Department of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts 01605
| | - Mollie M Jurewicz
- From the ‡Department of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts 01605
| | - John D Leszyk
- §Mass Spectrometry Facility, University of Massachusetts Medical School, Shrewsbury, Massachusetts 01545
| | - Scott A Shaffer
- §Mass Spectrometry Facility, University of Massachusetts Medical School, Shrewsbury, Massachusetts 01545
- ¶Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605
| | - Lawrence J Stern
- From the ‡Department of Pathology, University of Massachusetts Medical School, Worcester, Massachusetts 01605;
- ¶Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605
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30
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Class II MHC antigen processing in immune tolerance and inflammation. Immunogenetics 2018; 71:171-187. [PMID: 30421030 DOI: 10.1007/s00251-018-1095-x] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 10/31/2018] [Indexed: 01/22/2023]
Abstract
Presentation of peptide antigens by MHC-II proteins is prerequisite to effective CD4 T cell tolerance to self and to recognition of foreign antigens. Antigen uptake and processing pathways as well as expression of the peptide exchange factors HLA-DM and HLA-DO differ among the various professional and non-professional antigen-presenting cells and are modulated by cell developmental state and activation. Recent studies have highlighted the importance of these cell-specific factors in controlling the source and breadth of peptides presented by MHC-II under different conditions. During inflammation, increased presentation of selected self-peptides has implications for maintenance of peripheral tolerance and autoimmunity.
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