Literature DB >> 31744855

The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.

Juan Antonio Vizcaíno1, Peter Kubiniok2, Kevin A Kovalchik2, Qing Ma3, Jérôme D Duquette2, Ian Mongrain4, Eric W Deutsch5, Bjoern Peters6, Alessandro Sette6, Isabelle Sirois2, Etienne Caron7.   

Abstract

The science that investigates the ensembles of all peptides associated to human leukocyte antigen (HLA) molecules is termed "immunopeptidomics" and is typically driven by mass spectrometry (MS) technologies. Recent advances in MS technologies, neoantigen discovery and cancer immunotherapy have catalyzed the launch of the Human Immunopeptidome Project (HIPP) with the goal of providing a complete map of the human immunopeptidome and making the technology so robust that it will be available in every clinic. Here, we provide a long-term perspective of the field and we use this framework to explore how we think the completion of the HIPP will truly impact the society in the future. In this context, we introduce the concept of immunopeptidome-wide association studies (IWAS). We highlight the importance of large cohort studies for the future and how applying quantitative immunopeptidomics at population scale may provide a new look at individual predisposition to common immune diseases as well as responsiveness to vaccines and immunotherapies. Through this vision, we aim to provide a fresh view of the field to stimulate new discussions within the community, and present what we see as the key challenges for the future for unlocking the full potential of immunopeptidomics in this era of precision medicine.
© 2020 Vizcaíno et al.

Entities:  

Keywords:  HLA/MHC; IWAS; Immunology; cancer therapeutics; immunopeptidome; infectious disease; mass spectrometry; peptides

Mesh:

Substances:

Year:  2019        PMID: 31744855      PMCID: PMC6944237          DOI: 10.1074/mcp.R119.001743

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  218 in total

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Journal:  Sci Immunol       Date:  2019-08-16

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7.  An open-source computational and data resource to analyze digital maps of immunopeptidomes.

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Journal:  Elife       Date:  2017-12-05       Impact factor: 8.140

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Review 4.  Spliced HLA-bound peptides: a Black Swan event in immunology.

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6.  Most non-canonical proteins uniquely populate the proteome or immunopeptidome.

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Review 7.  Deciphering Human Leukocyte Antigen Susceptibility Maps From Immunopeptidomics Characterization in Oncology and Infections.

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Journal:  Front Cell Infect Microbiol       Date:  2021-05-28       Impact factor: 5.293

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Review 9.  Critical Review of Existing MHC I Immunopeptidome Isolation Methods.

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Review 10.  Variations in MHC class I antigen presentation and immunopeptidome selection pathways.

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