2024
Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines
Kovalchik K, Hamelin D, Kubiniok P, Bourdin B, Mostefai F, Poujol R, Paré B, Simpson S, Sidney J, Bonneil É, Courcelles M, Saini S, Shahbazy M, Kapoor S, Rajesh V, Weitzen M, Grenier J, Gharsallaoui B, Maréchal L, Wu Z, Savoie C, Sette A, Thibault P, Sirois I, Smith M, Decaluwe H, Hussin J, Lavallée-Adam M, Caron E. Machine learning-enhanced immunopeptidomics applied to T-cell epitope discovery for COVID-19 vaccines. Nature Communications 2024, 15: 10316. PMID: 39609459, PMCID: PMC11604954, DOI: 10.1038/s41467-024-54734-9.Peer-Reviewed Original ResearchConceptsT cell epitopesT cellsCD8+ T cell epitopesT cell immunityT cell epitope discoverySARS-CoV-2T-cell-directed vaccinationDesigning effective vaccinesB7 supertypePatient's proteomesSARS-CoV-2 variantsVaccine epitopesViral antigensSpike antigenVaccine developmentEffective vaccineEpitope discoveryCOVID-19 vaccineVaccineEpitopesAntigenic featuresOmicron variantAntigenCOVID-19CD8Hypoxia is linked to acquired resistance to immune checkpoint inhibitors in lung cancer
Robles-Oteíza C, Hastings K, Choi J, Sirois I, Ravi A, Expósito F, de Miguel F, Knight J, López-Giráldez F, Choi H, Socci N, Merghoub T, Awad M, Getz G, Gainor J, Hellmann M, Caron É, Kaech S, Politi K. Hypoxia is linked to acquired resistance to immune checkpoint inhibitors in lung cancer. Journal Of Experimental Medicine 2024, 222: e20231106. PMID: 39585348, DOI: 10.1084/jem.20231106.Peer-Reviewed Original ResearchConceptsImmune checkpoint inhibitorsNon-small cell lung cancerAcquired resistanceCheckpoint inhibitorsResistant tumorsPatients treated with anti-PD-1/PD-L1 therapyAnti-PD-1/PD-L1 therapyLung cancerResistance to immune checkpoint inhibitorsAssociated with decreased progression-free survivalHypoxia activated pro-drugsTargeting hypoxic tumor regionsTreat non-small cell lung cancerAnti-CTLA-4Anti-PD-1Immune checkpoint inhibitionTumor metabolic featuresProgression-free survivalCell lung cancerResistant cancer cellsHypoxic tumor regionsMHC-II levelsRegions of hypoxiaKnock-outCheckpoint inhibitionDeciphering the HLA-E immunopeptidome with mass spectrometry: an opportunity for universal mRNA vaccines and T-cell-directed immunotherapies
Weitzen M, Shahbazy M, Kapoor S, Caron E. Deciphering the HLA-E immunopeptidome with mass spectrometry: an opportunity for universal mRNA vaccines and T-cell-directed immunotherapies. Frontiers In Immunology 2024, 15: 1442783. PMID: 39301027, PMCID: PMC11410602, DOI: 10.3389/fimmu.2024.1442783.Peer-Reviewed Original ResearchMass spectrometryHLA-EHLA moleculesT-cell-directed immunotherapyCD8+ T cellsNovel cell surface antigensNon-classical HLA-EHLA-E moleculesCell surface antigensPeptides to CD8T cellsMRNA vaccinesTherapeutic efficacySurface antigensImmunotherapyMoleculesSpectrometryTherapeutic targetImmunopeptidomePathogen-derivedCD8Peptide repertoirePeptide fragmentsHLAMinimal polymorphism
2023
Scaling up robust immunopeptidomics technologies for a global T cell surveillance digital network
Kapoor S, Maréchal L, Sirois I, Caron É. Scaling up robust immunopeptidomics technologies for a global T cell surveillance digital network. Journal Of Experimental Medicine 2023, 221: e20231739. PMID: 38032361, PMCID: PMC10689202, DOI: 10.1084/jem.20231739.Peer-Reviewed Original ResearchThe SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics
Huang X, Gan Z, Cui H, Lan T, Liu Y, Caron E, Shao W. The SysteMHC Atlas v2.0, an updated resource for mass spectrometry-based immunopeptidomics. Nucleic Acids Research 2023, 52: d1062-d1071. PMID: 38000392, PMCID: PMC10767952, DOI: 10.1093/nar/gkad1068.Peer-Reviewed Original ResearchIntegrated Immunopeptidomics and Proteomics Study of SARS-CoV-2–Infected Calu-3 Cells Reveals Dynamic Changes in Allele-specific HLA Abundance and Antigen Presentation
Chen R, Fulton K, Tran A, Duque D, Kovalchik K, Caron E, Twine S, Li J. Integrated Immunopeptidomics and Proteomics Study of SARS-CoV-2–Infected Calu-3 Cells Reveals Dynamic Changes in Allele-specific HLA Abundance and Antigen Presentation. Molecular & Cellular Proteomics 2023, 22: 100645. PMID: 37709257, PMCID: PMC10580047, DOI: 10.1016/j.mcpro.2023.100645.Peer-Reviewed Original ResearchSARS-CoV-2 infectionHuman leukocyte antigenAdaptive immune systemHLA allelesAntigen presentationAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionImmune systemSyndrome coronavirus 2 infectionCoronavirus disease 2019 (COVID-19) casesHost proteome changesCoronavirus 2 infectionCertain HLA allelesToll-like receptorsDifferent HLA allelesCoronavirus disease 2019Calu-3 cellsHost cellsLeukocyte antigenViral antigensDisease 2019Viral infectionDevelopment of therapeuticsInfectionClass IUnlocking the potential of microfluidics in mass spectrometry-based immunopeptidomics for tumor antigen discovery
Stutzmann C, Peng J, Wu Z, Savoie C, Sirois I, Thibault P, Wheeler A, Caron E. Unlocking the potential of microfluidics in mass spectrometry-based immunopeptidomics for tumor antigen discovery. Cell Reports Methods 2023, 3: 100511. PMID: 37426761, PMCID: PMC10326451, DOI: 10.1016/j.crmeth.2023.100511.Peer-Reviewed Original ResearchConceptsSingle-cell proteomicsMicrofluidic technologyPotential of microfluidicsMass spectrometrySample preparationDroplet microfluidicsDigital microfluidicsMicrofluidic methodPhysical moleculesMicrofluidicsHigh sensitivityReproducible mannerPillar arraysRecent advancesSpectrometryMoleculesImmunopeptidomicsPowerful toolProteomicsPreparationMSPeptidesSolutionIntroduction to the Special Issue: The Immunopeptidome
Caron É, Perreault C. Introduction to the Special Issue: The Immunopeptidome. Seminars In Immunology 2023, 69: 101798. PMID: 37348326, DOI: 10.1016/j.smim.2023.101798.Peer-Reviewed Original Research
2022
Cellular senescence is immunogenic and promotes anti-tumor immunity
Marin I, Boix O, Garcia-Garijo A, Sirois I, Caballe A, Zarzuela E, Ruano I, Attolini C, Prats N, López-Domínguez J, Kovatcheva M, Garralda E, Muñoz J, Caron E, Abad M, Gros A, Pietrocola F, Serrano M. Cellular senescence is immunogenic and promotes anti-tumor immunity. Cancer Discovery 2022, 13: 410-431. PMID: 36302218, PMCID: PMC7614152, DOI: 10.1158/2159-8290.cd-22-0523.Peer-Reviewed Original ResearchConceptsCD8 T cellsAntitumor immune responseImmunogenic cell deathDendritic cellsSenescent cancer cellsT cellsCancer cellsImmune responseAntigen-specific CD8 T cellsSenescent cellsRelease of alarminsAnti-tumor immunityInnate immune cellsHuman primary cancer cellsActivation of IFNCellular senescencePrimary cancer cellsAdaptive immune systemCell deathCD8 lymphocytesAntitumor protectionImmune cellsImmune systemContext of cancerInduction of senescencePopulation Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages
Mostefai F, Gamache I, N'Guessan A, Pelletier J, Huang J, Murall CL, Pesaranghader A, Gaonac'h-Lovejoy V, Hamelin DJ, Poujol R, Grenier JC, Smith M, Caron E, Craig M, Wolf G, Krishnaswamy S, Shapiro BJ, Hussin JG. Population Genomics Approaches for Genetic Characterization of SARS-CoV-2 Lineages. Frontiers In Medicine 2022, 9: 826746. PMID: 35265640, PMCID: PMC8899026, DOI: 10.3389/fmed.2022.826746.Peer-Reviewed Original ResearchPopulation genomic approachesStandard phylogenetic approachesGenome sequencing dataHaplotype networkGenomic approachesPhylogenetic approachTajima's DHigh-quality consensus sequencesGenetic diversityPopulation geneticsGenomic variationConsensus sequenceLineage expansionSequencing dataSARS-CoV-2 diversityGenetic characterizationLineage identificationDiversity landscapeInfection pathwaySARS-CoV-2 lineagesRecurrent mutationsGISAID databaseSARS-CoV-2DiversityPathogensUnderstanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues
Kubiniok P, Marcu A, Bichmann L, Kuchenbecker L, Schuster H, Hamelin D, Duquette J, Kovalchik K, Wessling L, Kohlbacher O, Rammensee H, Neidert M, Sirois I, Caron E. Understanding the constitutive presentation of MHC class I immunopeptidomes in primary tissues. IScience 2022, 25: 103768. PMID: 35141507, PMCID: PMC8810409, DOI: 10.1016/j.isci.2022.103768.Peer-Reviewed Original Research
2021
Generation of HLA Allele-Specific Spectral Libraries to Identify and Quantify Immunopeptidomes by SWATH/DIA-MS
Kovalchik K, Hamelin D, Caron E. Generation of HLA Allele-Specific Spectral Libraries to Identify and Quantify Immunopeptidomes by SWATH/DIA-MS. Methods In Molecular Biology 2021, 2420: 137-147. PMID: 34905171, DOI: 10.1007/978-1-0716-1936-0_11.Peer-Reviewed Original ResearchMhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets
Kovalchik K, Ma Q, Wessling L, Saab F, Duquette J, Kubiniok P, Hamelin D, Faridi P, Li C, Purcell A, Jang A, Paramithiotis E, Tognetti M, Reiter L, Bruderer R, Lanoix J, Bonneil É, Courcelles M, Thibault P, Caron E, Sirois I. MhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets. Molecular & Cellular Proteomics 2021, 21: 100178. PMID: 34798331, PMCID: PMC8717601, DOI: 10.1016/j.mcpro.2021.100178.Peer-Reviewed Original ResearchConceptsModern web browsersLarge-scale datasetsQuality control softwareWeb browserHTML formatControl softwareSoftware toolsProteomics core facilitiesConsolidated viewDatasetImmunopeptidomic datasetsHigh-throughput technologiesDecision-making processData interpretationBrowserInstrument operatorsComputerAssurance systemAlgorithmQuality controlSoftwareCore facilitiesFormatServicesTechnologyRHybridFinder: An R package to process immunopeptidomic data for putative hybrid peptide discovery
Saab F, Hamelin D, Ma Q, Kovalchik K, Sirois I, Faridi P, Li C, Purcell A, Kubiniok P, Caron E. RHybridFinder: An R package to process immunopeptidomic data for putative hybrid peptide discovery. STAR Protocols 2021, 2: 100875. PMID: 34746858, PMCID: PMC8551247, DOI: 10.1016/j.xpro.2021.100875.Peer-Reviewed Original ResearchImmunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis.
Sirois I, Isabelle M, Duquette J, Saab F, Caron E. Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis. Journal Of Visualized Experiments 2021 PMID: 34723952, DOI: 10.3791/63052.Peer-Reviewed Original ResearchConceptsImmunopeptidomics workflowsComposition of peptidesSample preparation procedureQuality control samplesMass spectrometry analysisPreparation procedureElution efficiencySample preparationSpectrometry analysisPeptidesImmunoaffinity purificationReagentsMoleculesComplexesPreparationPurificationStepMHC-peptide complexesControl samplesImmunopeptidomicsNew protocolReproducibilityEfficiencyBeadsTechnology platformImmunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
Sirois I, Isabelle M, Duquette J, Saab F, Caron E. Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis. Journal Of Visualized Experiments 2021 DOI: 10.3791/63052-v.Peer-Reviewed Original ResearchThe mutational landscape of SARS-CoV-2 variants diversifies T cell targets in an HLA-supertype-dependent manner
Hamelin D, Fournelle D, Grenier J, Schockaert J, Kovalchik K, Kubiniok P, Mostefai F, Duquette J, Saab F, Sirois I, Smith M, Pattijn S, Soudeyns H, Decaluwe H, Hussin J, Caron E. The mutational landscape of SARS-CoV-2 variants diversifies T cell targets in an HLA-supertype-dependent manner. Cell Systems 2021, 13: 143-157.e3. PMID: 34637888, PMCID: PMC8492600, DOI: 10.1016/j.cels.2021.09.013.Peer-Reviewed Original ResearchConceptsSARS-CoV-2SARS-CoV-2 TSARS-CoV-2 variantsHLA-B allelesMutational landscapeFirst yearCell immunityCell immunosurveillanceCell epitopesMass vaccinationDelta variantCell targetsRNA levelsImmunodominant onesMutation typeEpitopesPrevalent mutantsPopulation levelCD8PandemicImmunosurveillanceVaccinationHLAYearsImmunity
2020
The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses
Shao W, Caron E, Pedrioli P, Aebersold R. The SysteMHC Atlas: a Computational Pipeline, a Website, and a Data Repository for Immunopeptidomic Analyses. Methods In Molecular Biology 2020, 2120: 173-181. PMID: 32124319, DOI: 10.1007/978-1-0716-0327-7_12.Peer-Reviewed Original Research
2019
The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases*
Vizcaíno J, Kubiniok P, Kovalchik K, Ma Q, Duquette J, Mongrain I, Deutsch E, Peters B, Sette A, Sirois I, Caron E. The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases*. Molecular & Cellular Proteomics 2019, 19: 31-49. PMID: 31744855, PMCID: PMC6944237, DOI: 10.1074/mcp.r119.001743.Peer-Reviewed Original Research
2018
A tissue-based draft map of the murine MHC class I immunopeptidome
Schuster H, Shao W, Weiss T, Pedrioli P, Roth P, Weller M, Campbell D, Deutsch E, Moritz R, Planz O, Rammensee H, Aebersold R, Caron E. A tissue-based draft map of the murine MHC class I immunopeptidome. Scientific Data 2018, 5: 180157. PMID: 30084848, PMCID: PMC6080492, DOI: 10.1038/sdata.2018.157.Peer-Reviewed Original ResearchConceptsMHC class IClass IMurine MHC class IPotential tumor-associated antigenMajor histocompatibility complex class IHistocompatibility complex class ITumor-associated antigensComplex class IC57BL/6 miceT cellsTranslational immunologyCancer modelImmune systemNormal tissuesMS injectionMost tissuesTissueInitial qualitative dataTotal numberPeptidesCD8AtlasAntigenMice