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Enregistrement W4386629401 · doi:10.1016/j.mcpro.2023.100645

Integrated Immunopeptidomics and Proteomics Study of SARS-CoV-2–Infected Calu-3 Cells Reveals Dynamic Changes in Allele-specific HLA Abundance and Antigen Presentation

2023· article· en· W4386629401 sur OpenAlexafffund
Rui Chen, Kelly M. Fulton, Anh Tran, Diana Duque, Kevin A. Kovalchik, Étienne Caron, Susan M. Twine, Jianjun Li

Notice bibliographique

RevueMolecular & Cellular Proteomics · 2023
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
Thématiquevaccines and immunoinformatics approaches
Établissements canadiensUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineNational Research Council Canada
Organismes subventionnairesNational Research Council CanadaCentre hospitalier universitaire Sainte-Justine
Mots-clésBiologyHuman leukocyte antigenAntigen presentationAntigenImmunologyProteomeImmune systemMajor histocompatibility complexProteomicsAlleleVirologyGeneticsGeneT cell

Résumé

récupéré en direct d'OpenAlex

•Host response to SARS-CoV-2 infection comprehensively deciphered.•Both class I and class II viral epitopes were identified by immunopeptidomics.•Activation of TLR3-IFN pathway and downregulation of ACE2 identified.•Allele-specific changes in HLA identified and correlates with antigen presentation. We present an integrated immunopeptidomics and proteomics study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection to comprehensively decipher the changes in host cells in response to viral infection. Immunopeptidomics analysis identified viral antigens presented by host cells through both class I and class II MHC system for recognition by the adaptive immune system. The host proteome changes were characterized by quantitative proteomics and glycoproteomics and from these data, the activation of toll-like receptor 3–interferon pathway was identified. Glycosylation analysis of human leukocyte antigen (HLA) proteins from the elution and flow-through of immunoprecipitation revealed that SARS-CoV-2 infection changed the glycosylation pattern of certain HLA alleles with different HLA alleles, showing distinct dynamic changes in relative abundance. The difference in the glycosylation and abundance of HLA alleles changed the number of strong binding antigens each allele presented, suggesting the impact of SARS-CoV-2 infection on antigen presentation is allele-specific. These results could be further exploited to explain the imbalanced response from innate and adaptive immune system in coronavirus disease 2019 cases, which would be helpful for the development of therapeutics and vaccine for coronavirus disease 2019 and preparation for future pandemic. We present an integrated immunopeptidomics and proteomics study of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection to comprehensively decipher the changes in host cells in response to viral infection. Immunopeptidomics analysis identified viral antigens presented by host cells through both class I and class II MHC system for recognition by the adaptive immune system. The host proteome changes were characterized by quantitative proteomics and glycoproteomics and from these data, the activation of toll-like receptor 3–interferon pathway was identified. Glycosylation analysis of human leukocyte antigen (HLA) proteins from the elution and flow-through of immunoprecipitation revealed that SARS-CoV-2 infection changed the glycosylation pattern of certain HLA alleles with different HLA alleles, showing distinct dynamic changes in relative abundance. The difference in the glycosylation and abundance of HLA alleles changed the number of strong binding antigens each allele presented, suggesting the impact of SARS-CoV-2 infection on antigen presentation is allele-specific. These results could be further exploited to explain the imbalanced response from innate and adaptive immune system in coronavirus disease 2019 cases, which would be helpful for the development of therapeutics and vaccine for coronavirus disease 2019 and preparation for future pandemic. The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19), which was declared a pandemic in March 2020. Since then, the world has witnessed the mobilization of the global scientific community toward the fastest vaccine development in history. Currently, there are 14 vaccines approved by WHO for emergency use globally, with another 341 in various stages of development. Three years after the discovery of the novel coronavirus, there is still a need to understand how the virus mobilizes the host cellular pathways to allow rapid infection and replication and identify the key viral epitopes that stimulate the host immune system to generate protective immunity. SARS-CoV-2 is a beta coronavirus, a member of the Coronaviridae family of viruses, which include four subgroups, denoted alpha, beta, gamma, and delta. Together, the family infect a wide range of mammal and bird species, with mutations allowing the viruses to cross the species barrier. SARS-CoV-2 has a 30 kb positive–sense RNA genome, with 14 ORFs that encode a total of 29 proteins. These include four structural proteins (spike, envelope, membrane, and nucleocapsid protein), 16 nonstructural proteins (Nsp 1–16) and nine accessory proteins (Orf 3a, Orf 3b, Orf6, Orf 7a, Orf 7b, Orf8, Orf 9b, Orf 9c, and Orf 10) (1Yao H. Song Y. Chen Y. Wu N. Xu J. Sun C. et al.Molecular architecture of the SARS-CoV-2 virus.Cell. 2020; 183: 730-738Abstract Full Text Full Text PDF PubMed Scopus (641) Google Scholar). Built on the knowledge of related coronaviruses, recent studies have illuminated the life cycle of SARS-CoV-2 (2Chu H. Chan J.F.-W. Yuen T.T.-T. Shuai H. Yuan S. Wang Y. et al.Comparative tropism, replication kinetics, and cell damage profiling of SARS-CoV-2 and SARS-CoV with implications for clinical manifestations, transmissibility, and laboratory studies of COVID-19: an observational study.Lancet Microbe. 2020; 1: e14-e23Abstract Full Text Full Text PDF PubMed Google Scholar). This virus enters cells via the binding of the spike structural protein to human angiotensin–converting enzyme 2 (ACE2) on the surface of host cells. Intracellularly, the viral genome is transcribed by the host ribosomes. The viral genome is replicated by the viral RNA–dependent RNA polymerase, on membrane structures derived from the endoplasmic reticulum (ER). Assembly of mature virions occurs in the ER-Golgi intermediate compartment, budding from the ER-Golgi membranes before been released outside the cells via an exocytosis like process (3Fung T.S. Liu D.X. Human coronavirus: host-pathogen interaction.Annu. Rev. Microbiol. 2019; 73: 529-557Crossref PubMed Scopus (652) Google Scholar). Despite the rapid progress made by the scientific community, the emergence of variants of concern (VoCs) continues to challenge vaccine and drug developers. Although the currently approved vaccines showed excellent efficacy toward the original SARS-CoV-2, vaccine breakthrough infections have been observed with several VoCs. This continues to highlight the need to build on our current knowledge of the host response to the virus, in particular the modified signaling pathways to allow viral infection and viral epitopes presented to the immune system. The genome sequence of SARS-CoV-2 was widely disseminated in the early 2020 (4Wu S. Chen Wang Song et coronavirus with human respiratory disease in 2020; PubMed Scopus Google the rapid of with the novel coronavirus both and Although vaccines the original virus and in of of infection and of there is still a need for vaccines and vaccines that from current and variants of are viral to an need to understand immune to viral for how cells could variants H. cells could in of PubMed Scopus Google Scholar). infect host cells and proteins are and presented on the surface of human cells by cells antigens and an immune response that the cells. The of the presented on MHC is the and knowledge of the on that cells. This the of the viral epitopes presented to the host immune system. in are to immune is these epitopes protective stimulate cell in the that viruses the and presentation of viral antigens by host cells. viruses have been to the host cell protein and human leukocyte antigen I MHC class I antigen from viral Rev. PubMed Scopus Google Scholar). of viral on which that there is a of viral epitopes early on infection of host cells et of antigen and presentation virus PubMed Scopus Google Scholar). a studies use in to binding J. et of cell to SARS-CoV-2 coronavirus in with disease and 2020; Full Text Full Text PDF PubMed Scopus Google J. et analysis of cell and of SARS-CoV-2 epitopes in of SARS-CoV-2 epitopes HLA class I 2020; Google et of SARS-CoV-2 vaccine a cell 2020; Scopus Google et cell and cell activation in PubMed Scopus Google Wang Y. et cells of epitopes in SARS-CoV-2 that outside the spike 2020; Full Text Full Text PDF PubMed Scopus Google Scholar). in a of immune the to be and the identified need to be for to cells. of is be to identify viral to and is a and to presented The has been in viral infections and revealed antigens that cell virus et discovery in virus and immune recognition of viral S. PubMed Scopus Google N. H. S. et the HLA class viral antigen from human J. 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,018
Tête enseignante GPT0,252
Écart entre enseignants0,234 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission2
Résumé présentoui

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Même revueMolecular & Cellular ProteomicsMême sujetvaccines and immunoinformatics approachesTravaux en français237 207