Gaynor, R. B. | bioRxiv Science

bioRxiv2026

Comprehensive Profiling of Monkeypox Virus Antigens Identifies Potent Targets for Next-Generation mRNA Vaccine Development

The 2022 Monkeypox virus (MPXV) outbreak renewed interest in vaccines for orthopoxviruses. Initial development efforts focused on well-established antigen targets, especially A35, B6, and M1. However, orthopoxvirus surfaces are complex, displaying many antigens across two infectious forms, mature virions (MV) and extracellular virions (EV) and targets relevant to protection remain to be comprehensively defined. We leveraged advances in orthopoxvirus protein biology and mRNA vaccine technology to compare immunity to all feasible targets. Mice were immunized with mRNAs encoding each antigen, or antigen complex, and neutralizing antibody responses were measured prior to heterologous challenge with vaccinia virus. Among MV antigens, A28 induced potent complement-mediated neutralizing antibodies, and the A17:G10 complex induced neutralizing antibodies and protected from challenge. For EV antigens, A36 induced neutralizing antibodies and protected from challenge. Our results affirm the consensus strategy focusing on key antigens while highlighting additional targets that could enhance updated MPXV mRNA vaccines. SIGNIFICANCEMonkeypox virus, a member of the Orthopoxvirus genus along with variola virus, has been associated with two recent outbreaks of mpox disease leading to a renewed focus on orthopoxvirus vaccine development. We report an agnostic screen of all monkeypox virus surface antigens where we combined recent advances in structural biology and mRNA technology to evaluate these potential new vaccine targets. We confirmed that historically prioritized antigens M1, A35 and B6 were protective but also discovered new antigens of interest including A28, the A17:G10 complex and A36 that can be the targets of protective immune responses. These findings are critical to inform next-generation vaccine designs should novel orthopoxviruses emerge as human pathogens.

microbiology↗

bioRxiv2020

Sequence-based prediction of vaccine targets for inducing T cell responses to SARS-CoV-2 utilizing the bioinformatics predictor RECON

BackgroundThe ongoing COVID-19 pandemic has created an urgency to identify novel vaccine targets for protective immunity against SARS-CoV-2. Consistent with observations for SARS-CoV, a closely related coronavirus responsible for the 2003 SARS outbreak, early reports identify a protective role for both humoral and cell-mediated immunity for SARS CoV-2. MethodsIn this study, we leveraged HLA-I and HLA-II T cell epitope prediction tools from RECON(R) (Real-time Epitope Computation for ONcology), our bioinformatic pipeline that was developed using proteomic profiling of individual HLA-I and HLA-II alleles to predict rules for peptide binding to a diverse set of such alleles. We applied these binding predictors to viral genomes from the Coronaviridae family, and specifically to identify SARS-CoV-2 T cell epitopes. ResultsTo test the suitability of these tools to identify viral T cell epitopes, we first validated HLA-I and HLA-II predictions on Coronaviridae family epitopes deposited in the Virus Pathogen Database and Analysis Resource (ViPR) database. We then use our HLA-I and HLA-II predictors to identify 11,776 HLA-I and 7,991 HLA-II candidate binding peptides across all 12 open reading frames (ORFs) of SARS-CoV-2. This extensive list of identified candidate peptides is driven by the length of the ORFs and the significant number of HLA-I and HLA-II alleles that we are able to predict (74 and 83, respectively), providing over 99% coverage for the US, European and Asian populations, for both HLA-I and HLA-II. From our SARS-CoV-2 predicted peptide-HLA-I allele pairs, 368 pairs identically matched previously reported pairs in the ViPR database, originating from other forms of coronaviruses. 320 of these pairs (89.1%) had a positive MHC-binding assay result. This analysis reinforces the validity our predictions. ConclusionsUsing this bioinformatic platform, we identify multiple putative epitopes for CD4+ and CD8+ T cells whose HLA binding properties cover nearly the entire population and thus may be effective when included in prophylactic vaccines against SARS-CoV-2 to induce broad cellular immunity.

bioinformatics↗