scholarly journals T Cell Epitope-Based Vaccine Design for Pandemic Novel Coronavirus 2019-nCoV

Author(s):  
Dr. Seema Mishra

Immunoinformatics approach has been used to identify potential T cell epitopes from structural and non-structural proteins for immunotherapy against novel coronavirus 2019-nCoV across populations Two different prediction algorithms, NetCTLpan and Pickpocket were used to generate consensus epitopes against HLA supertypes. All of the 57 epitopes identified had no similarity/identity with the human proteome thus preventing crossreactivity. Many of these epitopes formed a tight cluster around consensus sequences <p>MGYINVFAFPFTIYSLLLC and KVSIWNLDYIINLI across proteins and alleles. These should be urgently tested in <i>in-vitro</i> MHC binding and T cell assays before being tried as vaccines to further prevent pandemic due to this lethal coronavirus.<br></p>

2020 ◽  
Author(s):  
Dr. Seema Mishra

Immunoinformatics approach has been used to identify potential T cell epitopes from structural and non-structural proteins for immunotherapy against novel coronavirus 2019-nCoV across populations Two different prediction algorithms, NetCTLpan and Pickpocket were used to generate consensus epitopes against HLA supertypes. All of the 57 epitopes identified had no similarity/identity with the human proteome thus preventing crossreactivity. Many of these epitopes formed a tight cluster around consensus sequences <p>MGYINVFAFPFTIYSLLLC and KVSIWNLDYIINLI across proteins and alleles. These should be urgently tested in <i>in-vitro</i> MHC binding and T cell assays before being tried as vaccines to further prevent pandemic due to this lethal coronavirus.<br></p>


Author(s):  
Dr. Seema Mishra

Immunoinformatics approach has been used to identify potential T cell epitopes from structural and non-structural proteins for immunotherapy against novel coronavirus 2019-nCoV across populations Two different prediction algorithms, NetCTLpan and Pickpocket were used to generate consensus epitopes against HLA supertypes. All of the 57 epitopes identified had no similarity/identity with the human proteome thus preventing crossreactivity. Many of these epitopes formed a tight cluster around consensus sequences <p>MGYINVFAFPFTIYSLLLC and KVSIWNLDYIINLI across proteins and alleles. These should be urgently tested in <i>in-vitro</i> MHC binding and T cell assays before being tried as vaccines to further prevent pandemic due to this lethal coronavirus.<br></p>


2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Bruno Garulli ◽  
Giuseppina Di Mario ◽  
Ester Sciaraffia ◽  
Yoshihiro Kawaoka ◽  
Maria R. Castrucci

Recombinant influenza viruses that bear the single immunodominant CD8+ T cell epitopeOVA257−264or the CD4+ T cell epitopeOVA323−339of the model antigen ovalbumin (OVA) have been useful tools in immunology. Here, we generated a recombinant influenza virus,WSN-OVAI/II, that bears both OVA-specific CD8+ and CD4+ epitopes on its hemagglutinin molecule. Live and heat-inactivatedWSN-OVAI/IIviruses were efficiently presented by dendritic cellsin vitroto OT-I TCR transgenic CD8+ T cells and OT-II TCR transgenic CD4+ T cells.In vivo,WSN-OVAI/IIvirus was attenuated in virulence, highly immunogenic, and protected mice from B16-OVA tumor challenge in a prophylactic model of vaccination. Thus,WSN-OVAI/IIvirus represents an additional tool, along with OVA TCR transgenic mice, for further studies on T cell responses and may be of value in vaccine design.


Author(s):  
Arpita Singha Roy ◽  
Mahafujul Islam Quadery Tonmoy ◽  
Atqiya Fariha ◽  
Ithmam Hami ◽  
Ibrahim Khalil Afif ◽  
...  

AbstractSevere Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is the novel coronavirus responsible for the ongoing pandemic of coronavirus disease (COVID-19). No sustainable treatment option is available so far to tackle such a public health threat. Therefore, designing a suitable vaccine to overcome this hurdle asks for immediate attention. In this study, we targeted for a design of multi-epitope based vaccine using immunoinformatics tools. We considered the structural proteins S, E and, M of SARS-CoV-2, since they facilitate the infection of the virus into host cell and using different bioinformatics tools and servers, we predicted multiple B-cell and T-cell epitopes having potential for the required vaccine design. Phylogenetic analysis provided insight on ancestral molecular changes and molecular evolutionary relationship of S, E, and M proteins. Based on the antigenicity and surface accessibility of these proteins, eight epitopes were selected by various B cell and T cell epitope prediction tools. Molecular docking was executed to interpret the binding interactions of these epitopes and three potential epitopes WTAGAAAYY, YVYSRVKNL, and GTITVEELK were selected for their noticeable higher binding affinity scores −9.1, −7.4, and −7.0 kcal/mol, respectively. Targeted epitopes had 91.09% population coverage worldwide. In summary, we identified three epitopes having the most significant properties of designing the peptide-based vaccine against SARS-CoV-2.


2021 ◽  
Vol 11 ◽  
Author(s):  
Patricia de León ◽  
Rodrigo Cañas-Arranz ◽  
Sira Defaus ◽  
Elisa Torres ◽  
Mar Forner ◽  
...  

Dendrimeric peptide constructs based on a lysine core that comprises both B- and T-cell epitopes of foot-and-mouth disease virus (FMDV) have proven a successful strategy for the development of FMD vaccines. Specifically, B2T dendrimers displaying two copies of the major type O FMDV antigenic B-cell epitope located on the virus capsid [VP1 (140–158)], covalently linked to a heterotypic T-cell epitope from either non-structural protein 3A [3A (21–35)] or 3D [3D (56–70)], named B2T-3A and B2T-3D, respectively, elicit high levels of neutralizing antibodies (nAbs) and IFN-γ-producing cells in pigs. To assess whether the inclusion and orientation of T-3A and T-3D T-cell epitopes in a single molecule could modulate immunogenicity, dendrimers with T epitopes juxtaposed in both possible orientations, i.e., constructs B2TT-3A3D and B2TT-3D3A, were made and tested in pigs. Both dendrimers elicited high nAbs titers that broadly neutralized type O FMDVs, although B2TT-3D3A did not respond to boosting, and induced lower IgGs titers, in particular IgG2, than B2TT-3A3D. Pigs immunized with B2, a control dendrimer displaying two B-cell epitope copies and no T-cell epitope, gave no nABs, confirming T-3A and T-3D as T helper epitopes. The T-3D peptide was found to be an immunodominant, as it produced more IFN-γ expressing cells than T-3A in the in vitro recall assay. Besides, in pigs immunized with the different dendrimeric peptides, CD4+ T-cells were the major subset contributing to IFN-γ expression upon in vitro recall, and depletion of CD4+ cells from PBMCs abolished the production of this cytokine. Most CD4+IFN-γ+ cells showed a memory (CD4+2E3−) and a multifunctional phenotype, as they expressed both IFN-γ and TNF-α, suggesting that the peptides induced a potent Th1 pro-inflammatory response. Furthermore, not only the presence, but also the orientation of T-cell epitopes influenced the T-cell response, as B2TT-3D3A and B2 groups had fewer cells expressing both cytokines. These results help understand how B2T-type dendrimers triggers T-cell populations, highlighting their potential as next-generation FMD vaccines.


2002 ◽  
Vol 70 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Maddalena Panigada ◽  
Tiziana Sturniolo ◽  
Giorgio Besozzi ◽  
Maria Giovanna Boccieri ◽  
Francesco Sinigaglia ◽  
...  

ABSTRACT The characterization of Mycobacterium tuberculosis antigens inducing CD4+ T-cell responses could critically contribute to the development of subunit vaccines for M. tuberculosis. Here we performed computational analysis by using T-cell epitope prediction software (known as TEPITOPE) to predict promiscuous HLA-DR ligands in the products of the mce genes of M. tuberculosis. The analysis of the proliferative responses of CD4+ T cells from patients with pulmonary tuberculosis to selected peptides displaying promiscuous binding to HLA-DR in vitro led us to the identification of a peptide that induced proliferation of CD4+ cells from 50% of the tested subjects. This study demonstrates that a systematic computational approach can be used to identify T-cell epitopes in proteins expressed by an intracellular pathogen.


2020 ◽  
Author(s):  
Seema Mishra

This study provides key insights into the contagious nature of SARS-CoV2 through analyses of T cell epitopes designed from SARS-CoV2 proteome. All top-scoring cytotoxic T cell epitopes from ORF1ab and helper T cell epitopes identified from all proteins were utilized to provide crucial insights into its pathogenesis. These T cell epitopes can be used as prophylactic or therapeutic multi-subunit vaccine or as diagnostic tools.<br>


2020 ◽  
Author(s):  
Seema Mishra

This study provides key insights into the contagious nature of SARS-CoV2 through analyses of T cell epitopes designed from SARS-CoV2 proteome. All top-scoring cytotoxic T cell epitopes from ORF1ab and helper T cell epitopes identified from all proteins were utilized to provide crucial insights into its pathogenesis. These T cell epitopes can be used as prophylactic or therapeutic multi-subunit vaccine or as diagnostic tools.<br>


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253918
Author(s):  
Jelena Repac ◽  
Marija Mandić ◽  
Tanja Lunić ◽  
Bojan Božić ◽  
Biljana Božić Nedeljković

Autoimmune diseases, often triggered by infection, affect ~5% of the worldwide population. Rheumatoid Arthritis (RA)–a painful condition characterized by the chronic inflammation of joints—comprises up to 20% of known autoimmune pathologies, with the tendency of increasing prevalence. Molecular mimicry is recognized as the leading mechanism underlying infection-mediated autoimmunity, which assumes sequence similarity between microbial and self-peptides driving the activation of autoreactive lymphocytes. T lymphocytes are leading immune cells in the RA-development. Therefore, deeper understanding of the capacity of microorganisms (both pathogens and commensals) to trigger autoreactive T cells is needed, calling for more systematic approaches. In the present study, we address this problem through a comprehensive immunoinformatics analysis of experimentally determined RA-related T cell epitopes against the proteomes of Bacteria, Fungi, and Viruses, to identify the scope of organisms providing homologous antigenic peptide determinants. By this, initial homology screening was complemented with de novo T cell epitope prediction and another round of homology search, to enable: i) the confirmation of homologous microbial peptides as T cell epitopes based on the predicted binding affinity to RA-related HLA polymorphisms; ii) sequence similarity inference for top de novo T cell epitope predictions to the RA-related autoantigens to reveal the robustness of RA-triggering capacity for identified (micro/myco)organisms. Our study reveals a much larger repertoire of candidate RA-triggering organisms, than previously recognized, providing insights into the underestimated role of Fungi in autoimmunity and the possibility of a more direct involvement of bacterial commensals in RA-pathology. Finally, our study pinpoints Endoplasmic reticulum chaperone BiP as the most potent (most likely mimicked) RA-related autoantigen, opening an avenue for identifying the most potent autoantigens in a variety of different autoimmune pathologies, with possible implications in the design of next-generation therapeutics aiming to induce self-tolerance by affecting highly reactive autoantigens.


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