Landscape and selection of vaccine epitopes in SARS-CoV-2
Abstract Background Early in the pandemic, we designed a SARS-CoV-2 peptide vaccine containing epitope regions optimized for concurrent B cell, CD4+ T cell, and CD8+ T cell stimulation. The rationale for this design was to drive both humoral and cellular immunity with high specificity while avoiding...
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2021-06-01
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Online Access: | https://doi.org/10.1186/s13073-021-00910-1 |
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doaj-1bd99e7646cd4b7097c6d90976a022a0 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christof C. Smith Kelly S. Olsen Kaylee M. Gentry Maria Sambade Wolfgang Beck Jason Garness Sarah Entwistle Caryn Willis Steven Vensko Allison Woods Misha Fini Brandon Carpenter Eric Routh Julia Kodysh Timothy O’Donnell Carsten Haber Kirsten Heiss Volker Stadler Erik Garrison Adam M. Sandor Jenny P. Y. Ting Jared Weiss Krzysztof Krajewski Oliver C. Grant Robert J. Woods Mark Heise Benjamin G. Vincent Alex Rubinsteyn |
spellingShingle |
Christof C. Smith Kelly S. Olsen Kaylee M. Gentry Maria Sambade Wolfgang Beck Jason Garness Sarah Entwistle Caryn Willis Steven Vensko Allison Woods Misha Fini Brandon Carpenter Eric Routh Julia Kodysh Timothy O’Donnell Carsten Haber Kirsten Heiss Volker Stadler Erik Garrison Adam M. Sandor Jenny P. Y. Ting Jared Weiss Krzysztof Krajewski Oliver C. Grant Robert J. Woods Mark Heise Benjamin G. Vincent Alex Rubinsteyn Landscape and selection of vaccine epitopes in SARS-CoV-2 Genome Medicine SARS-CoV-2 COVID-19 vaccine T cell B cell |
author_facet |
Christof C. Smith Kelly S. Olsen Kaylee M. Gentry Maria Sambade Wolfgang Beck Jason Garness Sarah Entwistle Caryn Willis Steven Vensko Allison Woods Misha Fini Brandon Carpenter Eric Routh Julia Kodysh Timothy O’Donnell Carsten Haber Kirsten Heiss Volker Stadler Erik Garrison Adam M. Sandor Jenny P. Y. Ting Jared Weiss Krzysztof Krajewski Oliver C. Grant Robert J. Woods Mark Heise Benjamin G. Vincent Alex Rubinsteyn |
author_sort |
Christof C. Smith |
title |
Landscape and selection of vaccine epitopes in SARS-CoV-2 |
title_short |
Landscape and selection of vaccine epitopes in SARS-CoV-2 |
title_full |
Landscape and selection of vaccine epitopes in SARS-CoV-2 |
title_fullStr |
Landscape and selection of vaccine epitopes in SARS-CoV-2 |
title_full_unstemmed |
Landscape and selection of vaccine epitopes in SARS-CoV-2 |
title_sort |
landscape and selection of vaccine epitopes in sars-cov-2 |
publisher |
BMC |
series |
Genome Medicine |
issn |
1756-994X |
publishDate |
2021-06-01 |
description |
Abstract Background Early in the pandemic, we designed a SARS-CoV-2 peptide vaccine containing epitope regions optimized for concurrent B cell, CD4+ T cell, and CD8+ T cell stimulation. The rationale for this design was to drive both humoral and cellular immunity with high specificity while avoiding undesired effects such as antibody-dependent enhancement (ADE). Methods We explored the set of computationally predicted SARS-CoV-2 HLA-I and HLA-II ligands, examining protein source, concurrent human/murine coverage, and population coverage. Beyond MHC affinity, T cell vaccine candidates were further refined by predicted immunogenicity, sequence conservation, source protein abundance, and coverage of high frequency HLA alleles. B cell epitope regions were chosen from linear epitope mapping studies of convalescent patient serum, followed by filtering for surface accessibility, sequence conservation, spatial localization near functional domains of the spike glycoprotein, and avoidance of glycosylation sites. Results From 58 initial candidates, three B cell epitope regions were identified. From 3730 (MHC-I) and 5045 (MHC-II) candidate ligands, 292 CD8+ and 284 CD4+ T cell epitopes were identified. By combining these B cell and T cell analyses, as well as a manufacturability heuristic, we proposed a set of 22 SARS-CoV-2 vaccine peptides for use in subsequent murine studies. We curated a dataset of ~ 1000 observed T cell epitopes from convalescent COVID-19 patients across eight studies, showing 8/15 recurrent epitope regions to overlap with at least one of our candidate peptides. Of the 22 candidate vaccine peptides, 16 (n = 10 T cell epitope optimized; n = 6 B cell epitope optimized) were manually selected to decrease their degree of sequence overlap and then synthesized. The immunogenicity of the synthesized vaccine peptides was validated using ELISpot and ELISA following murine vaccination. Strong T cell responses were observed in 7/10 T cell epitope optimized peptides following vaccination. Humoral responses were deficient, likely due to the unrestricted conformational space inhabited by linear vaccine peptides. Conclusions Overall, we find our selection process and vaccine formulation to be appropriate for identifying T cell epitopes and eliciting T cell responses against those epitopes. Further studies are needed to optimize prediction and induction of B cell responses, as well as study the protective capacity of predicted T and B cell epitopes. |
topic |
SARS-CoV-2 COVID-19 vaccine T cell B cell |
url |
https://doi.org/10.1186/s13073-021-00910-1 |
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doaj-1bd99e7646cd4b7097c6d90976a022a02021-06-20T11:09:40ZengBMCGenome Medicine1756-994X2021-06-0113112310.1186/s13073-021-00910-1Landscape and selection of vaccine epitopes in SARS-CoV-2Christof C. Smith0Kelly S. Olsen1Kaylee M. Gentry2Maria Sambade3Wolfgang Beck4Jason Garness5Sarah Entwistle6Caryn Willis7Steven Vensko8Allison Woods9Misha Fini10Brandon Carpenter11Eric Routh12Julia Kodysh13Timothy O’Donnell14Carsten Haber15Kirsten Heiss16Volker Stadler17Erik Garrison18Adam M. Sandor19Jenny P. Y. Ting20Jared Weiss21Krzysztof Krajewski22Oliver C. Grant23Robert J. Woods24Mark Heise25Benjamin G. Vincent26Alex Rubinsteyn27Department of Microbiology and Immunology, UNC School of MedicineDepartment of Microbiology and Immunology, UNC School of MedicineLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillDepartment of Microbiology and Immunology, UNC School of MedicineLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillDepartment of Microbiology and Immunology, UNC School of MedicineDepartment of Microbiology and Immunology, UNC School of MedicineLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount SinaiPEPperPRINT GmbHPEPperPRINT GmbHPEPperPRINT GmbHGenomics Institute, University of CaliforniaLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillDepartment of Biochemistry and Biophysics, UNC School of MedicineComplex Carbohydrate Research Center, University of GeorgiaComplex Carbohydrate Research Center, University of GeorgiaLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillDepartment of Microbiology and Immunology, UNC School of MedicineLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillAbstract Background Early in the pandemic, we designed a SARS-CoV-2 peptide vaccine containing epitope regions optimized for concurrent B cell, CD4+ T cell, and CD8+ T cell stimulation. The rationale for this design was to drive both humoral and cellular immunity with high specificity while avoiding undesired effects such as antibody-dependent enhancement (ADE). Methods We explored the set of computationally predicted SARS-CoV-2 HLA-I and HLA-II ligands, examining protein source, concurrent human/murine coverage, and population coverage. Beyond MHC affinity, T cell vaccine candidates were further refined by predicted immunogenicity, sequence conservation, source protein abundance, and coverage of high frequency HLA alleles. B cell epitope regions were chosen from linear epitope mapping studies of convalescent patient serum, followed by filtering for surface accessibility, sequence conservation, spatial localization near functional domains of the spike glycoprotein, and avoidance of glycosylation sites. Results From 58 initial candidates, three B cell epitope regions were identified. From 3730 (MHC-I) and 5045 (MHC-II) candidate ligands, 292 CD8+ and 284 CD4+ T cell epitopes were identified. By combining these B cell and T cell analyses, as well as a manufacturability heuristic, we proposed a set of 22 SARS-CoV-2 vaccine peptides for use in subsequent murine studies. We curated a dataset of ~ 1000 observed T cell epitopes from convalescent COVID-19 patients across eight studies, showing 8/15 recurrent epitope regions to overlap with at least one of our candidate peptides. Of the 22 candidate vaccine peptides, 16 (n = 10 T cell epitope optimized; n = 6 B cell epitope optimized) were manually selected to decrease their degree of sequence overlap and then synthesized. The immunogenicity of the synthesized vaccine peptides was validated using ELISpot and ELISA following murine vaccination. Strong T cell responses were observed in 7/10 T cell epitope optimized peptides following vaccination. Humoral responses were deficient, likely due to the unrestricted conformational space inhabited by linear vaccine peptides. Conclusions Overall, we find our selection process and vaccine formulation to be appropriate for identifying T cell epitopes and eliciting T cell responses against those epitopes. Further studies are needed to optimize prediction and induction of B cell responses, as well as study the protective capacity of predicted T and B cell epitopes.https://doi.org/10.1186/s13073-021-00910-1SARS-CoV-2COVID-19vaccineT cellB cell |