Cargando…
SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight
The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is related with the COVID-19 pandemic. Recent spike protein variations have had an effect on the transmission of the virus. In addition to ACE-2, spike proteins can employ DC-SIGN and its analogous receptor, DC-SIGNR, for host evasion....
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206574/ https://www.ncbi.nlm.nih.gov/pubmed/37363363 http://dx.doi.org/10.1007/s13337-023-00820-3 |
_version_ | 1785046259138035712 |
---|---|
author | Gupta, Jyoti Malik, Md. Zubbair Chaturvedi, Maya Mishra, Mohit Mishra, Surbhi Kriti Grover, Abhinav Ray, Ashwini Kumar Chaturvedi, Rupesh |
author_facet | Gupta, Jyoti Malik, Md. Zubbair Chaturvedi, Maya Mishra, Mohit Mishra, Surbhi Kriti Grover, Abhinav Ray, Ashwini Kumar Chaturvedi, Rupesh |
author_sort | Gupta, Jyoti |
collection | PubMed |
description | The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is related with the COVID-19 pandemic. Recent spike protein variations have had an effect on the transmission of the virus. In addition to ACE-2, spike proteins can employ DC-SIGN and its analogous receptor, DC-SIGNR, for host evasion. Spike variations in the DC-SIGN interaction region and role of DC-SIGN in immune evasion have not been well defined. To understand the spike protein variations and their binding mode, phylogenetic analysis of the complete GISAID (Global Initiative for Sharing Avian Influenza Data) data of the SARS-CoV-2 spike protein was considered. In addition, an in silico knockout network evaluation of the SARS-CoV-2 single-cell transcriptome was conducted to determine the key role of DC-SIGN/R in immunological dysregulation. Within the DC-SIGN-interacting region of the SARS-CoV spike protein, the spike protein of SARS-CoV-2 displayed remarkable similarity to the SARS-CoV spike protein. Surprisingly, the phylogenetic analysis revealed that the SARS-CoV-2’s spike exhibited significantly diverse variants in the DC-SIGN interaction domain, which altered the frequency of these variants. The variation within the DC-SIGN-interacting domain of spike proteins affected the binding of a limited number of variants with DC-SIGN and DC-SIGNR and affected their evolution. MMGBSA binding free energies evaluation differed for variants from those of the wild type, suggesting the influence of substitution mutations on the interaction pattern. In silico knockout network analysis of the single-cell transcriptome of Bronchoalveolar Lavage and peripheral blood mononuclear cells revealed that SARS-CoV-2 altered DC-SIGN/R signaling. Early surveillance of diverse SARS-CoV-2 strains could preclude a worsening of the pandemic and facilitate the development of an optimum vaccine against variations. The spike Receptor Binding Domain genetic variants are thought to boost SARS CoV-2 immune evasion, resulting in its higher longevity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-023-00820-3. |
format | Online Article Text |
id | pubmed-10206574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-102065742023-05-25 SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight Gupta, Jyoti Malik, Md. Zubbair Chaturvedi, Maya Mishra, Mohit Mishra, Surbhi Kriti Grover, Abhinav Ray, Ashwini Kumar Chaturvedi, Rupesh Virusdisease Original Article The Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is related with the COVID-19 pandemic. Recent spike protein variations have had an effect on the transmission of the virus. In addition to ACE-2, spike proteins can employ DC-SIGN and its analogous receptor, DC-SIGNR, for host evasion. Spike variations in the DC-SIGN interaction region and role of DC-SIGN in immune evasion have not been well defined. To understand the spike protein variations and their binding mode, phylogenetic analysis of the complete GISAID (Global Initiative for Sharing Avian Influenza Data) data of the SARS-CoV-2 spike protein was considered. In addition, an in silico knockout network evaluation of the SARS-CoV-2 single-cell transcriptome was conducted to determine the key role of DC-SIGN/R in immunological dysregulation. Within the DC-SIGN-interacting region of the SARS-CoV spike protein, the spike protein of SARS-CoV-2 displayed remarkable similarity to the SARS-CoV spike protein. Surprisingly, the phylogenetic analysis revealed that the SARS-CoV-2’s spike exhibited significantly diverse variants in the DC-SIGN interaction domain, which altered the frequency of these variants. The variation within the DC-SIGN-interacting domain of spike proteins affected the binding of a limited number of variants with DC-SIGN and DC-SIGNR and affected their evolution. MMGBSA binding free energies evaluation differed for variants from those of the wild type, suggesting the influence of substitution mutations on the interaction pattern. In silico knockout network analysis of the single-cell transcriptome of Bronchoalveolar Lavage and peripheral blood mononuclear cells revealed that SARS-CoV-2 altered DC-SIGN/R signaling. Early surveillance of diverse SARS-CoV-2 strains could preclude a worsening of the pandemic and facilitate the development of an optimum vaccine against variations. The spike Receptor Binding Domain genetic variants are thought to boost SARS CoV-2 immune evasion, resulting in its higher longevity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13337-023-00820-3. Springer India 2023-05-24 2023-06 /pmc/articles/PMC10206574/ /pubmed/37363363 http://dx.doi.org/10.1007/s13337-023-00820-3 Text en © The Author(s), under exclusive licence to Indian Virological Society 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
spellingShingle | Original Article Gupta, Jyoti Malik, Md. Zubbair Chaturvedi, Maya Mishra, Mohit Mishra, Surbhi Kriti Grover, Abhinav Ray, Ashwini Kumar Chaturvedi, Rupesh SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight |
title | SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight |
title_full | SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight |
title_fullStr | SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight |
title_full_unstemmed | SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight |
title_short | SARS CoV-2 spike protein variants exploit DC-SIGN/DC-SIGNR receptor for evolution and severity: an in-silico insight |
title_sort | sars cov-2 spike protein variants exploit dc-sign/dc-signr receptor for evolution and severity: an in-silico insight |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206574/ https://www.ncbi.nlm.nih.gov/pubmed/37363363 http://dx.doi.org/10.1007/s13337-023-00820-3 |
work_keys_str_mv | AT guptajyoti sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT malikmdzubbair sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT chaturvedimaya sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT mishramohit sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT mishrasurbhikriti sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT groverabhinav sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT rayashwinikumar sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight AT chaturvedirupesh sarscov2spikeproteinvariantsexploitdcsigndcsignrreceptorforevolutionandseverityaninsilicoinsight |