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RG203KR mutations in SARS-CoV-2 Nucleocapsid: Assessing the impact using Virus-like particle model system
Harsha Raheja; Soma Das; Anindita Banerjee; Dikshaya P; Deepika C; Debanjan Mukhopadhyay; Subbaraya G Ramachandra; Saumitra Das.
Afiliação
  • Harsha Raheja; Indian Institute of Science
  • Soma Das; Indian Institute of Science
  • Anindita Banerjee; National Institute of Biomedical Genomics
  • Dikshaya P; Indian Institute of Science
  • Deepika C; Indian Institute of Science
  • Debanjan Mukhopadhyay; National Institute of Biomedical Genomics
  • Subbaraya G Ramachandra; Indian Institute of Science
  • Saumitra Das; Indian Institute of Science
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-473343
ABSTRACT
The emergence and evolution of SARS-CoV-2 is characterized by the occurrence of diverse sets of mutations that affect virus characteristics, including transmissibility and antigenicity. Recent studies have focused mostly on Spike protein mutations; however, SARS-CoV-2 variants of interest (VoI) or concern (VoC) contain significant mutations in the nucleocapsid protein as well. To study the relevance of the mutations at the virion level, recombinant baculovirus expression system based VLPs were generated for the prototype Wuhan sequence along with Spike mutants like D614G, G1124V and the significant RG203KR mutation in Nucleocapsid. All the four structural proteins assembled in a particle wherein the morphology and size of the particle confirmed by TEM closely resembles the native virion. The VLP harbouring RG203KR mutations in nucleocapsid exhibited augmentation of humoral immune responses and enhanced neutralization by the immunized mice sera. Results demonstrate a non-infectious platform to quickly assess the implication of mutations in structural proteins of the emerging variant.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Experimental_studies Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Experimental_studies Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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