scholarly journals Antibodies induced by receptor-binding domain in spike protein of SARS-CoV do not cross-neutralize the novel human coronavirus hCoV-EMC

2013 ◽  
Vol 67 (4) ◽  
pp. 348-350 ◽  
Author(s):  
Lanying Du ◽  
Cuiqing Ma ◽  
Shibo Jiang
Keyword(s):  
Receptor Binding ◽  
Binding Domain ◽  
Spike Protein ◽  
The Novel ◽  
Receptor Binding Domain ◽  
Human Coronavirus

scholarly journals Identification of residues in the receptor-binding domain (RBD) of the spike protein of human coronavirus NL63 that are critical for the RBD–ACE2 receptor interaction

2008 ◽  
Vol 89 (4) ◽  
pp. 1015-1024 ◽  
Author(s):  
Han-Xin Lin ◽  
Yan Feng ◽  
Gillian Wong ◽  
Liping Wang ◽  
Bei Li ◽  
...  
Keyword(s):  
Receptor Binding ◽  
Binding Domain ◽  
Site Directed Mutagenesis ◽  
Spike Protein ◽  
Receptor Interaction ◽  
Receptor Binding Domain ◽  
Human Coronavirus ◽  
C Terminus ◽  
Group I ◽  
Truncated Variants

Human coronavirus NL63 (NL63), a member of the group I coronaviruses, may cause acute respiratory diseases in young children and immunocompromised adults. Like severe acute respiratory syndrome coronavirus (SARS-CoV), NL63 also employs the human angiotensin-converting enzyme 2 (hACE2) receptor for cellular entry. To identify residues in the spike protein of NL63 that are important for hACE2 binding, this study first generated a series of S1-truncated variants, examined their associations with the hACE2 receptor and subsequently mapped a minimal receptor-binding domain (RBD) that consisted of 141 residues (aa 476–616) towards the C terminus of the S1 domain. The data also demonstrated that the NL63 RBD bound to hACE2 more efficiently than its full-length counterpart and had a binding efficiency comparable to the S1 or RBD of SARS-CoV. A further series of RBD variants was generated using site-directed mutagenesis and random mutant library screening assays, and identified 15 residues (C497, Y498, V499, C500, K501, R518, R530, V531, G534, G537, D538, S540, E582, W585 and T591) that appeared to be critical for the RBD–hACE2 association. These critical residues clustered in three separate regions (designated RI, RII and RIII) inside the RBD, which may represent three receptor-binding sites. These results may help to delineate the molecular interactions between the S protein of NL63 and the hACE2 receptor, and may also enhance our understanding of the pathogenesis of NL63 and SARS-CoV.

scholarly journals Engineered ACE2 counteracts vaccine-evading SARS-CoV-2 Omicron variant

2021 ◽  
Author(s):  
Nariko Ikemura ◽  
Shunta Taminishi ◽  
Tohru Inaba ◽  
Takao Arimori ◽  
Daisuke Motooka ◽  
...  
Keyword(s):  
Receptor Binding ◽  
Mutational Analysis ◽  
High Sensitivity ◽  
Binding Domain ◽  
Spike Protein ◽  
The Novel ◽  
Receptor Binding Domain ◽  
Therapeutic Drugs ◽  
Viral Mutation ◽  
Therapeutic Value

The novel SARS-CoV-2 variant, Omicron (B.1.1.529) contains an unusually high number of mutations (>30) in the spike protein, raising concerns of escape from vaccines, convalescent sera and therapeutic drugs. Here we analyze the alteration of neutralizing titer with Omicron pseudovirus. Sera of 3 months after double BNT162b2 vaccination exhibit approximately 18-fold lower neutralization titers against Omicron. Convalescent sera from Alpha and Delta patients allow similar levels of breakthrough by Omicron. However, some Delta patients have relatively preserved neutralization efficacy, comparable to 3-month double BNT162b2 vaccination. Domain-wise analysis using chimeric spike revealed that this efficient evasion was, at least in part, caused by multiple mutations in the N-terminal domain. Omicron escapes the therapeutic cocktail of imdevimab and casirivimab, whereas sotrovimab, which targets a conserved region to avoid viral mutation, remains effective against Omicron. The ACE2 decoy is another virus-neutralizing drug modality that is free, at least in theory, from mutational escape. Deep mutational analysis demonstrated that, indeed, the engineered ACE2 overcomes every single-residue mutation in the receptor-binding domain, similar to immunized sera. Like previous SARS-CoV-2 variants, Omicron and some other sarbecoviruses showed high sensitivity against engineered ACE2, confirming the therapeutic value against diverse variants, including those that are yet to emerge.

scholarly journals Stereotypic neutralizing VH antibodies against SARS-CoV-2 spike protein receptor binding domain in COVID-19 patients and healthy individuals

2021 ◽  
pp. eabd6990
Author(s):  
Sang Il Kim ◽  
Jinsung Noh ◽  
Sujeong Kim ◽  
Younggeun Choi ◽  
Duck Kyun Yoo ◽  
...  
Keyword(s):  
B Cells ◽  
Receptor Binding ◽  
Neutralizing Antibodies ◽  
De Novo ◽  
Binding Domain ◽  
Host Cells ◽  
Spike Protein ◽  
Receptor Binding Domain ◽  
Healthy Individuals

Stereotypic antibody clonotypes exist in healthy individuals and may provide protective immunity against viral infections by neutralization. We observed that 13 out of 17 patients with COVID-19 had stereotypic variable heavy chain (VH) antibody clonotypes directed against the receptor-binding domain (RBD) of SARS-CoV-2 spike protein. These antibody clonotypes were comprised of immunoglobulin heavy variable (IGHV)3-53 or IGHV3-66 and immunoglobulin heavy joining (IGHJ)6 genes. These clonotypes included IgM, IgG3, IgG1, IgA1, IgG2, and IgA2 subtypes and had minimal somatic mutations, which suggested swift class switching after SARS-CoV-2 infection. The different immunoglobulin heavy variable chains were paired with diverse light chains resulting in binding to the RBD of SARS-CoV-2 spike protein. Human antibodies specific for the RBD can neutralize SARS-CoV-2 by inhibiting entry into host cells. We observed that one of these stereotypic neutralizing antibodies could inhibit viral replication in vitro using a clinical isolate of SARS-CoV-2. We also found that these VH clonotypes existed in six out of 10 healthy individuals, with IgM isotypes predominating. These findings suggest that stereotypic clonotypes can develop de novo from naïve B cells and not from memory B cells established from prior exposure to similar viruses. The expeditious and stereotypic expansion of these clonotypes may have occurred in patients infected with SARS-CoV-2 because they were already present.

scholarly journals Design of a companion bioinformatic tool to detect the emergence and geographical distribution of SARS-CoV-2 Spike protein genetic variants

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Alice Massacci ◽  
Eleonora Sperandio ◽  
Lorenzo D’Ambrosio ◽  
Mariano Maffei ◽  
Fabio Palombo ◽  
...  
Keyword(s):  
Receptor Binding ◽  
Consensus Sequence ◽  
Cell Epitope ◽  
Vaccine Design ◽  
Binding Domain ◽  
Spike Protein ◽  
Antibody Activity ◽  
Binding Motif ◽  
Receptor Binding Domain ◽  
The Impact

Abstract Background Tracking the genetic variability of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) is a crucial challenge. Mainly to identify target sequences in order to generate robust vaccines and neutralizing monoclonal antibodies, but also to track viral genetic temporal and geographic evolution and to mine for variants associated with reduced or increased disease severity. Several online tools and bioinformatic phylogenetic analyses have been released, but the main interest lies in the Spike protein, which is the pivotal element of current vaccine design, and in the Receptor Binding Domain, that accounts for most of the neutralizing the antibody activity. Methods Here, we present an open-source bioinformatic protocol, and a web portal focused on SARS-CoV-2 single mutations and minimal consensus sequence building as a companion vaccine design tool. Furthermore, we provide immunogenomic analyses to understand the impact of the most frequent RBD variations. Results Results on the whole GISAID sequence dataset at the time of the writing (October 2020) reveals an emerging mutation, S477N, located on the central part of the Spike protein Receptor Binding Domain, the Receptor Binding Motif. Immunogenomic analyses revealed some variation in mutated epitope MHC compatibility, T-cell recognition, and B-cell epitope probability for most frequent human HLAs. Conclusions This work provides a framework able to track down SARS-CoV-2 genomic variability.

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