Development of potency, breadth and resilience to viral escape mutations in SARS-CoV-2 neutralizing antibodies
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Antibodies elicited in response to infection undergo somatic mutation in germinal centers that can result in higher affinity for the cognate antigen. To determine the effects of somatic mutation on the properties of SARS-CoV-2 spike receptor-binding domain (RBD)-specific antibodies, we analyzed six independent antibody lineages. As well as increased neutralization potency, antibody evolution changed pathways for acquisition of resistance and, in some cases, restricted the range of neutralization escape options. For some antibodies, maturation apparently imposed a requirement for multiple spike mutations to enable escape. For certain antibody lineages, maturation enabled neutralization of circulating SARS-CoV-2 variants of concern and heterologous sarbecoviruses. Antibody-antigen structures revealed that these properties resulted from substitutions that allowed additional variability at the interface with the RBD. These findings suggest that increasing antibody diversity through prolonged or repeated antigen exposure may improve protection against diversifying SARS-CoV-2 populations, and perhaps against other pandemic threat coronaviruses.
Article activity feed
-
SciScore for 10.1101/2021.03.07.434227: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources The R683G substitution itself increased pseudovirus sensitivity to some antibodies, including C055, C099, C549 and C512, and antibodies from the C144 and C032 groups. C099suggested: NoneC512suggested: NoneExperimental Models: Cell Lines Sentences Resources The R683G substitution itself increased pseudovirus sensitivity to some antibodies, including C055, C099, C549 and C512, and antibodies from the C144 and C032 groups. C549suggested: NoneSpecifically, virus stocks were harvested 48 hours after transfection of 293T cells with pNL4-3ΔEnv-nanoluc and pSARS-CoV-2 SΔ19 and filtered and stored at −80°C. 293Tsugge…SciScore for 10.1101/2021.03.07.434227: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Antibodies Sentences Resources The R683G substitution itself increased pseudovirus sensitivity to some antibodies, including C055, C099, C549 and C512, and antibodies from the C144 and C032 groups. C099suggested: NoneC512suggested: NoneExperimental Models: Cell Lines Sentences Resources The R683G substitution itself increased pseudovirus sensitivity to some antibodies, including C055, C099, C549 and C512, and antibodies from the C144 and C032 groups. C549suggested: NoneSpecifically, virus stocks were harvested 48 hours after transfection of 293T cells with pNL4-3ΔEnv-nanoluc and pSARS-CoV-2 SΔ19 and filtered and stored at −80°C. 293Tsuggested: NoneThe antibody/pseudotyped virus mixture was then added to HT1080/ACE2.cl14 cells. HT1080/ACE2.cl14suggested: NoneSelection of antibody resistant rVSV/SARS-CoV-2 variants: To select monoclonal antibody-resistant S variants, rVSV/SARS-CoV-2/GFP1D7 and rVSV/SARS-CoV-2/GFP2E1 were passaged to generate diversity, and populations containing 106 PFU were incubated with monoclonal antibodies (0.5µg/ml to 10µg/ml) for 1h at 37°C before inoculation of 2×105 293T/ACE2cl.22 cells in 6-well plates. 293T/ACE2cl.22suggested: NoneThe antibody/recombinant virus mixture was then added to 293T/ACE2.cl22 cells. 293T/ACE2.cl22suggested: NoneSoftware and Algorithms Sentences Resources The half-maximal inhibitory concentrations for monoclonal antibodies (IC50) were determined using four-parameter nonlinear regression (least squares regression method without weighting) (GraphPad Prism). GraphPadsuggested: (GraphPad Prism, RRID:SCR_002798)For analysis of the Illumina sequencing data, adapter sequences were removed from the raw reads and low-quality reads (Phred quality score <20) using BBDuk. Phredsuggested: (Phred, RRID:SCR_001017)RBD-specific variant frequencies, P-values, and read depth were compiled using Python running pandas (1.0.5), numpy (1.18.5), and matplotlib (3.2.2). Pythonsuggested: (IPython, RRID:SCR_001658)matplotlibsuggested: (MatPlotLib, RRID:SCR_008624)Briefly, for all Fab-S complexes, we collected micrographs on a Talos Arctica transmission electron microscope (Thermo Fisher) operating at 200 kV using SerialEM automated data collection software (Mastronarde, 2005). SerialEMsuggested: (SerialEM, RRID:SCR_017293)Non-dose-weighted images were used to estimate CTF parameters using a cryoSPARC implementation of the Patch CTF job, and all datasets were processed similarly. cryoSPARCsuggested: (cryoSPARC, RRID:SCR_016501)We validated model coordinates using MolProbity (Chen et al., 2010) (Table S3). MolProbitysuggested: (MolProbity, RRID:SCR_014226)Data from single crystals were indexed and integrated in XDS (Kabsch, 2010) or iMosflm (Battye, 2011 #796) and merged using AIMLESS in CCP4 (Winn et al., 2011) (Table S2). iMosflmsuggested: (iMosflm , RRID:SCR_014217)The structures were refined using an initial round of rigid body and individual B refinement in Phenix (Adams et al., 2010) followed by cycles of manual building in Coot (Emsley et al., 2010) and real space refinement in Phenix with TLS (Table S2). Cootsuggested: (Coot, RRID:SCR_014222)Phenixsuggested: (Phenix, RRID:SCR_014224)Homology models were generated by MODELLER (version 9.23) (Sali and Blundell, 1993) and further optimized by Protein Preparation Wizard in Maestro Schrodinger (Sastry et al., 2013) including optimization of hydrogens. MODELLERsuggested: (MODELLER, RRID:SCR_008395)DATA AND SOFTWARE AVAILABILITY: Coordinates and maps associated with data reported in this manuscript will be deposited in the Electron Microscopy Data Bank (EMDB: https://www.ebi.ac.uk/pdbe/emdb/) and Protein Data Bank (PDB: www.rcsb.org) with accession numbers … https://www.ebi.ac.uk/pdbe/emdb/suggested: (Electron Microscopy Data Bank at PDBe (MSD-EBI, RRID:SCR_006506)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
-