Summary
Descendants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant now account for almost all SARS-CoV-2 infections. The Omicron variant and its sublineages have spike glycoproteins that are highly diverged from the pandemic founder and first-generation vaccine strain, resulting in significant evasion from monoclonal antibody therapeutics and vaccines. Understanding how commonly elicited antibodies can broaden to cross-neutralize escape variants is crucial. We isolate IGHV3-53, using “public” monoclonal antibodies (mAbs) from an individual 7 months post infection with the ancestral virus and identify antibodies that exhibit potent and broad cross-neutralization, extending to the BA.1, BA.2, and BA.4/BA.5 sublineages of Omicron. Deep mutational scanning reveals these mAbs’ high resistance to viral escape. Structural analysis via cryoelectron microscopy of a representative broadly neutralizing antibody, CAB-A17, in complex with the Omicron BA.1 spike highlights the structural underpinnings of this broad neutralization. By reintroducing somatic hypermutations into a germline-reverted CAB-A17, we delineate the role of affinity maturation in the development of cross-neutralization by a public class of antibodies.
Keywords: SARS-CoV-2, public antibodies, affinity maturation, germinal center, somatic hypermutation, IGHV3-53, cross neutralization, cryo-EM
Graphical abstract

Highlights
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Some antibodies resulting from founder strain infection show a remarkable breadth
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Deep mutational scanning shows high resistance to viral escape
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Antibody affinity maturation was identified as key to developing breadth
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Cryo-EM reveals the basis for breadth developed through affinity maturation
Sheward et al. find representative antibodies, raised following infection with the SARS-CoV-2 founder strain, that cross-neutralize Omicron variants. Combining deep mutational scanning, electron cryomicroscopy, and neutralization assays, they identify the structural basis for this cross-neutralization and reveal the role of somatic hypermutation in the broadening of the antibody response.
Introduction
The Omicron variant,1 comprising several highly diverged lineages, harbors numerous mutations in the viral spike relative to the pandemic founder, including many in the receptor-binding domain (RBD). As a result of this antigenic drift, Omicron lineages have escaped most monoclonal antibodies (mAbs) isolated to date2,3,4,5,6,7 and display markedly reduced sensitivity to neutralization by serum from convalescent and vaccinated individuals.6,7,8,9,10,11,12,13,14 However, a third dose with vaccines based on the founder spike significantly improved Omicron cross-neutralization,15 with the expansion of affinity-matured cross-reactive memory B cells in the repertoire.16 Understanding how antibodies elicited by the ancestral variant can bridge the gap to cross-neutralize Omicron is crucial in a pandemic now dominated by Omicron sublineages.
Several studies have characterized the B cell responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the context of infection and vaccination and revealed that the immunoglobulin heavy chain variable 3-53 gene (IGHV3-53) was the most frequently used by neutralizing SARS-CoV-2 antibodies.17,18 These antibodies display convergent features and typically fall within one of the two most common antibody “classes,” categorized according to their targeted epitopes and characteristics.19 “Class 1” antibodies are highly prevalent, and a majority use IGHV3-53 to bind to an epitope that overlaps the receptor-binding motif (RBM) that is only accessible in the RBD-up conformation. They typically possess short heavy-chain complementarity-determining regions (HCDR3s) that make only minor contributions to the antibody’s interactions, and germline-encoded residues in IGHV3-53 dominate their interaction, enabling potent neutralization of the founder spike with minimal affinity maturation.17 However, antibodies of this class frequently failed to cross-neutralize variants carrying mutations in the RBM.20,21
Here, we describe a panel of IGHV3-53-using mAbs isolated from a convalescent individual approximately 7 months after infection. We show that several of these were broadly cross-neutralizing, capable of neutralizing variants of concern (VoCs), including Omicron sublineages, with exceptional potency. By generating germline-reverted versions of one such antibody, CAB-A17, and introducing single or combinations of somatic hypermutations (SHMs) found in the mature antibody, we demonstrate that, while the initial antibody was largely strain specific, SHM at key positions enabled cross-neutralization of Omicron. Importantly, the introduction of only four SHMs enabled the cross-neutralization of Omicron with a potency equivalent to that of the germline antibody against D614G. Furthermore, we determined the high-resolution structure of trimeric Omicron spike in complex with CAB-A17 to define the structural basis for cross-neutralization of Omicron. This mechanistic understanding of Omicron cross-neutralization by public antibody lineages elicited by the ancestral SARS-CoV-2 variant may be crucial for developing improved vaccines capable of broad protection.
Results
Identification of broadly cross-neutralizing IGHV3-53 antibodies
We expressed SARS-CoV-2 spike-specific mAbs isolated from memory B cells from a convalescent individual approximately 7 months following a primary infection and before vaccination.22 The infection occurred in early 2020, during the first wave of the pandemic, likely with a Wu-Hu-1 or D614G-like virus.
Using a pseudovirus neutralization assay, we investigated the activity of the mAbs against ancestral B.1 (D614G) and a panel of VoCs, extending to Omicron BA.1 and BA.2. Several mAbs that used IGHV3-53 and had HCDR3 (Figure 1B) were similar to a class of previously described SARS-CoV-2-neutralizing antibodies.17,23 However, they had higher levels of SHM than most previously described antibodies of this class. While several of the affinity-matured IGHV3-53-using mAbs showed a significant reduction in potency against BA.1 and BA.2, three mAbs from two clonally distinct lineages retained exceptional potency against these Omicron variants, with half-maximal inhibitory concentrations (IC50) < 20 ng/mL but no mAb neutralized SARS-CoV (Figure 1C).
Figure 1.
Identification of broadly cross-neutralizing SARS-CoV-2 antibodies and DMS
(A) Schematic overview of the isolation and expression of mAbs.
(B) Genetic features of the SARS-CoV-2 mAbs characterized here. Sequence alignments toward inferred gls are shown in Figure S1.
(C) Cross-neutralization of variants D614G (B.1), Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), C.1.2, Mu (B.1.621), Omicron (BA.1 and BA.2), and SARS-CoV by isolated mAbs.
(D) The sum of the antibody escape fraction for all mutations per site on antibody binding by DMS. The logo plots on the right show key sites, with the height of each letter corresponding to that mutation’s escape fraction. Letters are colored according to that mutation’s effect on ACE2 binding, as measured by Starr et al.24
(E) The site-total antibody escape is mapped to the surface of the Wuhan-Hu-1 RBD (PDB: 6M0J), with white indicating no escape and red indicating the site with the most antibody escape. Sites where no mutations are tolerated are gray. Shown are neutralization curves of D614G (wild type [WT], black) and D614G + F456K (F456K, orange) pseudotyped viruses by mAbs CAB-A17, CAB-A49, and CAB-C19. All escape scores can be found on GitHub.25 Interactive versions of logo plots and structural visualizations are from GitHub.26 The complete mapping of mutations that escape antibody binding to the Wuhan-Hu-1 RBD is shown in Figure S2.
The antibody clonal lineages CAB-A (including mAbs CAB-A17 and CAB-A18) and CAB-B (with CAB-B37) displayed potent cross-neutralization of all SARS-CoV-2 VoCs tested, including the BA.1, BA.2 lineages of Omicron as well as other variants with varying degrees of resistance to antibody neutralization, including B.1.617.2 (Delta), B.1.351 (Beta), P.1 (Gamma), B.1.621 (Mu), and C.1.2 (Figure 1C). CAB-A49, a member of the broad CAB-A lineage but with fewer coding changes introduced by SHM than CAB-A17 and CAB-A18, also cross-neutralized all VoCs, albeit with reduced potency against several variants and with 7–14 times lower potency against BA.1 and BA.2 (Figure 1C).
From other lineages, CAB-C19 retained neutralization potency against all pre-Omicron VoCs but had reduced potency against Omicron BA.1 (7-fold lower) and BA.2 (47-fold lower). Similarly, CAB-D16 cross-neutralized all other VoCs but lacked any detectable neutralizing activity against Omicron. From lineage E, both CAB-E24 and CAB-E30 cross-neutralized Alpha, Delta, C.1.2, and Mu but had reduced potency against Beta and Gamma and showed only weak cross-neutralization of BA.1 and BA.2 (Figure 1C). Like Omicron, the RBDs of Beta and Gamma are mutated at amino acid position 417, which is a critical contact residue for antibodies of this class.27,28,29
Deep mutational scanning revealed that CAB-A17 is highly resistant to mutational escape
With the continued transmission and evolution of SARS-CoV-2, the emergence of variants with substantial resistance to antibody-mediated neutralization undermines the protection afforded by vaccine-induced responses and the effect of mAb therapeutics. To characterize the mode of recognition and escape landscape for the broadly neutralizing antibodies isolated here, we applied deep mutational scanning (DMS). Using a yeast-displayed mutant RBD library, we comprehensively mapped RBD mutations (in the eliciting Wu-Hu-1 background) that could endow resistance to neutralization by CAB-A17-like antibodies.30 We similarly mapped the escape landscape of CAB-A49, a less broad member of the same lineage, and CAB-C19, an antibody of the same class from a different lineage that displayed only moderately potent cross-neutralization of Omicron.
Consistent with the relative neutralization breadth of these antibodies, multiple potential escape mutations were identified for CAB-A49 and CAB-C19. These were mainly localized to spike residues 417, 420, 456, and 475, but CAB-A17 was highly resistant to escape (Figures 1D and 1E). Only two mutations were identified as significant contributors to the escape fraction for CAB-A17: A475N, which introduces an N-linked glycosylation sequon, and F456K.
We sought to confirm these results in pseudovirus neutralization assays, introducing these mutations by site-directed mutagenesis. A spike carrying the A475N mutation did not generate pseudoviruses capable of efficient infection, potentially due to the introduction of an N-linked glycan adjacent to the RBM and, consistent with this mutation, only observed three times in deposited sequences (and all three flagged with sequence quality concerns). The introduction of F456K yielded a functional pseudovirus, which CAB-A17 neutralized with ∼3-fold reduced potency (Figure 1E). Thus, the single mutation identified to afford the highest level of binding escape against CAB-A17 in the DMS analysis only led to a modest reduction in neutralizing activity, demonstrating that CAB-A17 is highly resistant to mutational escape in the context of the eliciting antigen. The introduction of F456K only moderately reduced neutralization by CAB-C19 but afforded substantial resistance to neutralization by CAB-A49 (Figure 1E), in robust concordance with the prevalence of this mutation in the escape fraction for each mAb in the DMS analysis.
Cryo-EM of CAB-A17 in complex with the Omicron spike
To define the structural context underpinning the cross-neutralization of Omicron, we resolved the structure of a CAB-A17 Fab in a complex with the Omicron (BA.1) spike. The cryo-EM reconstruction, with an overall resolution of 2.6 Å, revealed a 2-up conformation of the spike, and each up-RBD was decorated with a CAB-A17 antibody fragment (Fab) bound to the ACE2 binding surface with a mode of recognition typical of “class 1” antibodies23,29 (Figure 2A). The observed CAB-A17 Fab binding mode was compatible with the bivalent binding of full immunoglobulin G (IgG) to the Omicron spike.
Figure 2.
Cryo-EM structure of the CAB-A17 Omicron-spike complex and comparison between CAB-A17 and C102
(A) Cryo-EM reconstruction of CAB-A17 Fab bound to the Omicron BA.1 spike determined to an overall resolution of 2.6 Å. For illustration and clarity purposes, the map is a composite of the local reconstruction (2.7 Å) and the overall reconstruction. Protomers in the RBD-up conformation are colored green and light green. The RBD-down conformation protomer is colored in warm gray. The CAB-A17 Fab light and heavy chains are colored light and dark brown, respectively.
(B) The epitope of CAB-A17 mapped on the Omicron RBD interface. Light and heavy CDR loops are labeled. Epitope residues contacting the light and heavy chains are shown in light brown and dark brown, respectively. Residues that are mutated in the Omicron variant are labeled red-orange.
(C) Epitope residues labeled. The same coloring as in (B) is used.
(D) ACE2-Omicron RBD interface, with ACE2-contacting residues labeled in light blue and residues mutated in Omicron labeled red-orange, overlayed with a superimposition of CAB-A17 and C102. C102 is colored light gray. The CAB-A17 Fab light and heavy chains are colored light and dark brown, respectively.
(E) Alignment showing differences between C102 and CAB-A17 in HCDR2 and LCDR1.
(F) Modeling of the interaction between Y421 and P53/S53/G54 in HCDR2. Relevant atoms are shown in both stick and transparent VDW sphere representation.
(G and H) K417 in the founder variant (Wu-Hu-1) forms two strong hydrogen bonds to the C102 G97 and Y99 (G, left), while these are lost in Omicron through the K417N mutation (H).
(I and J) Interactions in LCDR1. In C102, S30 and G92 clash with Omicron H505, and S29 clashes with Omicron Y501 (I), while CAB-A17 G92 forms a hydrogen bond with Omicron H505 (J).
To obtain a molecular understanding of the CAB-A17-Omicron RBD interaction, we used localized reconstruction techniques on a subset of the particles and thereby obtained a 2.7-Å resolution reconstruction of the paratope-epitope interface (Table S1; Figures S3A–S3B). All CDRs of the light and heavy chains of CAB-A17 interacted with the Omicron RBD (Figure 2B) through surface complementarity and specific hydrogen bonds (Table S2). Remarkably, seven of the interaction-interface residues on the Omicron spike are mutated relative to the founder variant (Figure 2C).
To better resolve the interactions enabling cross-neutralization of Omicron by CAB-A17, we compared the interactions with those of the mAb C102. C102 and CAB-A17 are both class 1 antibodies23 and have similar binding modes19 (PDB: 7K8M), with a Cα root-mean-square deviation (RMSD) of 0.62 Å2 when aligned to their respective RBDs (Figure 2D). C102 also uses the same light-chain gene (IGKV3-20) and has 91% amino acid identity to the CAB-A17 heavy chain. However, while C102 potently neutralizes the SARS-CoV-2 founder and Delta (IC50 = 52 ng/mL and 17 ng/mL, respectively), it fails to neutralize Beta and Omicron (IC50 > 10 μg/mL31).
Modeling C102 with the Omicron RBD reveals several potential clashes (Table S3). While we estimate that most of these clashes would require only slight shifts of side-chain conformations, one potential clash was identified—in HCDR2, specifically around residue 53 (S53 in C102 vs. P53 in CAB-A17; Figure 2E)—that would require main-chain shifts. The K417N mutation present in Omicron also removes two strong hydrogen bonds from the interaction between C102 HCDR3 (Y99 and G97) and the founder variant RBD (Figures 2G and 2H).
For the C102 light chain, there are several potential clashes when binding Omicron in the region close to the mutated Q498R, N501Y, and Y505H in the LC interaction area (Figure 2I; Table S3). In contrast, CAB-A17 LCDR1 SHMs, including a 1-amino acid (aa) deletion, changed the germline VSSS motif present in C102 to an LS-T (Figure 2E). This led to a slight shortening of the backbone in a critical region close to the mutated Q498R, N501Y, and Y505H in the LC interaction area (Figure S3C), enabling CAB-A17 to retain a favorable RBD binding mode (Figure 2J; Table S2). However, even without the LCDR1 deletion, binding in this region may still occur, but with a change in the Ab-RBD approach angle or other rearrangements of the paratope.
Affinity maturation enabled cross-neutralization
Many IGHV3-53-using mAbs isolated to date are capable of potent ancestral SARS-CoV-2 neutralization with only low levels of SHM, as important recognition motifs are germline-encoded by the IGHV gene. However, these antibodies are typically strain specific and fail to cross-neutralize Omicron. The CAB-A17 IGHV region contained a higher level of SHM compared to other lineage members, with several coding changes in amino acids located in or near the HCDRs (Figure S1). This, together with the comparisons to the C102 structure, suggested that the breadth of CAB-A17 was attributable to its affinity maturation, particularly in and around CDRH1 and CDRH2.
To precisely resolve the role of SHM in the cross-neutralization of Omicron, we reverted the heavy and light chains of the mature CAB-A17 to their germline forms while keeping the HCDR3s intact (germline CAB-A17 [glCAB-A17]). While glCAB-A17 could neutralize D614G, albeit 55-fold less potently than the mature antibody, it lacked neutralizing activity against Beta and Omicron (BA.1) (Figures 3A and 3B), confirming the essential role of affinity maturation in the acquisition of breadth. Reversion of only the LC SHMs to the gl configuration (mHC-glLC) reduced the potency against D614G by approximately 3-fold and against Beta and BA.1 by about 10-fold, but all variants were still potently neutralized. In contrast, the reversion of only the HC SHMs to the gl configuration (glHC-mLC) abolished the neutralization of Beta and BA.1 as well as of pseudoviruses just carrying K417N (Figure 3B). Taken together, these data highlight that affinity maturation led to the broadening of CAB-A17 and that mutations in the heavy chain played a dominant role in enabling this breadth. Indeed, surface plasmon resonance measurements show that, while the gl-reverted antibody had an undetectable affinity for the Omicron spike, the mature antibody had an affinity approaching that of the gl-reverted antibody against the ancestral variant (Figure S3E).
Figure 3.
Affinity maturation enabled the cross-neutralization of Omicron and its structural basis
(A) Pseudovirus neutralization by versions of CAB-A17, with SHMs reverted in either the heavy (glHC mLC, red) or light chain (mHC glLC, orange), compared to the fully mature antibody (CAB-A17, teal) and the fully gl-reverted (apart from the CDR3) version (glCAB-A17, purple), demonstrating a dominant role of HC SHM.
(B) Summary of neutralizing IC50 values, demonstrating the effect of the introduction of identified SHMs into the glCAB-A17 HC on the neutralization of D614G (B.1) (black), Beta (blue), D614G + K417N (K417N, green), and Omicron (red).
(C) Alignment of gl-LC/HC, C102, and CAB-A17, showing the key LC and HC SHMs.
(D) Structural alignment of HCDR1 of a representative gl IGHV3-V53 (5i1h), unbound C102 (7k8n), RBD-bound C102 (7k8m), and CAB-A17 (8c0y).
(E) Structural alignment of HCDR2 of a representative gl IGHV3-V53 (5i1e) and CAB-A17 (8c0y).
(F) Structural alignment of LCDR1 of unbound C102 (7k8n), RBD-bound C102 (7k8m), and CAB-A17 (8c0y). Coloring throughout is according to the color key (bottom right). Red stars denote steric clashes.
Structural basis for enhanced neutralization through affinity maturation
To define the roles of individual heavy-chain SHMs, we introduced select SHMs, individually or in combination, into glCAB-A17. These included SHMs present in all three antibodies of the lineage (G26E, T28I, Y58F) or present in the two broadest members, CAB-A17 and CAB-A18, but not in CAB-A49 (S31 R/A and S53P) (Figure S1). Each of these introduced mutations enhanced the neutralization of D614G, but none enabled detectable cross-neutralization of BA.1 on their own (Figure 3B). However, introducing four SHMs in the HC together (G26E, T28I, S53P, and Y58F) enabled cross-neutralization of BA.1 equivalent to the gl antibody against D614G and enabled potency against D614G approaching that of the mature antibody (Figure 3B).
Comparison of the cryo-EM structure of CAB-A17 to C102 identified a potential role of the shortening of the light chain. Thus, to determine whether SHMs in the light chain synergized with those in the heavy chain, we expressed the heavy-chain variants paired with the mature CAB-A17 light chain. While SHMs in the light chain afforded substantial improvements in the neutralization of K417N and Beta, they did not further improve the neutralization of BA.1 over and above G26E, T28I, S53P, and Y58F (Figure 3B).
To resolve the influence of these SHMs on the structure of CAB-A17 and its interactions with the RBD, we additionally leveraged representative gl IGHV3-53 structures (PDB: 5ILH and 5ILE)32 that are identical in sequence to glCAB-A17 outside HCDR3.
In the HCDR1 in CAB-A17, G26E limits the conformational variability of the loop and promotes an HCDR1-stretch main-chain position more distant to the RBD than in the gl and unbound C102. Furthermore, G26E promotes a rotamer switch of F27 from the p90 rotamer in the gl and unbound C102 to the m-85 rotamer found in CAB-A17 and C102 when bound to the RBD (Figure 3D). In addition, T28I and S31A in CAB-A17 remove the possibility of a T28-S31 hydrogen bond that is present in the gl antibody. This hydrogen bond stabilizes the 28–31 turn in a position where residue 31 clashes with the sterically locked RBD Y473 (Figure 3D). Furthermore, in the HCDR2 region, the S53P SHM removes backbone conformational variability and prevents the HC-53 backbone carbonyl from the peptide-plane flip observed in gl, where it would clash with RBD Y421 (Figure 3E). Furthermore, the HCDR2 Y58F hinders a clash with RBD T415 (Figure 3E). By analyzing entries utilizing V3-53 and V3-66 gls in the CoV-AbDab database,33 we find that 9% of these antibodies have G26E, 25% have T28I, and 58% have Y58F. Despite requiring two nucleotide changes, 10% of sequences have S53P. 53P occurs 13 times with 58F and only four times with Y58. Hence, the S53P change occurs preferentially with Y58F, with Y58F more commonly observed versus S53P. This makes structural sense because the Y58F SHM enables a tighter RBD-HCDR2 interaction and is also present in C102 (Figure 3C).
For the LCDR1, the combination of an SHM-driven loop shortening, in combination with S31T in the loop turn that provides a hydrogen bond between T31 and the backbone carbonyl of S30, provides a significantly more rigid LCDR1 loop conformation than in C102/gl (Figure 3F). This may explain the lack of full restoration of neutralization activity even after reintroducing the four key HC SHMs into glCAB-A17 (Figure 3B).
Together, these data highlight the structural basis by which relatively few SHMs confer breadth to a commonly elicited class of IGHV3-53 antibodies extending to the highly divergent Omicron lineage.
Affinity-matured antibodies resulting from infection by the founder strain neutralize recent Omicron sublineages
To determine the extent of the breadth that affinity maturation provided, we evaluated the cross-neutralization of more recently emerged sublineages of Omicron (Figure 4A), representing over 2 years of evolution from the antigen that elicited the response.
Figure 4.
Broad cross-neutralization of emerging Omicron sublineages
(A) Phylogeny demonstrating the diversity in spike of emerging Omicron sublineages. Spike mutations in the panel of variants evaluated here are summarized in Figure S4.
(B) Cross-neutralization of variants BA.5, BA.4.6, BA.2.7.5, BA.2.10.4, BJ.1, XAW, BA.2.75.2, BA.2.3.20, XBB, and BQ.1.1 by the isolated mAbs presented in this work.
CAB-A17, CAB-A18, and CAB-B37 all cross-neutralized BA.5 and BA.4.6 without a significant loss of potency (Figure 4B). The BA.2/Delta recombinant, XAW, was potently neutralized by the two broadest antibodies, CAB-A17 and CAB-A18, as were BJ.1 and BA.2.3.20. Two of the most resistant spike variants identified to date, BA.2.75.2 and BQ.1.1,11,13 were still neutralized by CAB-A17, albeit only at an IC50 of ∼200 ng/mL. XBB was highly resistant to neutralization by all mAbs, including CAB-A17, in line with its extremely low sensitivity to serum neutralization, likely attributable to F486S (Figure S3D).11,13
Discussion
The emergence of the Omicron lineage was accompanied by extensive resistance to neutralizing antibodies,2,3,7,8 where few mAbs elicited by primary vaccination or infection maintained potency against Omicron sublineages.4,6,9,10,11,13 Here, we describe several potently neutralizing IGHV3-53-using antibodies targeting the RBM, capable of Omicron cross-neutralization, extending to BA.2 and even BA.4/BA.5 sublineages. In direct comparisons, CAB-A17 was 15-fold more potent against Omicron (BA.1) than S309 (sotrovimab)7 and had potency comparable to the ultrapotent LY-CoV1404 (bebtelovimab).34 CAB-A17 and the clonally related CAB-A18 use IGHV3-53 and IGHJ4, have a short (9-aa) HCDR3, and are paired with IGKV3-20, all typical of common “class 1”19 antibodies (public clonotype 2).18
All currently known alleles of IGHV3-53 contain the gl-encoded motifs in HCDR1 and HCDR2 (NY and SGGS, respectively) that enable their interaction with the class 1 epitope in the SARS-CoV-2 RBM. The closely related IGHV3-66 gene similarly contains these motifs.18,29 IGHV3-53 is highly overrepresented among potent SARS-CoV-2-neutralizing mAbs isolated early in the pandemic.17,35,36,37 The precursor frequency of this class of neutralizing antibodies in the human repertoire was estimated to be around 1: 44,000,38 suggesting that such antibodies are readily elicited in most people.
CAB-A17 and CAB-A18, described here, were more affinity matured (V gene SHM: 12.6% aa, 8.9% nucleotide, and 10.5% aa, 4.4% nucleotide, respectively) than the previously described prototypical members of this class, likely reflecting the relatively delayed isolation, 7 months following a confirmed SARS-CoV-2 infection. CAB-A49 from the same lineage but with fewer aa SHMs (6.3%) did not exhibit the same breadth, suggesting the importance of SHM in developing breadth. However, only four SHMs in the HC alone were required to neutralize Omicron with the same potency as the gl antibody against D614G, indicating that the mutational barrier to breadth is not prohibitive. This suggests that specific, but not extensive, SHM pathways are required for breadth by this antibody class.
We used DMS to better resolve the RBD escape landscape in the context of the eliciting antigen. We found that CAB-A17 was highly resistant to escape, where no single mutation introduced into the ancestral RBD afforded significant escape. Even the single mutation with the highest escape (F456K) afforded only modestly reduced sensitivity to neutralization for Wu-Hu-1. While escape from these and similar antibodies may be afforded by F456K, mutations at this site may reduce the affinity of the RBD for ACE2.24 Furthermore, an F-to-K mutation requires three nucleotide changes, and, excluding low-coverage sequences, this mutation (F456K) has only been observed in two sequences deposited in GISAID29 to date (October 2023), and both are labeled as “under investigation,” suggestive of low sequencing quality. As noted above, the DMS was performed in the background of the ancestral RBD, and therefore, additional mutations and epistatic interactions may alter the escape landscape in the context of the Omicron RBD. Indeed, mutation to a leucine at this position (F456L) recently emerged in several lineages and is increasing in frequency, which likely reflects escape from similar cross-neutralizing antibodies at the population level.
The cryo-EM structure of CAB-A17 in complex with the Omicron spike sheds light on the structural basis of its broad SARS-CoV-2 cross-neutralization. From modeling and analysis of available structures of gl IGHV3-53 and a representative IGHV3-53 Ab that neutralizes Wu-Hu-1 but not Omicron (C102), considerable conformational changes are necessary to enable binding to the Wu-Hu-1 RBD in general and the Omicron RBD in particular. Such conformational changes in the paratope incur a high entropic cost of binding. Based on the structural comparisons, the neutralization capacity gain during affinity maturation for the most important SHMs of CAB-A17 can be understood structurally within the framework of reduced entropy cost for binding through the prearrangement of an Ab paratope.39 Specifically, the G26E, T28I, and S31A SHMs in HCDR1 preconfigure the loop in a conformation compatible with RBD binding. A similar but most likely not as effective preconfiguration of HCDR1 can be achieved with an F27I SHM (as in CAB-A49 here) that would not require a rotamer shift. In line with this, F27I SHM is critical for the potency of P2C-1F11 (Brii-196).40 Likewise, S53P preconfigures HCDR2 for RBD binding by locking the loop in a conformation optimal for Y421 interaction. Interestingly, in all gl IGHV3-53 and IGHV3-66 alleles, the serine at position 53 is encoded by the codon AGC, which requires at least two nucleotide changes to encode a proline. This mutational barrier likely explains why the S53P mutation, which offers the largest improvement in neutralization potency against D614G of all single mutations tested, is not observed more frequently. The fact that S53P is almost always observed together with Y58F can be understood structurally, as Y58F enables a tight, high-affinity association between the HCDR2 and the RBD. Without Y58F, S53P is of limited utility for locking the HCDR2 in an RBD-binding-compatible conformational prearrangement.
Light-chain interactions also play critical roles in neutralizing the Beta and Gamma variants by this antibody class, where the LCDR1 of these antibodies make direct contact with the spike near residue 501. In line with this, the light chain from COVOX-222 could rescue the neutralization of Beta and Gamma by other IGHV3-53 antibodies.20 Omicron BA.1 carries not only N501Y but also proximal mutations at 496, 498, and 505. CAB-A17, which potently neutralizes BA.1, uses IGKV3-20 and has an aa deletion along with an S31T SHM that, in combination, both shortens and stiffens the LCDR1, thereby reducing the entropic binding penalty while retaining suitable binding geometry in this highly mutated region of the Omicron RBD. The clonally related CAB-A18 does not have this shortening but carries other mutations in the LCDR1, indicating that multiple solutions exist. Interestingly, we find that SHMs in the light chain did not play a dominant role in the neutralization of BA.1 by CAB-A17.
In a relatively small set of antibodies from this public class, we identified three broadly cross-neutralizing antibodies from two clonally distinct lineages, suggesting that there are distinct ways to overcome mutations in the Omicron spike to achieve breadth and potency. Further, broad responses may be more generally achievable through affinity maturation than previously appreciated. This is supported by the discovery of similar antibodies in other individuals following Omicron breakthrough infection.41
Notably, the mAbs described here were isolated in Sweden in late 2020, before VoCs circulated.42 This is encouraging, as it indicates that mutations selected for in the affinity maturation to the founder spike also afford improved cross-neutralization of Omicron. CAB-A17 and CAB-A18 breadth extended to include Omicron sublineages circulating 2.5 years after the initial infection that elicited the antibodies, representing a significant resistance to future escape.
The detection of cross-neutralizing antibodies within the repertoire of a convalescent individual suggests that such memory B cells are available to be recruited upon reinfection or vaccination. Indeed, such recruitment of memory B cells with enhanced potency and breadth has been observed following a third dose of the first-generation mRNA vaccines,15,16 suggesting that affinity maturation broadened responses. Indeed, affinity maturation of antibody lineages occurs over the months after SARS-CoV-2 infection and is associated with the cross-neutralization of VoCs.43 Here, we demonstrate that a common class of public antibodies can develop broad cross-neutralizing activity through affinity maturation. As a result, vaccination regimens tailored to drive the recruitment and affinity maturation of memory B cell responses could broaden protection against currently circulating and future variants.
Limitations of the study
We acknowledge that our conclusions regarding the role of SHM and affinity maturation in broadening antibody neutralization across SARS-CoV-2 variants are based on observed correlations. These interpretations would benefit from longitudinal studies tracking the evolution of antibody responses over extended time in individuals exposed to different viral strains. Furthermore, our findings, derived from a specific set of public antibodies, may not fully represent the diversity of immune responses across a wider population. The extent to which these antibodies are representative of the broader repertoire of human immune responses to SARS-CoV-2, particularly in diverse ethnic and genetic backgrounds, warrants further investigation.
STAR★Methods
Key resources table
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Antibodies | ||
| Anti-C-Myc Antibody (Chicken) - FITC Conjugated | Immunology Consultants Laboratory, Inc. | Cat# CMYC-45F |
| Allophycocyanin (APC) AffiniPure Goat Anti-Human IgG, Fcγ fragment specific | Jackson ImmunoResearch | Cat#109-135-098; RRID: AB_2337690 |
| Goat Anti-Human IgG(H + L)-HRP | Southern Biotech | Cat#2015-05; RRID:AB_2795588 |
| BD Pharmingen FITC Mouse Anti-Human CD3ε | BD Bioscience | Cat#556611; RRID:AB_396484 |
| BD Pharmingen FITC Mouse Anti-Human CD14 | BD Bioscience | Cat#557153; RRID:AB_396589 |
| BD Horizon BV421 Mouse Anti-Human CD20 | BD Bioscience | Cat#562873; RRID:AB_2737857 |
| BD Pharmingen PE-Cy7 Mouse Anti-Human CD27 | BD Bioscience | Cat#560609; RRID:AB_1727456 |
| BD Horizon PE-CF594 Mouse Anti-Human IgG | BD Bioscience | Cat#562538; RRID:AB_2737640 |
| Fc Receptor Binding Inhibitor Polyclonal Antibody | Thermo Fisher | Cat#14-9161-73; RRID:AB_468582 |
| Bacterial and virus strains | ||
| E. coli XL10-Gold Ultracompetent Cells | Agilent Technologies | Cat#200315 |
| Chemicals, peptides, and recombinant proteins | ||
| Stabilized Soluble Spike | Pushparaj et al.22 | N/A |
| Biotinylated RBD | Acro Biosystems | SPD-C82E4 |
| Stabilized soluble Omicron BA.1 spike | Acro Biosystems | SPN-C82Ee |
| FreeStyle™ 293 Expression Medium | Thermo Fisher | Cat#12338018 |
| FreeStyle™ MAX Reagent | Thermo Fisher | Cat#16447100 |
| Lipofectamine 3000 | Invitrogen | Cat# L3000075 |
| Critical commercial assays | ||
| Superscript IV RT kit | Invitrogen | Cat#18090010 |
| HotStarTaq Plus Kit | Qiagen | Cat#203203 |
| Gibson Assembly Master Mix | New England Biolabs | Cat#E2611L |
| QIAGEN Plasmid Plus Midi Kit | Qiagen | Cat#12945 |
| Pierce Fab Preparation Kit | Thermo Fisher | Cat#44985 |
| LIVE/DEAD™ Fixable Aqua Dead Cell Stain Kit | Thermo Fisher | Cat#L34957 |
| Bright-Glo Luciferase Assay System | Promega | Cat#E2620 |
| Sensor Chip SA | Cytiva | BR100398 |
| Zymoprep Yeast Plasmid Miniprep II | Zymo Research | Cat#D2004 |
| Deposited data | ||
| V(D)Js of neutralizing IgGs HC and LCs | Pushparaj et al.22 | GenBank accession numbers ON086918-25, ON086933-40 |
| Omicron spike + Fab fragment of CAB-A17 | This paper | PDB: 8C2R; EMD: EMD-16397 |
| Localized reconstruction of Omicron RBD + Fab fragment of CAB-A17 | This paper | PDB: 8V4F; EMD: EMD-42970 |
| Experimental models: Cell lines | ||
| FreeStyle™ 293-F Cells | Thermo Fisher | Cat#R79007 |
| HEK293T-ACE2 | Hanke et al.44 | N/A |
| Oligonucleotides | ||
| Colony PCR primers | Vázquez Bernat et al.45 | N/A |
| Recombinant DNA | ||
| AbVec2.0-IGHG1 | Tiller et al.46 | Addgene 80795; RRID: Addgene_80795 |
| AbVec1.1-IGKC | Tiller et al.46 | Addgene 80796; RRID:Addgene_80796 |
| AbVec1.1-IGLC2-XhoI | Tiller et al.46 | Addgene 99575; RRID:Addgene_99575 |
| pCMV-dR8.2 dvpr | Stewart et al.47 | Addgene 8455; RRID:Addgene_8455 |
| pBOBI-FLuc | Rogers et al.35 | Addgene 170674; RRID:Addgene_170674 |
| Software and algorithms | ||
| GraphPad Prism, version 9 | GraphPad Software | https://www.graphpad.com |
| EPU | Thermo Fisher Scientific | https://www.thermofisher.com/se/en/home/electron-microscopy/products/software-em-3d-vis/epu-software.html |
| Warp | Tegunov and Cramer48 | http://www.warpem.com/warp/?page_id=65 |
| cryoSPARC v.3.3.1 | Punjani et al.49 | https://cryosparc.com/ |
| Coot | Emsley et al.50 | https://www2.mrc-lmb.cam.ac.uk/personal/pemsley/coot/ |
| ChimeraX | Goddard et al.51 | https://www.rbvi.ucsf.edu/chimerax/ |
| PHENIX 1.19.2 | Adams et al.52 | https://phenix-online.org/documentation/index.html |
| dms_variants package version 0.8.10 | Starr et al.24 | https://jbloomlab.github.io/dms_variants/ |
| Full workflow used for the DMS analysis in this paper | Starr et al.24 and this work | https://doi.org/10.5281/zenodo.11008143 |
| Other | ||
| NuPAGE 4 to 12%, Bis-Tris, 1.0 mm, Mini Protein Gel, 12-well | Thermo Fisher | Cat#NP0322BOX |
| GloMax Navigator Microplate Luminometer | Promega | Cat#GM2000 |
| CryoMatrix® holey grids (R 2/1 geometry) | Zhenjiang Lehua Technology Co., Ltd | M025-Au300-R20/10 |
| Vitrobot Mk IV | Thermo Fisher Scientific | N/A |
| EMS 100X | Electron Microscopy Sciences | N/A |
| Vitrobot filter paper 595 | Ted Pella | 47000-100 |
| Krios G3i | Thermo Fisher Scientific | N/A |
| BioQuantum K3 | Gatan | 1967 |
| Protein G Sepharose columns | Cytiva | 29-0588-06 |
Resource availability
Lead contact
Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Martin Hällberg (martin.hallberg@ki.se).
Materials availability
Plasmids and Cell lines used in this study can be made available under an appropriate materials transfer agreement. No other unique reagents were generated.
Data and code availability
-
•
Data: The cryo-EM reconstructions have been deposited in the Electron Microscopy DataBank under accession codes EMD-16397 (Omicron spike + Fab fragment of CAB-A17), EMD-42970 (localized reconstruction of Omicron RBD + Fab fragment of CAB-A17). The atomic coordinates have been deposited in the Protein DataBank under IDs 8C2R (Omicron spike + Fab fragment of CAB-A17), 8V4F (localized reconstruction of Omicron RBD + Fab fragment of CAB-A17). Nucleotide sequences for antibodies described in this publication are available at GenBank, with accessions ON086918-ON086925 (HCs) and ON086933-ON086940 (LCs). All other datasets generated during and/or analyzed during the current study are available from the corresponding authors. The raw Illumina FASTQ files for the yeast-displayed antibody-escape experiments are available on the NCBI Short Read Archive (SRA) under BioProject PRJNA639956, BioSample SAMN26873633. The complete antibody-escape scores are available in25 and at https://doi.org/10.5281/zenodo.11008143.
-
•
Code: This study does not generate custom code but full documentation on how the analysis was performed is available at https://doi.org/10.5281/zenodo.11008143.
-
•
Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.
Experimental model and study participant details
Sample collection
Hospital workers at the Karolinska University Hospital in Stockholm, Sweden, were invited to participate in a study to characterize their antibody responses following SARS-CoV-2 infection. Participants who were confirmed PCR-positive in May 2020 provided blood samples in December 2020. Informed consent was obtained from all participants as part of ethics approvals (Decisions# 2020-01620, 2020–02881, and 2020–05630) from the National Ethical Review Agency of Sweden. Blood was collected in EDTA tubes to separate plasma and peripheral blood mononuclear cells (PBMCs). PBMC isolation was performed by density-gradient centrifugation using Ficoll-Paque PLUS (GE Healthcare) or SepMate PBMC Isolation tubes (Stem Cell technologies). After a gradient separation, the mononuclear cell layers were collected, and the cell pellets were washed with sterile PBS. The isolated PBMCs were frozen in FBS with 10% dimethyl sulfoxide (DMSO) (Sigma).
Method details
Single-cell sorting of SARS-CoV-2-specific memory B cells by flow cytometry
Spike-specific memory B cells were stained and single-cell-sorted from PBMCs using a three-laser FACSAria cell sorter (BD Bioscience) by gating on live, CD3−, CD14−, CD20+, CD27+, IgG+, spike+ cells into 96-well PCR plates containing 4 μL of cell lysis buffer. All fluorescently labeled antibodies and the biotinylated spike-trimer conjugated to streptavidin-allophycocyanin (SA-APC) (Invitrogen) were titrated before sorting. Plates were sealed, frozen on dry ice, and stored at −80°C.
Single B cell RT-PCR
The 96-well plates containing lysed single B cells were thawed on ice, and cDNA was generated by reverse transcription using random hexamers, dNTPs, and SuperScript IV reverse transcriptase (Invitrogen). V(D)J sequences were amplified separately in 25 μL nested PCR reactions using 3 μL of cDNA in the 1st round PCR and 1.5 μL PCR product in the 2nd round PCR. The HotStarTaq Plus Kit (Qiagen) and 5′-leader sequence-specific and 3′-IgG-specific primers were used. PCR products from positive wells were purified, Sanger sequenced (Genewiz), and analyzed.
Lineage phylogenetics
A phylogeny was inferred from the heavy chain CAB-A17, CAB-A18, and CAB-A49 sequences, rooted using the inferred germline V and J genes, using FastTree,53 compiled with the double-precision flag, and using a GTR nucleotide model.
Cloning of engineered monoclonal antibodies
The back mutated HC and LC sequences were designed appropriately with overhangs that match the ends of the linearized vector and ordered from Integrated DNA Technologies. The ordered inserts were cloned into expression vectors containing human Igγ1 H, Igκ1 L, or Igλ2 L constant regions by Gibson assembly. Gibson assembly was performed using a Gibson master mix (New England Biolabs), 50ng of vector, 30 ng of insert in a 20 μL reaction, incubated at 50°C for 1 h, and transformed into XL10-Gold ultracompetent cells by heat shock at 42°C for 30 s, according to the manufacturer’s protocol (Agilent Technologies). Colonies were screened45 by PCR and confirmed by Sanger sequencing (Genewiz). Positive colonies were expanded, and plasmids were purified using a plasmid Midi-prep kit (Qiagen) per the manufacturer’s instructions.
Expression and purification of engineered monoclonal antibodies
For mAb expression, 15 μg of each HC and LC vector DNA was transfected into FreeStyle 293-F cells, cultured in 30 mL of FreeStyle 293 expression medium (Life Technologies) at a cell density of 1 × 106 cells/mL and ≥90% viability, using 30 μL of freestyle max reagent (Life Technologies) according to the manufacturer’s protocol. mAbs were harvested and purified seven days after transfection using Protein G Sepharose columns (GE Healthcare). All purified recombinant mAbs were analyzed by SDS-PAGE under reducing conditions using NuPAGE Novex 4–12% Bis-Tris polyacrylamide gels and NuPAGE reducing agent (Life Technologies) according to the manufacturer’s instructions and by binding to SARS-CoV-2 spike and RBD by ELISA.
Cell culture
HEK293T cells (ATCC CRL-3216) and HEK293T-ACE2 cells (stably expressing human ACE2) were cultured in Dulbecco’s Modified Eagle Medium (high glucose, with sodium pyruvate) supplemented with 10% fetal calf serum, 100 units/mL penicillin, and 100 μg/mL streptomycin. Cultures were maintained in a humidified 37°C incubator (5% CO2).
Spike expression vectors
Spike expression vectors for pseudovirus neutralization assays encoded the variant spikes with the last 19 amino acids (or 28 amino acids in the case of SARS-CoV) truncated to enhance incorporation. Spike variants were generated by multi-site directed mutagenesis, and all mutated plasmids were subsequently confirmed by Sanger sequencing. The SARS-CoV spike expression vector was a gift from David Nemazee (Addgene #170447).
Pseudovirus neutralization assay
The co-transfection of HEK293T cells generated spike-pseudotyped lentivirus particles with a spike-encoding plasmid, an HIV gag-pol packaging plasmid (Addgene #8455), and a lentiviral transfer plasmid encoding firefly luciferase (Addgene #170674) using polyethyleneimine (PEI). Pseudoviruses were harvested from the supernatant 48- and 72-h post-transfection, clarified by centrifugation, and stored at −80°C until use. Pseudovirus neutralization assays were performed using HEK293T-ACE2 cells, as previously described.42 Briefly, pseudoviruses titrated to produce ∼100,000 RLUs were incubated with serially diluted mAbs for 60 min at 37°C in black-walled 96-well plates. 10,000 HEK293T-ACE2 cells44 were then added to each well, and plates were incubated for 44–48 h. Luminescence was measured using Bright-Glo (Promega) on a GloMax Navigator Luminometer (Promega). Neutralization was calculated relative to the average of 8 control wells infected in the absence of serum. All fold-change estimates comparisons used IC50 values from neutralization assays run side-by-side.
Mutation frequencies
From the Coronavirus-Binding Antibody Sequences & Structures (CoV-AbDab) database,33 we identified 162 anti-SARS-CoV-2 RBD monoclonal antibodies of human origin, used V3-53 or V3-66 germlines, had a CDR3 length <13, and used either V3-20, V1-9, or V1-33 light chain V genes.
Preparation of fab fragments
Fab fragments were prepared by digesting IgG with immobilized papain and separation of Fab and Fc fragments with a Protein A column, using the Pierce Fab Preparation Kit (ThermoFisher Scientific) per the manufacturer’s instructions.
Surface plasmon resonance assays
Surface plasmon resonance was measured using a Biacore 2000 system with HBS running buffer (10 mM HEPES, 150 mM NaCl, 0.005% surfactant Tween 20 at pH 7.4). Site-specific biotinylated RBD-protein (Acro Biosystems) was immobilized to ∼100 resonance units (RU) on streptavidin surface Sensor Chip SA (Cytiva). MAbs were injected at 30 μL/min (180-s association, 900-s dissociation). Surface regeneration was performed with 10 mM glycine-HCL buffer pH 1.5 for 2 × 20 s. Data processing and overlay plots were generated with BIA evaluation software, and curve fitting was performed using a bivalent model.
Cryo-EM sample preparation and imaging
Spike trimer (1.5 mg/mL; B.1.1.529 Omicron spike including prefusion stabilizing HexaPro mutations54; Acro Biosciences) and a Fab preparation of CAB-A17 were mixed in a 1:0.8 M ratio (S protein monomer–Fab), followed by incubation on ice for 20 min. Prior to cryo-EM grid preparation, grids were glow-discharged with 25 mA for 2 min using an EMS 100X (Electron Microscopy Sciences) glow-discharge unit. The grids used were CryoMatrix holey grids with amorphous alloy film (Nitinol; R 2/1 geometry; Zhenjiang Lehua Technology Co., Ltd). 3 μL aliquots of Fab preparations were applied to the grids; grids were then hand-blotted from the side, followed by two applications of the pre-incubated Omicron-Fab mixture with intermittent hand-blotting. Finally, the grids with sample were vitrified in a Vitrobot Mk IV (Thermo Fisher Scientific) at 4°C and 100% humidity [blot 11 s, blot force 4, 595 filter paper (Ted Pella Inc.)].
Cryo-EM data collection was performed with EPU 2.13 (Thermo Fisher Scientific) using a Krios G3i transmission-electron microscope (Thermo Fisher Scientific) operated at 300 kV in the Karolinska Institutet’s 3D-EM facility. Movies were acquired in nanoprobe EFTEM SA mode at 165 kx nominal magnification with a slit width of 10 eV using a K3 Bioquantum (operated in CDS mode) for 2 s, during which 60 movie frames were collected with a fluence of 0.91 e−/Å2 per frame (see Table S1). A stage tilt of 20-degrees was used to alleviate preferred particle orientations. Motion correction, and Fourier cropping (to 1.01 Å per pixel), were performed on the fly using Warp.48 Micrographs were imported into CryoSPARC 3.31,49 and CTF parameters were estimated using a patch model.
A total of 19,561 micrographs were selected on the basis of an estimated resolution cutoff of 6 Å and defocus below 4 microns. Particles were picked in CryoSPARC through template matching using projections generated from a previous reconstruction of the ancestral SARS-CoV-2 spike. Extracted particles were used for a four-class ab-initio model generation followed by three rounds of heterogeneous refinement in CryoSPARC with an ensuing nonuniform 3D refinement of the resulting particles for the spike-containing particle set. Local CTF refinements were performed interspersed with global aberration estimation and correction (beam tilt, trefoil, tetrafoil, and anisotropic magnification). The two bound Fabs of CAB-A17 had varying orientations relative to the body of the spike and relative to each other. Therefore, 3D classification was performed within CryoSPARC 3.31 without pose alignment using 20 classes with a mask around the two RBDs in up conformations and their bound Fabs. One class was selected for further processing, and from the particles (199,751 out of a total of 398,386) belonging to this class, we performed local reconstruction of the volume close to one of the RBD-Fab interfaces. This process significantly enhanced the resolvability of the map and thereby enabled molecular fitting and interpretation of the maps (Figure S3). All particles were processed with C1 symmetry. Please see Table S1 for data collection and processing statistics.
Cryo-EM model building and structure refinement
The structure of the ancestral spike protein trimer in 2-up conformation PDB: 7A29 55 was used as a starting model for model building. The model was mutated and rebuilt manually to reflect the Omicron spike sequence and structure. Manual model building and structure refinement were performed using COOT50 and PHENIX,52 respectively, in interspersed cycles with secondary structure, Ramachandran, rotamers, and bond geometry restraints. Structure figures and EM density-map figures were generated with PyMol (Schrödinger), UCSF ChimeraX,51 and COOT. All validation was performed with MolProbity.56 Please see Table S1 for refinement and validation results.
FACS sorting of yeast libraries to select RBD mutants with reduced antibody binding
Antibody mapping experiments were performed in biological duplicates using the independent mutant RBD libraries, as previously described.28,30 Mutant yeast libraries pre-sorted for RBD expression and ACE2 binding30 induced to express RBD were washed and incubated with the antibody at the IC90 for binding to the unmutated Wuhan-Hu-1 RBD as measured by flow cytometry for 1 h at room temperature with gentle agitation. After the plasma incubations, the libraries were secondarily labeled for 1 h with 1:100 fluorescein isothiocyanate-conjugated anti-MYC antibody (Immunology Consultants Lab, CYMC-45F) to label for RBD expression and 1:200 Alexa Fluor-647-conjugated goat anti-human-IgG Fc-gamma (Jackson ImmunoResearch 109-135-098) to label for bound antibody. A flow cytometric selection gate was drawn to capture RBD mutants with reduced antibody binding for their degree of RBD expression (Figure S2). Approximately 107 cells were processed for each sample on the BD FACSAria II cell sorter. Antibody-escaped cells were grown overnight in synthetic defined medium with casamino acids (6.7 g/L Yeast Nitrogen Base, 5.0 g/L Casamino acids, 1.065 g/L MES acid, and 2% w/v dextrose +100 U/mL penicillin + 100 μg/mL streptomycin) to expand cells before plasmid extraction.
DNA extraction and illumina sequencing
Plasmid samples were prepared from 30 optical density (OD) units (1.6e8 colony forming units (cfus)) of pre-selection yeast populations and approximately 5 OD units (∼3.2e7 cfus) of overnight cultures of plasma-escaped cells (Zymoprep Yeast Plasmid Miniprep II) as previously described.30,57 The 16-nucleotide barcode sequences identifying each RBD variant were amplified by polymerase chain reaction (PCR) and prepared for Illumina sequencing as described.30,57 Barcodes were sequenced on an Illumina NextSeq 2000 with 50 bp single-end reads.
Quantification and statistical analysis
Analysis of deep sequencing data to compute each mutation’s escape fraction
Escape fractions were computed essentially as described.28 We used the dms_variants package (https://jbloomlab.github.io/dms_variants/, version 0.8.10) to process Illumina sequences into counts of each barcoded RBD variant in each pre-selection and antibody-escape population. For each plasma selection, we computed the escape fraction for each barcoded variant using the deep sequencing counts for each variant in the original and plasma-escape populations and the total fraction of the library that escaped antibody binding via the formula provided in Greaney et al.30 These escape fractions represent the estimated fraction of cells expressing that specific variant that falls in the escape bin, such that a value of 0 means the variant is always bound by plasma and a value of 1 means that it always escapes plasma binding.
We then applied a computational filter to remove variants with >1 amino acid mutation, low sequencing counts, or highly deleterious mutations that might cause antibody escape simply by leading to poor expression of properly folded RBD on the yeast cell surface as described.28 Specifically, we removed mutations with an ACE2 binding score < −2.35 or RBD expression score < −1.0.57 The reported antibody-escape scores throughout the paper are the average across the libraries with the correlations in final single-mutant escape scores are shown in Figure S2E. Full documentation of the computational analysis at26 and at https://doi.org/10.5281/zenodo.11008143.
Statistical analysis
Neutralizing IC50 values were calculated in Prism v9 (GraphPad Software) by fitting a four-parameter logistic curve, to neutralization by serial 3-fold dilutions. Neutralization was bounded between 0 and 100%.
Acknowledgments
The pCMV-dR8.2 dvpr was a gift from Bob Weinberg (Addgene plasmid 8455; http://n2t.net/addgene:8455; RRID: Addgene_8455). pBOBI-FLuc (Addgene plasmid 170674; http://n2t.net/addgene:170674; RRID: Addgene_170674) and pcDNA3.3_CoV1_D28 (Addgene plasmid 170447; http://n2t.net/addgene:170447; RRID: Addgene_170447) were gifts from David Nemazee. We further acknowledge the Karolinska Institutet’s 3D-EM facility, which was used to collect all cryo-EM data. Funding for this work was provided by grants from the Swedish Research Council to G.B.H.K. (2017-00968), B.M. (2018-02381), and B.M.H. (2017-6702, 2018-3808, and 2022-4822); the Knut and Alice Wallenberg Foundation to B.M.H.; the Erling Persson Foundation to G.B.K.H. and B.M.; the SciLifeLab Pandemic Laboratory Preparedness (PLP) Program 2022-2023 (VC-2022-0028) to G.B.K.H.; and the G2P-UK National Virology Consortium funded by MRC/UKRI (grant MR/W005611/1) to T.P.P.
Author contributions
Conceptualization, D.J.S., P.P., B.M., G.B.K.H., and B.M.H.; methodology, D.J.S., P.P., A.J.G., L.H., M.C., J.D.B., B.M., G.B.K.H., and B.M.H.; investigation, D.J.S., P.P., H.D., E.H., X.C.D., A.J.G., C.K., S.K., T.P.P., and B.M.H.; visualization, D.J.S., P.P., H.D., A.J.G., T.P.P., J.D.B., B.M., and B.M.H.; resources, L.H., R.D., G.M.M., and J.A.; funding acquisition, G.M.M., G.B.K.H., B.M., and B.M.H.; supervision, J.D.B., P.D., B.M., G.B.K.H., and B.M.H.; writing – original draft, D.J.S., B.M., G.B.K.H., and B.M.H.; writing – review & editing: D.J.S., P.P., H.D., A.J.G., J.A., B.M., G.B.K.H., and B.M.H.
Declaration of interests
D.J.S. has consulted for AstraZeneca AB on topics related to viral evolution and the use of monoclonal antibodies for SARS-CoV-2. P.P. is currently employed by BioNTech. A.J.G. and J.D.B. have the potential to receive a share of IP revenue as inventors on the Fred Hutch-optioned technology related to deep mutational scanning of the receptor-binding domain of the SARS-CoV-2 spike protein. J.D.B. consults for Apriori Bio, Aerium Therapeutics, Invivyd, and the Vax Company on topics related to viral evolution. B.M.H. is founder and owner of Macrostruct Consulting AB. M.C. and G.B.K.H. are co-founders and co-owners of ImmuneDiscover Sweden AB.
Published: May 17, 2024
Footnotes
Supplemental information can be found online at https://doi.org/10.1016/j.xcrm.2024.101577.
Contributor Information
Ben Murrell, Email: benjamin.murrell@ki.se.
Gunilla B. Karlsson Hedestam, Email: gunilla.karlsson.hedestam@ki.se.
B. Martin Hällberg, Email: martin.hallberg@ki.se.
Supplemental information
References
- 1.Viana R., Moyo S., Amoako D.G., Tegally H., Scheepers C., Althaus C.L., Anyaneji U.J., Bester P.A., Boni M.F., Chand M., et al. Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa. Nature. 2022;603:679–686. doi: 10.1038/s41586-022-04411-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Planas D., Saunders N., Maes P., Guivel-Benhassine F., Planchais C., Buchrieser J., Bolland W.-H., Porrot F., Staropoli I., Lemoine F., et al. Considerable escape of SARS-CoV-2 Omicron to antibody neutralization. Nature. 2022;602:671–675. doi: 10.1038/d41586-021-03827-2. [DOI] [PubMed] [Google Scholar]
- 3.Cao Y., Wang J., Jian F., Xiao T., Song W., Yisimayi A., Huang W., Li Q., Wang P., An R., et al. Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies. Nature. 2022;602:657–663. doi: 10.1038/d41586-021-03796-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Yamasoba D., Kosugi Y., Kimura I., Fujita S., Uriu K., Ito J., Sato K., Genotype to Phenotype Japan G2P-Japan Consortium Neutralisation sensitivity of SARS-CoV-2 omicron subvariants to therapeutic monoclonal antibodies. Lancet Infect. Dis. 2022;22:942–943. doi: 10.1016/S1473-3099(22)00365-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cox M., Peacock T.P., Harvey W.T., Hughes J., Wright D.W., Willett B.J., Thomson E., Gupta R.K., Peacock S.J., Robertson D.L., Carabelli A.M. SARS-CoV-2 variant evasion of monoclonal antibodies based on in vitro studies. Nat. Rev. Microbiol. 2023;21:112–124. doi: 10.1038/s41579-022-00809-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wang Q., Guo Y., Iketani S., Nair M.S., Li Z., Mohri H., Wang M., Yu J., Bowen A.D., Chang J.Y., et al. Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5. Nature. 2022;608:603–608. doi: 10.1038/s41586-022-05053-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sheward D.J., Kim C., Ehling R.A., Pankow A., Castro Dopico X., Dyrdak R., Martin D.P., Reddy S.T., Dillner J., Karlsson Hedestam G.B., et al. Neutralisation sensitivity of the SARS-CoV-2 omicron (B.1.1.529) variant: a cross-sectional study. Lancet Infect. Dis. 2022;22:813–820. doi: 10.1016/S1473-3099(22)00129-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cele S., Jackson L., Khoury D.S., Khan K., Moyo-Gwete T., Tegally H., San J.E., Cromer D., Scheepers C., Amoako D.G., et al. Omicron extensively but incompletely escapes Pfizer BNT162b2 neutralization. Nature. 2022;602:654–656. doi: 10.1038/s41586-021-04387-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Iketani S., Liu L., Guo Y., Liu L., Chan J.F.-W., Huang Y., Wang M., Luo Y., Yu J., Chu H., et al. Antibody evasion properties of SARS-CoV-2 Omicron sublineages. Nature. 2022;604:553–556. doi: 10.1038/s41586-022-04594-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sheward D.J., Kim C., Fischbach J., Muschiol S., Ehling R.A., Björkström N.K., Hedestam G.B.K., Reddy S.T., Albert J., Peacock T.P., et al. Evasion of neutralising antibodies by omicron sublineage BA.2.75. Lancet Infect. Dis. 2022:1421–1422. doi: 10.1016/S1473-3099(22)00524-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Cao Y., Jian F., Wang J., Yu Y., Song W., Yisimayi A., Wang J., An R., Chen X., Zhang N., et al. Imprinted SARS-CoV-2 humoral immunity induces convergent Omicron RBD evolution. Nature. 2023;614:521–529. doi: 10.1038/s41586-022-05644-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cao Y., Yisimayi A., Jian F., Song W., Xiao T., Wang L., Du S., Wang J., Li Q., Chen X., et al. BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection. Nature. 2022;608:593–602. doi: 10.1038/s41586-022-04980-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Sheward D.J., Kim C., Fischbach J., Sato K., Muschiol S., Ehling R.A., Björkström N.K., Karlsson Hedestam G.B., Reddy S.T., Albert J., et al. Omicron sublineage BA.2.75.2 exhibits extensive escape from neutralising antibodies. Lancet Infect. Dis. 2022;22:1538–1540. doi: 10.1016/S1473-3099(22)00663-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kimura I., Yamasoba D., Tamura T., Nao N., Suzuki T., Oda Y., Mitoma S., Ito J., Nasser H., Zahradnik J., et al. Virological characteristics of the SARS-CoV-2 Omicron BA.2 subvariants, including BA.4 and BA.5. Cell. 2022;185:3992–4007.e16. doi: 10.1016/j.cell.2022.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Garcia-Beltran W.F., Denis K.J.S., Hoelzemer A., Lam E.C., Nitido A.D., Sheehan M.L., Berrios C., Ofoman O., Chang C.C., Hauser B.M., et al. mRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variant. Cell. 2021;185:457–466. doi: 10.1016/j.cell.2021.12.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Muecksch F., Wang Z., Cho A., Gaebler C., Ben Tanfous T., DaSilva J., Bednarski E., Ramos V., Zong S., Johnson B., et al. Increased Memory B Cell Potency and Breadth After a SARS-CoV-2 mRNA Boost. Nature. 2022;607:128–134. doi: 10.1038/s41586-022-04778-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Yuan M., Liu H., Wu N.C., Lee C.-C.D., Zhu X., Zhao F., Huang D., Yu W., Hua Y., Tien H., et al. Structural basis of a shared antibody response to SARS-CoV-2. Science. 2020;369:1119–1123. doi: 10.1126/science.abd2321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Tan T.J.C., Yuan M., Kuzelka K., Padron G.C., Beal J.R., Chen X., Wang Y., Rivera-Cardona J., Zhu X., Stadtmueller B.M., et al. Sequence signatures of two public antibody clonotypes that bind SARS-CoV-2 receptor binding domain. Nat. Commun. 2021;12:3815. doi: 10.1038/s41467-021-24123-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Barnes C.O., Jette C.A., Abernathy M.E., Dam K.-M.A., Esswein S.R., Gristick H.B., Malyutin A.G., Sharaf N.G., Huey-Tubman K.E., Lee Y.E., et al. SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies. Nature. 2020;588:682–687. doi: 10.1038/s41586-020-2852-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Dejnirattisai W., Zhou D., Supasa P., Liu C., Mentzer A.J., Ginn H.M., Zhao Y., Duyvesteyn H.M.E., Tuekprakhon A., Nutalai R., et al. Antibody evasion by the P.1 strain of SARS-CoV-2. Cell. 2021;184:2939–2954.e9. doi: 10.1016/j.cell.2021.03.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yuan M., Huang D., Lee C.-C.D., Wu N.C., Jackson A.M., Zhu X., Liu H., Peng L., van Gils M.J., Sanders R.W., et al. Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants. Science. 2021;373:818–823. doi: 10.1126/science.abh1139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Pushparaj P., Nicoletto A., Sheward D.J., Das H., Castro Dopico X., Perez Vidakovics L., Hanke L., Chernyshev M., Narang S., Kim S., et al. Immunoglobulin germline gene polymorphisms influence the function of SARS-CoV-2 neutralizing antibodies. Immunity. 2023;56:193–206.e7. doi: 10.1016/j.immuni.2022.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Barnes C.O., West A.P., Jr., Huey-Tubman K.E., Hoffmann M.A.G., Sharaf N.G., Hoffman P.R., Koranda N., Gristick H.B., Gaebler C., Muecksch F., et al. Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies. Cell. 2020;182:828–842.e16. doi: 10.1016/j.cell.2020.06.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Starr T.N., Greaney A.J., Hilton S.K., Ellis D., Crawford K.H.D., Dingens A.S., Navarro M.J., Bowen J.E., Tortorici M.A., Walls A.C., et al. Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding. Cell. 2020;182:1295–1310.e20. doi: 10.1016/j.cell.2020.08.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.https://github.com/jbloomlab/SARS-CoV-2-RBD_MAP_Karolinska/blob/main/results/supp_data/karolinska_raw_data.csv
- 26.https://jbloomlab.github.io/SARS-CoV-2-RBD_MAP_Karolinska/
- 27.Greaney A.J., Starr T.N., Barnes C.O., Weisblum Y., Schmidt F., Caskey M., Gaebler C., Cho A., Agudelo M., Finkin S., et al. Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies. Nat. Commun. 2021;12:4196. doi: 10.1038/s41467-021-24435-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Starr T.N., Greaney A.J., Addetia A., Hannon W.W., Choudhary M.C., Dingens A.S., Li J.Z., Bloom J.D. Prospective mapping of viral mutations that escape antibodies used to treat COVID-19. Science. 2021;371:850–854. doi: 10.1126/science.abf9302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zhang Q., Ju B., Ge J., Chan J.F.-W., Cheng L., Wang R., Huang W., Fang M., Chen P., Zhou B., et al. Potent and protective IGHV3-53/3-66 public antibodies and their shared escape mutant on the spike of SARS-CoV-2. Nat. Commun. 2021;12:4210. doi: 10.1038/s41467-021-24514-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Greaney A.J., Starr T.N., Gilchuk P., Zost S.J., Binshtein E., Loes A.N., Hilton S.K., Huddleston J., Eguia R., Crawford K.H.D., et al. Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition. Cell Host Microbe. 2021;29:44–57.e9. doi: 10.1016/j.chom.2020.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gruell H., Vanshylla K., Tober-Lau P., Hillus D., Schommers P., Lehmann C., Kurth F., Sander L.E., Klein F. mRNA booster immunization elicits potent neutralizing serum activity against the SARS-CoV-2 Omicron variant. Nat. Med. 2022;28:477–480. doi: 10.1038/s41591-021-01676-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Teplyakov A., Obmolova G., Malia T.J., Luo J., Muzammil S., Sweet R., Almagro J.C., Gilliland G.L. Structural diversity in a human antibody germline library. mAbs. 2016;8:1045–1063. doi: 10.1080/19420862.2016.1190060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Raybould M.I.J., Kovaltsuk A., Marks C., Deane C.M. CoV-AbDab: the coronavirus antibody database. Bioinformatics. 2021;37:734–735. doi: 10.1093/bioinformatics/btaa739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Westendorf K., Žentelis S., Wang L., Foster D., Vaillancourt P., Wiggin M., Lovett E., van der Lee R., Hendle J., Pustilnik A., et al. LY-CoV1404 (bebtelovimab) potently neutralizes SARS-CoV-2 variants. Cell Rep. 2022;39:110812. doi: 10.1016/j.celrep.2022.110812. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Rogers T.F., Zhao F., Huang D., Beutler N., Burns A., He W.-T., Limbo O., Smith C., Song G., Woehl J., et al. Isolation of potent SARS-CoV-2 neutralizing antibodies and protection from disease in a small animal model. Science. 2020;369:956–963. doi: 10.1126/science.abc7520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Robbiani D.F., Gaebler C., Muecksch F., Lorenzi J.C.C., Wang Z., Cho A., Agudelo M., Barnes C.O., Gazumyan A., Finkin S., et al. Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature. 2020;584:437–442. doi: 10.1038/s41586-020-2456-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Cao Y., Su B., Guo X., Sun W., Deng Y., Bao L., Zhu Q., Zhang X., Zheng Y., Geng C., et al. Potent Neutralizing Antibodies against SARS-CoV-2 Identified by High-Throughput Single-Cell Sequencing of Convalescent Patients’ B Cells. Cell. 2020;182:73–84.e16. doi: 10.1016/j.cell.2020.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Banach B.B., Cerutti G., Fahad A.S., Shen C.-H., Oliveira De Souza M., Katsamba P.S., Tsybovsky Y., Wang P., Nair M.S., Huang Y., et al. Paired heavy- and light-chain signatures contribute to potent SARS-CoV-2 neutralization in public antibody responses. Cell Rep. 2021;37 doi: 10.1016/j.celrep.2021.109771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Thorpe I.F., Brooks C.L. Molecular evolution of affinity and flexibility in the immune system. Proc. Natl. Acad. Sci. USA. 2007;104:8821–8826. doi: 10.1073/pnas.0610064104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang M., Fan Q., Zhou B., Ye H., Shen S., Yu J., Cheng L., Ge X., Ju B., Zhang Z. A key F27I substitution within HCDR1 facilitates the rapid maturation of P2C-1F11-like neutralizing antibodies in a SARS-CoV-2-infected donor. Cell Rep. 2022;40 doi: 10.1016/j.celrep.2022.111335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Nutalai R., Zhou D., Tuekprakhon A., Ginn H.M., Supasa P., Liu C., Huo J., Mentzer A.J., Duyvesteyn H.M.E., Dijokaite-Guraliuc A., et al. Potent cross-reactive antibodies following Omicron breakthrough in vaccinees. Cell. 2022;185:2116–2131.e18. doi: 10.1016/j.cell.2022.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sheward D.J., Mandolesi M., Urgard E., Kim C., Hanke L., Perez Vidakovics L., Pankow A., Smith N.L., Castro Dopico X., McInerney G.M., et al. Beta RBD boost broadens antibody-mediated protection against SARS-CoV-2 variants in animal models. Cell Rep. Med. 2021;2 doi: 10.1016/j.xcrm.2021.100450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Muecksch F., Weisblum Y., Barnes C.O., Schmidt F., Schaefer-Babajew D., Wang Z., C Lorenzi J.C., Flyak A.I., DeLaitsch A.T., Huey-Tubman K.E., et al. Affinity maturation of SARS-CoV-2 neutralizing antibodies confers potency, breadth, and resilience to viral escape mutations. Immunity. 2021;54:1853–1868.e7. doi: 10.1016/j.immuni.2021.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hanke L., Vidakovics Perez L., Sheward D.J., Das H., Schulte T., Moliner-Morro A., Corcoran M., Achour A., Karlsson Hedestam G.B., Hällberg B.M., et al. An alpaca nanobody neutralizes SARS- CoV-2 by blocking receptor interaction. Nat. Commun. 2020;11:4420. doi: 10.1038/s41467-020-18174-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Vázquez Bernat N., Corcoran M., Hardt U., Kaduk M., Phad G.E., Martin M., Karlsson Hedestam G.B. High-quality library preparation for NGS-based immunoglobulin germline gene inference and repertoire expression analysis. Front. Immunol. 2019;10:660. doi: 10.3389/fimmu.2019.00660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Tiller T., Meffre E., Yurasov S., Tsuiji M., Nussenzweig M.C., Wardemann H. Efficient generation of monoclonal antibodies from single human B cells by single cell RT-PCR and expression vector cloning. J. Immunol. Methods. 2008;329:112–124. doi: 10.1016/j.jim.2007.09.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Stewart S.A., Dykxhoorn D.M., Palliser D., Mizuno H., Yu E.Y., An D.S., Sabatini D.M., Chen I.S.Y., Hahn W.C., Sharp P.A., et al. Lentivirus-delivered stable gene silencing by RNAi in primary cells. RNA. 2003;9:493–501. doi: 10.1261/rna.2192803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Tegunov D., Cramer P. Real-time cryo-electron microscopy data preprocessing with Warp. Nat. Methods. 2019;16:1146–1152. doi: 10.1038/s41592-019-0580-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Punjani A., Rubinstein J.L., Fleet D.J., Brubaker M.A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods. 2017;14:290–296. doi: 10.1038/nmeth.4169. [DOI] [PubMed] [Google Scholar]
- 50.Emsley P., Lohkamp B., Scott W.G., Cowtan K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 2010;66:486–501. doi: 10.1107/S0907444910007493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Goddard T.D., Huang C.C., Meng E.C., Pettersen E.F., Couch G.S., Morris J.H., Ferrin T.E. UCSF ChimeraX: Meeting modern challenges in visualization and analysis. Protein Sci. 2018;27:14–25. doi: 10.1002/pro.3235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Adams P.D., Afonine P.V., Bunkóczi G., Chen V.B., Davis I.W., Echols N., Headd J.J., Hung L.-W., Kapral G.J., Grosse-Kunstleve R.W., et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 2010;66:213–221. doi: 10.1107/S0907444909052925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Price M.N., Dehal P.S., Arkin A.P. FastTree 2 - Approximately Maximum-Likelihood Trees for Large Alignments. Plos One. 2010;5 doi: 10.1371/journal.pone.0009490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Hsieh C.-L., Goldsmith J.A., Schaub J.M., DiVenere A.M., Kuo H.-C., Javanmardi K., Le K.C., Wrapp D., Lee A.G., Liu Y., et al. Structure-based design of prefusion-stabilized SARS-CoV-2 spikes. Science. 2020;369:1501–1505. doi: 10.1126/science.abd0826. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Custódio T.F., Das H., Sheward D.J., Hanke L., Pazicky S., Pieprzyk J., Sorgenfrei M., Schroer M.A., Gruzinov A.Y., Jeffries C.M., et al. Selection, biophysical and structural analysis of synthetic nanobodies that effectively neutralize SARS-CoV-2. Nat. Commun. 2020;11:5588. doi: 10.1038/s41467-020-19204-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Williams C.J., Headd J.J., Moriarty N.W., Prisant M.G., Videau L.L., Deis L.N., Verma V., Keedy D.A., Hintze B.J., Chen V.B., et al. MolProbity: More and better reference data for improved all-atom structure validation. Protein Sci. 2018;27:293–315. doi: 10.1002/pro.3330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Elbe S., Buckland-Merrett G. Data, disease and diplomacy: GISAID’s innovative contribution to global health. Glob. Chall. 2017;1:33–46. doi: 10.1002/gch2.1018. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
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Data: The cryo-EM reconstructions have been deposited in the Electron Microscopy DataBank under accession codes EMD-16397 (Omicron spike + Fab fragment of CAB-A17), EMD-42970 (localized reconstruction of Omicron RBD + Fab fragment of CAB-A17). The atomic coordinates have been deposited in the Protein DataBank under IDs 8C2R (Omicron spike + Fab fragment of CAB-A17), 8V4F (localized reconstruction of Omicron RBD + Fab fragment of CAB-A17). Nucleotide sequences for antibodies described in this publication are available at GenBank, with accessions ON086918-ON086925 (HCs) and ON086933-ON086940 (LCs). All other datasets generated during and/or analyzed during the current study are available from the corresponding authors. The raw Illumina FASTQ files for the yeast-displayed antibody-escape experiments are available on the NCBI Short Read Archive (SRA) under BioProject PRJNA639956, BioSample SAMN26873633. The complete antibody-escape scores are available in25 and at https://doi.org/10.5281/zenodo.11008143.
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Code: This study does not generate custom code but full documentation on how the analysis was performed is available at https://doi.org/10.5281/zenodo.11008143.
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Any additional information required to reanalyze the data reported in this work paper is available from the lead contact upon request.




