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[Preprint]. 2020 Dec 1:2020.11.17.387092. Originally published 2020 Nov 17. [Version 2] doi: 10.1101/2020.11.17.387092

Neutralization of SARS-CoV-2 and zoonotic coronavirus threats by mosaic nanoparticle vaccination

Alexander A Cohen 1, Priyanthi NP Gnanapragasam 1, Yu E Lee 1, Pauline R Hoffman 1, Susan Ou 1, Leesa M Kakutani 1, Jennifer R Keeffe 1, Hung-Jen Wu 2, Mark Howarth 2, Anthony P West 1, Christopher O Barnes 1, Michel C Nussenzweig 3, Pamela J Bjorkman 1,*
PMCID: PMC7685334  PMID: 33236016

Abstract

Protection against SARS-CoV-2 and SARS-related zoonotic coronaviruses with pandemic potential is urgently needed. To evaluate immunization strategies, we made nanoparticles displaying the receptor-binding domain (RBD) of only SARS-CoV-2 (homotypic nanoparticles) or co-displaying the SARS-CoV-2 RBD along with RBDs from animal betacoronaviruses that represent threats to humans (mosaic nanoparticles; 4–8 distinct RBDs). Mice immunized with RBD-nanoparticles, but not soluble antigen, elicited cross-reactive antibody binding and neutralization responses, confirming increased immunogenicity from multimerization. Mosaic-RBD-nanoparticles elicited antibodies with superior cross-reactive recognition of heterologous RBDs compared to sera from immunizations with homotypic SARS-CoV-2–RBD-nanoparticles or antibodies from COVID-19 convalescent human plasmas. Moreover, sera from mosaic-RBD-immunized mice neutralized heterologous pseudotyped coronaviruses equivalently or better after priming than sera from homotypic SARS-CoV-2–RBD-nanoparticle immunizations, demonstrating no loss of immunogenicity against any particular RBD resulting from co-display. Thus, a single immunization with mosaic-RBD-nanoparticles provides a potential strategy to simultaneously protect against SARS-CoV-2 and emerging zoonotic coronaviruses.

Keywords: neutralizing antibodies, receptor-binding domain, sarbecoviruses, vaccine, zoonotic coronaviruses


SARS-CoV-2, a newly-emergent betacoronavirus, resulted in a global pandemic in 2020, infecting millions and causing the respiratory disease COVID-19 (1, 2). Two other zoonotic betacoronaviruses, SARS-CoV and MERS-CoV, also resulted in outbreaks within the last 20 years (3). All three viruses presumably originated in bats (4), with SARS-CoV and MERS-CoV adapting to intermediary animal hosts before jumping to humans. SARS-like viruses circulate in bats and serological surveillance of people living near caves where bats carry diverse coronaviruses demonstrated direct transmission of SARS-like viruses with pandemic potential (5), suggesting a pan-coronavirus vaccine is needed to protect against future outbreaks and pandemics. In particular, the bat WIV1 and SHC014 strains are thought to represent an ongoing threat to humans (6, 7).

Most current SARS-CoV-2 vaccine candidates include the spike trimer (S), the viral protein that mediates target cell entry after one or more of its receptor-binding domains (RBDs; S1B domains) adopt an “up” position to bind a host receptor (Fig. 1A). The RBDs of human coronaviruses SARS-CoV-2, SARS-CoV, HCoV-NL63, and related animal coronaviruses (WIV1 and SCH014) utilize angiotensin-converting enzyme 2 (ACE2) as their host receptor (1, 8, 9), while other coronaviruses use receptors such as dipeptidyl peptidase 4 (10) or sialic acids (11, 12). Consistent with its function in viral entry, S is the primary target of neutralizing antibodies (1322), with many targeting the RBD (1418, 2126).

Figure 1.

Figure 1.

Properties of RBDs chosen for this study. (A) Left: Structure of SARS-CoV-2 S trimer (PDB 6VXX) with one RBD (dashed circle) in an “up” position. Middle and right: Sequence conservation of 12 RBDs calculated by the ConSurf Database (46) plotted on a surface representation of the RBD structure (PDB 7BZ5). Epitopes for representatives from defined classes of RBD-binding antibodies (class 1-class 4) (24) indicated by dashed lines. (B) Summary of properties of the viral strains from which the 12 sarbecovirus RBDs were derived. (C) Phylogenetic tree of human and selected other coronaviruses based on RBD protein sequences. (D) Heat map showing percent amino acid sequence identities between 12 sarbecovirus RBDs.

Multivalent display of antigen enhances B-cell responses and can provide longer-lasting immunity than monovalent antigens (27, 28), thus protein-based vaccine candidates often involve a nanoparticle that enables antigen multimerization. Many nanoparticles and coupling strategies have been explored for vaccine design (29), with a “plug and display” strategy being especially useful (30, 31). In this approach, SpyCatcher proteins fused to subunits of a virus-like particle form spontaneous isopeptide bonds to purified antigens tagged with a 13-residue SpyTag (2932). The SpyCatcher-SpyTag system was used to prepare multimerized SARS-CoV-2 RBD or S trimer that elicited high titers of neutralizing antibodies (33, 34). Although promising for protection against SARS-CoV-2, coronavirus reservoirs in bats suggest future cross-species transmission (6, 7, 35), necessitating a vaccine that protects against emerging coronaviruses as well as SARS-CoV-2. Here we prepared SpyCatcher003-mi3 nanoparticles (31, 36) simultaneously displaying SpyTagged RBDs from human and animal coronaviruses to evaluate whether mosaic particles can elicit cross-reactive antibody responses, as previously demonstrated for influenza head domain mosaic particles (37). We show that mice immunized with homotypic or mosaic nanoparticles produced broad binding and neutralizing responses, in contrast to plasma antibodies elicited in humans by SARS-CoV-2 infection. Moreover, mosaic nanoparticles showed enhanced heterologous binding and neutralization properties against human and bat SARS-like betacoronaviruses (sarbecoviruses) compared with homotypic SARS-CoV-2 nanoparticles.

We used a study of sarbecovirus RBD receptor usage and cell tropism (38) to guide our choice of RBDs for co-display on mosaic particles. From 29 RBDs that were classified into distinct clades (clades 1, 2, 1/2, and 3) (38), we identified diverse RBDs from SARS-CoV, WIV1, and SHC014 (clade 1), SARS-CoV-2 (clade 1/2), Rs4081, Yunnan 2011 (Yun11), and Rf1 (clade 2), and BM48–31 (clade 3), of which SARS-CoV-2 and SARS-CoV are human coronaviruses and the rest are bat viruses originating in China or Bulgaria (BM48–31). We also included RBDs from the GX pangolin clade 1/2 coronavirus (referred to here as pang17) (39), RaTG13, the bat clade 1/2 virus most closely related to SARS-CoV-2 (40), RmYN02, a clade 2 bat virus from China (41), and BtKY72, a Kenyan bat clade 3 virus (42). Mapping of the sequence conservation across selected RBDs showed varying degrees of sequence identity (68–95%), with highest sequence variability in the ACE2 receptor-binding motif (Fig. 1AD; fig. S1). We chose 8 of the 12 RBDs for making three types of mosaic nanoparticles: mosaic-4a (coupled to SARS-2, RaTG13, SHC014, and Rs4081 RBDs), mosaic-4b (coupled to pang17, RmYN02, RF1, and WIV1 RBDs), and mosaic-8 (coupled to all eight RBDs), and compared them with homotypic mi3 particles constructed from SARS-CoV-2 RBD alone (homotypic SARS-2). RBDs from SARS, Yun11, BM-4831, and BtKY72, which were not coupled to mosaic particles, were used to evaluate sera for cross-reactive responses.

SpyTag003-RBDs were coupled to SpyCatcher003-mi3 (60 potential conjugation sites) (36, 43) to make homotypic and mosaic nanoparticles (Fig 2A). Particles were purified by size exclusion chromatography (SEC) and analyzed by SDS-PAGE, revealing monodisperse SEC profiles and nearly 100% conjugation (Fig. 2B,C). Representative RBDs were conjugated to SpyCatcher003-mi3 with similar or identical efficiencies (fig. S2), suggesting that mosaic particles contained approximately equimolar mixtures of different RBDs.

Figure 2.

Figure 2.

Construction of RBD nanoparticles. (A) Left: SpyTagged RBDs were attached to SpyCatcher003-mi3 to make a homotypic particle and three mosaic particles. 10 of 60 potential coupling sites on mi3 are shown for clarity. (B) SEC profile showing separation of RBD nanoparticles and free RBD proteins. (C) Coomassie-stained SDS-PAGE of RBD-coupled nanoparticles, free RBD proteins, and uncoupled SpyCatcher003-mi3 particles (SC3-mi3).

We immunized mice with either soluble SARS-CoV-2 spike trimer (SARS-2 S), nanoparticles displaying only SARS-2 RBD (homotypic SARS-2), nanoparticles co-displaying RBDs (mosaic-4a, mosaic-4b, mosaic-8), or unconjugated nanoparticles (mi3). IgG responses were evaluated after prime or boost immunizations (Fig. 3A) by ELISA against SARS-2 S (Fig. 3B) or a panel of RBDs (Fig. 3CF; fig. S3). Sera from unconjugated nanoparticle-immunized animals (black in Fig. 3, fig. S3) showed no responses above background. Anti-SARS-2 S trimer and anti-SARS-2 RBD serum responses were similar (Fig. 3B,C), demonstrating that antibodies elicited against RBDs can access their epitopes on SARS-2 S trimer. We also conducted in vitro neutralization assays using pseudotyped viruses for strains known to infect 293TACE2 target cells (SARS-CoV-2, SARS, WIV1 and SHC104). Neutralization and ELISA titers were significantly correlated (fig. S4), thus suggesting ELISAs are predictive of neutralization results when pseudotyped neutralization assays were not possible due to unknown viral entry receptor usage.

Figure 3.

Figure 3.

RBD nanoparticles induce cross-reactive IgG responses in immunized mice. Red and gray rectangles below ELISA and neutralization data represent mismatched strains (red; RBD from that strain was not present on the immunized particle) or matched strains (gray; RBD was present on the immunized particle). (A) Left: Immunization schedule. Adjuvant=AddaVax (Invivogen). Right: Key for immunizations; number of mice in each cohort is indicated. (B-F) Mice were immunized with soluble SARS-CoV-2 S trimer (SARS-2 S; brown bars), or the following nanoparticles: homotypic SARS-2 (red), mosaic-4a (green), mosaic-4b (yellow), mosaic-8 (blue), or unconjugated SpyCatcher003-mi3 (mi3; black). ELISA data from serum IgG responses to SARS-2 spike trimer (B) or RBDs (C-F) shown as area under the curve (AUC). For C-E, neutralization potencies are presented as half-maximal inhibitory dilutions (ID50 values) of sera against the pseudoviruses from the indicated coronavirus strains. Dashed horizontal lines correspond to the lowest dilution representing the limit of detection. Each dot represents serum from one animal, with means and standard deviations for vaccinated cohorts represented by rectangles (mean) and horizontal lines (SD). Significant differences between groups linked by horizontal lines are indicated by asterisks and p-values. NS=not significant. (B-F) Neutralization and/or binding data for serum IgGs for recognition of (B) SARS-2 spike trimer, (C) SARS-2 RBD and SARS-2 pseudovirus, (D) SHC014 and WIV1 RBDs and corresponding pseudoviruses, (E) SARS RBD and SARS pseudovirus, (F) Yun 11, BM-4831, and BtKY72 RBDs.

Mice immunized with soluble SARS-2 S trimer (brown bars) showed no binding or neutralization except for autologous responses against SARS-2 after boosting (Fig. 3CF). By contrast, sera from RBD-nanoparticle–immunized animals (red, green, yellow, and blue bars) exhibited binding to all RBDs (Fig. 3CF; fig. S3A) and neutralization against all four strains after boosting (Fig. 3CE), consistent with increased immunogenicities of multimerized antigen on nanoparticles versus soluble antigen (27, 28). Homotypic SARS-2 nanoparticles, but not soluble SARS-2 trimer, induced heterologous responses to zoonotic RBDs and neutralization of heterologous coronaviruses (Fig. 3DF). To address whether co-display of SARS-2 RBD along with other RBDs on mosaic-4a and mosaic-8 versus homotypic display of SARS-2 RBD (homotypic SARS-2) diminished anti-SARS-2 responses, we compared SARS-2–specific ELISA and neutralization titers for mosaic versus homotypic immunizations (Fig. 3C): there were no significant differences in IgG anti-SARS-2 titers for animals immunized with homotypic (red in Fig. 3C) versus mosaic nanoparticles (green and blue in Fig. 3C). Thus there was no advantage of immunization with a homotypic RBD-nanoparticle versus a mosaic-nanoparticle that included SARS-2 RBD in terms of the magnitude of immune responses against SARS-2.

We next compared serum responses against matched RBDs (RBDs present on an injected nanoparticle; gray horizontal shading) versus mismatched RBDs (RBDs not present on injected nanoparticle; red horizontal shading) (Fig. 3; fig. S3). Although SARS-2 RBD was not presented on mosaic-4b, antibody titers elicited by mosaic-4b immunization (yellow) were not significantly different than titers elicited by matched nanoparticle immunizations (homotypic SARS-2 (red), mosaic-4a (green), and mosaic-8 (blue)), and sera from boosted mosaic-4b–immunized mice neutralized SARS-2 pseudovirus (Fig. 3C). In other matched versus mismatched comparisons, sera showed binding and neutralization of SHC014 and WIV1 regardless of whether these RBDs were included on the injected nanoparticle (Fig. 3D), underscoring sharing of common epitopes among RBDs (Fig. 1A). Demonstrating advantages of mosaic versus homotypic SARS-2 nanoparticles, sera from mosaic-8–immunized mice bound SHC014 and WIV1 RBDs significantly better after the prime than sera from homotypic SARS-2-immunized mice and retained better binding to SHC014 RBD after boosting (Fig. 3D). Moreover, mosaic-8–immunized and boosted sera were 7–44–fold more potent than sera from homotypic SARS-2-immunized animals in neutralizing SHC014 and WIV1 (Fig. 3D). Mosaic-8 included SHC014 and WIV1 RBDs, again suggesting that combining RBDs on a mosaic nanoparticle does not diminish the immune response against a particular RBD, as also suggested by ELISAs against Rs4081 and RaTG13 (fig. S3A,B).

To address whether RBD-nanoparticles elicited antibodies against totally mismatched strains, we evaluated sera for binding to SARS, Yun11, BM-4831, and BtKY72 RBDs (Fig. 3E,F) and neutralization of SARS (Fig. 3E). Against these RBDs, we found significantly higher and more cross-reactive antibody responses for mosaic immunizations compared with homotypic SARS-2 immunizations: e.g., mosaic-8–primed and boosted animals showed significantly higher titers against SARS RBD than sera from homotypic SARS-2–immunized mice (Fig. 3E). After the prime, sera from the homotypic SARS-2-immunized animals did not neutralize SARS, whereas the mosaic-4b and mosaic-8 sera were neutralizing (Fig. 3E), perhaps facilitated by these nanoparticles including WIV1 RBD, which is related by 95% amino acid identity to SARS RBD (Fig. 1D). After boosting, SARS-2 and mosaic-4a sera were also neutralizing, although titers were ~4-fold lower than for mosaic-8-immunized animals (Fig. 3E). ELISA titers against other mismatched RBDs (Yun11, BM-4831, BtKY72) were significantly higher for sera collected after mosaic-8 priming compared to sera from homotypic SARS-2 priming, and heightened binding was retained after boosting (Fig. 3F). Thus mosaic nanoparticles, particularly mosaic-8, induce higher antibody titers against mismatched RBDs than homotypic SARS-2 nanoparticles, again favoring the co-display approach for inducing broader anti-coronavirus responses, especially after a single prime.

We investigated the potential for cross-reactive recognition using flow cytometry to ask whether B-cell receptors on IgG+ splenic B-cells from RBD-nanoparticle-boosted animals could simultaneously recognize RBDs from SARS-2 and Rs4081 (related by 70% sequence identity) (Fig. 1D; fig. S5). Whereas control animals were negative, all other groups showed B-cells that recognized SARS-2 and Rs4081 RBDs simultaneously, suggesting the existence of antibodies that cross-react with both RBDs (fig. S5E).

To compare antibodies elicited by RBD-nanoparticle immunization to antibodies elicited by SARS-CoV-2 infection, we repeated ELISAs against the RBD panel using IgGs from COVID-19 plasma donors (44) (Fig. 4). Most of the convalescent plasmas showed detectable binding to SARS-2 RBD (Fig. 4A). However, binding to other sarbecovirus RBDs (RaTG13, SHC014, WIV1, Rs4081 and BM-4831) was significantly weaker than binding to SARS 2 RBD, with many human plasma IgGs showing no binding above background (Fig. 4BG). In addition, although convalescent plasma IgGs neutralized SARS-CoV-2 pseudoviruses, they showed weak or no neutralization of SARS, SHC014, or WIV1 pseudoviruses (Fig. 4H). These results are consistent with little to no cross-reactive recognition of RBDs from zoonotic coronavirus strains resulting from SARS-CoV-2 infection in humans.

Figure 4.

Figure 4.

IgGs from convalescent COVID-19 plasma (18, 24) show little to no cross-reactive responses. (A-F) Plasma IgG responses were evaluated by ELISA (data shown as binding curves with plasma names (18) listed) against RBDs from (A) SARS-2, (B) RaTG13, (C) SHC014, (D) WIV1, (E) Rs4081, and (F) BM-4831. Data points are plotted as the mean and standard deviation of duplicate measurements. IOMA, an anti-HIV-1 IgG (47), was used as a control. (G) ELISA results from panels A-F presented as area under the curve (AUC), where each dot represents one plasma sample, with means and standard deviations represented by rectangles (mean) and horizontal lines (SD). Significant differences between groups linked by horizontal lines are indicated by asterisks and p-values. (H) IC50 values for pseudotyped neutralization assays using IgGs from COV7, COV21, and COV72 plasmas (18) (evaluated at top concentrations of 1500 μg/mL) against the indicated strains. Mean=arithmetic mean IC50; SD=standard deviation.

In conclusion, we confirmed that multimerization of RBDs on nanoparticles enhances immunogenicity compared with soluble antigen (33, 45) and further showed that homotypic SARS-2 nanoparticle immunization produced IgG responses that bound zoonotic RBDs and neutralized heterologous coronaviruses after boosting. By contrast, soluble SARS-2 S immunization and natural infection with SARS-CoV-2 resulted in weak or no heterologous responses in plasmas. Co-display of SARS-2 RBD along with diverse RBDs on mosaic nanoparticles showed no disadvantages for eliciting neutralizing antibodies against SARS-CoV-2 compared with homotypic SARS-2 nanoparticles, suggesting mosaic nanoparticles as a candidate vaccine to protect against COVID-19. Furthermore, compared with homotypic SARS-2 RBD particles, the mosaic co-display strategy demonstrated advantages for eliciting neutralizing antibodies against zoonotic sarbecoviruses, thus potentially also providing protection against emerging coronaviruses with human spillover potential. Importantly, neutralization of matched and mismatched strains was observed after mosaic priming, suggesting a single injection of a mosaic-RBD nanoparticle might be sufficient in a vaccine, greatly simplifying large-scale immunizations. Since COVID-19 convalescent plasmas showed little to no recognition of coronavirus RBDs other than SARS-CoV-2, COVD-19–induced immunity in humans may not protect against another emergent coronavirus. However, the mosaic nanoparticles described here could be used as described and/or easily adapted to present RBDs from newly-discovered zoonotic coronaviruses. Since these types of RBD-nanoparticles retain immunogenicity after lyophilization (33), they could be easily stored for widespread use. Thus this modular vaccine platform could provide protection from SARS-CoV-2 and potential future coronavirus pandemics resulting from emergent zoonotic sarbecoviruses.

Methods

Phylogenetic tree.

A sequence alignment of coronavirus RBD domains was made using Clustal Omega (48). A phylogenetic tree was calculated from this amino acid alignment using PhyML 3.0 (49), and a figure of this tree was made using PRESTO (http://www.atgc-montpellier.fr/presto).

Expression of RBD and S proteins.

Mammalian expression vectors encoding the RBDs of SARS-CoV-2 (GenBank MN985325.1; S protein residues 319–539) and SARS-CoV S (GenBank AAP13441.1; residues 318–510) with an N-terminal human IL-2 or Mu phosphatase signal peptide were previously described (44). Expression vectors were constructed similarly for RBDs from the following other sarbecovirus strains: RaTG13-CoV (GenBank QHR63300; S protein residues 319–541), SHC014-CoV (GenBank KC881005; residues 307–524), Rs4081-CoV (GenBank KY417143; S protein residues 310–515), pangolin17-CoV (GenBank QIA48632; residues 317–539), RmYN02-CoV (GSAID EPI_ISL_412977; residues 298–503), Rf1-CoV (GenBank DQ412042; residues 310–515), W1V1-CoV (GenBank KF367457; residues 307–528), Yun11-CoV (GenBank JX993988; residues 310–515), BM-4831-CoV (GenBank NC014470; residues 310–530), BtkY72-CoV (GenBank KY352407; residues 309–530). Two versions of each RBD expression vector were made: one including a C-terminal hexahistidine tag (G-HHHHHH) and SpyTag003 (RGVPHIVMVDAYKRYK) (43) (for coupling to SpyCatcher003-mi3) and one with only a hexahistidine tag (for ELISAs). Biotinylated SARS-CoV-2 and Rs4081 RBDs were produced by co-transfection of Avi/His-tagged RBD expression plasmids with an expression plasmid encoding an ER-directed BirA enzyme (kind gift of Michael Anaya, Caltech). RBD proteins were purified from transiently-transfected Expi293F cell (Gibco) supernatants by nickel affinity and size-exclusion chromatography (44). Peak fractions corresponding to RBDs were identified by SDS-PAGE and then pooled and stored at 4°C. A trimeric SARS-CoV-2 ectodomain with 6P stabilizing mutations (50) was expressed and purified as described (24). To prepare fluorochrome-conjugated streptavidin-tetramerized RBDs, biotinylated SARS-2 and Rs4081 RBDs were incubated with streptavidin-APC (eBioscience) and streptavidin-PE (ThermoFisher), respectively, overnight at 4°C at a 1:1 molar ratio of RBD to streptavidin subunit.

Preparation of human plasma IgGs.

Plasma samples collected from COVID-19 convalescent and healthy donors are described in (18). Human IgGs were isolated from heat-inactivated plasma samples using 5-mL HiTrap MabSelect SuRe columns (GE Healthcare Life Sciences) as described (24).

Preparation of RBD-mi3 nanoparticles.

SpyCatcher003-mi3 particles were prepared by purification from BL21 (DE3)-RIPL E coli (Agilent) transformed with a pET28a SpyCatcher003-mi3 gene (including an N-terminal 6x-His tag) as described (51). Briefly, cell pellets from transformed bacterial were lysed with a cell disruptor in the presence of 2.0 mM PMSF (Sigma). Lysates were spun at 21,000xg for 30 min, filtered with a 0.2 μm filter, and mi3 particles were isolated by Ni-NTA chromatography using a pre-packed HisTrap HP column (GE Healthcare). Eluted particles were concentrated using an Amicon Ultra 15 mL 30K concentrator (MilliporeSigma) and purified by SEC using a HiLoad® 16/600 Superdex® 200 (GE Healthcare) column equilibrated with 25 mM Tris-HCl pH 8.0, 150 mM NaCl, 0.02% NaN3 (TBS). SpyCatcher-mi3 particles were stored at 4°C and used for conjugations for up to 1 month after filtering with a 0.2 μm filter or spinning at 21,000xg for 10 min.

Purified SpyCatcher003-mi3 was incubated with a 3-fold molar excess (RBD to mi3 subunit) of purified SpyTagged RBD (either a single RBD for making homotypic SARS-CoV-2 RBD particles or an equimolar mixture of four or eight RBDs for making mosaic particles) overnight at room temperature in TBS. Conjugated mi3 particle were separated from free RBDs by SEC on a Superose 6 10/300 column (GE Healthcare) equilibrated with PBS (20 mM sodium phosphate pH 7.5, 150 mM NaCl). Fractions corresponding to conjugated mi3 particles were collected and analyzed by SDS-PAGE. Concentrations of conjugated mi3 particles were determined using a Bio-Rad Protein Assay.

Immunizations.

Animal procedures and experiments were performed according to protocols approved by the IACUC. Experiments were done using 4–6 week old female Balb/c mice (Charles River Laboratories), with 5 animals each for cohorts immunized with soluble SARS-CoV-2 S or SpyCatcher003-mi3, and 10 animals each for remaining cohorts (Fig 3A). Immunizations were carried out with intraperitoneal (ip) injections of either 5 μg of conjugated RBD (calculated as the mass of the RBD, assuming 100% efficiency of conjugation to SpyCatcher003-mi3), 5 μg of soluble SARS-CoV-2 S, or 6 μg of unconjugated SpyCatcher003-mi3, in 100 μL of 50% v/v AddaVax adjuvant (Invivogen). Animals were boosted 4 weeks after the prime with the same quantity of antigen in adjuvant. Animals were bled every 2 weeks via tail veins, and then euthanized 8 weeks after the prime (Day 56, 57) and bled through cardiac puncture. Blood samples were allowed to clot at room temperature in MiniCollect® Serum and Plasma Tubes (Greiner), and serum was harvested, preserved in liquid nitrogen, and stored at −80°C until use.

Sera for ELISAs were collected at Day 14 (Prime) and Day 42 (Boost). Sera for neutralization assays were collected at Day 28 (Prime) and Day 56 (Boost) (Fig. 3, fig. S3).

ELISAs.

10 μg/ml of a purified RBD (not SpyTagged) in 0.1 M NaHCO3 pH 9.8 was coated onto Nunc® MaxiSorp 384-well plates (Sigma) and stored overnight at 4°C. Plates were washed with Tris-buffered saline with 0.1% Tween 20 (TBS-T) after blocking with 3% bovine serum albumin (BSA) in TBS-T for 1 hr at room temperature. Mouse serum was diluted 1:100 and then serially diluted by 4-fold with TBS-T/3% BSA and added to plates for 3 hr at room temperature. A 1:50,000 dilution of secondary HRP-conjugated goat anti-mouse IgG (Abcam) was added after washing for 1 hr at room temperature. Plates were developed using SuperSignal ELISA Femto Maximum Sensitivity Substrate (ThermoFisher) and read at 425 nm. Curves were plotted and integrated to obtain the area under the curve (AUC) using Graphpad Prism 8.3 assuming a one-site binding model with a Hill coefficient (Fig. 3; fig. S3). We also calculated EC50s and endpoint titers, which were determined using the dilution that was at or below the mean + 2 x the standard deviation of the plate control (no primary serum added) for ELISA binding data (fig. S3C,D). AUC calculations were used as they better capture changes in maximum binding (52). Statistical significance of titer differences between groups were calculated using Tukey’s multiple comparison test using Graphpad Prism 8.3.

Neutralization assays.

SARS-CoV-2, SARS, WIV1, and SHC014 pseudoviruses based on HIV lentiviral particles were prepared as described (18, 53) using genes encoding S protein sequences lacking C-terminal residues in the cytoplasmic tail: 21 amino acid deletions for SARS-CoV-2, WIV1, and SHC014 and a 19 amino acid deletion for SARS-CoV. For neutralization assays, four-fold serially diluted sera from immunized mice were incubated with a pseudotyped virus for 1 hour at 37°C. After incubation with 293TACE2 target cells for 48 hours at 37°C, cells were washed twice with phosphate-buffered saline (PBS) and lysed with Luciferase Cell Culture Lysis 5x reagent (Promega). NanoLuc Luciferase activity in lysates was measured using the Nano-Glo Luciferase Assay System (Promega). Relative luminescence units (RLUs) were normalized to values derived from cells infected with pseudotyped virus in the absence of serum. Half-maximal inhibitory dilutions (ID50 values) were determined using 4-parameter nonlinear regression in AntibodyDatabase (54). Statistical significance of titer differences between groups were calculated using Tukey’s multiple comparison test of ID50s converted to log10 scale using Graphpad Prism 8.3.

Statistical Analysis.

Comparisons between groups for ELISAs and neutralization assays were calculated with one-way analysis of variance (ANOVA) using Tukey’s post hoc test in Prism 9.0 (Graphpad). For correlation analysis between ELISA and neutralization titers, significance (p), Spearman coefficients (rs), and linear plots were calculated using Prism 9.0 (Graphpad). Differences were considered significant when p values were less than 0.05. Exact p values are in relevant figure near each corresponding line, with asterisks denoting level of significance (* denotes 0.01<p<0.05, ** denotes 0.001<p<0.01, *** denotes 0.0001<p<0.001, and **** denotes p<0.0001).

Flow cytometry.

B-cell analysis using flow cytometry was carried out as described (51). Briefly, single-cell suspensions were prepared from mouse spleens using mechanical dissociation, and red blood cells were removed using ACK lysing buffer (Gibco). The white blood cell preparation was enriched for IgG+ B-cells using the negative selection protocol in a mouse memory B-cell isolation kit (Miltenyi). The following commercial reagents were used to stain enriched splenocytes: CD4-APC-eFluor 780 (clone: RM4–5), F4/80-APC-eFluor 780 (clone: BM8), CD8a-APC-eFluor 780 (clone: 53–6.7), Ly-6G-APC-eFluor 780 (clone: RB6–8C5), IgM-APC-eFluor 780 (clone: II/41) (Thermo Fisher Scientific), CD19-FITC (clone: 6D5) (Biolegend), IgG1 BV421 (clone: X40) and IgG2 BV421 (clone: R19–15) (BD Bioscience). SARS-2 RBD-APC and Rs4081 RBD-PE for used to identify antigen-specific B-cells. Cell viability was analyzed with Fixable Viability Stain 700 (BD Bioscience). Stained cells were analyzed with a SY3200 Cell Sorter (Sony) configured to detect 6 fluorochromes. 2,000,000 events were collected per sample and analyzed via FlowJo software (TreeStar).

Supplementary Material

1

Acknowledgements

We thank Karl Brune (Genie Biotech) for advice about mi3 production, Jesse Bloom (Fred Hutchinson) and Paul Bieniasz (Rockefeller University) for neutralization assay reagents, Jost Vielmetter and Caltech’s Beckman Institute Protein Expression Center for protein production, Andrew Flyak for help with flow cytometry, Marta Murphy for figures, COVID-19 plasma donors and Drs. Barry Coller and Sarah Schlesinger and the Rockefeller University Hospital Clinical Research Support Office and nursing staff, and Andrew Flyak and Andrew DeLaitsch for critical reading of the manuscript. This work was supported by NIH grant P01-AI138938-S1 (P.J.B. and M.C.N.), the Caltech Merkin Institute for Translational Research (P.J.B.), a George Mason University Fast Grant (P.J.B.), and the Medical Research Council (MR/P001351/1) (M.H.) (this UK-funded award is part of the EDCTP2 programme supported by the European Union). M.C.N. is a Howard Hughes Medical Institute Investigator.

Footnotes

Conflict of interest

M.H. is an inventor on a patent on SpyTag/SpyCatcher (EP2534484) and a patent application on SpyTag003:SpyCatcher003 (UK Intellectual Property Office 1706430.4), as well as a SpyBiotech cofounder, shareholder and consultant.

Literature cited

  • 1.Zhou P. et al. , A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579, 270–273 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wu F. et al. , A new coronavirus associated with human respiratory disease in China. Nature 579, 265–269 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.de Wit E., van Doremalen N., Falzarano D., Munster V. J., SARS and MERS: recent insights into emerging coronaviruses. Nat Rev Microbiol 14, 523–534 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Li W. et al. , Bats are natural reservoirs of SARS-like coronaviruses. Science 310, 676–679 (2005). [DOI] [PubMed] [Google Scholar]
  • 5.Wang N. et al. , Serological Evidence of Bat SARS-Related Coronavirus Infection in Humans, China. Virologica Sinica 33, 104–107 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Menachery V. D. et al. , A SARS-like cluster of circulating bat coronaviruses shows potential for human emergence. Nature Medicine 21, 1508–1513 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Menachery V. D. et al. , SARS-like WIV1-CoV poised for human emergence. Proceedings of the National Academy of Sciences 113, 3048–3053 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Li W. et al. , Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus. Nature 426, 450–454 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Hoffmann M. et al. , SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell 181, 271–280 e278 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Raj V. S. et al. , Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC. Nature 495, 251–254 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Vlasak R., Luytjes W., Spaan W., Palese P., Human and bovine coronaviruses recognize sialic acid-containing receptors similar to those of influenza C viruses. Proceedings of the National Academy of Sciences 85, 4526–4529 (1988). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Huang X. et al. , Human Coronavirus HKU1 Spike Protein UsesO-Acetylated Sialic Acid as an Attachment Receptor Determinant and Employs Hemagglutinin-Esterase Protein as a Receptor-Destroying Enzyme. Journal of Virology 89, 7202–7213 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Fung T. S., Liu D. X., Human Coronavirus: Host-Pathogen Interaction. Annu Rev Microbiol 73, 529–557 (2019). [DOI] [PubMed] [Google Scholar]
  • 14.Brouwer P. J. M. et al. , Potent neutralizing antibodies from COVID-19 patients define multiple targets of vulnerability. Science 369, 643–650 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Cao Y. et al. , Potent neutralizing antibodies against SARS-CoV-2 identified by high-throughput single-cell sequencing of convalescent patients’ B cells. Cell, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kreer C. et al. , Longitudinal Isolation of Potent Near-Germline SARS-CoV-2-Neutralizing Antibodies from COVID-19 Patients. Cell, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Liu L. et al. , Potent neutralizing antibodies against multiple epitopes on SARS-CoV-2 spike. Nature, (2020). [DOI] [PubMed] [Google Scholar]
  • 18.Robbiani D. F. et al. , Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature 584, 437–442 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shi R. et al. , A human neutralizing antibody targets the receptor-binding site of SARS-CoV-2. Nature 584, 120–124 (2020). [DOI] [PubMed] [Google Scholar]
  • 20.Zost S. J. et al. , Rapid isolation and profiling of a diverse panel of human monoclonal antibodies targeting the SARS-CoV-2 spike protein. Nat Med, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Rogers T. F. et al. , Rapid isolation of potent SARS-CoV-2 neutralizing antibodies and protection in a small animal model. Science, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Seydoux E. et al. , Analysis of a SARS-CoV-2-Infected Individual Reveals Development of Potent Neutralizing Antibodies with Limited Somatic Mutation. Immunity 53, 98–105 e105 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Zost S. J. et al. , Potently neutralizing and protective human antibodies against SARS-CoV-2. Nature 584, 443–449 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Barnes C. O. et al. , SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies. Nature, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Pinto D. et al. , Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody. Nature 583, 290–295 (2020). [DOI] [PubMed] [Google Scholar]
  • 26.Piccoli L. et al. , Mapping neutralizing and immunodominant sites on the SARS-CoV-2 spike receptor-binding domain by structure-guided high-resolution serology. Cell, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.López-Sagaseta J., Malito E., Rappuoli R., Bottomley M. J., Self-assembling protein nanoparticles in the design of vaccines. Computational and Structural Biotechnology Journal 14, 58–68 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Slifka M. K., Amanna I. J., Role of Multivalency and Antigenic Threshold in Generating Protective Antibody Responses. Frontiers in Immunology 10, (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Brune K. D., Howarth M., New Routes and Opportunities for Modular Construction of Particulate Vaccines: Stick, Click, and Glue. Front Immunol 9, 1432 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Brune K. D. et al. , Plug-and-Display: decoration of Virus-Like Particles via isopeptide bonds for modular immunization. Scientific reports 6, 19234 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Bruun T. U. J., Andersson A. C., Draper S. J., Howarth M., Engineering a Rugged Nanoscaffold To Enhance Plug-and-Display Vaccination. ACS Nano 12, 8855–8866 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Zakeri B. et al. , Peptide tag forming a rapid covalent bond to a protein, through engineering a bacterial adhesin. Proc Natl Acad Sci U S A 109, E690–697 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Tan T. K. et al. , A COVID-19 vaccine candidate 1 using SpyCatcher multimerization of the SARS-CoV-2 spike protein receptor-binding domain induces potent neutralising antibody responses. bioRxiv, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Zhang B. et al. , A platform incorporating trimeric antigens into self-assembling nanoparticles reveals SARS-CoV-2-spike nanoparticles to elicit substantially higher neutralizing responses than spike alone. Scientific reports 10, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Drosten C. et al. , Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus. PLOS Pathogens 13, e1006698 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Rahikainen R. et al. , Overcoming Symmetry Mismatch in Vaccine Nanoassembly through Spontaneous Amidation. Angewandte Chemie International Edition, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kanekiyo M. et al. , Mosaic nanoparticle display of diverse influenza virus hemagglutinins elicits broad B cell responses. Nat Immunol 20, 362–372 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Letko M., Marzi A., Munster V., Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses. Nature Microbiology 5, 562–569 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Lam T. T.-Y. et al. , Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins. Nature 583, 282–285 (2020). [DOI] [PubMed] [Google Scholar]
  • 40.Andersen K. G., Rambaut A., Lipkin W. I., Holmes E. C., Garry R. F., The proximal origin of SARS-CoV-2. Nature Medicine 26, 450–452 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Zhou H. et al. , A Novel Bat Coronavirus Closely Related to SARS-CoV-2 Contains Natural Insertions at the S1/S2 Cleavage Site of the Spike Protein. Current Biology 30, 2196–2203.e2193 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tao Y., Tong S., Stedman K. M., Complete Genome Sequence of a Severe Acute Respiratory Syndrome-Related Coronavirus from Kenyan Bats. Microbiology Resource Announcements 8, (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Keeble A. H. et al. , Approaching infinite affinity through engineering of peptide–protein interaction. Proceedings of the National Academy of Sciences 116, 26523–26533 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Barnes C. O. et al. , Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies. Cell 182, 828–842 e816 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Walls A. C. et al. , Elicitation of potent neutralizing antibody responses by designed protein nanoparticle vaccines for SARS-CoV-2. Cell, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Landau M. et al. , ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures. Nucleic Acids Res 33, W299–302 (2005). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Gristick H. B. et al. , Natively glycosylated HIV-1 Env structure reveals new mode for antibody recognition of the CD4-binding site. Nat Struct Mol Biol 23, 906–915 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Sievers F. et al. , Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol 7, 539 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Guindon S. et al. , New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol 59, 307–321 (2010). [DOI] [PubMed] [Google Scholar]
  • 50.Hsieh C.-L. et al. , Structure-based design of prefusion-stabilized SARS-CoV-2 spikes. Science 369, 1501–1505 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Cohen A. A. et al. , Construction, characterization, and immunization of nanoparticles that display a diverse array of influenza HA trimers. bioRxiv, (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Angeletti D. et al. , Defining B cell immunodominance to viruses. Nature Immunology 18, 456–463 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Crawford K. H. D. et al. , Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays. Viruses 12, 513 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.West A. P. Jr. et al. , Computational analysis of anti-HIV-1 antibody neutralization panel data to identify potential functional epitope residues. Proc Natl Acad Sci U S A 110, 10598–10603 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]

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