During the coronavirus disease-2019 (COVID-19) pandemic, severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) has led to the infection of millions of people and has claimed hundreds of thousands of lives. The entry of the virus into cells depends on the receptor-binding domain (RBD) of the spike (S) protein of SARS-CoV-2. Although there is currently no vaccine, it is likely that antibodies will be essential for protection. However, little is known about the human antibody response to SARS-CoV-21,2,3,4,5. Here we report on 149 COVID-19-convalescent individuals. Plasma samples collected an average of 39 days after the onset of symptoms had variable half-maximal pseudovirus neutralizing titres; titres were less than 50 in 33% of samples, below 1,000 in 79% of samples and only 1% of samples had titres above 5,000. Antibody sequencing revealed the expansion of clones of RBD-specific memory B cells that expressed closely related antibodies in different individuals. Despite low plasma titres, antibodies to three distinct epitopes on the RBD neutralized the virus with half-maximal inhibitory concentrations (IC50 values) as low as 2 ng ml−1. In conclusion, most convalescent plasma samples obtained from individuals who recover from COVID-19 do not contain high levels of neutralizing activity. Nevertheless, rare but recurring RBD-specific antibodies with potent antiviral activity were found in all individuals tested, suggesting that a vaccine designed to elicit such antibodies could be broadly effective.
Between 1 April and 8 May 2020, 157 eligible participants were enrolled in the study. Of these, 111 (70.7%) were individuals who had a SARS-CoV-2 infection, as confirmed by PCR with reverse transcription (RT–PCR) (cases), and 46 (29.3%) were close contacts of individuals diagnosed with SARS-CoV-2 infection (contacts). Although inclusion criteria allowed for enrolment of asymptomatic participants, eight contacts who did not develop symptoms were excluded from further analyses. The 149 cases and contacts were free of symptoms that are suggestive of COVID-19 for at least 14 days at the time of sample collection. Participant demographics and clinical characteristics are shown in Extended Data Fig. 1a and Supplementary Tables 1, 2. Only one individual who tested positive for SARS-CoV-2 infection by RT–PCR remained asymptomatic. The other 148 participants reported symptoms that were suggestive of COVID-19 with a mean time of onset of symptoms of approximately 39 days (range, 17–67 days) before sample collection. In this cohort, symptoms lasted for an average of 12 days (0–35 days), and 11 (7%) of the participants were hospitalized. The most common symptoms were fever (83.9%), fatigue (71.1%), cough (62.4%) and myalgia (61.7%), whereas baseline comorbidities were infrequent (10.7%) (Supplementary Tables 1, 2). There were no significant differences in duration or severity (Methods) of symptoms, or in the time from onset of symptoms to sample collection between genders or between cases and contacts. There was no age difference between women and men in our cohort (Extended Data Fig. 1).
Plasma samples were tested for binding to the SARS-CoV-2 RBD and trimeric S proteins by a validated enzyme-linked immunosorbent assay (ELISA) using anti-IgG or anti-IgM secondary antibodies for detection6,7 (Fig. 1, Extended Data Figs. 2, 3 and Supplementary Table 1). Eight independent negative controls and a positive control plasma sample from participant 21 (COV21) were included for normalization of the area under the curve (AUC) in all experiments. Overall, 78% and 70% of the tested plasma samples showed anti-RBD and anti-S IgG AUCs that were at least two standard deviations above the control (Fig. 1a, b). By contrast, only 15% and 34% of the plasma samples showed IgM responses to anti-RBD and anti-S, respectively, that were at least two standard deviations above control (Fig. 1c, d). There was no positive correlation between anti-RBD or anti-S IgG or IgM levels and the duration of symptoms or the timing of sample collection relative to the onset of symptoms (Fig. 1e and Extended Data Fig. 3a–c, g–j). By contrast, as might be expected, anti-RBD IgM titres were negatively correlated with the duration of symptoms and the timing of sample collection (Fig. 1e and Extended Data Fig. 3h). Anti-RBD IgG levels were moderately correlated with age and the severity of symptoms including hospitalization (Fig. 1f, g and Extended Data Fig. 3k). Notably, women had lower anti-RBD and anti-S IgG titres than men (Fig. 1h and Extended Data Fig. 2f).
To measure the neutralizing activity in convalescent plasma samples, we used HIV-1-based virions that carried a nanoluc luciferase reporter, which were pseudotyped with the SARS-CoV-2 S protein (SARS-CoV-2 pseudovirus; Fig. 2, Methods and Extended Data Fig. 4). Negative (historical samples) and positive (COV21) controls were included in all experiments. The overall level of neutralizing activity in the cohort, as measured by the half-maximal neutralizing titre (NT50), was generally low; NT50 values were less than 50 in 33% of samples and below 1,000 in 79% of samples (Fig. 2a, b). The geometric mean NT50 was 121 (arithmetic mean = 714), and only 2 individuals reached NT50 values above 5,000 (Fig. 2a, b and Supplementary Table 1).
Notably, levels of anti-RBD and anti-S IgG antibodies correlated strongly with NT50 values (Fig. 2c, d). Neutralizing activity also correlated with age, the duration of symptoms and the severity of symptoms (Extended Data Fig. 5). Consistent with this observation, hospitalized individuals with a longer duration of symptoms showed slightly higher average levels of neutralizing activity than individuals who were not hospitalized (P = 0.0495) (Fig. 2e). Finally, we observed a significant difference in neutralizing activity between men and women (P = 0.0031) (Fig. 2f). The difference between men and women was consistent with higher anti-RBD and anti-S IgG titres in men, and could not be attributed to age, severity of symptoms, timing of sample collection relative to the onset or duration of symptoms (Fig. 1h and Extended Data Figs. 1b–e, 2f).
To determine the nature of the antibodies elicited by SARS-CoV-2 infection, we used flow cytometry to isolate individual B lymphocytes that carried receptors that bound to the RBD from the blood of six selected individuals, including the two samples with top neutralizing activity and four samples with high-to-intermediate neutralizing activity (Fig. 3). The frequency of antigen-specific B cells, identified by their ability to bind to both phycoerythrin (PE)- and AlexaFluor-647-labelled RBD, ranged from 0.07 to 0.005% of all circulating B cells in COVID-19-convalescent individuals, whereas they were undetectable in pre-COVID-19 control samples (Fig. 3a and Extended Data Fig. 6). We obtained 534 paired IgG heavy and light chain (IGH and IGL) sequences by RT–PCR from individual RBD-binding B cells from the 6 convalescent individuals (Methods and Supplementary Table 3). When compared to the human antibody repertoire, several IGHV and IGLV genes were significantly overrepresented (Extended Data Fig. 7). The average number of nucleotide mutations in V genes for IGH and IGL was 4.2 and 2.8, respectively (Extended Data Fig. 8), which is lower than in antibodies cloned from individuals with chronic infections such as hepatitis B or HIV-1, and similar to antibodies derived from individuals with a primary malaria infection or from non-antigen-enriched circulating IgG memory cells8,9,10,11. Among other antibody features, IGH CDR3 length was indistinguishable from the reported norm and hydrophobicity was below average12 (Extended Data Fig. 8).
As is the case with other human pathogens, there were expanded clones of viral antigen-binding B cells in all tested individuals convalescent after COVID-19 (Fig. 3b, c and Methods). Overall, 32.2% of the recovered IGH and IGL sequences were from clonally expanded B cells (range, 21.8–57.4% across individuals) (Fig. 3b). Antibodies that shared specific combinations of IGHV and IGLV genes in different individuals comprised 14% of all the clonal sequences (Fig. 3b, c). Notably, the amino acid sequences of some antibodies found in different individuals were nearly identical (Fig. 3d). For example, antibodies expressed by clonally expanded B cells with IGHV1-58/IGKV3-20 and IGHV3-30-3/IGKV1-39 were found repeatedly in different individuals and had amino acid sequence identities of up to 99% and 92%, respectively (Fig. 3d and Supplementary Table 4). We conclude that the IgG memory response to the SARS-CoV-2 RBD is rich in recurrent and clonally expanded antibody sequences.
To examine the binding properties of anti-SARS-CoV-2 antibodies, we expressed 94 representative antibodies, 67 from clones and 27 from singlets (Supplementary Table 5). ELISAs showed that 95% (89 out of 94) of the antibodies tested including clonal and unique sequences bound to the SARS-CoV-2 RBD with an average half-maximal effective concentration (EC50) of 6.9 ng ml−1 (Fig. 4a and Extended Data Fig. 9a). A fraction of these (7 out of 77 that were tested, or 9%) cross-reacted with the RBD of SARS-CoV with EC50 values below 1 μg ml−1 (Extended Data Fig. 9b, c). No significant cross-reactivity was noted to the RBDs of MERS, HCoV-OC43, HCoV-229E or HCoV-NL63.
To determine whether the monoclonal antibodies had neutralizing activity, we tested them against the SARS-CoV-2 pseudovirus (Fig. 4 and Supplementary Table 6). Among 89 RBD-binding antibodies tested, we found 52 that neutralized SARS-CoV-2 pseudovirus with IC50 values ranging from 3 to 709 ng ml−1 (Fig. 4b, c, e and Supplementary Table 6). A subset of the most potent of these antibodies was also tested against authentic SARS-CoV-2 and these antibodies neutralized the virus with IC50 values of less than 5 ng ml−1 (Fig. 4d, e). Only two of the antibodies that cross-reacted with the RBD of SARS-CoV showed significant neutralizing activity against SARS-CoV pseudovirus (Extended Data Fig. 9d, e).
Potent neutralizing antibodies were found in individuals irrespective of their plasma NT50 values. For example, antibodies C121, C144 and C135, which had IC50 values of 1.64, 2.55 and 2.98 ng ml−1 against authentic SARS-CoV-2, respectively, were obtained from individuals COV107, COV47 and COV72, for whom the plasma NT50 values were 297, 10,433 and 3,138, respectively (Figs. 2b, 4). Finally, antibodies with recurrent combinations of IGHV and IGLV genes were among the strongest neutralizing antibodies—for example, antibody C002 is composed of IGHV3-30/IGKV1-39 and shared by the two donors with the strongest plasma neutralizing activity (Figs. 3b, 4). We conclude that even individuals with modest plasma neutralizing activity have rare IgG memory B cells that produce potent SARS-CoV-2-neutralizing antibodies.
To determine whether human anti-SARS-CoV-2 monoclonal antibodies with neutralizing activity can bind to distinct domains on the RBD, we performed bilayer interferometry experiments in which a preformed antibody–RBD immune complex was exposed to a second monoclonal antibody. The antibodies tested comprised three groups, all of which differed in their binding properties from CR3022, an antibody that neutralizes SARS-CoV and binds to—but does not neutralize—SARS-CoV-213,14. The antibodies of each of the three groups included: C144 and C101 in group 1; C121 and C009 in group 2; C135 in group 3. All of these antibodies could bind to SARS-CoV-2 RBD that was previously immunocomplexed with CR3022. Groups 1 and 2 also bind to the RBD immunocomplexed with group 3 antibody. Groups 1 and 2 differ in that group 1 can bind to the RBD immunocomplexed with group 2 but not vice versa (Fig. 4f–n). We conclude that similar to SARS-CoV, there are multiple distinct neutralizing epitopes on the RBD of SARS-CoV-2.
To further define the binding characteristics of group-1 and group-2 antibodies, we imaged SARS-CoV-2 S–Fab complexes using negative-stain electron microscopy using C002 (group 1, an IGHV3–30/IGKV1–39 antibody, which is clonally expanded in two donors), C119 and C121 (both in group 2) Fabs (Fig. 4f–r and Extended Data Fig. 10). Consistent with the conformational flexibility of the RBD, two-dimensional class averages showed heterogeneity in both occupancy and orientations of bound Fabs for both groups (Fig. 4o–q). The low resolution of negative-stain electron-microscopy reconstructions precludes detailed binding interpretations; however, the results are consistent with Fabs from both groups being able to recognize ‘up’ and ‘down’ states of the RBD, as previously described for some antibodies targeting this epitope15,16. The three-dimensional reconstructions are also consistent with competition measurements that indicate that group-1 and group-2 antibodies bind to a RBD epitope that is distinct from the epitope bound by antibody CR3022 (Fig. 4f–n) and with a single-particle cryo-electron microscopy structure of a C105–S complex17. In addition, the structures suggest that the antibodies bind to the RBD with different angles of approach; group-1 antibodies have an approach angle that is more similar to the approach angle of the SARS-CoV antibody S23018 (Fig. 4r).
Human monoclonal antibodies with neutralizing activity against pathogens ranging from viruses to parasites have been obtained from naturally infected individuals by single-cell antibody cloning. Several antibodies have been shown to be effective for the protection and treatment of model organisms and in early-phase clinical studies, but only one antiviral monoclonal antibody is currently in clinical use19. Antibodies are relatively expensive and more difficult to produce than small-molecule drugs. However, they differ from drugs in that they can engage the host immune system through their constant domains that bind to Fc gamma receptors on host immune cells20. These interactions can enhance immunity and help to clear the pathogen or infected cells; however, they can also lead to disease enhancement during infections with dengue virus21 and possibly coronavirus22. This problem has impeded the development of dengue virus vaccines, but would not interfere with the clinical use of potent neutralizing antibodies that can be modified to prevent interactions with the Fc gamma receptor and that remain protective against viral pathogens23.
Antibodies are essential elements of most vaccines and will probably be a crucial component of an effective vaccine against SARS-CoV-224,25,26. Recurrent antibodies have been observed in other infectious diseases and vaccine responses11,27,28,29,30. The observation that plasma neutralizing activity is low in most convalescent individuals, but that recurrent anti-SARS-CoV-2 RBD antibodies with potent neutralizing activity can be found in individuals with moderate plasma neutralizing activity suggests that humans are intrinsically capable of generating anti-RBD antibodies that potently neutralize SARS-CoV-2. Thus, vaccines that selectively and efficiently induce antibodies that target the RBD of SARS-CoV-2 may be especially effective.
No statistical methods were used to predetermine sample size. The experiments were not randomized and the investigators were not blinded to allocation during experiments and outcome assessment.
Study participants were recruited at the Rockefeller University Hospital in New York from 1 April to 8 May 2020. Eligible participants were adults aged 18–76 years who were either diagnosed with a SARS-CoV-2 infection by RT–PCR and were free of symptoms of COVID-19 for at least 14 days (cases), or who were close contacts (for example, household members, co-workers or members of same religious community) of someone who had been diagnosed with a SARS-CoV-2 infection by RT–PCR and were free of symptoms suggestive of COVID-19 for at least 14 days (contacts). Exclusion criteria included the presence of symptoms suggestive of an active SARS-CoV-2 infection, or haemoglobin levels of <12 g/dl for men and <11 g/dl for women.
Most study participants were residents of the Greater New York City tristate region and were enrolled sequentially according to eligibility criteria. Participants were first interviewed by phone to collect information on their clinical presentation, and subsequently presented to the Rockefeller University Hospital for the collection of a single blood sample. Participants were asked to rate the highest severity of their symptoms on a numeric rating scale ranging from 0 to 10. The score was adapted from the pain scale chart, in which 0 was the lack of symptoms, 4 was distressing symptoms (for example, fatigue, myalgia, fever, cough or shortness of breath) that interfered with daily living activities, 7 was disabling symptoms that prevented the performance of daily living activities, and 10 was unimaginable/unspeakable discomfort (in this case, distress owing to shortness of breath). All participants provided written informed consent before participation in the study and the study was conducted in accordance with Good Clinical Practice and clinical data collection and management were carried out using the software iRIS by iMedRIS. The study was performed in compliance with all relevant ethical regulations and the protocol for studies with human participants was approved by the Institutional Review Board of the Rockefeller University.
Blood samples processing and storage
Peripheral blood mononuclear cells were obtained by gradient centrifugation and stored in liquid nitrogen in the presence of fetal calf serum (FCS) and DMSO. Heparinized plasma and serum samples were aliquoted and stored at −20 °C or less. Before experiments, aliquots of plasma samples were heat-inactivated (56 °C for 1 h) and then stored at 4 °C.
Cloning, expression and purification of recombinant coronavirus proteins
Codon-optimized nucleotide sequences encoding the SARS-CoV-2 S ectodomain (residues 16–1206) and RBD (residues 331–524) were synthesized and subcloned into the mammalian expression pTwist-CMV BetaGlobin vector by Twist Bioscience Technologies based on an early SARS-CoV-2 sequence isolate (GenBank MN985325.1). The SARS-CoV-2 RBD construct included an N-terminal human IL-2 signal peptide and dual C-terminal tags ((GGGGS)2-HHHHHHHH (octa-histidine) and GLNDIFEAQKIEWHE (AviTag)). In addition, the corresponding S1B or RBDs for SARS-CoV (residues 318–510; GenBank AAP13441.1), MERS-CoV (residues 367–588; GenBank JX869059.2), HCoV-NL63 (residues 481–614; GenBank AAS58177.1), HCoV-OC43 (residues 324–632; GenBank AAT84362.1) and HCoV-229E (residues 286–434; GenBank AAK32191.1) were synthesized with the same N- and C-terminal extensions as the SARS-CoV-2 RBD construct and subcloned into the mammalian expression pTwist-CMV BetaGlobin vector (Twist Bioscience Technologies). The SARS-CoV-2 S ectodomain was modified as previously described4. In brief, the S ectodomain construct included an N-terminal mu-phosphatase signal peptide, 2P stabilizing mutations (K986P and V987P), mutations to remove the S1/S2 furin cleavage site (682RRAR685 to GSAS), a C-terminal extension (IKGSG-RENLYFQG (TEV protease site), GGGSG-YIPEAPRDGQAYVRKDGEWVLLSTFL (foldon trimerization motif), G-HHHHHHHH (octa-histidine tag) and GLNDIFEAQKIEWHE (AviTag)). The SARS-CoV-2 S 2P ectodomain and RBD constructs were produced by transient transfection of 500 ml of Expi293F cells (Thermo Fisher) and purified from clarified transfected cell supernatants 4 days after transfection using Ni2+-NTA affinity chromatography (GE Life Sciences). Affinity-purified proteins were concentrated and further purified by size-exclusion chromatography using a Superdex200 16/60 column (GE Life Sciences) running in 1× TBS (20 mM Tris-HCl pH 8.0, 150 mM NaCl and 0.02% NaN3). Peak fractions were analysed by SDS–PAGE, and fractions corresponding to soluble S 2P trimers or monomeric RBD proteins were pooled and stored at 4 °C.
Validated ELISAs6,7 to evaluate antibodies binding to SARS-CoV-2 RBD and trimeric spike proteins, and to SARS-CoV RBD, were performed by coating of high-binding 96-half-well plates (Corning 3690) with 50 μl per well of a 1μg/ml protein solution in PBS overnight at 4 °C. Plates were washed 6 times with washing buffer (1× PBS with 0.05% Tween-20 (Sigma-Aldrich)) and incubated with 170 μl per well blocking buffer (1× PBS with 2% BSA and 0.05% Tween-20 (Sigma)) for 1 h at room temperature. Immediately after blocking, monoclonal antibodies or plasma samples were added in PBS and incubated for 1 h at room temperature. Plasma samples were assayed at a 1:200 starting dilution and 7 additional threefold serial dilutions. Monoclonal antibodies were tested at 10 μg/ml starting concentration and 10 additional fourfold serial dilutions. Plates were washed 6 times with washing buffer and then incubated with anti-human IgG or IgM secondary antibody conjugated to horseradish peroxidase (HRP) (Jackson Immuno Research 109-036-088 and 109-035-129) in blocking buffer at a 1:5,000 dilution. Plates were developed by addition of the HRP substrate, TMB (ThermoFisher) for 10 min, then the developing reaction was stopped by adding 50 μl 1 M H2SO4 and absorbance was measured at 450 nm with an ELISA microplate reader (FluoStar Omega, BMG Labtech) with Omega and Omega MARS software for analysis. For plasma samples, a positive control (plasma from patient COV21, diluted 200-fold in PBS) and negative control (historical plasma samples) samples were added in duplicate to every assay plate for validation. The average of its signal was used for normalization of all of the other values on the same plate with Excel software before calculating the area under the curve using Prism 8 (GraphPad). For monoclonal antibodies, the EC50 was determined using four-parameter nonlinear regression (GraphPad Prism).
For constitutive expression of ACE2 in 293T cells, a cDNA encoding ACE2, carrying two inactivating mutations in the catalytic site (H374N and H378N), was inserted into CSIB 3′ to the SFFV promoter31. 293TACE2 cells were generated by transduction with CSIB-based virus followed by selection with 5 μg/ml blasticidin.
SARS-CoV-2 and SARS-CoV pseudotyped reporter viruses
A plasmid expressing a C-terminally truncated SARS-CoV-2 S protein (pSARS-CoV2-Strunc) was generated by insertion of a human codon-optimized cDNA encoding SARS-CoV-2 S lacking the C-terminal 19 codons (Geneart) into pCR3.1. The S open-reading frame was taken from ‘Wuhan seafood market pneumonia virus isolate Wuhan-Hu-1’ (GenBank: NC_045512). For expression of the full-length SARS-CoV S protein, ‘human SARS coronavirus spike glycoprotein gene ORF cDNA clone expression plasmid (codon optimized)’ (here referred to as pSARS-CoV-S) was obtained from SinoBiological (VG40150-G-N). An env-inactivated HIV-1 reporter construct (pNL4-3ΔEnv-nanoluc) was generated from pNL4-332 by introducing a 940-bp deletion 3′ in the vpu stop codon, resulting in a frameshift in env. The human codon-optimized nanoluc Luciferase reporter gene (Nluc, Promega) was inserted in place of nucleotides 1–100 of the nef gene. To generate pseudotyped viral stocks, 293T cells were transfected with pNL4-3ΔEnv-nanoluc and pSARS-CoV2-Strunc or pSARS-CoV-S using polyethylenimine. Co-transfection of pNL4-3ΔEnv-nanoluc and S-expression plasmids leads to production of HIV-1-based virions that carried either the SARS-CoV-2 or SARS-CoV S protein on the surface. After transfection for 8 h, cells were washed twice with PBS and fresh medium was added. Supernatants containing virions were collected 48 h after transfection, filtered and stored at −80 °C. Infectivity of virions was determined by titration on 293TACE2 cells. Further details are described elsewhere33.
Pseudotyped virus neutralization assay
Fivefold serially diluted plasma from COVID-19-convalescent individuals and healthy donors or fourfold serially diluted monoclonal antibodies were incubated with the SARS-CoV-2 or SARS-CoV pseudotyped virus for 1 h at 37 °C. The mixture was subsequently incubated with 293TACE2 cells for 48 h after which cells were washed twice with PBS and lysed with Luciferase Cell Culture Lysis 5× reagent (Promega). Nanoluc Luciferase activity in lysates was measured using the Nano-Glo Luciferase Assay System (Promega) with Modulus II Microplate Reader User interface (TURNER BioSystems). The obtained relative luminescence units were normalized to those derived from cells infected with SARS-CoV-2 or SARS-CoV pseudotyped virus in the absence of plasma or monoclonal antibodies. The half-maximal inhibitory concentration for plasma (NT50) or monoclonal antibodies (IC50) was determined using four-parameter nonlinear regression (GraphPad Prism).
Cell lines, virus and virus titration
VeroE6 kidney epithelial cells (Chlorocebus sabaeus; ATCC) and Huh-7.5 hepatoma cells (Homo sapiens; C.M.R.) were cultured in Dulbecco’s modified Eagle medium (DMEM) supplemented with 1% nonessential amino acids and 10% FCS at 37 °C and 5% CO2. All cell lines have been tested negative for contamination with mycoplasma and were obtained from the ATCC (with the exception for Huh-7.5). SARS-CoV-2, strain USA-WA1/2020, was obtained from BEI Resources and amplified in VeroE6 cells at 33 °C. Viral titres were measured on Huh-7.5 cells by standard plaque assay. In brief, 500 μl of serial tenfold virus dilutions in Opti-MEM were used to infect 400,000 cells seeded the previous day in a 6-well plate format. After 90 min adsorption, the virus inoculum was removed, and cells were overlayed with DMEM containing 10% FCS with 1.2% microcrystalline cellulose (Avicel). Cells were incubated for 5 days at 33 °C, followed by fixation with 3.5% formaldehyde and crystal violet staining for plaque enumeration. All experiments were performed in a biosafety level 3 laboratory.
Microscopy-based neutralization assay of authentic SARS-CoV-2
The day before infection, VeroE6 cells were seeded at 12,500 cells/well into 96-well plates. Antibodies were serially diluted in BA-1, mixed with a constant amount of SARS-CoV-2 (grown in VeroE6) and incubated for 60 min at 37 °C. The antibody–virus mix was then directly applied to VeroE6 cells (MOI of ~0.1 PFU/cell). Cells were fixed 18 h after infection by adding an equal volume of 7% formaldehyde to the wells, followed by permeabilization with 0.1% Triton X-100 for 10 min. After extensive washing, cells were incubated for 1 h at room temperature with blocking solution of 5% goat serum in PBS (005–000-121; Jackson ImmunoResearch). A rabbit polyclonal anti-SARS-CoV-2 nucleocapsid antibody (GTX135357; GeneTex) was added to the cells at 1:500 dilution in blocking solution and incubated at 4 °C overnight. A goat anti-rabbit AlexaFluor 594 (A-11012; Life Technologies) at a dilution of 1:2,000 was used as a secondary antibody. Nuclei were stained with Hoechst 33342 (62249; Thermo Scientific) at a 1:1,000 dilution. Images were acquired with a fluorescence microscope and analysed using ImageXpress Micro XLS and MetaXpress software (Molecular Devices). All statistical analyses were done using Prism 8 software (GraphPad).
Biotinylation of viral protein for use in flow cytometry
Purified and Avi-tagged SARS-CoV-2 RBD was biotinylated using the Biotin-Protein Ligase-BIRA kit according to manufacturer’s instructions (Avidity). Ovalbumin (Sigma, A5503-1G) was biotinylated using the EZ-Link Sulfo-NHS-LC-Biotinylation kit according to the manufacturer’s instructions (Thermo Scientific). Biotinylated ovalbumin was conjugated to streptavidin-BV711 (BD biosciences, 563262) and RBD to streptavidin-PE (BD Biosciences, 554061) and streptavidin-AF647 (Biolegend, 405237)34.
Single-cell sorting by flow cytometry
Peripheral blood mononuclear cells were enriched for B cells by negative selection using a pan-B-cell isolation kit according to the manufacturer’s instructions (Miltenyi Biotec, 130-101-638). The enriched B cells were incubated in FACS buffer (1× PBS, 2% FCS, 1 mM EDTA) with the following anti-human antibodies (all at 1:200 dilution): anti-CD20-PECy7 (BD Biosciences, 335793), anti-CD3-APC-eFluro 780 (Invitrogen, 47-0037-41), anti-CD8-APC-eFluor 780 (Invitrogen, 47-0086-42), anti-CD16-APC-eFluor 780 (Invitrogen, 47-0168-41), anti-CD14-APC-eFluor 780 (Invitrogen, 47-0149-42), as well as Zombie NIR (BioLegend, 423105) and fluorophore-labelled RBD and ovalbumin (Ova) for 30 min on ice34. Single CD3−CD8−CD14−CD16−CD20+Ova−RBD-PE+RBD-AF647+ B cells were sorted into individual wells of 96-well plates containing 4 μl of lysis buffer (0.5× PBS, 10 mM DTT, 3,000 units/ml RNasin Ribonuclease Inhibitors (Promega, N2615) per well using a FACS Aria III and FACSDiva software (Becton Dickinson) for acquisition and FlowJo for analysis. The sorted cells were frozen on dry ice, and then stored at −80 °C or immediately used for subsequent RNA reverse transcription. Although cells were not stained for IgG expression, they are memory B cells based on the fact that they are CD20+ (a marker that is absent in plasmablasts) and they express IgG (as antibodies were amplified from these cells using IgG-specific primers).
Antibody sequencing, cloning and expression
Antibodies were identified and sequenced as described previously28,35,36. In brief, RNA from single cells was reverse-transcribed (SuperScript III Reverse Transcriptase, Invitrogen, 18080-044) and the cDNA stored at −20 °C or used for subsequent amplification of the variable IGH, IGL and IGK genes by nested PCR and Sanger sequencing35. Anti-Zika virus monoclonal antibody Z02128 was used as isotype control. Sequence analysis was performed using MacVector. Amplicons from the first PCR reaction were used as templates for sequence- and ligation-independent cloning into antibody expression vectors. Recombinant monoclonal antibodies and Fabs were produced and purified as previously described37,38.
Biolayer interferometry assays were performed on the Octet Red instrument (ForteBio) at 30 °C with shaking at 1,000 r.p.m. Epitope-binding assays were performed with protein A biosensor (ForteBio 18-5010), following the manufacturer’s protocol ‘classical sandwich assay’. (1) Sensor check: sensors immersed 30 s in buffer alone (buffer ForteBio 18-1105). (2) Capture first antibody: sensors immersed 10 min with Ab1 at 40 μg/ml. (3) Baseline: sensors immersed 30 s in buffer alone. (4) Blocking: sensors immersed 5 min with IgG isotype control at 50 μg/ml. (6) Antigen association: sensors immersed 5 min with RBD at 100 μg/ml. (7) Baseline: sensors immersed 30 s in buffer alone. (8) Association Ab2: sensors immersed 5 min with Ab2 at 40 μg/ml. Curve fitting was performed using the Fortebio Octet Data analysis software (ForteBio).
Computational analyses of antibody sequences
Antibody sequences were trimmed based on quality and annotated using Igblastn v.1.14.039 with IMGT domain delineation system. Annotation was performed systematically using Change-O toolkit v.0.4.540. Heavy and light chains derived from the same cell were paired, and clonotypes were assigned based on their V and J genes using in-house R and Perl scripts (Fig. 3b, c). All scripts and the data used to process antibody sequences are publicly available on GitHub (https://github.com/stratust/igpipeline).
The frequency distributions of human V genes in anti-SARS-CoV-2 antibodies from this study were compared to Sequence Read Archive accession SRP01097041. The V(D)J assignments were done using IMGT/High V-Quest and the frequencies of heavy and light chain V genes were calculated for 14 and 13 individuals, respectively, using sequences with unique CDR3s. The two-tailed t-test with unequal variances was used to determine statistical significance (Extended Data Fig. 7).
Nucleotide somatic hypermutation and CDR3 length were determined using in-house R and Perl scripts. For somatic hypermutations, IGHV and IGLV nucleotide sequences were aligned against their closest germlines using Igblastn and the number of differences were considered nucleotide mutations. The average mutations for V genes was calculated by dividing the sum of all nucleotide mutations across all patients by the number of sequences used for the analysis. To calculate the GRAVY scores of hydrophobicity42 we used Guy H.R. Hydrophobicity scale based on free energy of transfer (kcal/mole)43 implemented by the R package Peptides (the Comprehensive R Archive Network repository; https://journal.r-project.org/archive/2015/RJ-2015-001/RJ-2015-001.pdf). We used 533 heavy chain CDR3 amino acid sequences from this study (sequence COV047_P4_IgG_51-P1369 lacks CDR3 amino acid sequence) and 22,654,256 IGH CDR3 sequences from the public database of memory B cell receptor sequences44. The Shapiro–Wilk test was used to determine whether the GRAVY scores are normally distributed. The GRAVY scores from all 533 IGH CDR3 amino acid sequences from this study were used to perform the test and 5,000 GRAVY scores of the sequences from the public database were randomly selected. The Shapiro–Wilk P values were 6.896 × 10−3 and 2.217 × 10−6 for sequences from this study and the public database, respectively, indicating that the data were not normally distributed. Therefore, we used the Wilcoxon nonparametric test to compare the samples, which indicated a difference in hydrophobicity distribution (P = 5 × 10−6) (Extended Data Fig. 8).
Negative-stain electron-microscopy data collection and processing
Purified Fabs (C002, C119 and C121) were complexed with SARS-CoV-2 S trimer at a twofold molar excess for 1 min and diluted to 40 μg/ml in TBS immediately before adding 3 μl to a freshly glow-discharged ultrathin, 400-mesh carbon-coated copper grid (Ted Pella). Samples were blotted after a 1-min incubation period and stained with 1% uranyl formate for an additional minute before imaging. Micrographs were recorded on a Thermo Fisher Talos Arctica transmission electron microscope operating at 200 keV using a K3 direct electron detector (Gatan) and SerialEM automated image-acquisition software45. Images were acquired at a nominal magnification of 28,000× (1.44 Å/pixel size) and a defocus range of −1.5 to −2.0 μm. Images were processed in cryoSPARC, and reference-free particle picking was completed using a Gaussian blob picker46. Reference-free two-dimensional class averages and ab initio volumes were generated in cryoSPARC, and subsequently three-dimensionally classified to identify classes of S–Fab complexes, that were then homogenously refined. Figures were prepared using UCSF Chimera47. The resolutions of the final single-particle reconstructions were about 17–20 Å calculated using a gold-standard FSC (0.143 cut-off) and about 24–28 Å using a 0.5 cut-off.
Further information on research design is available in the Nature Research Reporting Summary linked to this paper.
Data are provided in Supplementary Tables 1, 3–6. The raw sequencing data associated with Fig. 3 has been deposited at Github (https://github.com/stratust/igpipeline). This study also uses data from ‘A public database of memory and naive B-cell receptor sequences’ (https://doi.org/10.5061/dryad.35ks2), from PDB (6VYB and 6NB6) and from NCBI Sequence Read Archive (SRP010970).
Computer code to process the antibody sequences is available at GitHub (https://github.com/stratust/igpipeline).
Graham, R. L., Donaldson, E. F. & Baric, R. S. A decade after SARS: strategies for controlling emerging coronaviruses. Nat. Rev. Microbiol. 11, 836–848 (2013).
Gralinski, L. E. & Baric, R. S. Molecular pathology of emerging coronavirus infections. J. Pathol. 235, 185–195 (2015).
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 (2020).
Walls, A. C. et al. Structure, function, and antigenicity of the SARS-CoV-2 spike glycoprotein. Cell 181, 281–292 (2020).
Jiang, S., Hillyer, C. & Du, L. Neutralizing antibodies against SARS-CoV-2 and other human coronaviruses. Trends Immunol. 41, 355–359 (2020).
Amanat, F. et al. A serological assay to detect SARS-CoV-2 seroconversion in humans. Nat. Med. https://doi.org/10.1038/s41591-020-0913-5 (2020).
Grifoni, A. et al. Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals. Cell 181, 1489–1501 (2020).
Scheid, J. F. et al. Broad diversity of neutralizing antibodies isolated from memory B cells in HIV-infected individuals. Nature 458, 636–640 (2009).
Tiller, T. et al. Autoreactivity in human IgG+ memory B cells. Immunity 26, 205–213 (2007).
Murugan, R. et al. Clonal selection drives protective memory B cell responses in controlled human malaria infection. Sci. Immunol. 3, eaap8029 (2018).
Wang, Q. et al. A combination of human broadly neutralizing antibodies against hepatitis B virus HBsAg with distinct epitopes suppresses escape mutations. Cell Host Microbe https://doi.org/10.1016/j.chom.2020.05.010 (2020).
Briney, B., Inderbitzin, A., Joyce, C. & Burton, D. R. Commonality despite exceptional diversity in the baseline human antibody repertoire. Nature 566, 393–397 (2019).
ter Meulen, J. et al. Human monoclonal antibody combination against SARS coronavirus: synergy and coverage of escape mutants. PLoS Med. 3, e237 (2006).
Yuan, M. et al. A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV. Science 368, 630–633 (2020).
Walls, A. C. et al. Unexpected receptor functional mimicry elucidates activation of coronavirus fusion. Cell 176, 1026–1039 (2019).
Pinto, D. et al. Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody. Nature 583, 290–295 (2020).
Barnes, C. O. et al. Structures of human antibodies bound to SARS-CoV-2 spike reveal common epitopes and recurrent features of antibodies. Cell https://doi.org/10.1016/j.cell.2020.06.025 (2020).
Zhu, Z. et al. Potent cross-reactive neutralization of SARS coronavirus isolates by human monoclonal antibodies. Proc. Natl Acad. Sci. USA 104, 12123–12128 (2007).
Salazar, G., Zhang, N., Fu, T. M. & An, Z. Antibody therapies for the prevention and treatment of viral infections. NPJ Vaccines 2, 19 (2017).
Bournazos, S. & Ravetch, J. V. Anti-retroviral antibody FcγR-mediated effector functions. Immunol. Rev. 275, 285–295 (2017).
Feinberg, M. B. & Ahmed, R. Advancing dengue vaccine development. Science 358, 865–866 (2017).
Iwasaki, A. & Yang, Y. The potential danger of suboptimal antibody responses in COVID-19. Nat. Rev. Immunol. 20, 339–341 (2020).
Van Rompay, K. K. A. et al. A combination of two human monoclonal antibodies limits fetal damage by Zika virus in macaques. Proc. Natl Acad. Sci. USA 117, 7981–7989 (2020).
Plotkin, S. A. Correlates of protection induced by vaccination. Clin. Vaccine Immunol. 17, 1055–1065 (2010).
Yu, J. et al. DNA vaccine protection against SARS-CoV-2 in rhesus macaques. Science eabc6284 (2020).
Chandrashekar, A. et al. SARS-CoV-2 infection protects against rechallenge in rhesus macaques. Science eabc4776 (2020).
Scheid, J. F. et al. Sequence and structural convergence of broad and potent HIV antibodies that mimic CD4 binding. Science 333, 1633–1637 (2011).
Robbiani, D. F. et al. Recurrent potent human neutralizing antibodies to Zika virus in Brazil and Mexico. Cell 169, 597–609 (2017).
Ehrhardt, S. A. et al. Polyclonal and convergent antibody response to Ebola virus vaccine rVSV-ZEBOV. Nat. Med. 25, 1589–1600 (2019).
Pappas, L. et al. Rapid development of broadly influenza neutralizing antibodies through redundant mutations. Nature 516, 418–422 (2014).
Kane, M. et al. Identification of interferon-stimulated genes with antiretroviral activity. Cell Host Microbe 20, 392–405 (2016).
Adachi, A. et al. Production of acquired immunodeficiency syndrome-associated retrovirus in human and nonhuman cells transfected with an infectious molecular clone. J. Virol. 59, 284–291 (1986).
Schmidt, F. et al. Measuring SARS-CoV-2 neutralizing antibody activity using pseudotyped and chimeric viruses. J. Exp. Med. https://doi.org/10.1084/jem.20201181 (2020).
Wang, Z. et al. Isolation of single HIV-1 envelope specific B cells and antibody cloning from immunized rhesus macaques. J. Immunol. Methods 478, 112734 (2020).
Tiller, T. et al. Efficient generation of monoclonal antibodies from single human B cells by single cell RT-PCR and expression vector cloning. J. Immunol. Methods 329, 112–124 (2008).
von Boehmer, L. et al. Sequencing and cloning of antigen-specific antibodies from mouse memory B cells. Nat. Protocols 11, 1908–1923 (2016).
Klein, F. et al. Enhanced HIV-1 immunotherapy by commonly arising antibodies that target virus escape variants. J. Exp. Med. 211, 2361–2372 (2014).
Schoofs, T. et al. Broad and potent neutralizing antibodies recognize the silent face of the HIV envelope. Immunity 50, 1513–1529 (2019).
Ye, J., Ma, N., Madden, T. L. & Ostell, J. M. IgBLAST: an immunoglobulin variable domain sequence analysis tool. Nucleic Acids Res. 41, W34–W40 (2013).
Gupta, N. T. et al. Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. Bioinformatics 31, 3356–3358 (2015).
Rubelt, F. et al. Onset of immune senescence defined by unbiased pyrosequencing of human immunoglobulin mRNA repertoires. PLoS ONE 7, e49774 (2012).
Kyte, J. & Doolittle, R. F. A simple method for displaying the hydropathic character of a protein. J. Mol. Biol. 157, 105–132 (1982).
Guy, H. R. Amino acid side-chain partition energies and distribution of residues in soluble proteins. Biophys. J. 47, 61–70 (1985).
DeWitt, W. S. et al. A public database of memory and naive B-cell receptor sequences. PLoS ONE 11, e0160853 (2016).
Mastronarde, D. N. Automated electron microscope tomography using robust prediction of specimen movements. J. Struct. Biol. 152, 36–51 (2005).
Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).
Goddard, T. D., Huang, C. C. & Ferrin, T. E. Visualizing density maps with UCSF Chimera. J. Struct. Biol. 157, 281–287 (2007).
We thank all study participants who devoted time to our research; B. Coller and S. Schlesinger, the Rockefeller University Hospital Clinical Research Support Office and nursing staff; J. L. DeRisi for facilitating interactions with the Chan Zuckerberg Biohub; all members of the M.C.N. laboratory for discussions; A. Escolano, G. Breton and B. Reis; M. Jankovic for laboratory support; and J. Vielmetter and the Protein Expression Center in the Beckman Institute at Caltech. This work was supported by NIH grant P01-AI138398-S1 (M.C.N., C.M.R. and P.J.B.) and 2U19AI111825 (M.C.N. and C.M.R.); the Caltech Merkin Institute for Translational Research and P50 AI150464 (P.J.B.), George Mason University Fast Grants (D.F.R. and P.J.B.) and the European ATAC consortium EC 101003650 (D.F.R.); R01-AI091707-10S1 to C.M.R.; R37-AI64003 to P.D.B.; R01AI78788 to T. Hatziioannou; The G. Harold and Leila Y. Mathers Charitable Foundation to C.M.R. Electron microscopy was performed in the Caltech Beckman Institute Resource Center for Transmission Electron Microscopy (directors: S. Chen and A. Malyutin). C.G. was supported by the Robert S. Wennett Post-Doctoral Fellowship, in part by the National Center for Advancing Translational Sciences (National Institutes of Health Clinical and Translational Science Award programme, grant UL1 TR001866) and by the Shapiro-Silverberg Fund for the Advancement of Translational Research. P.D.B. and M.C.N. are investigators of the Howard Hughes Medical Institute.
The Rockefeller University has filed a provisional patent application in connection with this work on which D.F.R. and M.C.N. are inventors (US patent 63/021,387).
Peer review information Nature thanks Alice McHardy and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
a, Summary of the characteristics of the cohort. Sx, symptoms. b, Age distribution for all men (n = 83) and women (n = 66) in the cohort. P = 0.2074. c, Duration of symptoms in days for all men (n = 83) and women (n = 66) in the cohort. P = 0.8704. d, Time between symptom onset and plasma collection for all men (n = 83) and women (n = 66) in the cohort. P = 0.5514. e, Subjective symptom severity on a scale of 0–10 for all men (n = 83) and women (n = 66) in the cohort. P = 0.1888. f, Age distribution for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.0305. g, Duration of symptoms in days for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.1241. h, Time between symptom onset and plasma collection in days for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.1589. i, Symptom severity for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.0550. j, Age distribution for all outpatient (n = 138) and hospitalized (n = 11) participants. P = 0.0024. k, Duration of symptoms in days for all outpatient (n = 138) and hospitalized (n = 11) participants in the cohort. P < 0.0001. l, Time between symptom onset and plasma collection in days for all outpatient (n = 138) and hospitalized (n = 11) participants in the cohort. P = 0.0001. m, Symptom severity for all outpatient (n = 138) and hospitalized (n = 11) participants in the cohort. P < 0.0001. Horizontal bars indicate median values. Statistical significance was determined using two-tailed Mann–Whitney U-tests.
a, Normalized AUC for IgG anti-RBD for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.0107. b, Normalized AUC for IgM anti-RBD for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.5371. c, Normalized AUC for IgG anti-S for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.0135. d, Normalized AUC for IgM anti-S for all cases (n = 111) and contacts (n = 38) in the cohort. P = 0.7838. e, Normalized AUC for IgM anti-RBD for all men (n = 83) and women (n = 66) in the cohort. P = 0.9597. f, Normalized AUC for IgG anti-S for all men (n = 83) and women (n = 66) in the cohort. P = 0.0275. g, Normalized AUC for IgM anti-S for all men (n = 83) and women (n = 66) in the cohort. P = 0.5363. h, Normalized AUC for IgM anti-RBD for all outpatient (n = 138) and hospitalized (n = 11) participants in the cohort. P = 0.0059. i, Normalized AUC for IgG anti-S for all outpatient (n = 138) and hospitalized (n = 11) participants in the cohort. P = 0.0623. j, Normalized AUC for IgM anti-S for all outpatient (n = 138) and hospitalized (n = 11) participants in the cohort. P = 0.2976. Horizontal bars indicate median values. Statistical significance was determined using two-tailed Mann–Whitney U-tests.
a, Time between symptom onset and plasma collection in days plotted against normalized AUC for IgG anti-RBD. r = –0.0261, P = 0.7533. b, Time between symptom onset and plasma collection in days plotted against normalized AUC for IgG anti-S. r = −0.1495, P = 0.0697. c, Time between symptom onset and plasma collection in days plotted against normalized AUC for IgM anti-S. r = 0.1496, P = 0.0695. d, Age plotted against AUC for IgM anti-RBD. r = 0.0172, P = 0.8355. e, Age plotted against normalized AUC for IgG anti-S. r = 0.1523, P = 0.0638. f, Age plotted against normalized AUC for IgM anti-S. r = 0.0565, P = 0.4934. g, Duration of symptoms in days plotted against normalized AUC for IgG anti-RBD. r = 0.1525, P = 0.0633. h, Duration of symptoms in days plotted against normalized AUC for IgM anti-RBD. r = −0.3187, P < 0.0001. i, Duration of symptoms in days plotted against normalized AUC for IgG anti-S. r = 0.0329, P = 0.6904. j, Duration of symptoms in days plotted against normalized AUC for IgM anti-S. r = 0.0824, P = 0.3177. k, Severity of symptoms plotted against normalized AUC for IgG anti-RBD. r = 0.2679, P = 0.0010. l, Severity of symptoms plotted against normalized AUC for IgM anti-RBD. r = −0.1943, P = 0.0176. m, Severity of symptoms plotted against normalized AUC for IgG anti-S. r = 0.1187 P = 0.1492. n, Severity of symptoms plotted against normalized AUC for IgM anti-S. r = 0.1597, P = 0.0517. All correlations were analysed by two-tailed Spearman’s tests; n = 149.
a, Co-transfection of pNL4-3ΔEnv-nanoluc and pSARS-CoV-2 spike vectors into 293T cells (ATCC) leads to production of SARS-CoV-2 spike-pseudotyped HIV-1 particles (SARS-CoV-2 pseudovirus) carrying the nanoluc gene. b, SARS-CoV-2 pseudovirus is incubated for 1 h at 37 °C with plasma or monoclonal antibody dilutions. The virus–antibody mixture is used to infect ACE2-expressing 293T cells, which will express nanoluc luciferase upon infection. c, Relative luminescence unit (RLU) reads from lysates of ACE2-expressing 293T cells infected with increasing amounts of SARS-CoV-2 pseudovirus. Data are mean ± s.d. of triplicates. One representative experiment is shown.
a, Normalized AUC for anti-RBD IgM plotted against NT50. r = 0.3119, P = 0.0001. b, Normalized AUC for anti-S IgM plotted against NT50. r = 0.3211, P < 0.0001. c, Duration of symptoms in days plotted against NT50. r = 0.1997, P = 0.0146. d, Time between symptom onset and plasma collection in days plotted against NT50. r = −0.1344, P = 0.1033. e, Symptom severity plotted against NT50. r = 0.2234, P = 0.0062. f, Age plotted against NT50. r = 0.3005, P = 0.0002. All correlations were analysed by two-tailed Spearman’s tests; n = 149. The dotted line (NT50 = 5) represents the lower limit of detection of the pseudovirus neutralization assay. Samples with neutralizing titres below 1:50 were plotted at the lower limit of detection.
Gating strategy used for cell sorting. Gating was on singlets that were CD20+ and CD3−CD8−CD16−Ova−. Sorted cells were RBD-PE+ and RBD-AF647+.
Two-tailed t-tests with unequal variance were used to compare the frequency distributions of human V genes of anti-SARS-CoV-2 antibodies from this study to Sequence Read Archive accession SRP01097041.
a, For each individual, the number of somatic nucleotide mutations at the IGVH and IGVL is shown on the left, and the amino acid length of the CDR3s is shown on the right. The horizontal bars indicate the mean. The number of antibody sequences (IGVH and IGVL) evaluated for each participant are n = 118 (COV107), n = 127 (COV21), n = 79 (COV47), n = 54 (COV57), n = 78 (COV72), n = 78 (COV96). b, Same as in a but for all antibodies combined (n = 534 for both IGVH and IGVL). c, Distribution of the hydrophobicity GRAVY scores at the IGH CDR3 in antibody sequences from this study compared to a public database (see Methods for statistical analysis). The box limits are at the lower and upper quartiles, the centre line indicates the median, the whiskers are 1.5× interquartile range and the dots represent outliers.
Extended Data Fig. 9 Binding of the monoclonal antibodies to the RBD of SARS-CoV-2 and cross-reactivity to SARS-CoV.
a, EC50 values for binding to the RBD of SARS-CoV-2. Average of two or more experiments. n = 89. b, c, Binding curves (b; representative experiment) and EC50 values (c; mean of two experiments) for binding to the RBD of SARS-CoV. n = 20 and n = 17 (excluding isotype and CR3022) for b and c, respectively. d, e, SARS-CoV pseudovirus neutralization curves and IC50 values. d, Data are mean ± s.d. of duplicates for one representative experiment. e, Data are the mean of two experiments (n = 10, excluding CR3022). Samples with IC50 values above 1 μg ml−1 were plotted at 1 μg ml−1.
Binding of antibodies C144, C101, C002, C121, C009 and C119. Graphs show second antibody binding to preformed C121 IgG–RBD complexes. The table displays the shift in nanometres after second antibody (Ab2) binding to the antigen in the presence of the first antibody (Ab1). Values are normalized through the subtraction of the autologous antibody control.
| Individual participant demographics and clinical characteristics *=hospitalized, Sx=symptoms.
| Frequency of symptoms and comorbidities reported by participants HTN (hypertension), CAD (coronary artery disease), DM (diabetes mellitus), COPD (chronic obstructive pulmonary disease).
| Sequences of anti-SARS-CoV-2 IgG antibodies.
| Highly similar antibody sequences that are shared across individuals.
| Sequences of cloned recombinant antibodies.
| Effective and inhibitory concentrations of the monoclonal antibodies NT=not tested.
About this article
Cite this article
Robbiani, D.F., Gaebler, C., Muecksch, F. et al. Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature 584, 437–442 (2020). https://doi.org/10.1038/s41586-020-2456-9
Multiple Sclerosis Journal (2020)
Competitive SARS-CoV-2 Serology Reveals Most Antibodies Targeting the Spike Receptor-Binding Domain Compete for ACE2 Binding
Frontiers in Immunology (2020)
Wiener klinische Wochenschrift (2020)