| Literature DB >> 34056628 |
Andrea R Shiakolas1,2, Kevin J Kramer1,2, Daniel Wrapp3, Simone I Richardson4,5, Alexandra Schäfer6, Steven Wall1, Nianshuang Wang3, Katarzyna Janowska7, Kelsey A Pilewski1,2, Rohit Venkat1,8, Robert Parks9, Nelia P Manamela4,5, Nagarajan Raju1,2, Emilee Friedman Fechter1, Clinton M Holt1,8, Naveenchandra Suryadevara1, Rita E Chen10,11, David R Martinez6, Rachel S Nargi1, Rachel E Sutton1, Julie E Ledgerwood12, Barney S Graham12, Michael S Diamond10,11,13, Barton F Haynes9, Priyamvada Acharya7,9, Robert H Carnahan1,14, James E Crowe1,2,14, Ralph S Baric6, Lynn Morris4,5, Jason S McLellan3, Ivelin S Georgiev1,2,15,16,17,18.
Abstract
The continual emergence of novel coronaviruses (CoV), such as severe acute respiratory syndrome-(SARS)-CoV-2, highlights the critical need for broadly reactive therapeutics and vaccines against this family of viruses. From a recovered SARS-CoV donor sample, we identify and characterize a panel of six monoclonal antibodies that cross-react with CoV spike (S) proteins from the highly pathogenic SARS-CoV and SARS-CoV-2, and demonstrate a spectrum of reactivity against other CoVs. Epitope mapping reveals that these antibodies recognize multiple epitopes on SARS-CoV-2 S, including the receptor-binding domain, the N-terminal domain, and the S2 subunit. Functional characterization demonstrates that the antibodies mediate phagocytosis-and in some cases trogocytosis-but not neutralization in vitro. When tested in vivo in murine models, two of the antibodies demonstrate a reduction in hemorrhagic pathology in the lungs. The identification of cross-reactive epitopes recognized by functional antibodies expands the repertoire of targets for pan-coronavirus vaccine design strategies.Entities:
Keywords: COVID-19; Fc effector function; LIBRA-seq; SARS-CoV-2; antibody discovery; cross-reactivity; single-cell sequencing
Mesh:
Substances:
Year: 2021 PMID: 34056628 PMCID: PMC8139315 DOI: 10.1016/j.xcrm.2021.100313
Source DB: PubMed Journal: Cell Rep Med ISSN: 2666-3791
Figure 1Identification of coronavirus cross-reactive antibodies from SARS-CoV recovered PBMC sample using LIBRA-seq
(A) Schematic of DNA-barcoded antigens used to probe a SARS-CoV donor PBMC sample.
(B) LIBRA-seq scores for SARS-CoV (x axis) and SARS-CoV-2 (y axis) for all IgG+ B cells recovered from sequencing are shown as circles; 15 lead antibody candidates are highlighted in purple.
(C) Antibodies were tested for binding to CoV antigens by ELISA. HIV-specific antibody VRC01 was used as a negative control. Anti-SARS-CoV mouse antibody 240CD was also used. ELISAs were performed in technical duplicates with at least 2 biological duplicates. Data are represented as means ± SEMs.
(D) ELISA binding data are displayed as a heatmap of the AUC values calculated from data in (C), with an area under the curve (AUC) of 0 as white, and maximum AUC as purple.
See also Figure S1.
Figure 2Epitope mapping of cross-reactive antibodies
(A) For cross-reactive coronavirus antibodies, ELISA data against the antigens are displayed as a heatmap of the AUC values calculated from the data in Figure S2A.
(B) For SARS-CoV-2 S1-reactive antibodies, ELISA data against the RBD and NTD are displayed as a heatmap of the AUC values calculated from the data in Figure S2B. For (A) and (B), an AUC of 0 is displayed as white and maximum AUC as purple. ELISA data are representative of at least 2 independent experiments. Anti-HIV antibody VRC01 and anti-vascular endothelial growth factor (VEGF) antibody are shown as a negative control, and anti-SARS-CoV antibody 240CD is shown as a positive control.
(C) Surface plasmon resonance binding of 46472-12 Fab to SARS-CoV-2 RBD. Calculated binding constants are shown to the right of the graph.
(D) Cross-reactive antibodies were used in a competition ELISA to determine whether the binding of one antibody affected the binding of another. Competitor antibodies were added at 10 μg/mL, and then detected antibodies were added at 0.1 μg/mL. The percent reduction in binding compared to binding without a competitor is shown. An anti-HIV antibody was used as a negative control. ELISAs were performed in technical duplicates with at least 2 biological duplicates.
(E) Antibodies were tested for autoreactivity against a variety of antigens in the Luminex AtheNA assay. AU stands for Athena units. Anti-HIV antibody 4E10 was used as a positive control and Ab82 was used as a negative control.
(F) Cross-reactive coronavirus antibodies target a variety of epitopes on the SARS-CoV-2 S protein, including the RBD, NTD, and S2 domains, highlighted on the structure (PDB: 6VSB).
See also Figure S2.
Figure 3Functional activity of cross-reactive coronavirus antibodies
(A) Cross-reactive coronavirus antibodies were tested for antibody-dependent cellular phagocytosis activity (ADCP) against SARS-CoV-2 S, compared to positive control CR3022 and negative control palivizumab, an anti-RSV antibody. AUC of the phagocytosis score is shown, calculated from data in Figure S3C. Data are represented as means ± SDs.
(B) 46472-4 and 46472-12 were tested for ADCP activity against SARS-CoV S, compared to CR3022 and anti-RSV palivizumab. AUC of the phagocytosis score is shown, calculated from data in Figure S3D. Data are represented as means ± SDs.
(C) Cross-reactive coronavirus antibodies were tested for antibody-dependent cellular trogocytosis (ADCT) activity against SARS-CoV-2 S displayed on transfected cells, compared to positive control CR3022 and anti-RSV palivizumab. AUC of the trogocytosis score is shown, calculated from data in Figure S3E. Data are represented as means ± SDs.
(D) Cross-reactive coronavirus antibodies were tested for antibody-dependent complement deposition (ADCD) activity against SARS-CoV-2 S, compared to positive control CR3022 and anti-RSV palivizumab. AUC of the C3b deposition score is shown, calculated from data in Figure S3F. Data are represented as means ± SDs.
See also Figure S3.
Figure 4In vivo effects of cross-reactive antibodies
(A) Timeline of the prophylactic antibody experiment in SARS-CoV-2 mouse adapted (MA) in vivo infection model.
(B and C) For each antibody treatment group for the experiment using (B) 1 × 103 PFU or (C) 1 × 104 PFU of SARS-CoV-2 MA, shown are daily body weight progression, and terminal qRT-PCR quantification of lung viral titer and lung hemorrhage scores of gross pathology. For viral titer values and the lung hemorrhage scores, an ordinary one-way ANOVA test with multiple comparisons was performed; ∗∗p < 0.01 and ∗∗∗p < 0.001.
(D) For the experiment with 1 × 104 PFU of SARS-CoV-2 MA, percent survival for each antibody group is shown.
See also Figure S4.
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| APC-Cy7 mouse anti-human CD14 | BD | Cat#561709; RRID: RRID:AB_10893806 |
| FITC anti-human CD3 (OKT3) | Tonbo Biosciences | Cat#35-0037; RRD: RRID: |
| PE-Cy5 mouse anti-human IgG | BD | Cat#551497; RRD: RRID: |
| BV711 mouse anti-human CD19 | BD | Cat#563036; RRID: |
| FITC mouse anti-human IgG | BD | Cat#555786; RRID: |
| Anti-HIV-1 gp120 monoclonal (VRC01) | NIH AIDS Reagent Program | Cat#12033; RRID: |
| CR3022 | Yuan et al. | N/A |
| Monoclonal anti-SARS-CoV 240CD | BEI Resources | NR-616 |
| Goat anti-human IgG (Fc specific) peroxidase | Sigma-Aldrich | Cat#A0170; RRID: |
| DENV-2D22 | James Crowe Jr. | N/A |
| Anti-VEGF | Baca et al. | Avastin (Bevacizumab) |
| Monoclonal anti-SARS-CoV/SARS-CoV-2 46472-1 | This paper | GenBank: MZ126644, MZ126659 |
| Monoclonal anti-SARS-CoV/SARS-CoV-2 46472-2 | This paper | GenBank: MZ126645, MZ126660 |
| Monoclonal anti-SARS-CoV/SARS-CoV-2 46472-3 | This paper | GenBank: MZ126646, MZ126661 |
| Monoclonal anti-SARS-CoV/SARS-CoV-2 46472-4 | This paper | GenBank: MZ126647, MZ126662 |
| Monoclonal anti-SARS-CoV/SARS-CoV-2 46472-6 | This paper | GenBank: MZ126649, MZ126664 |
| Monoclonal anti-SARS-CoV/SARS-CoV-2 46472-12 | This paper | GenBank: MZ126655, MZ126670 |
| Monoclonal 46472-5 | This paper | GenBank: MZ126648, MZ126663 |
| Monoclonal 46472-7 | This paper | GenBank: MZ126650, MZ126665 |
| Monoclonal 46472-8 | This paper | GenBank: MZ126651, MZ126666 |
| Monoclonal 46472-9 | This paper | GenBank: MZ126652, MZ126667 |
| Monoclonal 46472-10 | This paper | GenBank: MZ126653, MZ126668 |
| Monoclonal 46472-11 | This paper | GenBank: MZ126654, MZ126669 |
| Monoclonal 46472-13 | This paper | GenBank: MZ126656, MZ126671 |
| Monoclonal 46472-14 | This paper | GenBank: MZ126657, MZ126672 |
| Monoclonal 46472-15 | This paper | GenBank: MZ126658, MZ126673 |
| Goat IgG anti-guinea pig complement C3, polyclonal antibody, FITC | MP Biomedicals | Cat# 11499934 |
| Palivizumab | MedImmmune | N/A |
| Goat anti-human IgG antibody (peroxidase) | Jackson ImmunoResearch | Cat#109-035-088; RRID: |
| Avi Tag antibody, mAb, mouse | GenScript | Cat#A01738-100 |
| Monoclonal anti-influenza 3602-1707 | Setliff et al. | N/A |
| Monoclonal anti-MERS-CoV S1 | Sino Biological | Cat#40069-MM23; RRID: |
| Monoclonal anti-MERS-CoV S2 | Sino Biological | Cat#40070-MM11; RRID: |
| S230 | Walls et al. | N/A |
| 1F8 | Tang et al. | N/A |
| COV2-2196 | Zost et al. | N/A |
| SARS-CoV-2 strain 2019 n-CoV/USA_WA1/2020 | N. Thornburg | Centers for Disease Control and Prevention |
| SARS-CoV-2 (full length, Seattle Washington isolate) | Ralph Baric | N/A |
| SARS-CoV (full length, Urbani isolate) | Ralph Baric | N/A |
| SARS-CoV-2 MA10 | Ralph Baric | Dinnon et al. |
| PBMC from donor | Barney Graham | N/A |
| Low-tox guinea pig complement | Cedarlane | Cat #CL4051 |
| CZA97.SOSIP.664 gp140 trimer | Ivelin Georgiev | N/A |
| ZM197.SOSIP.664 gp140 trimer | Ivelin Georgiev | N/A |
| SARS-CoV-2 S (S-2P) | PMID: | N/A |
| SARS-CoV-2 S (Hexapro) | PMID: | N/A |
| SARS-CoV S (S-2P) | PMID: | N/A |
| MERS-CoV S (S-2P) | PMID: | N/A |
| HCoV-OC43 S (S-2P) | McLellan Lab | N/A |
| HCoV-HKU1 S (S-2P) | PMID: | N/A |
| SARS-CoV-2 S1 | Sino Biological | Cat#40591-V08H |
| SARS-CoV-2 S1 D614G | Sino Biological | Cat#40591-V08H3 |
| SARS-CoV-2 S2 | Sino Biological | Cat#40590-V08B |
| SARS-CoV-2 RBD | Sino Biological | Cat#40592-VNAH |
| SARS-CoV RBD | Sino Biological | Cat #40150-V08B2 |
| SARS-CoV-2 NTD | Sino Biological | Cat#40591-V49H |
| ACE2 | Sigma Aldrich | SAE0064-5UG |
| SARS-CoV-2 S HexaPro N165A | This paper | N/A |
| SARS-CoV-2 S HexaPro N709A | This paper | N/A |
| SARS-CoV-2 RBD-SD1 | PMID: | N/A |
| MERS-CoV S1 Fd | PMID: | N/A |
| Streptavidin HRP | Thermo Fisher Scientific | Cat#ENN100 |
| Streptavidin R-phycoerythrin (SA-PE) | Invitrogen | Cat#S866 |
| Carboxyfluorescein diacetate N-succinimidyl ester (CFSE) | Sigma-Aldrich | Cat#21888 |
| Protein A resin | GenScript | Cat# L00210 |
| Polyethyleniminine linear MW 25000 | Polysciences | Cat#23966-1 |
| Ghost dye red 780 | Tonbo biosciences | Cat#13-0865 |
| Live/Dead fixable aqua dead cell stain kit | Thermo Fisher Scientific | Cat#L34957 |
| FluoSpheres neutrAvidin-labeled microspheres, 1.0 μm, yellow-green fluorescent | Thermo Fisher Scientific | Cat#F8776 |
| FluoSpheres NeutrAvidin-labeled microspheres, 1.0 μm, red fluorescent | Thermo Fisher Scientific | Cat#F8775 |
| Biacore X100 Sensorchip NTA | GE Healthcare | Cat# BR1004 |
| EZ link Sulfo-NHS-LC-biotin | Thermo Fisher Scientific | Cat#21327 |
| BirA-500: Bir A biotin-protein ligase standard reaction kit | Avidity | Cat# BirA500 |
| Solulink protein-oligonucleotide conjugation kit | TriLink Biotechnologies | Cat# S-9011 |
| B cell single cell V(D)J solution | 10X Genomics | N/A |
| AtheNA Multi-Lyte® ANA-II plus test kit | Zeus Scientific, Inc | Cat # A21101 |
| 46472 heavy chain sequences | This paper | GenBank: MZ126644- MZ126658 |
| 46472 light chain sequences | This paper | GenBank: MZ126659- MZ126673 |
| Raw next-generation sequencing data | This paper | SRA: PRJNA727275 |
| Human THP-1 cells | AIDS Reagent Program | Cat#9942 |
| Human: Freestyle 293F cells | ThermoFisher Scientific | Cat#A14528 |
| Human: Expi293F cells | ThermoFisher Scientific | Cat#A14527 |
| ExpiCHO cells | Thermo Fisher Scientific | Cat#A29127 |
| Vero E6 USAMRID | N/A | N/A |
| HEK293T cells | Dr. George Shaw | N/A |
| BALB/cAnHsd mice | Envigo | Stock number 047 |
| Oligonucleotides for protein DNA-barcoding | Setliff et al. | N/A |
| Cell Ranger | 10X Genomics | |
| HighV-Quest | Alamyar et al. | |
| ChangeO | Gupta et al. | |
| Geneious 11.1.5 | N/A | |
| PyMOL | The PyMOL Molecular Graphics System, Version 2.3.5 Schrödinger, LLC | N/A |
| Flowjo v10 | TreeStar | |
| GraphPad Prism 8.0.0 | N/A | |
| Biacore X100 Evaluation Software | GE Healthcare | V2.0.1 |
| AtheNA Software | N/A | N/A |
| MUSCLE | Madeira et al. | N/A |
| BLOSUM-62 | Henikoff et al. | N/A |
| Galanthus nivalis lectin | Vector Laboratories | Cat # AL-1243-5 |
| 1-Step Ultra TMB-ELISA substrate solution | ThermoFisher Scientific | Cat#34029 |
| Costar high binding microplates | Corning | Cat#9018 |
| D-(+)-Mannose | Sigma-Aldrich | Cat# M6020 |