Literature DB >> 34453881

Live imaging of SARS-CoV-2 infection in mice reveals that neutralizing antibodies require Fc function for optimal efficacy.

Irfan Ullah1, Jérémie Prévost2, Mark S Ladinsky3, Helen Stone4, Maolin Lu4, Sai Priya Anand5, Guillaume Beaudoin-Bussières2, Kelly Symmes1, Mehdi Benlarbi6, Shilei Ding6, Romain Gasser2, Corby Fink7, Yaozong Chen8, Alexandra Tauzin2, Guillaume Goyette6, Catherine Bourassa6, Halima Medjahed6, Matthias Mack9, Kunho Chung1, Craig B Wilen10, Gregory A Dekaban11, Jimmy D Dikeakos7, Emily A Bruce12, Daniel E Kaufmann2, Leonidas Stamatatos13, Andrew T McGuire14, Jonathan Richard2, Marzena Pazgier8, Pamela J Bjorkman3, Walther Mothes15, Andrés Finzi16, Priti Kumar17, Pradeep D Uchil18.   

Abstract

Neutralizing antibodies (NAbs) are effective in treating COVID-19, but the mechanism of immune protection is not fully understood. Here, we applied live bioluminescence imaging (BLI) to monitor the real-time effects of NAb treatment during prophylaxis and therapy of K18-hACE2 mice intranasally infected with SARS-CoV-2-nanoluciferase. Real-time imaging revealed that the virus spread sequentially from the nasal cavity to the lungs in mice and thereafter systemically to various organs including the brain, culminating in death. Highly potent NAbs from a COVID-19 convalescent subject prevented, and also effectively resolved, established infection when administered within three days. In addition to direct neutralization, depletion studies indicated that Fc effector interactions of NAbs with monocytes, neutrophils, and natural killer cells were required to effectively dampen inflammatory responses and limit immunopathology. Our study highlights that both Fab and Fc effector functions of NAbs are essential for optimal in vivo efficacy against SARS-CoV-2.
Copyright © 2021 Elsevier Inc. All rights reserved.

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Keywords:  COVID-19; Fc effector functions; SARS-CoV-2; bioluminescence imaging; human ACE2 transgenic mice; monocytes; nanoluciferase; natural killer cells; neutralizing antibodies; pathogenesis

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Year:  2021        PMID: 34453881      PMCID: PMC8372518          DOI: 10.1016/j.immuni.2021.08.015

Source DB:  PubMed          Journal:  Immunity        ISSN: 1074-7613            Impact factor:   43.474


Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) neutralizing monoclonal antibodies (NAbs) are an attractive countermeasure for both COVID-19 prevention and therapy (Schäfer et al., 2021; Voss et al., 2021; Weinreich et al., 2021). To date, multiple NAbs against the spike (S) glycoprotein of SARS-CoV-2 have been isolated from convalescent subjects. The majority of NAbs bind to the receptor-binding domain (RBD) in the S1 subunit and inhibit virus attachment to the human angiotensin-converting enzyme 2 (hACE2) receptor. NAbs against the N-terminal domain (NTD) of S1 as well as the S2 subunit have also been isolated (Liu et al., 2020; Voss et al., 2021). NAbs have demonstrated varying levels of efficacy and protection in multiple animal models of SARS-CoV-2 (Alsoussi et al., 2020; Baum et al., 2020; Fagre et al., 2020; Hansen et al., 2020; Hassan et al., 2020; Li et al., 2020; Rogers et al., 2020; Shi et al., 2020b; Winkler et al., 2020; Zost et al., 2020a; Zost et al., 2020b). However, the in vitro neutralization potency of NAbs has not consistently correlated with in vivo protection (Bournazos et al., 2014; Schäfer et al., 2021). While the antigen-binding domain (Fab) of antibodies are critical for neutralization, the fragment crystallizable (Fc) domain can also substantially influence in vivo efficacy (Bournazos et al., 2019; Bournazos et al., 2014; DiLillo et al., 2014; Lu et al., 2018). Fc effector functions can also be detrimental to the host, especially against respiratory viruses, such as respiratory syncytial virus (RSV) and SARS-CoV-1, leading to antibody-dependent enhancement (ADE) and aggravated disease pathology (Bolles et al., 2011; Halstead and Katzelnick, 2020; Ruckwardt et al., 2019). Therefore, a careful investigation of NAb mechanisms that elicit protective or pathological consequences is required prior to clinical deployment. Animal models evaluated to date (Johansen et al., 2020; Leist et al., 2020a; Leist et al., 2020b) have not fully recapitulated pathological features of human coronavirus disease 2019 (COVID-19). Transgenic mice expressing hACE2 under the cytokeratin 18 promoter (K18-hACE2 mice) have some distinct advantages. Their heightened susceptibility to human-tropic SARS-CoV-2 virus strains with mortality ensuing within a week (McCray et al., 2007; Shi et al., 2020a; Winkler et al., 2020) sets a high bar for identifying effective intervention strategies. In humans, SARS-CoV-2 infection disables innate immunity and elicits an imbalanced inflammatory cytokine response in the lungs leading to acute respiratory distress syndrome (ARDS), which is the major cause of death (Graham and Baric, 2020). K18-hACE2 mice also display lung inflammation, cytokine storm, and impaired respiratory function (Winkler et al., 2020). However, mortality is because of neuroinvasion (Carossino et al., 2021; Golden et al., 2020; Leist et al., 2020a). SARS-CoV-2 patients can also display a myriad of neurological symptoms, an etiology that need further investigation (Ellul et al., 2020). Finally, mouse FcγRs display similar affinities to human antibodies (Dekkers et al., 2017). Therefore, K18-hACE2 mice are excellent models for evaluating candidate human anti-SARS-CoV-2 Abs and anti-viral interventions. Bioluminescence imaging (BLI)-guided studies permit live visualization of pathogen spread in relevant tissues, enabling real-time outcome assessments for treatment regimens. A BLI-driven platform has not yet been harnessed for studying infectious respiratory pathogens like SARS-CoV-2 that require level 3 biosafety containment. Here, we establish a BLI-driven approach to study SARS-CoV-2 infection with a well-characterized replication competent SARS-CoV-2 virus carrying a nanoluciferase (nLuc) reporter in the place of the ORF7A gene (Xie et al., 2020a; Xie et al., 2020b). SARS-CoV-2-nLuc closely mimics the wild-type virus replication kinetics and stably maintains the nLuc reporter over five generations in vitro. Further, ORF7a deletion was recently shown not to affect pathology of the wild-type virus (Silvas et al., 2021). In vivo BLI revealed that the virus spreads from the nasal cavity to lungs to establish infection. This is followed by sequential infection of cervical lymph nodes (cLNs), brain, and finally systemic dissemination. Upon neuroinvasion, the virus replicates rapidly in the brain, leading to fulminant infection and death by 6–7 days post infection (dpi). A single prophylactic intraperitoneal (i.p.) administration of highly potent NAbs isolated from a convalescent COVID-19 subject prevented SARS-CoV-2-induced mortality in K18-hACE2 mice. Protection was associated with widespread localization of administered NAbs and Fc-mediated effector functions with contributions from neutrophils, monocytes, and natural killer (NK) cells as well as reduced induction of inflammatory cytokines. BLI also revealed a therapeutic window of 3 dpi for NAb for successfully halting progression and spread of infection from the lungs. Thus, our BLI-driven study highlights that both neutralizing and Fc effector functions of NAbs are essential for optimal in vivo efficacy against SARS-CoV-2.

Results

BLI allows visualization of SARS-CoV-2 replication dynamics and pathogenesis

We tracked spread of SARS-CoV-2-nLuc using BLI after intranasal (i.n.) challenge in K18-hACE2 mice (Figure 1 A). 1 × 105 focus forming units (FFUs) of SARS-CoV-2 generated sufficient photon flux to allow non-invasive BLI with luciferase signal detected only in C57BL/6J (B6) mice expressing hACE2 (Figure 1B). Temporal tracking of emitted light intensities revealed that the virus replicated in the nasal cavity in a biphasic manner (Figure 1C). Luminescent signal in the nose increased the first two days of infection and diminished before increasing again between 5 to 6 dpi, when systemic spread occurred. The first signs of infection in the lungs were observed at 1 dpi. The nLuc signal then steadily increased in until 3 dpi. nLuc signals in the cLNs and brain region were detected (imaging in ventral position) at 4 dpi. A steep rise in brain nLuc activity occurred from 4 to 6 dpi, indicating neuroinvasion and robust virus replication (Figures 1B and 1C; Video S1). This was accompanied by widespread virus replication in the gut and genital tract with loss in body weight. By 6 dpi, infected K18-hACE2 mice lost 20% of their initial body weight, became moribund, and succumbed to the infection (Figures 1D and 1E). In contrast, as expected, B6 mice did not experience any weight loss and survived the virus challenge.
Figure 1

SARS-CoV-2-nLuc allows visualization of viral replication dynamics in hACE2 transgenic mice

(A) Experimental strategy utilizing SARS-CoV-2-carrying nLuc reporter in ORF7a for non-invasive BLI of virus spread following intranasal (i.n.) challenge of B6 or K18-hACE2 mice.

(B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions at the indicated dpi and after necropsy.

(C) Temporal quantification of nLuc signal as flux (photons/s) acquired non-invasively in the indicated tissues of each animal. The color bar above the x axis (yellow to orange) represents computed signal intensities in K18-hACE2 mice that are statistically significant compared with B6 mice. See also Video S1.

(D) Temporal changes in mouse body weight with initial body weight set to 100% (n = 4 per group).

(E) Kaplan-Meier survival curves of mice for experiment as in (A) statistically compared by log-rank (Mantel-Cox) test. 3 independent experiments, n = 8 for K18-hACE2 mice, n = 6 for B6 mice.

(F) Ex vivo imaging of indicated organs and quantification of nLuc signal as flux(photons/s) at 6 dpi after necropsy.

(G and H) Viral loads quantified as FFUs/mg and nLuc activity/mg, respectively, in indicated tissue measured on Vero E6 cells as targets. Non-detectable virus amounts were set to 1. See also Table S1 and Figure S1A.

(I) Ratio of Ct values for SARS-CoV-2 nucleocapsid (N) and nLuc estimated by RT-PCR using RNA extracted from input virions (inoculum) and virions from sera of mice at 6 dpi.

(J and K) Fold changes in cytokine mRNA expression in lung and brain tissues at 6 dpi. Data were normalized to Gapdh mRNA in the same sample and that in non-infected mice.

Each curve in (C) and (D) and each data point in (F), (I), (J), and (K) represents an individual mouse. Data in panels (B–D) and (F–K) are from two independent experiments, and n = 4–5 per group. Scale bars in (B) and (F) denote radiance (photons/s/cm2/steradian). p values obtained by non-parametric Mann-Whitney test for pairwise comparison. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001; ns, not significant. Mean values ± SD are depicted.

See also Table S1, Figure S1, and Video S1

SARS-CoV-2-nLuc allows visualization of viral replication dynamics in hACE2 transgenic mice (A) Experimental strategy utilizing SARS-CoV-2-carrying nLuc reporter in ORF7a for non-invasive BLI of virus spread following intranasal (i.n.) challenge of B6 or K18-hACE2 mice. (B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions at the indicated dpi and after necropsy. (C) Temporal quantification of nLuc signal as flux (photons/s) acquired non-invasively in the indicated tissues of each animal. The color bar above the x axis (yellow to orange) represents computed signal intensities in K18-hACE2 mice that are statistically significant compared with B6 mice. See also Video S1. (D) Temporal changes in mouse body weight with initial body weight set to 100% (n = 4 per group). (E) Kaplan-Meier survival curves of mice for experiment as in (A) statistically compared by log-rank (Mantel-Cox) test. 3 independent experiments, n = 8 for K18-hACE2 mice, n = 6 for B6 mice. (F) Ex vivo imaging of indicated organs and quantification of nLuc signal as flux(photons/s) at 6 dpi after necropsy. (G and H) Viral loads quantified as FFUs/mg and nLuc activity/mg, respectively, in indicated tissue measured on Vero E6 cells as targets. Non-detectable virus amounts were set to 1. See also Table S1 and Figure S1A. (I) Ratio of Ct values for SARS-CoV-2 nucleocapsid (N) and nLuc estimated by RT-PCR using RNA extracted from input virions (inoculum) and virions from sera of mice at 6 dpi. (J and K) Fold changes in cytokine mRNA expression in lung and brain tissues at 6 dpi. Data were normalized to Gapdh mRNA in the same sample and that in non-infected mice. Each curve in (C) and (D) and each data point in (F), (I), (J), and (K) represents an individual mouse. Data in panels (B–D) and (F–K) are from two independent experiments, and n = 4–5 per group. Scale bars in (B) and (F) denote radiance (photons/s/cm2/steradian). p values obtained by non-parametric Mann-Whitney test for pairwise comparison. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001; ns, not significant. Mean values ± SD are depicted. See also Table S1, Figure S1, and Video S1

Video S1. Longitudinal non-invasive bioluminescence imaging to visualize SARS-CoV-2-nLuc infection and dissemination in K18-hACE2 mice, related to Figure 1

SARS-CoV-2-nLuc challenged mice were imaged daily in dorsal (d) and ventral (v) positions for 6 days using IVIS Spectrum to monitor virus spread in the whole body as well as neuroinvasion. To visualize the extent of viral spread with enhanced sensitivity and resolution, we imaged individual organs after necropsy (Figures 1B and 1F). Most organs analyzed from K18-hACE2 mice showed nLuc activity with maximum signal in the brain followed by the lung and nasal cavity (Figure 1F) and mirrored the viral loads (FFUs and nLuc activity) measured in these tissues (Figures 1G and 1H). Real-time PCR and histology to detect hACE2 and SARS-CoV-2 nucleocapsid (N) confirmed widespread infection in keeping with hACE2 expression in individual tissues/organs (Table S1; Figure S1A). Reporter-expressing viruses often purge foreign genes, particularly in vivo, because of fitness and immune pressure (Falzarano et al., 2014; Ventura et al., 2019). The ratio of copy numbers of SARS-CoV-2 N to nLuc in the viral RNA by real-time PCR analyses of input virions and virions isolated from sera of mice at 6 dpi, however, remained unchanged (Figure 1I), indicating that the reporter was stable throughout the experimental timeline. Thus, nLuc activity was a good surrogate for virus replication in vivo. SARS-CoV-2 infection triggers an imbalanced immune response and a cytokine storm that contributes substantially to pathogenesis (Del Valle et al., 2020). mRNA of inflammatory cytokines IL6, CCL2, CXCL10, and IFNγ in the lungs and brains of mice after necropsy at 6 dpi was significantly upregulated in infected K18-hACE2 mice compared with B6 (Figures 1J and 1K). Consistent with enhanced inflammation, we observed infiltration of Ly6G+ neutrophils and Ly6C+ monocytes in both lung and brain (Figure S1C). Overall, cytokine mRNAs were highest in the brain with CXCL10 mRNA copy numbers ∼1,000-fold higher in K18-hACE2 than in B6 mice corroborating extensive infection (Figures 1J and 1K). We used BLI data to pinpoint infected regions within lungs, brain, and testis for directed histology and electron tomographic studies (Figure 2 ). Higher-resolution imaging revealed that SARS-CoV-2 viruses were associated to a large extent with capillary endothelial cell and/or alveolar type-1 cells in close vicinity to alveolar macrophages in the lungs (Figures 2A–2D; Videos S2 and S3). In the brain, neuronal cells (hACE2+MAP2+GFAP−CD68−CD11b−) were positive for SARS-CoV-2 N and electron microscopy (EM) tomography revealed an array of SARS-CoV-2 viruses associated within the dendrites (Figures 2E–2J and S1B; Video S4). In the testis, Sertoli cells stained positively for N (Figures 2K–2N; Video S5). EM tomography also showed a large population of virions within pleomorphic membrane-bound compartments of Sertoli cells. Together, these data demonstrate the utility of a BLI-guided platform for temporo-spatial visualization of SARS-CoV-2 infection, spread, and pathogenesis in vivo.
Figure 2

SARS-CoV-2 virions localize in lung, brain, and testis of infected K18-hACE2 mice

(A) Two-dimensional (2D) overview of a lung region featuring red blood cells (rbc) within a pulmonary capillary, an alveolar Type 2 cell (AT2).

(B) Slice from a three-dimensional (3D) tomogram of square region in (A) showing membrane-enclosed cytoplasmic compartments (arrowheads) containing presumptive SARS-CoV-2 virions in capillary endothelial cells.

(C) Presumptive virions from tomogram in (B) displayed at equatorial views. Presumptive virions were identified as described in STAR Methods and are directly comparable to those in SARS-CoV-2-infected Vero-E6 cells (O–Q).

(D) ImmunoEM tomography of presumptive SARS-CoV-2 virions from infected lung tissue, labeled with antiserum against S protein and gold (10 nm) conjugated secondary antibodies. Gold particles localized to the outer peripheries of virions indicate specific labeling of SARS-CoV-2 S.

(E) Tomography of SARS-CoV-2 infected brain tissue. Presumptive SARS-CoV-2 virions (red arrowheads) are present within a neuron (pale green). A dendritic synaptic terminal to the left of the virus-containing neuron shows that presumptive SARS-CoV-2 virions are easily distinguished from typical synaptic neurotransmitter vesicles.

(F) 2D overview of brain tissue illustrating the complex spatial relationship among neurons and other brain cell types. Presumptive SARS-CoV-2 virions are present in two compartments (black squares) within a single neuron.

(G and H) Tomographic slices of black squares in (F). Presumptive SARS-CoV-2 virions (red arrowheads) appear to be aligned within compartments that border the edges of a neural projection.

(I) Presumptive SARS-CoV-2 virions from tomograms in (G) and (H).

(J) ImmunoEM tomography as in (D) of presumptive SARS-CoV-2 virions from infected brain tissue. See also Figure S1B.

(K) (Upper) BLI of testis from a SARS-CoV-2 infected mouse to identify infected regions for immunofluorescence (IF) and EM analyses. (Lower) IF image of an infected testis region stained with antibodies to SARS-CoV-2 N (red).

(L) 2D overview of testis corresponding to region of high intensity (red) in the upper panel of (K), showing Sertoli cells surrounded by developing sperm (left) and one primary spermatocyte (1°S, upper right). Presumptive SARS-CoV-2 virions are localized to membrane-bound compartments in Sertoli cells (black squares).

(M and N) Slices from two 3D tomograms of squares in (L). Presumptive SARS-CoV-2 virions (arrowheads) are present within membrane-enclosed cytoplasmic compartments. These compartments contain additional structures among the discernable SARS-CoV-2 virions (insets).

(O) EM localization of virions in SARS-CoV-2 infected Vero-E6 cells, processed for EM as above tissue samples. Virions were characterized (see STAR Methods) and compared with presumptive virions in the tissue samples to confidently verify their identities. 2D overview of infected Vero-E6 cell in a 150 nm section.

(P) Tomogram of rectangle in (O) showing >100 presumptive SARS-CoV-2 virions contained within cytoplasmic exit compartments.

(Q) Virions from the tomogram in (P) showing common features of dense RNC puncta, discernable surface spikes, vary in size (~60-120 nm) and shape. Virions are directly comparable with those shown for the tissue samples in (C) and (I).

Scale bar length for each image is shown at the bottom. Data in (A–Q) are from one infected K18-hACE2 mice.

See also Figure S1 and Videos S2, S3, S4, and S5.

SARS-CoV-2 virions localize in lung, brain, and testis of infected K18-hACE2 mice (A) Two-dimensional (2D) overview of a lung region featuring red blood cells (rbc) within a pulmonary capillary, an alveolar Type 2 cell (AT2). (B) Slice from a three-dimensional (3D) tomogram of square region in (A) showing membrane-enclosed cytoplasmic compartments (arrowheads) containing presumptive SARS-CoV-2 virions in capillary endothelial cells. (C) Presumptive virions from tomogram in (B) displayed at equatorial views. Presumptive virions were identified as described in STAR Methods and are directly comparable to those in SARS-CoV-2-infected Vero-E6 cells (O–Q). (D) ImmunoEM tomography of presumptive SARS-CoV-2 virions from infected lung tissue, labeled with antiserum against S protein and gold (10 nm) conjugated secondary antibodies. Gold particles localized to the outer peripheries of virions indicate specific labeling of SARS-CoV-2 S. (E) Tomography of SARS-CoV-2 infected brain tissue. Presumptive SARS-CoV-2 virions (red arrowheads) are present within a neuron (pale green). A dendritic synaptic terminal to the left of the virus-containing neuron shows that presumptive SARS-CoV-2 virions are easily distinguished from typical synaptic neurotransmitter vesicles. (F) 2D overview of brain tissue illustrating the complex spatial relationship among neurons and other brain cell types. Presumptive SARS-CoV-2 virions are present in two compartments (black squares) within a single neuron. (G and H) Tomographic slices of black squares in (F). Presumptive SARS-CoV-2 virions (red arrowheads) appear to be aligned within compartments that border the edges of a neural projection. (I) Presumptive SARS-CoV-2 virions from tomograms in (G) and (H). (J) ImmunoEM tomography as in (D) of presumptive SARS-CoV-2 virions from infected brain tissue. See also Figure S1B. (K) (Upper) BLI of testis from a SARS-CoV-2 infected mouse to identify infected regions for immunofluorescence (IF) and EM analyses. (Lower) IF image of an infected testis region stained with antibodies to SARS-CoV-2 N (red). (L) 2D overview of testis corresponding to region of high intensity (red) in the upper panel of (K), showing Sertoli cells surrounded by developing sperm (left) and one primary spermatocyte (1°S, upper right). Presumptive SARS-CoV-2 virions are localized to membrane-bound compartments in Sertoli cells (black squares). (M and N) Slices from two 3D tomograms of squares in (L). Presumptive SARS-CoV-2 virions (arrowheads) are present within membrane-enclosed cytoplasmic compartments. These compartments contain additional structures among the discernable SARS-CoV-2 virions (insets). (O) EM localization of virions in SARS-CoV-2 infected Vero-E6 cells, processed for EM as above tissue samples. Virions were characterized (see STAR Methods) and compared with presumptive virions in the tissue samples to confidently verify their identities. 2D overview of infected Vero-E6 cell in a 150 nm section. (P) Tomogram of rectangle in (O) showing >100 presumptive SARS-CoV-2 virions contained within cytoplasmic exit compartments. (Q) Virions from the tomogram in (P) showing common features of dense RNC puncta, discernable surface spikes, vary in size (~60-120 nm) and shape. Virions are directly comparable with those shown for the tissue samples in (C) and (I). Scale bar length for each image is shown at the bottom. Data in (A–Q) are from one infected K18-hACE2 mice. See also Figure S1 and Videos S2, S3, S4, and S5.

Video S2. Tomographic reconstruction of lung tissue depicting SARS-CoV-2 virions in infected cells, related to Figures 2B–2D

Virus particles are found within membrane-enclosed exit compartments of two adjacent pulmonary capillary endothelial cells. The movie traverses the reconstructed volume to illustrate the compartments (red arrowheads) then increases in magnification to detail the virions within the compartments.

Video S3. Cellular overview and tomogram of SARS-CoV-2-infected region in lung tissue with alveolar macrophages, related to Figure 2

SARS-CoV-2 virions are found in regions containing identifiable immune cells. Movie begins with a large-field montaged overview, highlighting alveolar macrophages (blue), AT2 cells (green), AT1 cells (yellow) and pulmonary blood veins (red). The upper of two blood veins is detailed at higher magnification, showing 3 red blood cells (rbc) and the surrounding capillary endothelium. A region containing portions of two endothelial cells is selected for tomographic reconstruction, showing caveolae at the cell surfaces and localizing SARS-CoV-2 virions within cytoplasmic exit compartments.

Video S4. Tomographic reconstruction of SARS-CoV-2-infected brain tissue depicting infected neurons, related to Figure 2F

Virus particles are found within neurons, often appearing in linear groups within compartments bordering the edges of neuronal projections. The movie details the distinction between presumptive SARS-CoV-2 virions and typical synaptic neurotransmitter vesicles found in an adjacent synaptic terminal.

Video S5. Tomographic reconstruction of mouse testis depicting SARS-CoV-2 virions within sertoli cells, related to Figure 2M

Virus particles are found within membrane-enclosed compartments of Sertoli cells. Additional material and structures coexist with the virions in these compartments, suggesting they may be defined as lysosomes. Presumptive SARS-CoV-2 virions can be discerned from the other structures.

SARS-CoV-2 NAbs CV3-1 and CV3-25 from a convalescent donor display highly potent neutralizing activity and Fc effector function

We recently characterized plasma from a COVID-19 convalescent subject (S006) with potent neutralizing activity and SARS-CoV-1 cross-reactive Abs (Lu et al., 2020). We probed the B cell receptor (BCR) repertoire from this donor to isolate broad and potent NAbs. Using recombinant SARS-CoV-2 S ectodomain (S2P) as bait for antigen-specific B cells, we screened a library of S-targeted BCR clones to identify two potent NAb candidates: CV3-1 and CV3-25 (Jennewein et al., 2021). We characterized their epitope specificity using ELISA, cell-surface staining, virus capture assay, and surface plasmon resonance (SPR) (Ding et al., 2020; Prévost et al., 2020). Both NAbs recognized SARS-CoV-2 S, as a stabilized ectodomain (S-6P) or when displayed on cells and virions, with low-nanomolar affinity (Figures 3 A–3E). While CV3-1 bound the SARS-CoV-2 RBD, CV3-25 targeted the S2 subunit (Figures 3A, 3D, and 3E) and cross-reacted with SARS-CoV-1 S on cells or virions, but not with S from other human coronaviruses (Figures 3B and 3C). In agreement with the previous smFRET data for S006 plasma, CV3-1 stabilized S in the RBD-up (∼0.1 FRET) conformation (Figures 3F–3H), as seen with hACE2 and most RBD-directed NAbs (Lu et al., 2020). CV3-25-bound S showed a partial shift toward downstream conformations (∼0.1 and ∼0.3 FRET), suggesting a distinct inhibitory mechanism from CV3-1 (Figures 3F–3H).
Figure 3

CV3-1 and CV3-25 NAbs display potent neutralizing and antibody effector functions

(A) NAb binding to SARS-CoV-2 S ectodomain (S-6P) or RBD estimated by ELISA. Relative light units (RLU) were normalized to the cross-reactive SARS-CoV-1 mAb CR3022. NAb binding to SARS-CoV-2 S2 N-His tag protein on cell-surface of transfected 293T cells analyzed by flow cytometry. Median fluorescence intensities (MFIs) for anti-S NAbs were normalized to the signal obtained with an anti-His tag mAb.

(B) Flow cytometric detection of 293T cells expressing S from the indicated human CoVs. MFI from 293T cells transfected with empty vector was used for normalization.

(C) Pseudoviruses bearing SARS-CoV-2 or SARS-CoV-1 S were tested for capture by anti-S NAbs. The cross-reactive CR3022 mAb was used for normalization.

(D and E) NAb binding affinity and kinetics to SARS-CoV-2 S using surface plasmon resonance (SPR). SARS-CoV-2 S-6P or S2 ectodomain was immobilized as the ligand on the chip and CV3-1 (D) or CV3-25 (E) Fab was used as analyte at concentrations ranging from 3.12 to 100 nM and 1.56 to 100 nM, respectively, to S-6P and 3.125nM to 200nM for CV3-25 to S2 (2-fold serial dilution; see STAR Methods for details). Alternatively, CV3-1 immunoglobulin G (IgG) was immobilized on the chip and SARS-CoV-2 RBD used as analyte from 1.56 to 50 nM (2-fold serial dilution). Kinetic constants were determined using a 1:1 Langmuir model in bimolecular interaction analysis (BIA) evaluation software (experimental readings depicted in blue and fitted curves in black). Data shown are from one experiment.

(F–H) FRET histograms of ligand-free S on S-MEN coronavirus-like particles (VLPs) (F) or in presence of 50 μg/mL of CV3-1 (G) or CV3-25 (H). VLPs were incubated for 1 h at 37°C before smFRET imaging. N is the number of individual FRET traces compiled into a conformation-population FRET histogram (gray lines) and fitted into a 4-state Gaussian distribution (solid black) centered at 0.1-FRET (dashed cyan), 0.3-FRET (dashed red), 0.5-FRET (dashed green), and 0.8-FRET (dashed magenta). FRET histograms represent mean ± SEM (standard error). SEM is determined from three randomly distributed populations of all FRET traces under each indicated experimental condition.

(I) Neutralizing activity of CV3-1 and CV3-25 alone or in combination (1:1 ratio) on SARS-CoV-2 S bearing pseudoviruses using 293T-ACE2 cells.

(J) Microneutralization activity of anti-S NAbs on live SARS-CoV-2 virus using Vero E6 cells.

(K) Inhibition of cell-to-cell fusion between 293T cells expressing HIV-1 Tat and SARS-CoV-2 S and TZM-bl-ACE2 cells by NAbs.

Half maximal inhibitory antibody concentration (IC50) values in (I–K) were determined by normalized non-linear regression analyses.

(L) MFI of CEM.NKr cells expressing SARS-CoV-2 S (CEM.NKr-S) stained with indicated amounts of NAbs and normalized to parental CEM.NKr.

(M) Percentage of ADCC in the presence of titrated amounts of NAbs using 1:1 ratio of parental CEM.NKr cells and CEM.NKr-S cells as targets when PBMCs from non-infected donors were used as effector cells

(N) Percentage of ADCP in the presence of titrated amounts of NAbs using CEM.NKr-S cells as targets and THP-1 cells as phagocytic cells.

Results shown in panels (A–C), (I–K), and (N) were obtained in at least three or (L and M) two independent experiments

CV3-1 and CV3-25 NAbs display potent neutralizing and antibody effector functions (A) NAb binding to SARS-CoV-2 S ectodomain (S-6P) or RBD estimated by ELISA. Relative light units (RLU) were normalized to the cross-reactive SARS-CoV-1 mAb CR3022. NAb binding to SARS-CoV-2 S2 N-His tag protein on cell-surface of transfected 293T cells analyzed by flow cytometry. Median fluorescence intensities (MFIs) for anti-S NAbs were normalized to the signal obtained with an anti-His tag mAb. (B) Flow cytometric detection of 293T cells expressing S from the indicated human CoVs. MFI from 293T cells transfected with empty vector was used for normalization. (C) Pseudoviruses bearing SARS-CoV-2 or SARS-CoV-1 S were tested for capture by anti-S NAbs. The cross-reactive CR3022 mAb was used for normalization. (D and E) NAb binding affinity and kinetics to SARS-CoV-2 S using surface plasmon resonance (SPR). SARS-CoV-2 S-6P or S2 ectodomain was immobilized as the ligand on the chip and CV3-1 (D) or CV3-25 (E) Fab was used as analyte at concentrations ranging from 3.12 to 100 nM and 1.56 to 100 nM, respectively, to S-6P and 3.125nM to 200nM for CV3-25 to S2 (2-fold serial dilution; see STAR Methods for details). Alternatively, CV3-1 immunoglobulin G (IgG) was immobilized on the chip and SARS-CoV-2 RBD used as analyte from 1.56 to 50 nM (2-fold serial dilution). Kinetic constants were determined using a 1:1 Langmuir model in bimolecular interaction analysis (BIA) evaluation software (experimental readings depicted in blue and fitted curves in black). Data shown are from one experiment. (F–H) FRET histograms of ligand-free S on S-MEN coronavirus-like particles (VLPs) (F) or in presence of 50 μg/mL of CV3-1 (G) or CV3-25 (H). VLPs were incubated for 1 h at 37°C before smFRET imaging. N is the number of individual FRET traces compiled into a conformation-population FRET histogram (gray lines) and fitted into a 4-state Gaussian distribution (solid black) centered at 0.1-FRET (dashed cyan), 0.3-FRET (dashed red), 0.5-FRET (dashed green), and 0.8-FRET (dashed magenta). FRET histograms represent mean ± SEM (standard error). SEM is determined from three randomly distributed populations of all FRET traces under each indicated experimental condition. (I) Neutralizing activity of CV3-1 and CV3-25 alone or in combination (1:1 ratio) on SARS-CoV-2 S bearing pseudoviruses using 293T-ACE2 cells. (J) Microneutralization activity of anti-S NAbs on live SARS-CoV-2 virus using Vero E6 cells. (K) Inhibition of cell-to-cell fusion between 293T cells expressing HIV-1 Tat and SARS-CoV-2 S and TZM-bl-ACE2 cells by NAbs. Half maximal inhibitory antibody concentration (IC50) values in (I–K) were determined by normalized non-linear regression analyses. (L) MFI of CEM.NKr cells expressing SARS-CoV-2 S (CEM.NKr-S) stained with indicated amounts of NAbs and normalized to parental CEM.NKr. (M) Percentage of ADCC in the presence of titrated amounts of NAbs using 1:1 ratio of parental CEM.NKr cells and CEM.NKr-S cells as targets when PBMCs from non-infected donors were used as effector cells (N) Percentage of ADCP in the presence of titrated amounts of NAbs using CEM.NKr-S cells as targets and THP-1 cells as phagocytic cells. Results shown in panels (A–C), (I–K), and (N) were obtained in at least three or (L and M) two independent experiments We next measured neutralization and Fc-dependent functions of CV3-1 and CV3-25. While both NAbs blocked infection by SARS-CoV-2 pseudovirus or live virus and interfered with S-driven cell-to-cell fusion, CV3-1 was ∼10 times more potent than CV3-25 (Figures 3I–3L). To evaluate Fc-mediated effector functions, we used assays that quantify the antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) activities. CV3-1 and CV3-25 efficiently bound and eliminated S-expressing cells by stimulating cytotoxic and phagocytic responses in immune effector cells (Figures 3L–3N). Overall, both NAbs displayed significant neutralization and Fc-dependent antibody functions, although CV3-1 was found to be more effective. The combinatorial effect of the two NAbs (1:1 ratio) was similar to the response with CV3-1 alone (Figures 3I–3N).

Prophylactic treatment with NAbs protects K18-hACE2 mice from SARS-CoV-2 infection

We first monitored the tissue biodistribution of Alexa Fluor 647 (AF647) conjugated CV3-1 and AF594-conjugated CV3-25 in various tissues 24 h after i.p. delivery in mice by fluorescence imaging, histology, and ELISA. All three approaches revealed widespread distribution of both NAbs in multiple organs including the SARS-CoV-2 target tissues nasal cavity, lung, and the brain (Figures S2 and S3A–S3D). We next tested a prophylactic regimen where each NAb was delivered i.p. alone (12.5 mg/kg body weight) or in 1:1 combination (6.25 mg each NAb/kg body weight) 24 h before i.n. challenge with SARS-CoV-2 nLuc (Figure 4 A). Temporal monitoring by whole-body BLI revealed that all three prophylactic regimens substantially reduced SARS-CoV-2 infection in the lungs and subsequent spread (Figures 4B–4D). Pretreatment with CV3-1 alone or in combination with CV3-25 (cocktail 1:1) produced near complete protection from SARS-CoV-2 infection with no signals detected in most organs by live non-invasive imaging or after terminal necropsy at 22 dpi (Figures 4B–4D, 4G, and 4H). Moreover, all test cohorts survived with no discernible weight loss, nLuc activity, or viral loads, which signify complete control of virus infection (Figures 4E–4I). In CV3-25-pretreated animals, lung infection and subsequent neuroinvasion occurred at reduced intensity and was also reflected in individual organs after necropsy (Figures 4B, 4G, and 4H). CV3-25 delayed mortality by ∼2 days in 4 out of the 6 animals, and viral loads in the nasal cavity, lungs, and brain at the time of necropsy (8 dpi) were similar to that in the control cohorts treated with isotype-matched antibodies at 6 dpi (Figures 4F and 4I).
Figure 4

Prophylactic treatment with CV3-1 protects mice from lethal SARS-CoV-2 infection

(A) Experimental design to test in vivo efficacy of NAbs CV3-1 and CV3-25 administered alone (12.5 mg/kg body weight) or as a 1:1 cocktail (6.25 mg/kg body weight each) 1 day prior to challenging K18-hACE2 mice (i.n.) with SARS-CoV-2-nLuc followed by non-invasive BLI every 2 days. Human IgG1-treated (12.5 mg/kg body weight) mice were the control cohort (Iso).

(B) Representative BLI images of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions.

(C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D).

(E) Temporal changes in mouse body weight with initial body weight set to 100%.

(F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test.

(G and H) Ex vivo images of organs and nLuc signal quantified as flux (photons/s) after necropsy.

(I) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1.

(J and K) Fold changes in cytokine mRNA expression in lung and brain tissues. Data were normalized to Gapdh mRNA.

Viral loads (I) and inflammatory cytokine profile (J and K) were determined after necropsy for mice that succumbed to infection at 6 dpi and in mice surviving at 22 dpi.

Scale bars in (B) and (G) denote radiance (photons/s/cm2/steradian). Each curve in (C–E) and each data point in (H–K) represents an individual mouse. Data in (B–K) are from two independent experiments, and n = 4–6 per group Grouped data in (C–K) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance for group comparisons to isotype control are shown in black and for those to CV3-25 are shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted.

See also Figure S2, S3, and S4.

Prophylactic treatment with CV3-1 protects mice from lethal SARS-CoV-2 infection (A) Experimental design to test in vivo efficacy of NAbs CV3-1 and CV3-25 administered alone (12.5 mg/kg body weight) or as a 1:1 cocktail (6.25 mg/kg body weight each) 1 day prior to challenging K18-hACE2 mice (i.n.) with SARS-CoV-2-nLuc followed by non-invasive BLI every 2 days. Human IgG1-treated (12.5 mg/kg body weight) mice were the control cohort (Iso). (B) Representative BLI images of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. (C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D). (E) Temporal changes in mouse body weight with initial body weight set to 100%. (F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test. (G and H) Ex vivo images of organs and nLuc signal quantified as flux (photons/s) after necropsy. (I) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1. (J and K) Fold changes in cytokine mRNA expression in lung and brain tissues. Data were normalized to Gapdh mRNA. Viral loads (I) and inflammatory cytokine profile (J and K) were determined after necropsy for mice that succumbed to infection at 6 dpi and in mice surviving at 22 dpi. Scale bars in (B) and (G) denote radiance (photons/s/cm2/steradian). Each curve in (C–E) and each data point in (H–K) represents an individual mouse. Data in (B–K) are from two independent experiments, and n = 4–6 per group Grouped data in (C–K) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance for group comparisons to isotype control are shown in black and for those to CV3-25 are shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted. See also Figure S2, S3, and S4. Pre-treatment with CV3-1 or NAb cocktail also prevented the inflammatory cytokine induction (Figures 4J and 4K). In contrast, heightened expression of inflammatory cytokine mRNA was detected in mice that had succumbed to infection in control as well as in CV3-25 cohorts (Figures 4J and 4K). Mice that survived in the CV3-25 cohorts regained body weight and, at 22 dpi, had no detectable virus in organs and base-line inflammatory cytokine induction (Figures 4E–4K). Overall, our data indicated that CV3-1 alone was sufficient to inhibit establishment of virus infection and prophylactically protect K18-hACE2 mice. Histology of brain tissue revealed that NAbs CV3-1 and CV3-25 persisted even at 6 dpi (Figure S3E). However, while CV3-1 localization remained unaltered post-infection because of the absence of viral neuroinvasion in this cohort, CV3-25 localized heavily onto the surface of infected neurons at 6 dpi, consistent with virus infection in the brain (Figure S3E). Additionally, neutrophils infiltrated the brain in mice treated with CV3-25 alone (Figure S3F). These data, together with the imaging analyses, indicated that CV3-1 inhibited virus dissemination rather than neutralizing virus in peripheral tissues. In in vivo dose response studies, just 0.75 mg CV3-1/kg body weight was sufficient to afford 50% efficacy against lethal SARS-CoV-2 infection (Figure S4). These data indicated that CV3-1 is highly potent at halting SARS-CoV-2 at early infection sites and was primarily responsible for protecting the cohort treated with the NAb cocktail.

CV3-1 therapy rescues mice from lethal SARS-CoV-2 infection

We explored whether CV3-1 could also cure mice infected with SARS-CoV-2-nLuc. Mice were administered CV3-1 at 1, 3, and 4 dpi after confirming SARS-CoV-2 infection was established in the lungs (Figure 5 A). Temporal imaging and quantification of nLuc signal revealed that CV3-1, administered at 1 and 3 dpi, controlled virus spread successfully preventing neuroinvasion (Figures 5B–5D, 5G, and 5H). This was corroborated by the absence of weight loss and/or recuperation of body weight, undetectable viral loads, and near-baseline expression of inflammatory cytokine mRNA in tissues (Figures 5E–5K). CV3-1 therapy at 4 dpi, however, could neither control virus spread nor neuroinvasion, resulting in 75% mortality of the cohort (Figures 5B–5F) with loss in body weight and high mRNA expression of pro-inflammatory cytokine and tissue viral loads, similar to the control cohort (Figures 5E–5K). Thus, the therapeutic window for maximal efficacy of CV3-1 treatment extends for up to 3 days from the initiation of SARS-CoV-2 infection.
Figure 5

CV3-1 therapy protects mice from lethal SARS-CoV-2 infection

(A) Experimental design to test in vivo efficacy of CV3-1 administered i.p. (12.5 mg/kg body weight) at indicated times after i.n. challenge of K18-hACE2 mice with SARS-CoV-2 nLuc followed by non-invasive BLI every 2 days. Human IgG1-treated (12.5 mg/kg body weight) mice were the control cohort (Iso).

(B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. Scale bars denote radiance (photons/s/cm2/steradian).

(C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D).

(E) Temporal changes in mouse body weight with initial body weight set to 100%.

(F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test.

(G and H) Ex vivo imaging of organs and quantification of nLuc signal as flux(photons/s) after necropsy.

(I) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1.

(J and K) Fold changes in cytokine mRNA in lung and brain tissues. Data were normalized to Gapdh mRNA in the same sample and to non-infected mice after necropsy.

Viral loads (I) and inflammatory cytokine profile (J and K) were determined after necropsy at 6 dpi. Each curve in (C–E) and each data point in (H–K) represents an individual mouse. CV3-1 treatment times are indicated in (C–E). Data in (B–K) are from two independent experiments, and n = 4–5 per group. Grouped data in (C–K) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance for group comparisons to isotype control are shown in black and for groups under CV3-1 therapies to 4-dpi treatment shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted.

CV3-1 therapy protects mice from lethal SARS-CoV-2 infection (A) Experimental design to test in vivo efficacy of CV3-1 administered i.p. (12.5 mg/kg body weight) at indicated times after i.n. challenge of K18-hACE2 mice with SARS-CoV-2 nLuc followed by non-invasive BLI every 2 days. Human IgG1-treated (12.5 mg/kg body weight) mice were the control cohort (Iso). (B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. Scale bars denote radiance (photons/s/cm2/steradian). (C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D). (E) Temporal changes in mouse body weight with initial body weight set to 100%. (F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test. (G and H) Ex vivo imaging of organs and quantification of nLuc signal as flux(photons/s) after necropsy. (I) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1. (J and K) Fold changes in cytokine mRNA in lung and brain tissues. Data were normalized to Gapdh mRNA in the same sample and to non-infected mice after necropsy. Viral loads (I) and inflammatory cytokine profile (J and K) were determined after necropsy at 6 dpi. Each curve in (C–E) and each data point in (H–K) represents an individual mouse. CV3-1 treatment times are indicated in (C–E). Data in (B–K) are from two independent experiments, and n = 4–5 per group. Grouped data in (C–K) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance for group comparisons to isotype control are shown in black and for groups under CV3-1 therapies to 4-dpi treatment shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted.

CV3-1 and CV3-25 require antibody effector functions for in vivo efficacy

Antibodies may also mediate Fc-dependent recruitment of immune cells to eliminate infected cells (Lu et al., 2018). We explored a role for Fc-mediated effector functions in the in vivo protection afforded by NAbs. We generated mutant versions with leucine to alanine (L234A/L235A, LALA) changes of both NAbs to impair interaction with Fc receptors (Saunders, 2019) and a G236A/S239D/A330L/I332E (GASDALIE) version of CV3-25 known to enhance affinity to FcγRs. (Bournazos et al., 2014). LALA and GASDALIE mutations had no impact on S binding and neutralizing capabilities of NAbs (Figures S5A and S5B). As expected, LALA mutations compromised ADCC and ADCP activities whereas CV3-25 GASDALIE displayed enhanced ADCC activity (Figures S5C and S5D). Biodistribution analyses of AF647-conjugated mutants of CV3-1 and CV3-25 24 h after i.p. administration revealed penetration into most tissues (Figure S5E). We next tested the impact of Fc-effector altering mutations on the prophylactic efficacy of NAbs (Figure S6A). Longitudinal non-invasive BLI and terminal imaging analyses after necropsy, body weight changes, survival, and viral load estimations revealed that LALA mutations had indeed compromised efficacy of both antibodies (Figures S6A–S6I). SARS-CoV-2 replicated better, invaded the brain, and induced body weight loss in cohorts treated with LALA NAbs compared with the corresponding wild-type NAbs (Figures S6D and S6E). Histology at 6 dpi revealed that both LALA NAbs had penetrated the brain tissue during the course of infection and bound the surface of infected neurons (Figures S5F and S5G). At 6 dpi, both the CV3-1 LALA and CV3-25 LALA cohorts had higher tissue viral loads compared with the respective wild-type cohorts, indicating compromised protective efficacy (Figure S6G). Similarly, while tissue viral loads in CV3-25-pretreated mice were reduced by a log, those in CV3-25 LALA-pretreated mice were comparable with those in control cohorts. The delayed mortality and 25% protective efficacy offered by CV3-25 was abrogated, and the protective efficacy of CV3-1 fell from 100% to 62.5% with the corresponding LALA mutants (Figure S6F). There was also an overall increase in the inflammatory cytokine signature in the LALA cohorts (Figures S6H and S6I). The requirement for Fc effector function for CV3-1 prophylaxis was surprising as no infection was detected in CV3-1-pretreated mice both by non-invasive and post-necropsy tissue imaging at 6 dpi (Figure 4). However, examination of tissues at 3 dpi did reveal weak nLuc signals in the nasal cavity and lungs despite the absence of signal by non-invasive imaging (Figures S5H–S5M). PCR analyses also confirmed the presence SARS-CoV-2 N RNA in these tissues at 3 dpi (Figure S5M). Thus, some incoming viruses managed to establish infection despite CV3-1 prophylaxis, and Fc effector functions were required to eliminate infected cells. Correspondingly, Fc-effector-enhanced CV3-25 GASDALIE reduced virus dissemination and provided 100% protective efficacy despite a transient loss in body weight in mice compared with the wild-type CV3-25 (Figures S6B–S6F). Viral titers and inflammatory cytokine mRNAs were also significantly reduced compared with control cohorts (Figures S6G–S6I). We also tested the requirement for Fc-effector functions using mouse-adapted SARS-CoV-2 MA10 in wild-type B6 mice (Dinnon et al., 2020, Leist et al., 2020a), an alternative model where mice succumb because of ARDS. CV3-1 successfully neutralized SARS-CoV-2 MA10 with similar efficacies to the WA1 strain in vitro (IC50 = 0.01837 μg/mL). Though we had to use 5-fold more virus and older B6 mice (12–14 weeks) to induce mortality, we observed a similar Fc effector requirement for CV3-1 to prophylactically protect mice and reduce viral loads and inflammation in lung and brain (Figures S6J–S6O). The requirement for Fc-effector function for CV3-1 prophylaxis suggested that the same should be critical for CV3-1 therapy (Figure 6 A). Indeed, while CV3-1 treatment at 3 dpi controlled infection, cohorts treated with CV3-1 LALA displayed rapidly spreading lung infection and fully succumbed by 6 dpi after an accelerated loss in body weight (Figures 6B–6F). High viral loads and enhanced cytokine mRNA expression in tissues also reflected the failure of the LALA NAbs to treat pre-established viral infection (Figure 6G). Notably, while the lung viral loads in CV3-1 LALA cohorts were similar to that in the control, inflammatory cytokine mRNA in lungs, CXCL10 in particular, was significantly higher (Figures 6H and 6I). Thus, in addition to Fab-mediated neutralizing activity, Fc-FcγR interactions were crucial for efficient clearing of infected cells and curbing a cytokine-storm like phenotype.
Figure 6

Fc-mediated antibody effector functions contribute to the in vivo efficacy of CV3-1

(A) Experimental design to test therapeutic efficacy of NAb CV3-1 and its corresponding leucine to alanine (LALA) mutant administered i.p. (12.5 mg/kg body weight) in K18-hACE2 mice 3 dpi with SARS-CoV-2 nLuc followed by non-invasive BLI every 2 days. Human IgG1-treated (12.5 mg/kg body weight) mice were used as the control cohort (Iso).

(B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. Scale bars denote radiance (photons/s/cm2/steradian).

(C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D).

(E) Temporal changes in mouse body weight with initial body weight set to 100%.

(F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test.

(G) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1.

(H and I) Fold changes in cytokine mRNA expression in lung and brain tissues. Data were normalized to Gapdh mRNA in the same sample and that in non-infected mice after necropsy.

Viral loads (G) and inflammatory cytokine profile (H and I) were determined after necropsy at 6 dpi. Each curve in (C–E) and each data point in (G–I) represents an individual mouse. CV3-1 treatment times are indicated in (C–E). Data in (B–K) are from two independent experiments, and n = 4–5 mice per group. Grouped data in (C–I) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance for group comparisons to isotype control are shown in black and between CV3-1 and CV3-1 LALA-treated cohorts are shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted.

See also Figures 4, S5, and S6.

Fc-mediated antibody effector functions contribute to the in vivo efficacy of CV3-1 (A) Experimental design to test therapeutic efficacy of NAb CV3-1 and its corresponding leucine to alanine (LALA) mutant administered i.p. (12.5 mg/kg body weight) in K18-hACE2 mice 3 dpi with SARS-CoV-2 nLuc followed by non-invasive BLI every 2 days. Human IgG1-treated (12.5 mg/kg body weight) mice were used as the control cohort (Iso). (B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. Scale bars denote radiance (photons/s/cm2/steradian). (C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D). (E) Temporal changes in mouse body weight with initial body weight set to 100%. (F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test. (G) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1. (H and I) Fold changes in cytokine mRNA expression in lung and brain tissues. Data were normalized to Gapdh mRNA in the same sample and that in non-infected mice after necropsy. Viral loads (G) and inflammatory cytokine profile (H and I) were determined after necropsy at 6 dpi. Each curve in (C–E) and each data point in (G–I) represents an individual mouse. CV3-1 treatment times are indicated in (C–E). Data in (B–K) are from two independent experiments, and n = 4–5 mice per group. Grouped data in (C–I) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance for group comparisons to isotype control are shown in black and between CV3-1 and CV3-1 LALA-treated cohorts are shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted. See also Figures 4, S5, and S6.

Monocytes, neutrophils and NK cells contribute to antibody-mediated effector functions in vivo

Fc can recruit NK cells, monocytes, or neutrophils to facilitate clearance of infected cells and shape the cytokine response produced by these cells for enhancing adaptive and cell-mediated immune responses (Lu et al., 2018). When NK cells were depleted prior to CV3-1 prophylaxis (Figures S7J and S7K), weak nLuc signals appeared in lungs of infected mice; however, this did not equal the flux intensities in control cohorts with no CV3-1 treatment (Figures S7A-S7D). They also experienced a temporary but significant decrease in body weight (Figure S7E). Nevertheless, NK cell depletion did not decrease the survival statistics of CV3-1 prophylaxis, and all the mice survived despite marginal increases in viral loads in target organs and significant increases in pro-inflammatory cytokine mRNA expression (Figures S7F–S7K). Thus, while NK cells do contribute to in vivo efficacy of CV3-1, their absence did not compromise the protection offered by CV3-1 prophylaxis. In therapeutic regimen format, when CV3-1 treatment was initiated at 3 dpi (Figure 7 A), depleting NK cells compromised protective efficacy with 25% of the mice succumbing to SARS-CoV-2 infection compared with a 100% survival rate of mice cohorts replete with NK cells (Figures 7B–7F, S7J, and S7K). Depleting Ly6G+ neutrophils and Ly6Chi CD11b+ classical monocytes under CV3-1 therapy resulted in 75% and 80% of the mouse cohorts respectively failing to control SARS-CoV-2 spread, with loss in body weight resulting in death (Figures 7A–G and S7L–S7O) (Mack et al., 2001). This was accompanied by increased viral burden and enhanced expression of CCL2, CXCL10, and Il6 mRNA in target tissues (Figures 7H–7J). Overall, neutrophils, monocytes, and NK cells contributed to the antibody-dependent cure of mice from lethal SARS-CoV-2 infection and were critical for the success of SARS-CoV-2 NAb-directed therapies.
Figure 7

Monocytes, neutrophils and NK cells contribute to antibody effector functions in vivo

(A) Experimental design to test the contribution of NK cells, neutrophils (CD11b+Ly6G+), and monocytes (CCR2+Ly6hi CD11b+) in K18-hACE2 mice therapeutically treated with CV3-1 NAb (i.p.,12.5 mg/kg body weight) at 3 dpi after challenge with SARS-CoV-2-nLuc. αNK1.1, αLy6G, and αCCR2 mAbs (i.p., 20, 20, and 2.5 mg/kg body weight, respectively) were used to deplete NK cells, neutrophils, and monocytes respectively every 48 h starting at 1 dpi. Human and/or rat isotype mAb treated cohorts served as controls (Iso). The mice were followed by non-invasive BLI every 2 days from the start of infection.

(B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. Scale bars denote radiance (photons/s/cm2/steradian).

(C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D).

(E) Temporal changes in mouse body weight with initial body weight set to 100%.

(F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test.

(H) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1.

(I and J) Fold change in cytokine mRNA expression in lung and brain tissues. The data were normalized to Gapdh mRNA in the same sample and that in non-infected mice after necropsy.

Viral loads (H) and inflammatory cytokine profile (I and J) were determined after necropsy at 6 dpi. Each curve in (C–E) and each data point in (H–J) represents an individual mouse. Data in (B–K) are from two independent experiments, and n = 4–5 mice per group.

Grouped data in (C-I) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance: group comparisons to isotype control are shown in black; group comparisons to Iso+CV3-1 within the NK and neutrophil depleted cohorts are shown in purple; group comparisons to Iso+CV3-1 within the monocyte-depleted cohorts are shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted.

See also Figure S7.

Monocytes, neutrophils and NK cells contribute to antibody effector functions in vivo (A) Experimental design to test the contribution of NK cells, neutrophils (CD11b+Ly6G+), and monocytes (CCR2+Ly6hi CD11b+) in K18-hACE2 mice therapeutically treated with CV3-1 NAb (i.p.,12.5 mg/kg body weight) at 3 dpi after challenge with SARS-CoV-2-nLuc. αNK1.1, αLy6G, and αCCR2 mAbs (i.p., 20, 20, and 2.5 mg/kg body weight, respectively) were used to deplete NK cells, neutrophils, and monocytes respectively every 48 h starting at 1 dpi. Human and/or rat isotype mAb treated cohorts served as controls (Iso). The mice were followed by non-invasive BLI every 2 days from the start of infection. (B) Representative images from temporal BLI of SARS-CoV-2-nLuc-infected mice in ventral (v) and dorsal (d) positions. Scale bars denote radiance (photons/s/cm2/steradian). (C and D) Temporal quantification of nLuc signal as flux (photons/s) computed non-invasively in whole body (C) or brain (D). (E) Temporal changes in mouse body weight with initial body weight set to 100%. (F) Kaplan-Meier survival curves of mice statistically compared by log-rank (Mantel-Cox) test. (H) Viral loads (nLuc activity/mg tissue) measured in Vero E6 cells as targets. Non-detectable virus amounts were set to 1. (I and J) Fold change in cytokine mRNA expression in lung and brain tissues. The data were normalized to Gapdh mRNA in the same sample and that in non-infected mice after necropsy. Viral loads (H) and inflammatory cytokine profile (I and J) were determined after necropsy at 6 dpi. Each curve in (C–E) and each data point in (H–J) represents an individual mouse. Data in (B–K) are from two independent experiments, and n = 4–5 mice per group. Grouped data in (C-I) were analyzed by 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. Statistical significance: group comparisons to isotype control are shown in black; group comparisons to Iso+CV3-1 within the NK and neutrophil depleted cohorts are shown in purple; group comparisons to Iso+CV3-1 within the monocyte-depleted cohorts are shown in red. ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001. Mean values ± SD are depicted. See also Figure S7.

Discussion

NAb therapies are being explored to augment current vaccination strategies against SARS-CoV-2 to expand the protection afforded toward emerging variants of concern. However, prior evidence for antibody-dependent enhancement of pathology caused by respiratory viruses like RSV and SARS-CoV-1 warrants careful investigation of antibody effects in vivo before clinical implementation (Iwasaki and Yang, 2020; Klasse and Moore, 2020). We have established a whole-body-imaging approach to follow the dynamics and pathogenesis of SARS-CoV-2 infection in mice to facilitate preclinical studies for identifying effective therapeutic measures against COVID-19. Temporal tracking revealed that SARS-CoV-2 first replicates in the nasal cavity and reaches the lungs at 1 dpi, where the infection expands until 3 dpi before spreading systemically to other organs including the brain at 4 dpi. BLI also helped illuminate how the highly potent human NAbs CV3-1 (targets S RBD) and CV3-25 (binds S2 domain) differed in their ability to protect or treat SARS-CoV-2 infection in the highly susceptible K18-hACE2 mouse model. Imaging analyses revealed widespread distribution of NAb within the animals, including in the nasal cavity and lungs where the virus infection is initially established, and persistence for at least a week after administration—features that were critical for efficacy in this acute model for SARS-CoV-2. BLI also revealed a therapeutic window of 3 dpi for CV3-1 NAb to successfully halt progression of infection from lungs to distal tissues. As previously reported SARS-CoV-2 NAbs have a therapeutic window of 1 dpi (Alsoussi et al., 2020; Hassan et al., 2020; Schäfer et al., 2021; Winkler et al., 2021), CV3-1 displays one of the most potent in vivo efficacy profiles with a broad therapeutic window till 3 dpi. Most protective human NAbs for SARS-CoV-2 tested in animal models and in humans target RBD (Baum et al., 2020; Chen et al., 2021; Rogers et al., 2020; Schäfer et al., 2021; Tortorici et al., 2020; Weinreich et al., 2021), and some NTD-targeting NAbs have also displayed potent antiviral activity in vivo (Li et al., 2021b; Noy-Porat et al., 2021; Voss et al., 2021). We show that the S2-directed CV3-25 NAb also conferred protection, albeit not as potently as CV3-1. This finding is of significance, as emerging variants of concern and of interest display fewer mutations in the S2 subunit compared with the S1. Indeed, CV3-25 can efficiently neutralize the B.1.351 variant, while neutralization by anti-NTD and anti-RBD NAbs was greatly diminished (Li et al., 2021a, Stamatatos et al., 2021) Hence, epitopes in S2 targeted by CV3-25 can be explored to generate future antigenic templates for potent pan-coronavirus antibodies (Sauer et al., 2021). Our data also establish that the neutralizing capacity of NAbs alone is insufficient to garner clinical protection. LALA variants of CV3-1 revealed a crucial role for Fc-mediated interactions in augmenting in vivo protection not only for therapy, but also in prophylaxis—contrasting with a recent report where Fc-effector was involved only during NAb therapy (Winkler et al., 2021). CV3-1 Fc effector functions were needed to eliminate infected cells originating from viruses that eluded neutralization during prophylaxis in both the B6 mouse model with mouse-adapted SARS-CoV-2 MA10 and in K18-hACE2. However, in agreement with a previous study (Winkler et al., 2021), diminishing Fc function of CV3-1 completely compromised its ability to therapeutically cure mice. In addition, body weight loss and inflammatory responses (CCL2, CXCL10, IFN-γ) were aggravated in mice administered CV3-1 LALA therapeutically compared with control cohorts. Thus, the Fc region plays an additional protective role in limiting immunopathology by dampening inflammatory responses. A previously reported, NAb engaged only monocytes for in vivo activity (Winkler et al., 2021). In contrast, CV3-1 engaged Fc-interacting neutrophils, monocytes, and NK cells for its in vivo efficacy. Thus, in addition to potent neutralizing activity, effective engagement of innate immune components contributed to the high in vivo potency of CV3-1. CV3-1 prophylaxis remained protective even at low doses and did not enhance infection. Thus, our data add to the growing body of evidence suggesting absence of an ADE mechanism during SARS-CoV-2 infection in vivo with a protective rather than pathogenic role for Fc effector functions (Schäfer et al., 2021; Winkler et al., 2021). Moreover, elucidation of the major FcγR(s) (FcγRI, FcγRIII, and/or FcγRIV) engaged by NAbs will help design ultrapotent SARS-CoV-2 Nab therapies (Smith et al., 2012). Here, we have taken a step in this direction by introducing GASDALIE mutations to augment FcγR interactions and enhance in vivo potency of CV3-25.

Limitations of the study

We employed K18-hACE2 mice as a model system to study infection and pathogenesis of SARS-CoV-2 and antibody-mediated treatment approaches. Though K18-hACE2 mice display acute lung injury, they succumb to SARS-CoV-2 infection because of neuroinvasion. Recent studies have shown absence of SARS-CoV-2 replication in brain tissues of infected humans (Solomon, 2021; Yang et al., 2021). We therefore also used mouse-adapted SARS-CoV-2 (MA10), which causes mortality in B6 mice through acute lung injury, akin to humans, without invading the central nervous system. As mouse FcγRs display similar affinities to and functionally engage human antibodies, we could confirm that NAbs required Fc-effector functions for potent in vivo efficacy in the MA10 virus challenge model. The expression profile of FcγRs on murine immune cells, however, differs from that in humans, and additional investigations in other animal models are required to confirm a role, if any, for antibody effects such as ADE during SARS-CoV-2 infection (Gorman et al., 2021). In summary, our study demonstrates the utility of the BLI-guided approach to study SARS-CoV-2 pathogenesis and identify effective antiviral therapies for rapid translation to clinical use in humans.

STAR★Methods

Key resources table

Resource availability

Lead contact

Requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Pradeep Uchil (pradeep.uchil@yale.edu).

Materials availability

All unique reagents generated in this study are available from the lead contact with a completed Materials Transfer Agreement.

Experimental model and subject details

Cell Lines

Vero E6 [CRL-1586, American Type Culture Collection (ATCC)] or Vero E6-TMPRSS2 (Craig Wilen, Yale University), were cultured at 37°C in RPMI supplemented with 10% fetal bovine serum (FBS), 10 mM HEPES pH 7.3, 1 mM sodium pyruvate, 1 × non-essential amino acids, and 100 U/mL of penicillin–streptomycin. CEM.NKr, CEM.NKr-Spike, THP-1 and peripheral blood mononuclear cells (PBMCs) were maintained at 37°C under 5% CO2 in RPMI media, supplemented with 10% FBS and 100 U/mL penicillin/ streptomycin. 293T (or HEK293T), 293T-ACE2, CF2Th, TZM-bl and TZM-bl-ACE2 cells were maintained at 37°C under 5% CO2 in DMEM media, supplemented with 5% FBS and 100 U/mL penicillin/ streptomycin. CEM.NKr (NIH AIDS Reagent Program) is a T lymphocytic cell line resistant to NK cell-mediated lysis. CEM.NKr-Spike stably expressing SARS-CoV-2 Spike were used as target cells in ADCC and ADCP assays (Anand et al., 2021). THP-1 monocytic cell line (ATCC) was used as effector cells in the ADCP assay. PBMCs were obtained from healthy donor through leukapheresis and were used as effector cells in ADCC assay. 293T cells (obtained from ATCC) were derived from 293 cells, into which the simian virus 40 T-antigen was inserted. 293T-ACE2 cells stably expressing human ACE2 is derived from 293T cells (Prévost et al., 2020). Cf2Th cells (obtained from ATCC) are SARS-CoV-2-resistant canine thymocytes and were used in the virus capture assay. TZM-bl (NIH AIDS Reagent Program) were derived from HeLa cells and were engineered to contain the Tat-responsive firefly luciferase reporter gene. For the generation of TZM-bl cells stably expressing human ACE2, transgenic lentiviruses were produced in 293T using a third-generation lentiviral vector system. Briefly, 293T cells were co-transfected with two packaging plasmids (pLP1 and pLP2), an envelope plasmid (pSVCMV-IN-VSV-G) and a lentiviral transfer plasmid coding for human ACE2 (pLenti-C-mGFP-P2A-Puro-ACE2) (OriGene). Forty-eight h post-transfection, supernatant containing lentiviral particles was used to infect TZM-bl cells in presence of 5 μg/mL of polybrene. Stably transduced cells were enriched upon puromycin selection. TZM-bl-ACE2 cells were then cultured in medium supplemented with 2 μg/mL of puromycin (Millipore Sigma).

Viruses

The 2019n-CoV/USA_WA1/2019 isolate of SARS-CoV-2 expressing nanoluciferase was obtained from Craig B Wilen, Yale University and generously provided by K. Plante and Pei-Yong Shi, World Reference Center for Emerging Viruses and Arboviruses, University of Texas Medical Branch) (Xie et al., 2020a; Xie et al., 2020b). Mouse-adapted SARS-CoV-2 MA10 was obtained from Craig B. Wilen, Yale University and generously provided by Ralph S Baric, Department of Epidemiology, University of North Carolina at Chapel Hill (Leist et al., 2020a). The SARS-CoV-2 USA-WA1/2020 virus strain used for microneutralization assay was obtained through BEI Resources. Viruses (WA1 or MA10) were propagated in Vero-E6 or Vero E6 TMPRSS2 by infecting them in T150 cm2 flasks at a MOI of 0.1. The culture supernatants were collected after 72 h when cytopathic effects were clearly visible. The cell debris was removed by centrifugation and filtered through 0.45-micron filter to generate virus stocks. Viruses were concentrated by adding one volume of cold (4°C) 4x PEG-it Virus Precipitation Solution (40% (w/v) PEG-8000 and 1.2 M NaCl; System Biosciences) to three volumes of virus-containing supernatant. The solution was mixed by inverting the tubes several times and then incubated at 4°C overnight. The precipitated virus was harvested by centrifugation at 1,500 × g for 60 min at 4°C. The concentrated virus was then resuspended in PBS then aliquoted for storage at −80°C. All work with infectious SARS-CoV-2 was performed in Institutional Biosafety Committee approved BSL3 and A-BSL3 facilities at Yale University School of Medicine or the University of Western Ontario using appropriate positive pressure air respirators and protective equipment.

Ethics statement

PBMCs from healthy individuals (males and females) as a source of effector cells in our ADCC assay were obtained under CRCHUM institutional review board (protocol #19.381). Research adhered to the standards indicated by the Declaration of Helsinki. All participants were adults and provided informed written consent prior to enrollment in accordance with Institutional Review Board approval.

Human antibodies

The human antibodies (CV3-1 and CV3-25) used in the work were isolated from blood of male convalescent donor S006 (male) recovered 41 days after symptoms onset using fluorescent recombinant stabilized Spike ectodomains (S2P) as probes to identify antigen-specific B cells as previously described (Jennewein et al., 2021, Lu et al., 2020, Seydoux et al., 2020).

Mice

All experiments were approved by the Institutional Animal Care and Use Committees (IACUC) of and Institutional Biosafety Committee of Yale University (IBSCYU). All the animals were housed under specific pathogen-free conditions in the facilities provided and supported by Yale Animal Resources Center (YARC). All IVIS imaging, blood draw and virus inoculation experiments were done under anesthesia using regulated flow of isoflurane:oxygen mix to minimize pain and discomfort to the animals. C57BL/6 (B6), heterozygous transgenic B6 mice expressing hACE2 under cytokeratin 18 promoter (K18) were obtained from the Jackson Laboratory. 6–8-week-old male and female mice were used for all the experiments. The heterozygous mice were crossed and genotyped to select heterozygous mice for experiments by using the primer sets recommended by Jackson Laboratory.

Method details

SARS-CoV-2 infection and treatment conditions

For all in vivo experiments, the 6 to 8 weeks male and female mice were intranasally challenged with 1 × 105 FFU in 25-30 μl volume under anesthesia (0.5 - 5% isoflurane delivered using precision Dräger vaporizer with oxygen flow rate of 1 L/min). For mouse-adapted SARS-CoV-2 MA10 challenge experiments, 12–14-week-old male and female mice were used with a challenge dose of 5 × 105 FFU delivered in 25-30 μl volume under anesthesia as above. For NAb treatment using prophylaxis regimen, mice were treated with 250 μg (12.5 mg/kg body weight) of indicated antibodies (CV3-1, CV3-25, CV3-1 LALA, CV3-25 LALA or CV3-25 GASDALIE) or in combination (CV3-1:CV3-25; 6.25 mg/kg body weight of each) via intraperitoneal injection (i.p.) 24 h prior to infection. For neutralizing mAb treatment under therapeutic regimen, mice were treated at 1, 3 and 4 dpi intraperitoneally with CV3-1 or 3 dpi with CV3-1 LALA (12.5 mg/kg body weight). Body weight was measured and recorded daily. The starting body weight was set to 100%. For survival experiments, mice were monitored every 6-12 h starting six days after virus administration. Lethargic and moribund mice or mice that had lost more than 20% of their body weight were sacrificed and considered to have succumbed to infection for Kaplan-Meier survival plots.

Bioluminescence Imaging (BLI) of SARS-CoV-2 infection

All standard operating procedures and protocols for IVIS imaging of SARS-CoV-2 infected animals under ABSL-3 conditions were approved by IACUC, IBSCYU and YARC. All the imaging was carried out using IVIS Spectrum® (PerkinElmer) in XIC-3 animal isolation chamber (PerkinElmer) that provided biological isolation of anesthetized mice or individual organs during the imaging procedure. All mice were anesthetized via isoflurane inhalation (3 - 5% isoflurane, oxygen flow rate of 1.5 L/min) prior and during BLI using the XGI-8 Gas Anesthesia System. Prior to imaging, 100 μL of nanoluciferase substrate, furimazine (NanoGlo™, Promega, Madison, WI) diluted 1:40 in endotoxin-free PBS was retroorbitally administered to mice under anesthesia. The mice were then placed into XIC-3 animal isolation chamber (PerkinElmer) pre-saturated with isothesia and oxygen mix. The mice were imaged in both dorsal and ventral position at indicated days post infection. The animals were then imaged again after euthanasia and necropsy by spreading additional 200 μL of substrate on to exposed intact organs. Infected areas identified by carrying out whole-body imaging after necropsy were isolated, washed in PBS to remove residual blood and placed onto a clear plastic plate. Additional droplets of furimazine in PBS (1:40) were added to organs and soaked in substrate for 1-2 min before BLI. Images were acquired and analyzed with Living Image v4.7.3 in vivo software package (Perkin Elmer Inc). Image acquisition exposures were set to auto, with imaging parameter preferences set in order of exposure time, binning, and f/stop, respectively. Images were acquired with luminescent f/stop of 2, photographic f/stop of 8. Binning was set to medium. Comparative images were compiled and batch-processed using the image browser with collective luminescent scales. Photon flux was measured as luminescent radiance (p/sec/cm2/sr). During luminescent threshold selection for image display, luminescent signals were regarded as background when minimum threshold setting resulted in displayed radiance above non-tissue-containing or known uninfected regions. To determine the pattern of virus spread, the image sequences were acquired every day following administration of SARS-CoV-2-nLuc (i.n). Image sequences were assembled and converted to videos using ImageJ.

Biodistribution of therapeutic neutralizing antibodies using IVIS

Mice were intraperitoneally (i.p) administered with 250 μg of unconjugated (12.5 mg/kg body weight), Alexa Fluor 647 or Alexa Fluor 594-labeled antibodies to non-infected or SARS-CoV-2 infected hACE2 mice. 24 h later all organs (nose, trachea, lung, cervical lymph nodes, brain, liver, spleen, kidney, gut, testis and seminal vesicles) were isolated after necropsy and images were acquired with an IVIS Spectrum® (PerkinElmer) and fluorescence radiance intensities were analyzed with the manufacturer’s Living Image v4.7.3 in vivo software package. Organs were cut into half and weighed. One half was fixed in 4% PFA and processed for cryoimmunohistology. The other half was resuspended in serum-free RPMI and homogenized in a bead beater for determination of antibody concentrations using quantitative ELISA.

Measurement of therapeutic antibody concentrations in organs by quantitative ELISA

Recombinant SARS-CoV-2 RBD and S-6P proteins were used to quantify CV3-1 and CV3-25 antibody concentration, respectively, in mice organs. SARS-CoV-2 proteins (2.5 μg/mL), or bovine serum albumin (BSA) (2.5 μg/mL) as a negative control, were prepared in PBS and were adsorbed to plates (MaxiSorp; Nunc) overnight at 4°C. Coated wells were subsequently blocked with blocking buffer (Tris-buffered saline [TBS], 0.1% Tween20, 2% BSA) for 1 h at room temperature. Wells were then washed four times with washing buffer (TBS 0.1% Tween20). Titrated concentrations of CV3-1 or CV3-25 or serial dilutions of mice organ homogenates were prepared in a diluted solution of blocking buffer (0.1% BSA) and incubated in wells for 90 min at room temperature. Plates were washed four times with washing buffer followed by incubation with HRP-conjugated anti-IgG secondary Abs (Invitrogen) (diluted in a diluted solution of blocking buffer [0.4% BSA]) for 1 h at room temperature, followed by four washes. HRP enzyme activity was determined after the addition of a 1:1 mix of Western Lightning oxidizing and luminol reagents (Perkin Elmer Life Sciences). Light emission was measured with a LB941 TriStar luminometer (Berthold Technologies). Signal obtained with BSA was subtracted for each organ. Titrated concentrations of CV3-1 or CV3-25 were used to establish a standard curve of known antibody concentrations and the linear portion of the curve was used to infer the antibody concentration in tested organ homogenates.

Cryo-immunohistology of organs

Organs were isolated after necropsy and fixed in 1X PBS containing freshly prepared 4% PFA for 12 h at 4°C. They were then washed with PBS, cryoprotected with 10, 20 and 30% ascending sucrose series, snap-frozen in Tissue-Tek® O.C.T.™ compound and stored at −80°C. The nasal cavity was snap-frozen in 8% gelatin prepared in 1X PBS and stored at −80°C. 10 - 30 μm thick frozen sections were permeabilized with 0.2% Triton X-100 and treated with Fc receptor blocker (Innovex Biosciences) before staining with indicated conjugated primary, secondary antibodies or Phalloidin in PBS containing 2% BSA containing 10% fetal bovine serum. Stained sections were treated with TrueVIEW Autofluorescence Quenching Kit (Vector Laboratories) and mounted in VECTASHIELD® Vibrance Antifade Mounting Medium. Images were acquired using Nikon W1 spinning disk confocal microscope equipped with 405, 488, 561 and 647 nm laser lines or EVOS M7000 imaging system. The images were processed using Nikon Elements AR version 4.5 software (Nikon Instruments Inc, Americas) and figures assembled with Photoshop CC and Illustrator CC (Adobe Systems, San Jose, CA, USA).

Focus forming assay

Titers of virus stocks was determined by standard plaque assay. Briefly, the 4 × 105 Vero-E6 cells were seeded on 12-well plate. 24 h later, the cells were infected with 200 μL of serially diluted virus stock. After 1 h, the cells were overlayed with 1ml of pre-warmed 0.6% Avicel (RC-581 FMC BioPolymer) made in complete RPMI medium. Plaques were resolved at 48 h post infection by fixing in 10% paraformaldehyde for 15 min followed by staining for 1 h with 0.2% crystal violet made in 20% ethanol. Plates were rinsed in water to visualize plaques.

Measurement of viral burden

Indicated organs (nasal cavity, brain, lungs from infected or uninfected mice were collected, weighed, and homogenized in 1 mL of serum free RPMI media containing penicillin-streptomycin and homogenized in 2 mL tube containing 1.5 mm Zirconium beads with BeadBug 6 homogenizer (Benchmark Scientific, TEquipment Inc). Virus titers were measured using three highly correlative methods. Frist, the total RNA was extracted from homogenized tissues using RNeasy plus Mini kit (QIAGEN Cat # 74136), reverse transcribed with iScript advanced cDNA kit (Bio-Rad Cat #1725036) followed by a SYBR Green Real-time PCR assay for determining copies of SARS-CoV-2 N gene RNA using primers SARS-CoV-2 N F: 5¢-ATGCTGCAATCGTGCTACAA-3¢ and SARS-CoV-2 N R: 5¢-GACTGCCGCCTCTGCTC-3¢. Second, serially diluted clarified tissue homogenates were used to infect Vero-E6 cell culture monolayer. The titers per gram of tissue were quantified using standard plaque forming assay described above. Third, we used nanoluciferase activity as a shorter surrogate for plaque assay. Infected cells were washed with PBS and then lysed using 1X Passive lysis buffer. The lysates transferred into a 96-well solid white plate (Costar Inc) and nanoluciferase activity was measured using Tristar multiwell Luminometer (Berthold Technology, Bad Wildbad, Germany) for 2.5 s by adding 20 μl of Nano-Glo® substrate in nanoluc assay buffer (Promega Inc, WI, USA). Uninfected monolayer of Vero cells treated identically served as controls to determine basal luciferase activity to obtain normalized relative light units. The data were processed and plotted using GraphPad Prism 8 v8.4.3.

Analyses of signature inflammatory cytokines mRNA expression

Brain and lung samples were collected from mice at the time of necropsy. Approximately, 20 mg of tissue was suspended in 500 μL of RLT lysis buffer, and RNA was extracted using RNeasy plus Mini kit (QIAGEN Cat # 74136), reverse transcribed with iScript advanced cDNA kit (Bio-Rad Cat #1725036). To determine mRNA copy numbers of signature inflammatory cytokines, multiplex qPCR was conducted using iQ Multiplex Powermix (Bio Rad Cat # 1725848) and PrimePCR Probe Assay mouse primers FAM-GAPDH, HEX-IL6, TEX615-CCL2, Cy5-CXCL10, and Cy5.5-IFNgamma. The reaction plate was analyzed using CFX96 touch real time PCR detection system. Scan mode was set to all channels. The PCR conditions were 95°C 2 min, 40 cycles of 95°C for 10 s and 60°C for 45 s, followed by a melting curve analysis to ensure that each primer pair resulted in amplification of a single PCR product. mRNA copy numbers of Il6, Ccl2, Cxcl10 and Ifng in the cDNA samples of infected mice were normalized to Gapdh mRNA with the formula ΔCt(target gene) = Ct(target gene)-Ct(Gapdh). The fold increase was determined using 2-ΔΔCt method comparing treated mice to uninfected controls.

Antibody depletion of immune cell subsets

For evaluating the effect of NK cell depletion during CV3-1 prophylaxis, anti-NK1.1 (clone PK136; 12.5 mg/kg body weight) or an isotype control mAb (BioXCell; clone C1.18.4; 12.5 mg/kg body weight) was administered to mice by i.p. injections every 2 days starting at 48 h before SARS-CoV-2-nLuc challenge till 8 dpi. The mice were bled after two days of antibody depletion, necropsy or at 10 dpi (surviving mice) for analyses. To evaluate the effect of NK cell and neutrophil depletion during CV3-1 therapy, anti-NK1.1 (clone PK136; 12.5 mg/kg body weight) or anti-Ly6G (clone: 1A8; 12.5 mg/kg body weight) was administered to mice by i.p injection every two days starting at 1 dpi respectively. Rat IgG2a mAb (BioXCell; clone C1.18.4; 12.5 mg/kg body weight) was used as isotype control. The mice were sacrificed and bled at 10 dpi for analyses. For evaluating the effect of monocyte depletion on CV3-1 therapy, anti-CCR2 (clone MC-21; 2.5 mg/kg body weight) (Mack et al., 2001) or an isotype control mAb (BioXCell; clone LTF-2; 2.5 mg/kg body weight) was administered to mice by i.p injection every two days starting at 1 dpi. The mice were sacrificed and bled 2-3 days after antibody administration or at 10 dpi to ascertain depletion of desired population.

Flow Cytometric Analyses

For analysis of immune cell depletion, peripheral blood was collected before infection and on day of harvest. Erythrocytes were lysed with RBC lysis buffer (BioLegend Inc), PBMCs fixed with 4% PFA and quenched with PBS containing 0.1M glycine. PFA-fixed cells PBMCs were resuspended and blocked in Cell Staining buffer (BioLegend Inc.) containing Fc blocking antibody against CD16/CD32 (BioLegend Inc) before staining with antibodies. NK cells were identified as CD3-NK1.1+ cells using PE/Cy7 anti-mouse CD3(17A2) and APC anti-mouse NK-1.1 (PK136). Neutrophils were identified as CD45+CD11b+Ly6G+ cells using APC Rat anti-mouse CD45 (30-F11), PE anti-mouse CD11b (M1/70) APC/Cy7 and anti-mouse Ly-6G (1A8). Ly6Chi monocytes were identified as CD45+CD11b+Ly6Chi cells using APC Rat anti-mouse CD45 (30-F11), PE anti-mouse CD11b (M1/70) and APC/Cy7 anti-mouse Ly-6C (HK1.4). Data were acquired on an Accuri C6 (BD Biosciences) and were analyzed with Accuri C6 software. FlowJo software (Treestar) was used to generate FACS plot shown in Figure S7. 100,000 – 200,000 viable cells were acquired for each sample.

Sample Preparation for Electron Microscopy

Lung, brain and testis tissue samples from hACE2 transgenic mice challenged intranasally with SARS-CoV-2-nLuc (1 × 105 FFU; 6 dpi) were imaged after necropsy using bioluminescence imaging (IVIS, Perkin Elmer), pruned to isolate regions with high nLuc activity and immediately pre-fixed with 3% glutaraldehyde, 1% paraformaldehyde, 5% sucrose in 0.1 M sodium cacodylate trihydrate to render them safe for handling outside of BSL3 containment. Viral infections of cultured cells were conducted at the UVM BSL-3 facility using an approved Institutional Biosafety protocol. SARS-CoV-2 strain 2019-nCoV/USA_USA-WA1/2020 (WA1; generously provided by K. Plante, World Reference Center for Emerging Viruses and Arboviruses, University of Texas Medical Branch) and propagated in African green monkey kidney (Vero E6) cells. Vero E6 cells were maintained in complete Dulbecco’s Modified Eagle Medium (DMEM; Thermo Fisher, Cat. #11965–092) containing 10% fetal bovine serum (GIBCO, Thermo-Fisher, Cat. #16140–071), 1% HEPES Buffer Solution (15630–130), and 1% penicillin–streptomycin (Thermo Fisher, Cat. #15140–122). Cells were grown in a humidified incubator at 37°C with 5% CO2. Vero E6 cells were seeded into six well dishes and infected with SARS-CoV-2 at a multiplicity of infection of 0.01 for 48 h before fixing and preparing for electron microscopy. Cells were pre-fixed with 3% glutaraldehyde, 1% paraformaldehyde, 5% sucrose in 0.1M sodium cacodylate trihydrate, removed from the plates and further prepared by high-pressure freezing and freeze-substitution as described below. Tissues samples were further cut to ∼0.5 mm3 blocks and cultured cells were gently pelleted. Both samples were rinsed with fresh cacodylate buffer and placed into brass planchettes (Type A; Ted Pella, Inc., Redding, CA) prefilled with 10% Ficoll in cacodylate buffer. The tissues were covered with the flat side of a Type-B brass planchette and rapidly frozen with an HPM-010 high-pressure freezing machine (Leica Microsystems, Vienna Austria). The frozen samples were transferred under liquid nitrogen to cryotubes (Nunc) containing a frozen solution of 2.5% osmium tetroxide, 0.05% uranyl acetate in acetone. Tubes were loaded into an AFS-2 freeze-substitution machine (Leica Microsystems) and processed at −90°C for 72 h, warmed over 12 h to −20°C, held at that temperature for 6 h, then warmed to 4°C for 2 h. The fixative was removed, and the samples rinsed 4 x with cold acetone, following which they were infiltrated with Epon-Araldite resin (Electron Microscopy Sciences, Port Washington PA) over 48 h. The spleen tissue was flat-embedded between two Teflon-coated glass microscope slides. Resin was polymerized at 60°C for 48 h.

Electron Microscopy and Dual-Axis Tomography

Flat-embedded tissue samples or portions of cell pellets were observed with a stereo dissecting microscope and appropriate regions were extracted with a microsurgical scalpel and glued to the tips of plastic sectioning stubs. Semi-thin (150-200 nm) serial sections were cut with a UC6 ultramicrotome (Leica Microsystems) using a diamond knife (Diatome, Ltd. Switzerland). Sections were placed on formvar-coated copper-rhodium slot grids (Electron Microscopy Sciences) and stained with 3% uranyl acetate and lead citrate. Gold beads (10 nm) were placed on both surfaces of the grid to serve as fiducial markers for subsequent image alignment. Sections were placed in a dual-axis tomography holder (Model 2040, E.A. Fischione Instruments, Export PA) and imaged with a Tecnai T12-G2 transmission electron microscope operating at 120 KeV (ThermoFisher Scientific) equipped with a 2k x 2k CCD camera (XP1000; Gatan, Inc. Pleasanton CA). Tomographic tilt-series and large-area montaged overviews were acquired automatically using the SerialEM software package (Mastronarde, 2005, 2008; Mastronarde and Held, 2017). For tomography, samples were tilted ± 62° and images collected at 1° intervals. The grid was then rotated 90° and a similar series taken about the orthogonal axis. Tomographic data was calculated, analyzed, and modeled using the IMOD software package (Mastronarde, 2005, 2008; Mastronarde and Held, 2017) on iMac Pro and MacPro computers (Apple, Inc., Cupertino, CA). Montaged projection overviews were used to illustrate spatial perspective, identify cell types and frequency within the tissue sections. High-resolution 3D electron tomography was used to confirm virus particles and characterize virus-containing compartments within infected cells.

Identification and Characterization of SARS-CoV-2 Virions in infected cells and tissues

Particles resembling virions were examined in 3D by tomography to determine their identity. Presumptive SARS-CoV-2 virions were identified from tomographic reconstructions of tissue samples by observing structures resembling virions described in cryo-electron tomography studies of purified SARS-CoV-2 and of SARS-CoV-2 in infected cells (Ke et al., 2020; Klein et al., 2020; Turoňová et al., 2020; Yao et al., 2020). These were compared to identified virions within SARS-CoV-2–infected cultured Vero E6 cells that had been prepared for EM by the same methodology (Figure 2O-Q). We used the following criteria to positively identify SARS-CoV-2 virions in tissues: (i) Structures that were spherical in 3D with ∼60-120 nM diameters and were not continuous with other adjacent structures, (ii) Spherical structures with densities corresponding to a distinct membrane bilayer, internal puncta consistent with ribonucleoproteins (Yao et al., 2020), and densities corresponding to surface spikes on the external peripheries of the spheres. In further characterization of virions, we noted that the inner vesicles of multivesicular bodies (MVBs) have been mis-identified as SARS-CoV-2 by electron microscopy (Calomeni et al., 2020). We therefore compared measurements of MVB inner vesicles and presumptive coronavirus virions from what we identified as intracellular exit compartments within the same tomogram (data not shown) with our previous tomographic reconstructions of MVBs (He et al., 2008; Ladinsky et al., 2012). We distinguished virions inside of cytoplasmic exit compartments from the inner vesicles of MVBs based on differences in size (MVB inner virions are generally smaller in diameter than coronaviruses) and the presence of surface spikes and internal puncta (MVB inner vesicles do not present surface spikes or internal puncta).

Immunoelectron microscopy

SARS-CoV-2 infected tissues were extracted and immediately fixed with 4% paraformaldehyde, 5% sucrose in 0.1M cacodylate buffer. Tissues were cut into ∼0.5 mm3 pieces and infiltrated into 2.1M sucrose in 0.1M cacodylate buffer for 24 h. Individual tissue pieces were placed onto aluminum cryosectioning stubs (Ted Pella, Inc.) and rapidly frozen in liquid nitrogen. Thin (100 nm) cryosections were cut with a UC6/FC6 cryoultramicrotome (Leica Microsystems) using a cryo-diamond knife (Diatome, Ltd., Switzerland) at −110°C. Sections were picked up with a wire loop in a drop of 2.3M sucrose in 0.1M cacodylate buffer and transferred to Formvar-coated, carbon-coated, glow-discharged 100-mesh copper/rhodium grids (Electron Microscopy Sciences). Grids were incubated 1 h with 10% calf serum in PBS to block nonspecific antibody binding, then incubated 2 h with anti-S antiserum (Cohen et al., 2021). Mosaic nanoparticles elicit cross-reactive immune responses to zoonotic coronaviruses in mice (Cohen et al., 2021). diluted 1:500 in PBS with 5% calf serum. Grids were rinsed (4x 10’) with PBS then labeled for 2 h with 10 nm gold conjugated goat anti-mouse secondary antibody (Ted Pella, Inc.). Grids were again rinsed (4x 10’) with PBS, then 3x with distilled water and negatively stained with 1% uranyl acetate in 1% methylcellulose (Sigma) for 20’. Grids were air-dried in wire loops and imaged as described for ET.

Mutagenesis of human antibodies

Site-directed mutagenesis was performed on plasmids expressing CV3-1 and CV3-25 antibody heavy chains in order to introduce the LALA mutations (L234A/L235A) or the GASDALIE mutations (G236A/S239D/A330L/I332E) using to the QuickChange II XL site-directed mutagenesis protocol (Stratagene).

Protein expression and purification

FreeStyle 293F cells (Thermo Fisher Scientific) were grown in FreeStyle 293F medium (Thermo Fisher Scientific) to a density of 1x106 cells/mL at 37°C with 8% CO2 with regular agitation (150 rpm). Cells were transfected with a plasmid coding for recombinant stabilized SARS-CoV-2 ectodomain (S-6P; obtained from Dr. Jason S. McLellan) or SARS-CoV-2 RBD (Beaudoin-Bussières et al., 2020) using ExpiFectamine 293 transfection reagent, as directed by the manufacturer (Thermo Fisher Scientific). One-week post-transfection, supernatants were clarified and filtered using a 0.22 μm filter (Thermo Fisher Scientific). The recombinant S-6P was purified by strep-tactin resin (IBA) following by size-exclusion chromatography on Superose 6 10/300 column (GE Healthcare) in 10 mM Tris pH 8.0 and 200 mM NaCl (SEC buffer). RBD was purified by Ni-NTA column (Invitrogen) and gel filtration on Hiload 16/600 Superdex 200pg using the same SEC buffer. Purified proteins were snap-frozen at liquid nitrogen and stored in aliquots at 80°C until further use. Protein purities were confirmed as one single-band on SDS-PAGE.

SARS-CoV-2 Spike ELISA (enzyme-linked immunosorbent assay)

The SARS-CoV-2 Spike ELISA assay used was recently described (Beaudoin-Bussières et al., 2020; Prévost et al., 2020). Briefly, recombinant SARS-CoV-2 S-6P and RBD proteins (2.5 μg/mL), or bovine serum albumin (BSA) (2.5 μg/mL) as a negative control, were prepared in PBS and were adsorbed to plates (MaxiSorp; Nunc) overnight at 4°C. Coated wells were subsequently blocked with blocking buffer (Tris-buffered saline [TBS] containing 0.1% Tween20 and 2% BSA) for 1 h at room temperature. Wells were then washed four times with washing buffer (TBS containing 0.1% Tween20). CV3-1, CV3-25 and CR3022 mAbs (50 ng/mL) were prepared in a diluted solution of blocking buffer (0.1% BSA) and incubated with the RBD-coated wells for 90 min at room temperature. Plates were washed four times with washing buffer followed by incubation with HRP-conjugated anti-IgG secondary Abs (Invitrogen) (diluted in a diluted solution of blocking buffer [0.4% BSA]) for 1 h at room temperature, followed by four washes. HRP enzyme activity was determined after the addition of a 1:1 mix of Western Lightning oxidizing and luminol reagents (Perkin Elmer Life Sciences). Light emission was measured with a LB941 TriStar luminometer (Berthold Technologies). Signal obtained with BSA was subtracted for each plasma and was then normalized to the signal obtained with CR3022 mAb present in each plate.

Flow cytometry analysis of cell-surface Spike staining

Spike expressors of human coronaviruses SARS-CoV-2, SARS-CoV-1, MERS-CoV, OC43, NL63 and 229E were reported elsewhere (Hoffmann et al., 2020; Hoffmann et al., 2013; Hofmann et al., 2005; Park et al., 2016; Prévost et al., 2020). Expressors of HKU1 Spike and SARS-CoV-2 S2 N-His were purchased from Sino Biological. Using the standard calcium phosphate method, 10 μg of Spike expressor and 2 μg of a green fluorescent protein (GFP) expressor (pIRES2-eGFP) was transfected into 2 × 106 293T cells. At 48 h post transfection, 293T cells were stained with CV3-1 and CV3-25 antibodies (5 μg/mL), using cross-reactive anti-SARS-CoV-1 Spike CR3022 or mouse anti-His tag (Sigma-Aldrich) as positive controls. Alexa Fluor-647-conjugated goat anti-human IgG (H+L) Abs (Invitrogen) and goat anti-mouse IgG (H+L) Abs (Invitrogen) were used as secondary antibodies. The percentage of transfected cells (GFP+ cells) was determined by gating the living cell population based on the basis of viability dye staining (Aqua Vivid, Invitrogen). Samples were acquired on a LSRII cytometer (BD Biosciences) and data analysis was performed using FlowJo v10 (Tree Star).

Virus capture assay

The SARS-CoV-2 virus capture assay was previously reported (Ding et al., 2020). Briefly, pseudoviral particles were produced by transfecting 2 × 106 HEK293T cells with pNL4.3 Luc R-E- (3.5 μg), plasmids encoding for SARS-CoV-2 Spike or SARS-CoV-1 Spike (3.5 μg) protein and VSV-G (pSVCMV-IN-VSV-G, 1 μg) using the standard calcium phosphate method. Forty-eight h later, supernatant-containing virion was collected, and cell debris was removed through centrifugation (1,500 rpm for 10 min). To immobilize antibodies on ELISA plates, white MaxiSorp ELISA plates (Thermo Fisher Scientific) were incubated with 5 μg/mL of antibodies in 100 μL phosphate-buffered saline (PBS) overnight at 4°C. Unbound antibodies were removed by washing the plates twice with PBS. Plates were subsequently blocked with 3% bovine serum albumin (BSA) in PBS for 1 h at room temperature. After two washes with PBS, 200 μL of virus-containing supernatant was added to the wells. After 4 to 6 h incubation, supernatants were removed and the wells were washed with PBS 3 times. Virus capture by any given antibody was visualized by adding 1 × 104 SARS-CoV-2-resistant Cf2Th cells per well in complete DMEM medium. Forty-eight h post-infection, cells were lysed by the addition of 30 μL of passive lysis buffer (Promega) and three freeze-thaw cycles. An LB941 TriStar luminometer (Berthold Technologies) was used to measure the luciferase activity of each well after the addition of 100 μL of luciferin buffer (15 mM MgSO4, 15 mM KH2PO4 [pH 7.8], 1 mM ATP, and 1 mM dithiothreitol) and 50 μL of 1 mM D-luciferin potassium salt (ThermoFisher Scientific).

Surface plasmon resonance (SPR)

All surface plasmon resonance assays were performed on a Biacore 3000 (GE Healthcare) with a running buffer of 10 mM HEPES pH 7.5 and 150 mM NaCl, supplemented with 0.05% Tween 20 at 25°C. The binding affinity and kinetics to the SARS-CoV-2 spike (S) trimer (SARS-CoV-2 S HexaPro [S-6P]) (Hsieh et al., 2020) and SARS-CoV-2 S2 ectodomain (baculovirus produced his-tagged S2(686-1213) from BEI Resources (NR-53799) were evaluated using monovalent CV3-1 and CV3-25 Fab. Fabs were generated by standard papain digestion (Thermo Fisher) and purified by Protein A affinity chromatography and gel filtration. His-tagged SARS-CoV-2 S-6P or SARS-CoV-2 S2 ectodomain was immobilized onto a Ni-NTA sensor chip at ∼1000 and ∼630 RU response units (RUs), respectively. Two-fold serial dilutions of CV3-1 or CV3-25 Fab were injected in a concentration range of 1.56-100 nM over the SARS-CoV-2 S-6P and CV3-25 Fab in a range of 3.125 to 200 to nM over the SARS-CoV-2 S2. After each cycle the Ni-NTA sensor chip was regenerated with a wash step of 0.1 M EDTA and reloaded with 0.1 M nickel sulfate followed by the immobilization of fresh antigens for the next cycle. The binding kinetics of SARS-CoV-2 RBD and CV3-1 were obtained in a format where CV3-1 IgG was immobilized onto a Protein A sensor chip (Cytiva) with ∼300 (RUs) and serial dilutions of SARS-CoV-2 RBD were injected with concentrations ranging from 1.56 to 50 nM. The protein A chip was regenerated with a wash step of 0.1 M glycine pH 2.0 and reloaded with IgG after each cycle. All sensograms were corrected by subtraction of the corresponding blank channel and the kinetic constant determined using a 1:1 Langmuir model with the bimolecular interaction analysis (BIA) evaluation software (GE Healthcare). Goodness of fit of the curve was evaluated by the Chi2 value with a value below 3 considered acceptable

Pseudovirus neutralization assay

Target cells were infected with single-round luciferase-expressing lentiviral particles. Briefly, 293T cells were transfected by the calcium phosphate method with the pNL4.3 R-E- Luc plasmid (NIH AIDS Reagent Program) and a plasmid encoding for SARS-CoV-2 Spike at a ratio of 5:4. Two days post-transfection, cell supernatants were harvested and stored at –80°C until use. 293T-ACE2 (Prévost et al., 2020) target cells were seeded at a density of 1 × 104 cells/well in 96-well luminometer-compatible tissue culture plates (Perkin Elmer) 24 h before infection. Recombinant viruses in a final volume of 100 μL were incubated with the indicated semi-log diluted antibody concentrations for 1 h at 37°C and were then added to the target cells followed by incubation for 48 h at 37°C; cells were lysed by the addition of 30 μL of passive lysis buffer (Promega) followed by one freeze-thaw cycle. An LB941 TriStar luminometer (Berthold Technologies) was used to measure the luciferase activity of each well after the addition of 100 μL of luciferin buffer (15 mM MgSO4, 15 mM KH2PO4 [pH 7.8], 1 mM ATP, and 1 mM dithiothreitol) and 50 μL of 1 mM d-luciferin potassium salt. The neutralization half-maximal inhibitory dilution (IC50) represents the plasma dilution to inhibit 50% of the infection of 293T-ACE2 cells by recombinant viruses bearing the SARS-CoV-2 S glycoproteins.

Microneutralization assay

A microneutralization assay for SARS-CoV-2 serology was performed as previously described (Amanat et al., 2020). Experiments were conducted with the SARS-CoV-2 USA-WA1/2020 virus strain (obtained from BEI resources). One day prior to infection, 2x104 Vero E6 cells were seeded per well of a 96 well flat bottom plate and incubated overnight at 37°C under 5% CO2 to permit cell adherence. Titrated antibody concentrations were performed in a separate 96 well culture plate using MEM supplemented with penicillin (100 U/mL), streptomycin (100 mg/mL), HEPES, L-Glutamine (0.3 mg/mL), 0.12% sodium bicarbonate, 2% FBS (all from Thermo Fisher Scientific) and 0.24% BSA (EMD Millipore Corporation). In a Biosafety Level 3 laboratory (ImPaKT Facility, Western University), 103 TCID50/mL of SARS-CoV-2 USA-WA1/2020 live virus was prepared in MEM + 2% FBS and combined with an equivalent volume of respective antibody dilutions for one h at room temperature. After this incubation, all media was removed from the 96 well plate seeded with Vero E6 cells and virus:antibody mixtures were added to each respective well at a volume corresponding to 600 TCID50 per well and incubated for one h further at 37°C. Both virus only and media only (MEM + 2% FBS) conditions were included in this assay. All virus:plasma supernatants were removed from wells without disrupting the Vero E6 monolayer. Each antibody concentration (100 μL) was added to its respective Vero E6-seeded well in addition to an equivalent volume of MEM + 2% FBS and was then incubated for 48 h. Media was then discarded and replaced with 10% formaldehyde for 24 h to cross-link Vero E6 monolayer. Formaldehyde was removed from wells and subsequently washed with PBS. Cell monolayers were permeabilized for 15 min at room temperature with PBS + 0.1% Triton X-100, washed with PBS and then incubated for one h at room temperature with PBS + 3% non-fat milk. An anti-mouse SARS-CoV-2 nucleocapsid protein (Clone 1C7, Bioss Antibodies) primary antibody solution was prepared at 1 mg/mL in PBS + 1% non-fat milk and added to all wells for one h at room temperature. Following extensive washing with PBS, an anti-mouse IgG HRP secondary antibody solution was formulated in PBS + 1% non-fat milk. One-h post-incubation, wells were washed with PBS, SIGMAFAST OPD developing solution (Millipore Sigma) was prepared as per manufacturer’s instructions and added to each well for 12 min. Dilute HCl (3.0 M) was added to quench the reaction and the optical density at 490 nm of the culture plates was immediately measured using a Synergy LX multi-mode reader and Gen5 microplate reader and imager software (BioTek).

SARS-CoV-2 MA10 neutralization assay

Serial two-fold dilutions of CV3-1 antibody (100 to 0.0078125 mg/mL) were prepared in triplicates in a volume of 50 μL. 30 μL of MA10 virus (1.2 × 104 FFU/mL stock) was mixed with diluted antibody and incubated for 1 h at 37°C. The virus-antibody mixes were then added to Vero E6 cells (7.5 × 105 cells/well) seeded 24 h earlier, in 6-well tissue culture plates and allowed to interact with cells for 1 h. The cells were then overlayed with 1 mL of pre-warmed 0.6% Avicel (RC-581 FMC BioPolymer) made in complete RPMI medium. Plaques were resolved after 48 h by fixing cells in 10% paraformaldehyde for 15 min followed by staining for 1 h with 0.2% crystal violet made in 20% ethanol. Plates were rinsed in water to visualize FFU. The FFU counts from virus samples without antibody incubation were set to 100% (50 - 60 FFU/well). IC50 was calculated by plotting the log (antibody dilution) versus normalized FFUs and using non-linear fit option in GraphPad Prism.

Cell-to-cell fusion assay

To assess cell-to-cell fusion, 2 × 106 293T cells were co-transfected with plasmid expressing HIV-1 Tat (1μg) and a plasmid expressing SARS-CoV-2 Spike (4 μg) using the calcium phosphate method. Two days after transfection, Spike-expressing 293T (effector cells) were detached with PBS-EDTA 1mM and incubated for 1 h with indicated amounts of CV3-1 and/or CV3-25 NAbs at 37°C and 5% CO2. Subsequently, effector cells (1 × 104) were added to TZM-bl-ACE2 target cells that were seeded at a density of 1 × 104 cells/well in 96-well luminometer-compatible tissue culture plates 24 h before the assay. Cells were co-incubated for 6 h at 37°C and 5% CO2, after which they were lysed by the addition of 40 μL of passive lysis buffer (Promega) and one freeze-thaw cycles. An LB 941 TriStar luminometer (Berthold Technologies) was used to measure the luciferase activity of each well after the addition of 100 μL of luciferin buffer (15 mM MgSO4, 15 mM KH2PO4 [pH 7.8], 1 mM ATP, and 1 mM dithiothreitol) and 50 μL of 1 mM d-luciferin potassium salt (ThermoFisher Scientific).

Antibody dependent cellular cytotoxicity (ADCC) assay

For evaluation of anti-SARS-CoV-2 ADCC activity, parental CEM.NKr CCR5+ cells were mixed at a 1:1 ratio with CEM.NKr-Spike cells. These cells were stained for viability (AquaVivid; Thermo Fisher Scientific) and a cellular dye (cell proliferation dye eFluor670; Thermo Fisher Scientific) and subsequently used as target cells. Overnight rested PBMCs were stained with another cellular marker (cell proliferation dye eFluor450; Thermo Fisher Scientific) and used as effector cells. Stained effector and target cells were mixed at a 10:1 ratio in 96-well V-bottom plates. Titrated concentrations of CV3-1 and CV3-25 mAbs were added to the appropriate wells. The plates were subsequently centrifuged for 1 min at 300xg, and incubated at 37°C, 5% CO2 for 5 h before being fixed in a 2% PBS-formaldehyde solution. ADCC activity was calculated using the formula: [(% of GFP+ cells in Targets plus Effectors)-(% of GFP+ cells in Targets plus Effectors plus antibody)]/(% of GFP+ cells in Targets) x 100 by gating on transduced live target cells. All samples were acquired on an LSRII cytometer (BD Biosciences) and data analysis performed using FlowJo v10 (Tree Star).

Antibody dependent cellular phagocytosis (ADCP) assay

The ADCP assay was performed using CEM.NKr-Spike cells as target cells that were fluorescently labeled with a cellular dye (cell proliferation dye eFluor450). THP-1 cells were used as effector cells and were stained with another cellular dye (cell proliferation dye eFluor670). Stained target and effector cells were mixed at a 5:1 ratio in 96-well U-bottom plates. Titrated concentrations of CV3-1 and CV3-25 mAbs were added to the appropriate wells. After an overnight incubation at 37 °C and 5% CO2, cells were fixed with a 2% PBS-formaldehyde solution. Antibody-mediated phagocytosis was determined by flow cytometry, gating on THP-1 cells that were double-positive for efluor450 and efluor670 cellular dyes. All samples were acquired on an LSRII cytometer (BD Biosciences) and data analysis performed using FlowJo v10 (Tree Star).

smFRET imaging of S on SARS-CoV-2 VLPs (S-MEN particles)

S-MEN coronavirus-like particles carrying SARS-CoV-2 spikes were prepared similarly as previously described (Lu et al., 2020). The peptides tags-carrying spike plasmid (pCMV-S Q3-1 A4-1: Q3 - GQQQLG; A4 - DSLDMLEM) was used to make S-MEN coronavirus-like particles. Plasmids encoding wildtype pCMV-S, dual-tagged pCMV-S Q3-1 A4-1, pLVX-M, pLVX-E, and pLVX-N were transfected into 293T cells at a ratio of 20:1:21:21:21. Using this very diluted ratio of tagged-S versus wildtype S, the vast majority of S-MEN particles carry wildtype spikes. For the rest of the virus particles containing tagged S, more than 95% S trimers will have one dual-tagged protomer and two wildtype protomers within a trimer. Using this strategy, we generated S-MEN particles with an average of one dual-tagged S protomer for conjugating FRET-paired fluorophores among predominantly wildtype S trimers presented on VLP surface. S-MEN particles were harvested 40 h post-transfection, filtered with a 0.45 μm pore size filter, and partially purified using ultra-centrifugation at 25,000 rpm for 2 h through a 15% sucrose cushion made in PBS. S-MEN particles were then re-suspended in 50 mM pH 7.5 HEPES buffer, labeled with Cy3B(3S) and Cy5 derivative (LD650-CoA) and purified through an optiprep gradient as previously described (Lu et al., 2019; Lu et al., 2020; Munro et al., 2014) smFRET images of S-MEN particles was acquired on a home-built prism-based total internal reflection fluorescence (TIRF) microscope, as described previously (Lu et al., 2020). smFRET data analysis was performed using MATLAB (MathWorks)-based customized SPARTAN software package (Juette et al., 2016). The conformational effects of 50 ug/mL CV3-1 and CV3-25 antibodies on SARS-CoV-2 spike were tested by pre-incubating fluorescently labeled viruses for 60 min at 37°C before imaging in the continued presence of the antibodies. During smFRET imaging, fluorescently-labeled S-MEN particles were monitored for 80 s, where fluorescence from Cy3B(3S) and LD650-CoA labeled on S-MEN particles was recorded simultaneously at 25 frames per second for 80 s. Donor (Cy3B(3S)) and acceptor (LD650-CoA) fluorescence intensity traces were extracted after subtracting background signals and correcting cross-talks. The energy transfer efficiency (FRET) traces were generated from fluorescence intensity traces, according to FRET = IA/(γID+IA), where ID and IA are the fluorescence intensities of donor and acceptor, respectively, γ is the correlation coefficient compromising the discrepancy in quantum yields and detection efficiencies of two fluorophores. FRET is sensitive to changes in distances between the donor and the acceptor over time, ultimately translating into the conformational profiles and dynamics of S on S-MEN particles. S-MEN particles that contain incomplete FRET-paired fluorophores or more than one FRETing pairs of donor and acceptor on a single virus particle were automatically filtered from virus pools for further analysis. FRET traces of fluorescently-labeled S-MEN particles which meet the criteria of sufficient signal-to-noise ratio and anti-correlated fluctuations in donor and acceptor fluorescence intensity are indicative of live molecules. These FRET traces, indicated the number of traces in Figure 3, were then compiled into FRET histograms in Figure 3. Each FRET histogram was fitted into the sum of four Gaussian distributions in MATLAB, where each Gaussian distribution represents one conformation and the area under each Gaussian curve estimates the occupancy.

Schematics

Schematics for showing experimental design in figures and graphical abstract were created with BioRender.com.

Quantification and statistical analysis

Data were analyzed and plotted using GraphPad Prism software (La Jolla, CA, USA). Statistical significance for pairwise comparisons were derived by applying non-parametric Mann-Whitney test (two-tailed). To obtain statistical significance for survival curves, grouped data were compared by log-rank (Mantel-Cox) test. To obtain statistical significance for grouped data we employed 2-way ANOVA followed by Dunnett’s or Tukey’s multiple comparison tests. p values lower than 0.05 were considered statistically significant. P values were indicated as ∗, p < 0.05; ∗∗, p < 0.01; ∗∗∗, p < 0.001; ∗∗∗∗, p < 0.0001.
REAGENT or RESOURCESOURCEIDENTIFIER
Antibodies

Fc block anti mouse-CD16/CD32 (93)BioLegend IncCat # 101302RRID: AB_312801
PE/Cy7 anti-mouse CD3(17A2)BioLegend IncCat # 100219RRID: AB_1732068
PE anti-mouse CD11b (M1/70)BioLegend IncCat # 101207RRID: AB_312790
APC/Cy7 anti-mouse Ly-6C (HK1.4)BioLegend IncCat #128025RRID: AB_10643867
APC anti-mouse NK-1.1 (PK136)BioLegend IncCat # 108709RRID: AB_313396
Alexa Fluor® 488 anti-mouse Ly-6G (Clone 1A8)BioLegend IncCat # 127626RRID: AB_2561340
Alexa Fluor® 647 anti-mouse Ly-6C (Clone HK1.4)BioLegend IncCat # 128010RRID: AB_1236550
APC Rat anti-mouse CD45 (30-F11)BD-PharmingenCat # 559864RRID: AB_398672
Anti-CCR2 (clone MC-21) for monocyte depletion(Mack et al., 2001)Matthias.Mack@klinik.uni-regensburg.de
InVivoMAb anti-mouse LY6G (clone: 1A8) for neutrophil depletionBio X CellCat # BE0075-1RRID: AB_1107721
InVivoMAb rat IgG2b isotype control, clone LTF-2 for monocyte depletionBio X CellCat # BE0090RRID: AB_1107780
InVivoMAb anti-mouse NK1.1 (clone PK136)Bio X CellCat # BE0036RRID: AB_1107737
InVivoMab rat IgG2a clone C1.18.4; Isotype controls for NK and neutrophil depletionBio X CellCat # BE0085RRID: AB_1107771
InVivoMAb human IgG1 isotype controlBio X CellCat # BE0297RRID: AB_2687817
Cross-reactive SARS-CoV-1 monoclonal antibody CR3022(ter Meulen et al., 2006)RRID: AB_2848080
CV3-1 (IgG1)Finzi Lab, Université de Montréal(Jennewein et al., 2021)
CV3-25 (IgG1)Finzi Lab, Université de Montréal(Jennewein et al., 2021)
CV3-1 LALA (IgG1)Finzi Lab, Université de MontréalN/A
CV3-25 LALA (IgG1)Finzi Lab, Université de MontréalN/A
CV3-25 GASDALIE (IgG1)Finzi Lab, Université de MontréalN/A
Mouse monoclonal anti-polyHistidine antibodySigma-AldrichCat # H1029;RRID: AB_260015
Goat anti-Human IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor 647InvitrogenCat # A-21445;RRID: AB_2535862
Goat anti-Mouse IgG (H+L) Cross-Adsorbed Secondary Antibody, Alexa Fluor 647InvitrogenCat # A-21235;RRID: AB_2535804
Goat anti-Human IgG Fc Cross-Adsorbed Secondary Antibody, HRPInvitrogenCat # A18823;RRID: AB_2535600
Mouse anti-SARS-CoV-2 nucleocapsid (clone 1C7)Bioss AntibodiesCat # bsm-41411M;RRID: AB_2893114
Alexa Fluor® 647 anti-MAP2 Antibody (clone SMI 52)BioLegend IncCat # 801806;RRID: AB_2721422
Alexa Fluor® 488 anti-GFAP Antibody (clone 2E1.E9)BioLegend IncCat # 644704;RRID: AB_2566109
Alexa Fluor® 594 anti-mouse CD68 Antibody (clone FA-11)BioLegend IncCat # 137020;RRID: AB_2563305
Alexa Fluor® 488 anti-mouse/human CD11b Antibody (clone M1/70)Biolegend IncCat # 101219;RRID: AB_493545
Rabbit anti-SARS-CoV-2 nucleocapsidNovusCat # NB100-56576; RRID: AB_838838
Rabbit anti-human ACE2 polyclonal antibodySigma-AldrichCat # HPA000288; RRID: AB_1078160

Deposited data

Raw data used to generate all graphs shown in Figures; Supplementary VideosThis studyMendeley Data, V3, https://doi.org/10.17632/2wwzg4pb8n.3.

Bacterial and virus strains

SARS-CoV-2-nLuc (strain 2019-nCoV/USA_WA1/2020)Craig B Wilen (Yale University)K. Plante and Pei-Yong Shi, World Reference Center for Emerging Viruses and Arboviruses, University of Texas Medical Branch)
SARS-CoV-2 USA-WA1/2020BEI resourcesCat # NR-52281
SARS-CoV-2-MA10 (mouse-adapted virus)Craig B Wilen (YaleUniversity)Ralph Baric, UNC, School of Medicine (Dinnon et al., 2020; Leist et al., 2020a)

Biological samples

Primary human peripheral blood mononuclear cells (PBMCs)FRQS AIDS networkN/A

Chemicals, peptides, and recombinant proteins

Liberase TL Research GradeSigma-AldrichCat# 5401020001
DNAse I recombinant, RNAse-freeRocheRef # 04716728001
Gibco™ RPMI 1640 mediumThermo Fisher ScientificCat # 11875093
Gibco™ Dulbecco’s modified Eagle’s medium (DMEM)Thermo Fisher ScientificCat # 11965118
Gibco™ MEM Non-essential amino acid (NEAA) solutionThermo Fisher ScientificCat # 11140050
Gibco™ Penicillin-streptomycin solution (10,000 U/ml)Thermo Fisher ScientificCat # 15140122
Gibco™ Dulbecco’s Phosphate Buffered Saline (DPBS)Thermo Fisher ScientificCat # 14190144
Gibco™ L-Glutamine (200mM)Thermo Fisher ScientificCat # 25030081
Gibco™ 0.05% Trypsin-EDTA, phenol redThermo Fisher ScientificCat # 25300054
Fetal bovine serumAtlanta BiologicalsCat # S11550
RBC Lysis Buffer (10X)BioLegend IncCat # 420301
Bovine Serum Albumin (BSA)Sigma-AldrichCat# A9647-100G CAS: 9048-46-8
AccutaseBioLegend IncCat # 423201
0.05% Trypsin-EDTA (1X)Life TechnologiesCat # 25300-054
K3 EDTA 15% SolutionFisher ScientificCat # BD 366450
Sodium pyruvate (100 mM)Life technologiesRef # 11360-070
2-MercaptoethanolSigma-AldrichCat # M3148
L-Glutamine (200mM)Life technologiesRef # 25030-081
Red blood cell lysis buffer-Hybri-MaxSigma-AldrichCat # R7757-100ML
Tris-buffered saline (TBS)Thermo Fisher ScientificCat # BP24711
Western Lightning Plus-ECL, EnhancedChemiluminescence SubstratePerkin Elmer Life SciencesCat # NEL105001EA
Tween20Thermo Fisher ScientificCat # BP337-500
Passive lysis bufferPromegaCat # E1941
Triton-X 100 t-octyl phenoxy polyethoxyethanolAmerican BioanalyticalCat # AB02025-00500CAS: 9002-93-1
Paraformaldehyde (PFA)Electron Microscopy SciencesCat # 19200CAS: 30525-89-4
Rat serumStemcell BiotechnologiesCat # 13551
L-lysine MonohydrochlorideSigma-AldrichCat # L1262
Sodium (meta)periodateSigma-AldrichCat # 30323-100GCAS: 7790-28-5
Sucrose/ α-D-glucopyranosyl-β-D-fructofuranosideamericanBIORef # AB01900-01000CAS: 57-50-1
Tissue-Tek O.C.T CompoundSakuraCat # 4583
Fc receptor blockerInnovexCat # NB335-5
Superforst® Plus microscope slidesThermo ScientificCat # 4951PLUS-001
GlutaraldehydeElectron MicroscopySciencesCat # 16220CAS: 111-30-8
Sodium cacodylate trihydrateElectron MicroscopySciencesCat #12300
Osmium tetroxideElectron Microscopy SciencesCat #19110
Uranyl acetateElectron Microscopy SciencesCat #22400
Acetone, EM-Grade, Glass-DistilledElectron Microscopy SciencesCat #10015
Epon-Araldite resinElectron Microscopy SciencesCat #13940
Lead citrateElectron Microscopy SciencesCat #17800CAS: 512-26-5
Gold beads (10 nm)Ted Pella, Inc.Cat. #15703-1
Dimethyl sulfoxide (DMSO)Sigma-AldrichCat # D2650-5X5MLCAS: 67-68-5
Sodium azideSigma-AldrichCat # S-8032EC No: 247-852-1
Sodium phosphate, Monobasic, Monohydrate, Crystal (NaH2PO4·H2O)J.T.BakerCat # 3818-01CAS: 10049-21-5
Sodium phosphate, Dibasic, Anhydrous (Na2HPO4)J.T.BakerCat # 3828-01CAS: 7558-79-4
GlycineAmerican BioanalyticalCat # AB00730-01000CAS: 56-40-6
The PEG-it Virus precipitation solution (5X)System BioscienceCat # LV810A-1
Avicel® Pharma GradeFMCCat # RC-581 NF10.20944/preprints202005.0264.v1
Vector® TrueView® Autofluorescence Quenching KitVector LaboratoriesSP-8400
Puromycin dihydrochlorideMillipore SigmaCat # P8833
D-Luciferin potassium saltThermo Fisher ScientificCat # L2916
Formaldehyde 37%Thermo Fisher ScientificCat # F79-500
LIVE/DEAD Fixable AquaVivid Cell StainThermo Fisher ScientificCat # L34957
Cell proliferation dye eFluor670Thermo Fisher ScientificCat # 65-0840-85
Cell proliferation dye eFluor450Thermo Fisher ScientificCat # 65-0842-85
FreeStyle 293F expression mediumThermoFisher ScientificCat # 12338002
ExpiFectamine 293 transfection reagentThermoFisher ScientificCat # A14525
Protein A Sepharose CL-4BCytivaCat # 17096303
Ni-NTA agaroseInvitrogenCat # R90110
Papain-agarose resinThermoFisher ScientificCat # 20341
SARS-CoV-2 S2 ectodomain C-His tag proteinBEI ResourcesNR-53799
SIGMAFAST OPDEMD MilliporeCat # P9187

Critical commercial assays

Nano-Glo Luciferase Assay System (nanoluc substrate)PromegaCat # N1120
Pierce™ Gaussia Luciferase Glow Assay KitThermoFisher ScientificCat # 16160
Mix-n-Stain CF 647 Antibody Labeling Kit (50-100μg)Sigma-AldrichCat # MX647S100 SIGMA
Mix-n-Stain CF 488A Antibody Labeling Kit (50-100μg)Sigma-AldrichCat # MX488AS100 SIGMA
Alexa Fluor 594 Protein Labeling KitInvitrogenCat # A10239
Alexa Fluor 647 Protein Labeling KitInvitrogenCat # A20173
Strep-Tactin®XT 4FlowIBA LifesciencesCat # 2-5998-000
KAPA SYBR FAST qPCR Master Mix (2X) KitKAPA BiosystemsCat # KK4600 and KK4601
Ambion DNase I (RNase-free)ThermoFisher ScientificCat # AM2222
RNeasy Mini Kit (50)QiagenCat #/ID 74104
iScript advanced cDNA kitBio RadCat #1725038
iQ Multiplex PowermixBio RadCat # 1725848
iScript™ cDNA Synthesis KitBio RadCat # 95047-100

Experimental models: Cell lines

Vero E6 (female, Chlorocebus sabaeus)ATCCCat # CRL-1586; RRID: CVCL_0574
Vero E6-TMPRSS2 (female, Chlorocebus sabaeus)Craig B. Wilen, Yale UniversityN/A
HEK293 (female, Homo sapiens)ATCCCat # CRL-1573; RRID: CVCL_0045
HEK293T (female, Homo sapiens)ATCCCat # CRL-3216; RRID: CVCL_0063
Expi293F cells (female, Homo sapiens)ThermoFisher ScientificCat # A14527; RRID: CVCL_D615
293T-ACE2 (female, Homo sapiens)(Prévost et al., 2020)N/A
Cf2Th (female, Canis lupus familiaris)ATCCCat # CRL-1430; RRID: CVCL_3363
CEM.NKr-CCR5+ (female, Homo sapiens)NIH AIDS Reagent ProgramCat # 4376; RRID: CVCL_X623
CEM.NKr-Spike (female, Homo sapiens)(Anand et al., 2021)N/A
TZM-bl (female, Homo sapiens)NIH AIDS Reagent ProgramCat # 8129; RRID: CVCL_B478
TZM-bl-ACE2 (female, Homo sapiens)This paperN/A
THP-1 (male, Homo sapiens)ATCCCat # TIB-202; RRID: CVCL_0006
FreeStyle 293F cells (female, Homo sapiens)ThermoFisher ScientificCat # R79007; RRID: CVCL_D603

Experimental models: Organisms/strains

C57BL/6J (B6) (males and females)The Jackson LaboratoryThe Jackson Laboratory Stock No: 000664RRID: IMSR_JAX:000664
B6.Cg-Tg(K18-ACE2)2Prlmn/J (males and females)The Jackson LaboratoryStock No: 034860RRID:IMSR_JAX:034860

Oligonucleotides

SARS-CoV-2 N F: 5’-ATGCTGCAATCGTGCTACAA-3’Yale School of Medicine, W. M. Keck Foundation, Oligo Synthesis ResourceN/A
SARS-CoV-2 N R: 5’-GACTGCCGCCTCTGCTC-3’Yale School of Medicine, W. M. Keck Foundation, Oligo Synthesis ResourceN/A
Human IgG1 L234A-L235A F:5’-CAGCACCTGAAGCCGCGGGGGGACCGTC-3’Integrated DNA TechnologiesN/A
Human IgG1 L234A-L235A R:5’-GACGGTCCCCCCGCGGCTTCAGGTGCTG-3’Integrated DNA TechnologiesN/A
Human IgG1 G236A-S239D F:5’-CTCCTGGCGGGACCGGATGTCTTCCTCTTC-3’Integrated DNA TechnologiesN/A
Human IgG1 G236A-S239D R:5’-GAAGAGGAAGACATCCGGTCCCGCCAGGAG-3’Integrated DNA TechnologiesN/A
Human IgG1 A330L-I332E F:5’-GCCCTCCCACTCCCCGAAGAGAAAACCATC-3’Integrated DNA TechnologiesN/A
Human IgG1 A330L-I332E R:5’-GATGGTTTTCTCTTCGGGGAGTGGGAGGGC-3’Integrated DNA TechnologiesN/A
FAM-GapdhBio RadCat # 12001950
HEX-IL6Bio RadCat # 10031228
TEX615-CCL2Bio RadCat # 10031234
Cy5-CXCL10Bio RadCat # 10031231
Cy5.5-IFNgBio RadCat # 10031237
Transgene Forward: GAC CCC TGA GGG TTT CAT ATA GYale School of Medicine, W. M. Keck Foundation, Oligo Synthesis Resource#53437, Genotyping primers for K18-hACE2 mice. The Jackson Laboratory
Common: CAC CAA CAC AGT TTC CCA ACYale School of Medicine, W. M. Keck Foundation, Oligo Synthesis Resource#53438, Genotyping primers for K18-hACE2 mice. The Jackson Laboratory
Wildtype forward: AAG TTG GAG AAG ATG CTG AAA GAYale School of Medicine, W. M. Keck Foundation, Oligo Synthesis Resource#53439, Genotyping primers for K18-hACE2 mice. The Jackson Laboratory

Recombinant DNA

pCMV-SARS-CoV-2 Spike D614G Δ19This paperN/A
pCMV-SARS-CoV-2 SpikeSino BiologicalCat # VG40589-UT
pDNA3.1-Ngene(Zhang et al., 2020)N/A
pDNA3.1-Egene(Zhang et al., 2020)N/A
pDNA3.1-Mgene(Zhang et al., 2020)N/A
pCMV delta R8.2AddgeneCat #12263
HIV-1-inGlucMothes Lab, Yale UniversityN/A
pLVX-MDr. Nevan KroganN/A
pLVX-EDr. Nevan KroganN/A
pLVX-NDr. Nevan KroganN/A
pCG1-SARS-CoV-2 Spike(Hoffmann et al., 2020)N/A
pCG1-SARS-CoV-1 Spike(Hoffmann et al., 2013)N/A
pCAGGS-229E Spike(Hofmann et al., 2005)N/A
pCAGGS-NL63 Spike(Hofmann et al., 2005)N/A
pCAGGS-OC43 Spike(Prévost et al., 2020)N/A
pCMV3-HKU1 SpikeSino BiologicalCat # VG40021-UT
pcDNA3.1-MERS-CoV Spike(Park et al., 2016)N/A
pαH-SARS-CoV-2 Spike HexaProDr Jason S. McLellan, University of TexasN/A
pcDNA3.1-SARS-CoV-2 RBD(Beaudoin-Bussières et al., 2020)N/A
pCMV3-SARS-CoV-2 S2 N-His tagSino BiologicalCat # VG40590-NH
pNL4.3 R-E- LucNIH AIDS Reagent ProgramCat # 3418
pSVCMV-IN-VSV-G(Lodge et al., 1997)N/A
Lentiviral packaging plasmids (pLP1, pLP2)(Liu et al., 2013)N/A
pLenti-C-mGFP-P2A-Puro-ACE2OriGeneCat # RC208442L4
pIRES2-eGFP vectorClontechCat # 6029-1
pTT vector for expression and production of CV3-1 and CV3-25Yves Durocher, Canada Research CouncilN/A
pLTR-Tat(Finzi et al., 2010)N/A

Software and algorithms

Accuri CSampler softwareBD BiosciencesRRID: SCR_014422
FlowJo v10Treestarhttps://www.flowjo.com/; RRID: SCR_008520
Nikon-Elements AR Analysis v4.13 and Acquisition v4.5NikonRRID: SCR_014329
Adobe Photoshop CCAdobe Systems IncRRID: SCR_014199
Adobe Illustrator CCAdobe Systems IncRRID: SCR_010279
BioRender (schematics in figures)BioRender.comRRID: SCR_018361
CFX MaestroTM Software (qPCR analyses)Bio-rad IncRRID: SCR_018064
Graphpad Prism v9.0.1GraphPad Softwarehttps://www.graphpad.com/RRID: SCR_002798
SerialEM software packageDavid N. Mastronarde, University of Colorado Boulderhttps://bio3d.colorado.edu/SerialEM/
IMOD software packageDavid N. Mastronarde, University of Colorado Boulderhttps://bio3d.colorado.edu/imod/RRID: SCR_003297
ChimeraUniversity of California, San Franciscohttp://plato.cgl.ucsf.edu/chimeraRRID: SCR_004097
Gen5 microplate reader and imager softwareBiotekRRID:SCR_017317
BIAevaluation softwareGE HealthcareCat # BR-1005-97RRID:SCR_015936

Other

TriStar LB 941 Multimode Microplate Reader and LuminometerBERTHOLD TECHNOLOGIES GmbH & Co. KGMothes and Finzi Lab
BD Biosciences C6 Accuri Flow Cytometer,BD BiosciencesYale, MMPATH, Central FacilityRRID: SCR_019591
BD LSR II Flow CytometerBD Bioscienceshttps://medicine.yale.edu/immuno/flowcore/; RRID: SCR_002159
Leica Cryostat CM1950LeicaCM1950 (Iwasaki Lab; Yale University)RRID: SCR_018061
Nikon W1 Spinning Disk Confocal microscopeNikon Instruments Inc, AmericasYale West Campus Imaging Core
HPM-010 high-pressure freezing machineBal-Tec/ABRA, SwitzerlandN/A
AFS-2 freeze-substitution machineLeica MicrosystemsN/A
Stereo dissecting microscopeNikon Instruments Inc, AmericasModel SMZ645
UC6 ultramicrotomeLeica MicrosystemsRRID: SCR_020226
Transmission electron microscopeThermoFisherScientificTecnai T12-G2 (Caltech)
2k x 2k CCD cameraGatan, IncXP1000
C1000 Touch thermal cyclerBio-RadRRID: SCR_019688
CFX Connect™ Real-Time PCR Detection SystemBio-RadRRID: SCR_018064
Nanodrop Spectrophotometer ND-1000ThermoFisher ScientificRRID: SCR_016517
27G × ½’’ insulin syringe with needleTERUMOCat # SS05M2713
31G insulin syringeBD BiosciencesCat # 328468
70 μm Nylon cell strainerFALCONCat # 352350
Acrodisc 25 mm Syringe Filter w/0.45 μm HT Tuffryn MembranePALL Life SciencesCat # 4184
Superfrost Plus Microscope SlidesThermo ScientificCat # 4951PLUS-001
96-well white plates for luciferase assaysCostarCat # 3917
Accu-Edge High Profile Microtome BladesSAKURACat # 4685
Microcover glasses 1 ounce No.1VWRCat # 48393 106
Tissue-Tek CryomoldSAKURARef # 4557
Brass planchettesTed Pella, Inc.Type A and Type B
CryotubesThermo Scientific NuncCat # 340711
Teflon-coated glass microscope slidesN/A
Microsurgical scalpelElectron Microscopy SciencesCat # 72047-15
Plastic sectioning stubsHome MadeN/A
Diamond knifeDiatome, LtdN/A
Formvar-coated copper-rhodium slot gridsElectron Microscopy SciencesN/A
Dual-axis tomography holderE.A. Fischione Instruments, Export PAModel 2040
Polystyrene Round-bottom TubeFALCONRef # 352058
Optical Flat 8-Cap Strips for 0.2 ml tube stripes/platesBio-RadCat # TCS0803
Individual PCR tubes 8-tube Strip, clearBio-RadCat # TLS0801
ThermalGrid Rigid Strip PCR tubesDenville Scientific INCRef # C18064
96 well U bottom plateFALCONRef # 353077
XIC-3 animal isolation chamberPerkinElmerN/A
Perkin Elmer IVIS Spectrum In-Vivo Imaging SystemPerkinElmerYale University ABSL-3 facility. RRID:SCR_018621
RAS-4 Rodent Anesthesia SystemPerkinElmerCLS146737
QUANTIFOIL® holey carbon gridsElectron Microscopy SciencesCat # Q250-CR1
Synergy LX multi-mode readerBiotekRRID: SCR_019763
Superose 6 10/300 GLGE HealthcareCat # 17517201
Hiload 16/600 Superdex 200pgGE HealthcareCat # 28989335
Biacore 3000GE HealthcareRRID: SCR_019954
Protein A sensor chipCytivaCat # 29127558
Ni-NTA sensor chipCytivaCat # BR100034
  86 in total

1.  Broadly neutralizing hemagglutinin stalk-specific antibodies require FcγR interactions for protection against influenza virus in vivo.

Authors:  David J DiLillo; Gene S Tan; Peter Palese; Jeffrey V Ravetch
Journal:  Nat Med       Date:  2014-01-12       Impact factor: 53.440

2.  Automated tilt series alignment and tomographic reconstruction in IMOD.

Authors:  David N Mastronarde; Susannah R Held
Journal:  J Struct Biol       Date:  2016-07-19       Impact factor: 2.867

3.  Structures and distributions of SARS-CoV-2 spike proteins on intact virions.

Authors:  Zunlong Ke; Joaquin Oton; Kun Qu; Mirko Cortese; Vojtech Zila; Lesley McKeane; Takanori Nakane; Jasenko Zivanov; Christopher J Neufeldt; Berati Cerikan; John M Lu; Julia Peukes; Xiaoli Xiong; Hans-Georg Kräusslich; Sjors H W Scheres; Ralf Bartenschlager; John A G Briggs
Journal:  Nature       Date:  2020-08-17       Impact factor: 49.962

4.  The functions of SARS-CoV-2 neutralizing and infection-enhancing antibodies in vitro and in mice and nonhuman primates.

Authors:  Dapeng Li; Robert J Edwards; Kartik Manne; David R Martinez; Alexandra Schäfer; S Munir Alam; Kevin Wiehe; Xiaozhi Lu; Robert Parks; Laura L Sutherland; Thomas H Oguin; Charlene McDanal; Lautaro G Perez; Katayoun Mansouri; Sophie M C Gobeil; Katarzyna Janowska; Victoria Stalls; Megan Kopp; Fangping Cai; Esther Lee; Andrew Foulger; Giovanna E Hernandez; Aja Sanzone; Kedamawit Tilahun; Chuancang Jiang; Longping V Tse; Kevin W Bock; Mahnaz Minai; Bianca M Nagata; Kenneth Cronin; Victoria Gee-Lai; Margaret Deyton; Maggie Barr; Tarra Von Holle; Andrew N Macintyre; Erica Stover; Jared Feldman; Blake M Hauser; Timothy M Caradonna; Trevor D Scobey; Wes Rountree; Yunfei Wang; M Anthony Moody; Derek W Cain; C Todd DeMarco; ThomasN Denny; Christopher W Woods; Elizabeth W Petzold; Aaron G Schmidt; I-Ting Teng; Tongqing Zhou; Peter D Kwong; John R Mascola; Barney S Graham; Ian N Moore; Robert Seder; Hanne Andersen; Mark G Lewis; David C Montefiori; Gregory D Sempowski; Ralph S Baric; Priyamvada Acharya; Barton F Haynes; Kevin O Saunders
Journal:  bioRxiv       Date:  2021-02-18

5.  Human monoclonal antibody combination against SARS coronavirus: synergy and coverage of escape mutants.

Authors:  Jan ter Meulen; Edward N van den Brink; Leo L M Poon; Wilfred E Marissen; Cynthia S W Leung; Freek Cox; Chung Y Cheung; Arjen Q Bakker; Johannes A Bogaards; Els van Deventer; Wolfgang Preiser; Hans Wilhelm Doerr; Vincent T Chow; John de Kruif; Joseph S M Peiris; Jaap Goudsmit
Journal:  PLoS Med       Date:  2006-07       Impact factor: 11.069

6.  A Potently Neutralizing Antibody Protects Mice against SARS-CoV-2 Infection.

Authors:  Wafaa B Alsoussi; Jackson S Turner; James B Case; Haiyan Zhao; Aaron J Schmitz; Julian Q Zhou; Rita E Chen; Tingting Lei; Amena A Rizk; Katherine M McIntire; Emma S Winkler; Julie M Fox; Natasha M Kafai; Larissa B Thackray; Ahmed O Hassan; Fatima Amanat; Florian Krammer; Corey T Watson; Steven H Kleinstein; Daved H Fremont; Michael S Diamond; Ali H Ellebedy
Journal:  J Immunol       Date:  2020-06-26       Impact factor: 5.426

7.  Analysis of a SARS-CoV-2-Infected Individual Reveals Development of Potent Neutralizing Antibodies with Limited Somatic Mutation.

Authors:  Emilie Seydoux; Leah J Homad; Anna J MacCamy; K Rachael Parks; Nicholas K Hurlburt; Madeleine F Jennewein; Nicholas R Akins; Andrew B Stuart; Yu-Hsin Wan; Junli Feng; Rachael E Whaley; Suruchi Singh; Michael Boeckh; Kristen W Cohen; M Juliana McElrath; Janet A Englund; Helen Y Chu; Marie Pancera; Andrew T McGuire; Leonidas Stamatatos
Journal:  Immunity       Date:  2020-06-08       Impact factor: 31.745

8.  Therapeutic antibodies, targeting the SARS-CoV-2 spike N-terminal domain, protect lethally infected K18-hACE2 mice.

Authors:  Tal Noy-Porat; Adva Mechaly; Yinon Levy; Efi Makdasi; Ron Alcalay; David Gur; Moshe Aftalion; Reut Falach; Shani Leviatan Ben-Arye; Shirley Lazar; Ayelet Zauberman; Eyal Epstein; Theodor Chitlaru; Shay Weiss; Hagit Achdout; Jonathan D Edgeworth; Raghavendra Kikkeri; Hai Yu; Xi Chen; Shmuel Yitzhaki; Shmuel C Shapira; Vered Padler-Karavani; Ohad Mazor; Ronit Rosenfeld
Journal:  iScience       Date:  2021-04-26

9.  An Infectious cDNA Clone of SARS-CoV-2.

Authors:  Xuping Xie; Antonio Muruato; Kumari G Lokugamage; Krishna Narayanan; Xianwen Zhang; Jing Zou; Jianying Liu; Craig Schindewolf; Nathen E Bopp; Patricia V Aguilar; Kenneth S Plante; Scott C Weaver; Shinji Makino; James W LeDuc; Vineet D Menachery; Pei-Yong Shi
Journal:  Cell Host Microbe       Date:  2020-04-13       Impact factor: 21.023

10.  Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail.

Authors:  Johanna Hansen; Alina Baum; Kristen E Pascal; Vincenzo Russo; Stephanie Giordano; Elzbieta Wloga; Benjamin O Fulton; Ying Yan; Katrina Koon; Krunal Patel; Kyung Min Chung; Aynur Hermann; Erica Ullman; Jonathan Cruz; Ashique Rafique; Tammy Huang; Jeanette Fairhurst; Christen Libertiny; Marine Malbec; Wen-Yi Lee; Richard Welsh; Glen Farr; Seth Pennington; Dipali Deshpande; Jemmie Cheng; Anke Watty; Pascal Bouffard; Robert Babb; Natasha Levenkova; Calvin Chen; Bojie Zhang; Annabel Romero Hernandez; Kei Saotome; Yi Zhou; Matthew Franklin; Sumathi Sivapalasingam; David Chien Lye; Stuart Weston; James Logue; Robert Haupt; Matthew Frieman; Gang Chen; William Olson; Andrew J Murphy; Neil Stahl; George D Yancopoulos; Christos A Kyratsous
Journal:  Science       Date:  2020-06-15       Impact factor: 47.728

View more
  56 in total

Review 1.  Vaccinal antibodies: Fc antibody engineering to improve the antiviral antibody response and induce vaccine-like effects.

Authors:  Dhuha H Nawab
Journal:  Hum Vaccin Immunother       Date:  2021-11-29       Impact factor: 3.452

2.  Fc-engineered antibody therapeutics with improved anti-SARS-CoV-2 efficacy.

Authors:  Rachel Yamin; Andrew T Jones; Hans-Heinrich Hoffmann; Alexandra Schäfer; Kevin S Kao; Rebecca L Francis; Timothy P Sheahan; Ralph S Baric; Charles M Rice; Jeffrey V Ravetch; Stylianos Bournazos
Journal:  Nature       Date:  2021-09-21       Impact factor: 69.504

3.  SARS-CoV-2 Accessory Protein ORF8 Decreases Antibody-Dependent Cellular Cytotoxicity.

Authors:  Guillaume Beaudoin-Bussières; Ariana Arduini; Catherine Bourassa; Halima Medjahed; Gabrielle Gendron-Lepage; Jonathan Richard; Qinghua Pan; Zhen Wang; Chen Liang; Andrés Finzi
Journal:  Viruses       Date:  2022-06-07       Impact factor: 5.818

4.  Production and Quality Assurance of Human Polyclonal Hyperimmune Immunoglobulins Against SARS-CoV-2.

Authors:  Thierry Burnouf; Birgit Gathof; Evan M Bloch; Renée Bazin; Vincenzo de Angelis; Gopal Kumar Patidar; Rada M Grubovic Rastvorceva; Adaeze Oreh; Ruchika Goel; Naomi Rahimi-Levene; Salwa Hindawi; Arwa Z Al-Riyami; Cynthia So-Osman
Journal:  Transfus Med Rev       Date:  2022-06-09

Review 5.  Antibody-mediated neutralization of SARS-CoV-2.

Authors:  Henning Gruell; Kanika Vanshylla; Timm Weber; Christopher O Barnes; Christoph Kreer; Florian Klein
Journal:  Immunity       Date:  2022-05-13       Impact factor: 43.474

6.  Resilience of S309 and AZD7442 monoclonal antibody treatments against infection by SARS-CoV-2 Omicron lineage strains.

Authors:  James Brett Case; Samantha Mackin; John M Errico; Zhenlu Chong; Emily A Madden; Bradley Whitener; Barbara Guarino; Michael A Schmid; Kim Rosenthal; Kuishu Ren; Ha V Dang; Gyorgy Snell; Ana Jung; Lindsay Droit; Scott A Handley; Peter J Halfmann; Yoshihiro Kawaoka; James E Crowe; Daved H Fremont; Herbert W Virgin; Yueh-Ming Loo; Mark T Esser; Lisa A Purcell; Davide Corti; Michael S Diamond
Journal:  Nat Commun       Date:  2022-07-02       Impact factor: 17.694

7.  Engineered ACE2-Fc counters murine lethal SARS-CoV-2 infection through direct neutralization and Fc-effector activities.

Authors:  Yaozong Chen; Lulu Sun; Irfan Ullah; Guillaume Beaudoin-Bussières; Sai Priya Anand; Andrew P Hederman; William D Tolbert; Rebekah Sherburn; Dung N Nguyen; Lorie Marchitto; Shilei Ding; Di Wu; Yuhong Luo; Suneetha Gottumukkala; Sean Moran; Priti Kumar; Grzegorz Piszczek; Walther Mothes; Margaret E Ackerman; Andrés Finzi; Pradeep D Uchil; Frank J Gonzalez; Marzena Pazgier
Journal:  Sci Adv       Date:  2022-07-13       Impact factor: 14.957

Review 8.  Immune-Mediated Mechanisms of COVID-19 Neuropathology.

Authors:  Cordelia Dunai; Ceryce Collie; Benedict D Michael
Journal:  Front Neurol       Date:  2022-05-19       Impact factor: 4.086

9.  Visualization and quantification of de novo lipogenesis using a FASN-2A-GLuc mouse model.

Authors:  Wenjiao Li; Song Zhang; Xin Fu; Jiehao Zhang; Renlong Li; Haohao Zhang; Qingling An; Weizhen Wang; Zuhong Tian; Changhong Shi; Yongzhan Nie
Journal:  Ann Transl Med       Date:  2022-09

10.  Structural definition of a pan-sarbecovirus neutralizing epitope on the spike S2 subunit.

Authors:  Nicholas K Hurlburt; Leah J Homad; Irika Sinha; Madeleine F Jennewein; Anna J MacCamy; Yu-Hsin Wan; Jim Boonyaratanakornkit; Anton M Sholukh; Abigail M Jackson; Panpan Zhou; Dennis R Burton; Raiees Andrabi; Gabriel Ozorowski; Andrew B Ward; Leonidas Stamatatos; Marie Pancera; Andrew T McGuire
Journal:  Commun Biol       Date:  2022-04-11
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