Biology subjects

Rasmussen, M.

Publications and source records attributed to Rasmussen, M..

At least 19 recordsLinked to original sources

bioRxiv2025

ZAKα is a sensor of mRNA stasis at the ribosomal exit channel

Despite a growing interest in the ribotoxic stress response (RSR), it remains unknown how the upstream p38 and JNK-activating MAP3 kinase ZAK senses translational impairment. Combining Alphafold3 prediction and RNA crosslinking and immunoprecipitation (CLIP), we uncover that ZAK dynamically monitors the mRNA exit channel of elongating ribosomes for mRNA stasis. This is accomplished by ZAK via its direct interactions with the ribosomal proteins RACK1 and RPS27 as well as with the 18S rRNA helix-26. In this conformation, four mRNA-binding peptides in ZAK span across the path of ribosome-exiting mRNA. Progressive elongation effectively threads ZAK off the ribosome, while mRNA stasis stabilizes the interaction allowing for kinase activation. Prolonged binding of ZAK to slow-elongating, stalled and collided ribosomes is associated with sequestration of the inhibitory SAM domain on RACK1, allowing for transient ZAK dimerization, activation loop trans-autophosphorylation and RSR activation. We propose that compromised ribosome processivity constitutes a common ribotoxic stress signal and that ZAK is a ribosome collision-agnostic sensor of such perturbations.

molecular biology↗

bioRxiv2025

Shedding of mitochondrial Voltage-Dependent Anion Channel-1 (VDAC1) Reflects COVID-19 Severity and Reveals Macrophage Dysfunction

COVID-19 severity correlates with lymphopenia and increased pro-inflammatory cytokines. However, the dysfunction of tissue macrophages in COVID-19 patients during the inflammatory cytokine storm has not been fully elucidated. Hospitalized COVID-19 patients were divided into three groups based on their symptomatic severity: exhibiting mild, moderate, or severe symptoms. Patients exhibited successively increased serum levels of mitochondrial voltage-dependent anion channel 1 (VDAC1) at days 0, 3, 7, 10, and 14, returning to those of non-infected subjects at day 28. Serum level of VDAC1 was positively correlated with COVID-19 severity and with increased white blood cell (WBC), neutrophil, lymphocyte, procalcitonin (PCT), and gamma-glutamyltransferase (GT) levels. Peripheral blood mononuclear cells (PBMCs) from hospitalized COVID-19 patients showed increased VDAC1 content concomitant with a reduced ATP content. Culture of monocytes, isolated from healthy individuals, and differentiated into polarized M1 macrophages, together with a cytokine mixture (IL-1{beta}, IFN-{gamma}, and TNF-), to mimic the inflammatory cytokine storm, for 24 h markedly increased VDAC1 and Monocyte chemoattractant protein-1 (MCP-1) release in culture medium. The presence of the cytokine mixture reduced the ATP content, cell viability, and the phagocytic capability of macrophages. Co-staining of VDAC1 and the plasma membrane marker Na+/K+-ATPase showed that cytokine-treatment mistargeted VDAC1 to the cell surface of macrophages. All these effects were prevented by VDAC1 inhibition using VBIT-4, VDAC1-specific antibody (VDAC1-ab), or metformin. Our findings indicate that increased VDAC1 expression and cell surface mistargeting in immune cells might be associated with cell dysfunction, potentially contributing to the severity of COVID-19 infection. The data also indicate serum VDAC1 as a biomarker of COVID-19 severity and the use of VDAC1 inhibitors as potential drug candidates restoring macrophages and PBMCs function in individuals severely affected by COVID-19.

pathology↗

bioRxiv2025

The maternal inflammatory proteome during pregnancy and its role in predicting the risk of spontaneous preterm birth

BackgroundSpontaneous preterm birth (sPTB) is a significant adverse outcome of pregnancy. Being able to identify and improve the management of those who may be at risk requires robust screening methods. The use of circulating molecular markers provides a promising and non-invasive solution to this problem to allow necessary and successful intervention. The role of inflammation has been continuously demonstrated to play a key role in the onset of sPTB with intrauterine inflammation being a key driver. Here we sought out to explore the inflammatory proteome using a nested case-control approach using samples from pregnant participants in the INSIGHT cohort. ObjectivesTo explore the maternal blood proteome in the second trimester using the Olink Explore panel to identify inflammatory proteins associated with sPTB and assess their predictive value, both independently and in combination with cell-free RNA (cfRNA). Study DesignWe conducted a nested case-control study to investigate inflammatory protein profiles during the second trimester of pregnancy. A total of 138 maternal blood plasma samples were analysed using a targeted proteomic assay quantifying 384 inflammation-related proteins. Differential expression analysis and a LASSO-logistic regression model with Leave-One-Out Cross-Validation (LOOCV) were applied to evaluate the association between inflammatory biomarkers and spontaneous preterm birth (sPTB) outcomes. ResultsUsing predictive modelling of the maternal blood proteome, 16 inflammation-related proteins were identified as key discriminators of sPTB risk, with proteins such as PGF, COL9A1, CST7, CXCL6 and GALNT3 emerging as major contributors for predicting sPTB risk. Using inflammation-related maternal proteins alone to predict sPTB (<35 weeks) achieved an area under the receiver operating characteristic curve (AUC-ROC) of 0.76 (95% CI: 0.66-0.84). The incorporation of both cfRNA and proteomic data into an integrated model, improved the area under the curve to 0.85 (95% CI: 0.78-0.92). The integrated model highlighted inflammatory biomarkers that are not only implicated in preterm birth but also in essential physiological mechanisms such as placental function, tissue remodelling, and extracellular matrix composition, which are critical to maintaining pregnancy and preventing premature labour. ConclusionsThese findings demonstrate that an integrated approach using both cfRNA and proteomic signatures of the second trimester maternal blood plasma yields a more comprehensive biomarker profile for predicting preterm birth risk. This multimodal strategy not only enhances the predictive accuracy but also captures a broader array of biological signals across multiple organ systems. Compared to relying solely on inflammatory proteome markers, this multiomic method offers a deeper molecular characterisation of preterm birth risk in the maternal blood plasma.

systems biology↗

bioRxiv2024

Loss of PARP7 increases type I interferon signalling and prevents pancreatic tumour growth by enhancing immune cell infiltration

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal forms of cancer, and despite low incidence rates, it remains the sixth leading cause of cancer related deaths worldwide. Immunotherapy, which aims to enhance the immune systems ability to recognize and eliminate cancer cells, has emerged as a promising approach in the battle against PDAC. PARP7, a mono-ADP-ribosyltransferase, is a negative regulator of the type I interferon (IFN-I) pathway and has been reported to reduce anti-tumour immunity. Using murine pancreatic cancer cells, we found that loss of Parp7 elevated the levels of interferon stimulated gene factor 3 (ISGF3) and its downstream target genes, even in the absence of STING. Cancer cells deficient in Parp7 produced smaller tumours when injected into immunocompetent mice. Transcriptomic analyses revealed that tumours knocked out for Parp7 (Parp7KO) had increased expression of genes involved in immunoregulatory interactions and interferon signalling pathways. Characterization of tumour infiltrating leukocyte (TIL) populations showed that Parp7KO tumours had higher proportions of natural killer cells, CD8 T cells and a lower proportion of anti-inflammatory macrophages (M2). The overall TIL profile of Parp7KO tumours was suggestive of a less suppressive microenvironment. Our data show that loss of Parp7 reduces PDAC tumour growth by increasing the infiltration of immune cells and enhancing anti-tumour immunity. These findings provide support to pursue PARP7 as a therapeutic target for PDAC.

cancer biology↗

bioRxiv2024

Putting computational models of immunity to the test - an invited challenge to predict B. pertussis vaccination outcomes

Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome. Comparing such models is challenging due to variability in study designs. To address this, we established a community resource to compare models predicting B. pertussis booster responses and generate experimental data for the explicit purpose of model evaluation. We here describe our second computational prediction challenge using this resource, where we benchmarked 49 algorithms from 53 scientists. We found that the most successful models stood out in their handling of nonlinearities, reducing large feature sets to representative subsets, and advanced data preprocessing. In contrast, we found that models adopted from literature that were developed to predict vaccine antibody responses in other settings performed poorly, reinforcing the need for purpose-built models. Overall, this demonstrates the value of purpose-generated datasets for rigorous and open model evaluations to identify features that improve the reliability and applicability of computational models in vaccine response prediction.

immunology↗

bioRxiv2024

SARS-CoV-2 sequencing artifacts associated with targeted PCR enrichment and read mapping

Protocols and pipelines for SARS-CoV-2 genome sequencing were rapidly established when the COVID-19 outbreak was declared a pandemic. The most widely used approach for sequencing SARS-CoV-2 includes targeted enrichment by PCR, followed by shotgun sequencing and reference-based genome assembly. As the continued surveillance of SARS-CoV-2 worldwide is transitioning towards a lower level of intensity, it is timely to re-visit the sequencing protocols and pipelines established during the acute phase of the pandemic. In the current study, we have investigated the impact of primer scheme and reference genome choice by sequencing samples with multiple primer schemes (Artic V3, V4.1 and V5.3.2) and re-processing reads with multiple reference genomes. We have also analysed the temporal development in ambiguous base calls during the emergence of the BA.2.86.x variant. We found that the primers used for targeted enrichment can result in recurrent ambiguous base calls, which can accumulate rapidly in response to the emergence of a new variant. We also found examples of consistent base calling errors, associated with PCR artifacts and amplicon drop-out. Similarly, misalignments and partially mapped reads on the reference genome resulted in ambiguous base calls, as well as defining mutations being omitted from the assembly. These findings highlight some key limitations of using targeted enrichment by PCR and reference-based genome assembly for sequencing SARS-CoV-2, and the importance of continuously monitoring and updating primer schemes and bioinformatic pipelines.

bioinformatics↗

bioRxiv2024

VezA/vezatin facilitates proper assembly of the dynactin complex in vivo

Cytoplasmic dynein-mediated intracellular transport needs the multi-component dynactin complex for cargo binding and motor activation. However, cellular factors involved in dynactin assembly remain unexplored. Here we found in Aspergillus nidulans that the vezatin homolog VezA is important for dynactin assembly. VezA affects the microtubule plus-end accumulation of dynein before cargo binding and cargo adapter-mediated dynein activation, two processes that both need dynactin. The dynactin complex contains multiple components including an Arp1 (actin-related protein 1) mini-filament associated with a pointed-end sub-complex. VezA physically interacts with dynactin either directly or indirectly via the Arp1 mini-filament and its pointed-end sub-complex. Loss of VezA causes a defect in dynactin integrity, most likely by affecting the connection between the Arp1 mini-filament and its pointed-end sub-complex. Using various dynactin mutants, we further revealed that assembly of the dynactin complex must be highly coordinated. Together, these results shed important new light on dynactin assembly in vivo.

cell biology↗

bioRxiv2024

Global variation in prior exposure shapes antibody neutralization profiles of SARS-CoV-2 variants up to BA.2.86

The highly mutated SARS-CoV-2 variant, BA.2.86, and its descendants are now the most frequently sequenced variants of SARS-CoV-2. We analyze antibody neutralization data from eight laboratories from the UK, USA, Denmark, and China, including two datasets assessing the effect of XBB.1.5 vaccines, to determine the effect of infection and vaccination history on neutralization of variants up to and including BA.2.86, and produce antibody landscapes to describe these neutralization profiles. We find evidence for lower levels of immune imprinting on pre-Omicron variants in sera collected from Denmark and China, which may be explained by lower levels of circulation of the ancestral variant in these countries, and the use of an inactivated virus vaccine in China.

immunology↗

bioRxiv2024

Emergence and spread of SARS-CoV-2 variants from farmed mink to humans and back during the epidemic in Denmark, June-November 2020.

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) not only caused the COVID-19 pandemic but also had a major impact on farmed mink production in several European countries. In Denmark, the entire population of farmed mink (over 15 million animals) was culled in late 2020. During the period of June to November 2020, mink on 290 farms (out of about 1100 in the country) were shown to be infected with SARS-CoV-2. Genome sequencing identified changes in the virus within the mink and it is estimated that about 4000 people in Denmark became infected with these mink virus variants. However, the routes of transmission of the virus to, and from, the mink have been unclear. Phylogenetic analysis revealed the generation of multiple clusters of the virus within the mink. Detailed analysis of changes in the virus during replication in mink and, in parallel, in the human population in Denmark, during the same time period, has been performed here. The majority of cases in mink involved variants with the Y435F substitution and the H69/V70 deletion within the Spike (S) protein; these changes emerged early in the outbreak. However, further introductions of the virus, by variants lacking these changes, from the human population into mink also occurred. Based on phylogenetic analysis of viral genome data, we estimate, using a conservative approach, that about 17 separate examples of mink to human transmission occurred in Denmark but up to 59 such events (90% credible interval: (39-77)) were identified using parsimony to count cross-species jumps on transmission trees inferred using Bayesian methods. Using the latter approach, 136 jumps (90% credible interval: (117-164)) from humans to mink were found, which may underlie the farm-to-farm spread. Thus, transmission of SARS-CoV-2 from humans to mink, mink to mink, from mink to humans and between humans were all observed. (298 words) Author summaryIn addition to causing a pandemic in the human population, SARS-CoV-2 also infected farmed mink. In Denmark, after the first identification of infection in mink during June 2020, a decision was made in November 2020 to cull all the farmed mink. Within this outbreak, mink on 290 farms (out of about 1100 in the country) were found to have been infected. We showed, by analysis of the viruses from the mink, that the viruses on the farms were mainly of three different, but closely related, types (termed Clusters 2, 3 and 4) that shared certain distinctive features. Thus, we found that many outbreaks in mink resulted from transmission of the virus between mink farms. However, we identified that new introductions of other virus variants, presumably from infected humans, also occurred. Furthermore, we showed that spread of the virus from infected mink to humans also happened on multiple occasions. Thus, transmission of these viruses from humans to mink, mink to mink, from mink to humans and between humans were all observed. (172 words)

microbiology↗

bioRxiv2023

Dissecting the properties of circulating IgG against Group A Streptococcus through a combined systems antigenomics-serology workflow

Most individuals maintain circulating antibodies against various pathogenic bacteria as a consequence of previous exposures. However, it remains unclear to what extent these antibodies contribute to host protection. This knowledge gap is linked to the need for better methods to characterize antimicrobial polyclonal antibodies, including their antigen and epitope repertoires, subclass distribution, glycosylation status, and effector functions. Here, we showcase a generic mass spectrometry-based strategy that couples systems antigenomics and systems serology to characterize human antibodies directly in clinical samples. The method is based on automated affinity purification workflows coupled to an integrated suite of high-resolution MS-based quantitative, structural- and glyco-proteomics readouts. We focused on Streptococcus pyogenes (Group A Streptococcus; GAS), a major human pathogen still awaiting an approved vaccine. Our methodology reveals that both healthy and GAS infected individuals have circulating Immunoglobulin G (IgG) against a subset of genomically conserved streptococcal proteins, including numerous toxins and virulence factors. The antigen repertoire targeted by these antibodies was relatively constant across healthy individuals, but considerably changed in GAS bacteremia. Detailed analysis of the antigen-specific IgG indicates inter-individual variation regarding titers, subclass distributions, and Fc-signaling capacity, but not in epitope and Fc-glycosylation patterns. Importantly, we show that the IgG subclass has a major impact on the ability of GAS-antibodies to trigger immune signaling, in an antigen- and Fc receptor-specific fashion. Overall, these results uncover exceeding complexity in the properties of GAS-specific IgG, and showcase our methodology as high-throughput and flexible workflow to understand adaptive immune responses to bacterial pathogens. Significance statementMost people develop polyclonal antibodies against bacterial pathogens during infections but their structural and functional properties are poorly understood. Here, we showcase a combined systems antigenomics and systems serology strategy to quantify key antibody properties directly in clinical samples. We applied this method to characterize polyclonal antibody responses against Streptococcus pyogenes, a major human pathogen. We mapped the antigen and epitope landscape of anti-streptococcal antibodies circulating in healthy adult plasma, and their changes during blood infections. We further demonstrate the analytical power of our approach to resolve individual variations in the structure and effector functions of antigen-specific antibodies, including a dependency between immunoglobulin subclass and Fc-signaling capacity.

immunology↗

bioRxiv2023

DrugMap: A quantitative pan-cancer analysis of cysteine ligandability

Cysteine-focused chemical proteomic platforms have accelerated the clinical development of covalent inhibitors of a wide-range of targets in cancer. However, how different oncogenic contexts influence cysteine targeting remains unknown. To address this question, we have developed DrugMap, an atlas of cysteine ligandability compiled across 416 cancer cell lines. We unexpectedly find that cysteine ligandability varies across cancer cell lines, and we attribute this to differences in cellular redox states, protein conformational changes, and genetic mutations. Leveraging these findings, we identify actionable cysteines in NF{kappa}B1 and SOX10 and develop corresponding covalent ligands that block the activity of these transcription factors. We demonstrate that the NF{kappa}B1 probe blocks DNA binding, whereas the SOX10 ligand increases SOX10-SOX10 interactions and disrupts melanoma transcriptional signaling. Our findings reveal heterogeneity in cysteine ligandability across cancers, pinpoint cell-intrinsic features driving cysteine targeting, and illustrate the use of covalent probes to disrupt oncogenic transcription factor activity.

systems biology↗

bioRxiv2023

Neutralisation of SARS-CoV-2 Omicron subvariants BA.2.86 and EG.5.1 by antibodies induced by earlier infection or vaccination

Highly mutated SARS-CoV-2 Omicron subvariant BA.2.86 emerged in July 2023. We investigated the neutralisation of isolated virus by antibodies induced by earlier infection or vaccination. The neutralisation titres for BA.2.86 were comparable to those for XBB.1 and EG.5.1, by antibodies induced by XBB.1.5 or BA.4/5 breakthrough infection or BA.4/5 vaccination.

immunology↗

bioRxiv2023

A systems vaccinology resource to develop and test computational models of immunity

Computational models that predict an individuals response to a vaccine offer the potential for mechanistic insights and personalized vaccination strategies. These models are increasingly derived from systems vaccinology studies that generate immune profiles from human cohorts pre- and post-vaccination. Most of these studies involve relatively small cohorts and profile the response to a single vaccine. The ability to assess the performance of the resulting models would be improved by comparing their performance on independent datasets, as has been done with great success in other areas of biology such as protein structure predictions. To transfer this approach to system vaccinology studies, we established a prototype platform that focuses on the evaluation of Computational Models of Immunity to Pertussis Booster vaccinations (CMI-PB). A community resource, CMI-PB generates experimental data for the explicit purpose of model evaluation, which is performed through a series of annual data releases and associated contests. We here report on our experience with the first such dry run for a contest where the goal was to predict individual immune responses based on pre-vaccination multi-omic profiles. Over 30 models adopted from the literature were tested, but only one was predictive, and was based on age alone. The performance of new models built using CMI-PB training data was much better, but varied significantly based on the choice of pre-vaccination features used and the model building strategy. This suggests that previously published models developed for other vaccines do not generalize well to Pertussis Booster vaccination. Overall, these results reinforced the need for comparative analysis across models and datasets that CMI-PB aims to achieve. We are seeking wider community engagement for our first public prediction contest, which will open in early 2024.

systems biology↗

bioRxiv2022

Fin whale singalong: evidence of song conformity

Mechanisms driving song learning and conformity are still poorly known yet fundamental to understand the behavioural ecology of animals. Broadening the taxonomic range of these studies and interpreting song variation under the scope of cultural evolution will increase our knowledge on vocal learning strategies. Here, we analysed changes in fin whale (Balaenoptera physalus) songs recorded over two decades across the Central and Northeast Atlantic Ocean. We found a rapid (over 4 years) replacement of fin whale song types (different inter-note intervals - INIs) that co-existed with hybrid songs during the transition period and showed a clear geographic pattern. We also revealed gradual changes in INIs and note frequencies over more than a decade with all males adopting both rapid and gradual changes. These results provide evidence of vocal learning of rhythm in fin whale songs and conformity in both song rhythm and note frequencies.

animal behavior and cognition↗

bioRxiv2022

A gene expression control technology for cell-free systems and synthetic cells via targeted gene silencing and transfection

Cell-free transcription-translation (TXTL) is an in vitro protein expression platform. In synthetic biology, TXTL is utilized for a variety of technologies, such as genetic circuit construction, metabolic pathway optimization, and building prototypes of synthetic cells. For all these purposes, the ability to precisely control gene expression is essential. Various strategies to control gene expression in TXTL have been developed; however, further advancements on gene-specific and straightforward regulation methods are still demanded. Here, we designed a novel method to control gene expression in TXTL, called a "silencing oligo." The silencing oligo is a short oligonucleotide that binds to the target mRNA. We demonstrated that addition of the silencing oligo inhibits eGFP expression in TXTL in a sequence-dependent manner. We investigated one of the silencing oligos inhibitory mechanisms and confirmed that silencing is associated with RNase H activity in bacterial TXTL reactions. We also engineered a transfection system that can be used in synthetic cells. We screened two dozen different commercially available transfection reagents to identify the one that works most robustly in our system. Finally, we combined the silencing oligo with the transfection technology, demonstrating that we can control the gene expression by transfecting silencing oligo-containing liposomes into the synthetic cells.

synthetic biology↗

bioRxiv2022

Invasive streptococcal infection can lead to the generation of cross-strain opsonic antibodies

IntroductionThe human pathogen Streptococcus pyogenes causes substantial morbidity and mortality. It is unclear if antibodies developed after infections with this pathogen are opsonic and if they are strain-specific or more broadly protective. Here, we quantified the opsonic antibody response following invasive S. pyogenes infection. Materials and MethodsFour patients with S. pyogenes bacteremia between 2018-2020 at Sk[a]ne University Hospital in Lund, Sweden, were prospectively enrolled. Acute and convalescent sera were obtained, and the S. pyogenes isolates were genome-sequenced (emm118, emm85, and two emm1). Quantitative antibody binding and phagocytosis assays were used to evaluate isolate-dependent opsonic antibody function in response to infection. ResultsAntibody binding increased modestly against the infecting isolate and across emm types in convalescent compared to acute sera for all patients. For two patients, phagocytosis increased in convalescent serum for both the infecting isolate and across types. The increase was only across types for one patient, and one had no improvement. No correlation to the clinical outcomes was observed. ConclusionInvasive S. pyogenes infections result in a modestly increased antibody binding with differential opsonic capacity, both non-functional binding and broadly opsonic binding across types. These findings question the dogma that an invasive infection should lead to a strong type-specific antibody increase rather than a more modest but broadly reactive response, as seen in these patients. Furthermore, our results indicate that an increase in antibody titers might not be indicative of an opsonic response and highlight the importance of evaluating antibody function in S. pyogenes infections.

immunology↗

bioRxiv2022

Expanding luciferase reporter systems for cell-free protein expression

Luciferases are often used as a sensitive, versatile reporter in cell-free transcription-translation (TXTL) systems, for research and practical applications such as engineering genetic parts, validating genetic circuits, and biosensor outputs. Currently, only two luciferases (Firefly and Renilla) are commonly used without substrate cross-talk. Here we demonstrate expansion of the cell-free luciferase reporter system, with two orthogonal luciferase reporters: N. nambi luciferase (Luz) and LuxAB. These luciferases do not have cross-reactivity with the Firefly and Renilla substrates. We also demonstrate a substrate regeneration pathway for one of the new luciferases, enabling long-term time courses of protein expression monitoring in the cell-free system. Furthermore, we reduced the number of genes required in TXTL expression, by engineering a cell extract containing part of the luciferase enzymes. Our findings lead to an expanded platform with multiple orthogonal luminescence translation readouts for in vitro protein expression.

synthetic biology↗

bioRxiv2021

Opsonization by non-neutralizing antibodies can confer protection to SARS-CoV-2 despite Spike-dependent modulation of phagocytosis

Spike-specific antibodies are central to effective COVID19 immunity. Research efforts have focused on antibodies that neutralize the ACE2-Spike interaction but not on non-neutralizing antibodies. Antibody-dependent phagocytosis is an immune mechanism enhanced by opsonization, where typically, more bound antibodies trigger a stronger phagocyte response. Here, we show that Spike-specific antibodies, dependent on concentration, can either enhance or reduce Spike-bead phagocytosis by monocytes independently of the antibody neutralization potential. Surprisingly, we find that both convalescent patient plasma and patient-derived monoclonal antibodies lead to maximum opsonization already at low levels of bound antibodies and is reduced as antibody binding to Spike protein increases. Moreover, we show that this Spike-dependent modulation of opsonization seems to affect the outcome in an experimental SARS-CoV-2 infection model. These results suggest that the levels of anti-Spike antibodies could influence monocyte-mediated immune functions and propose that non-neutralizing antibodies could confer protection to SARS-CoV-2 infection by mediating phago-cytosis.

immunology↗