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1.
biorxiv; 2021.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2021.11.19.469229

ABSTRACT

The amount of scientific data and level of public sharing produced as a consequence of the COVID-19 pandemic, as well as the speed at which these data were produced, far exceeds any previous effort against a specific disease condition. This unprecedented situation allows for development and application of new research approaches. One of the major technical hurdles in immunology is the characterization of HLA-antigen-T cell receptor (TCR) specificities. Most approaches aim to identify reactive T cells starting from known antigens using functional assays. However, the need for a reverse approach identifying the antigen specificity of orphan TCRs is increasing. Utilizing large public single-cell gene expression and TCR datasets, we identified highly public CD4+ T cell responses to SARS-CoV-2, covering >75% of the analysed population. We performed an integrative meta-analysis to deeply characterize these clonotypes by TCR sequence, gene expression, HLA-restriction, and antigen-specificity, identifying strong and public CD4+ immunodominant responses with confirmed specificity. CD4+ COVID-enriched clonotypes show T follicular helper functional features, while clonotypes depleted in SARS-CoV-2 individuals preferentially had a central memory phenotype. In total we identify more than 1200 highly public CD4+ T cell clonotypes reactive to SARS-CoV-2. TCR similarity analysis showed six prominent TCR clusters, for which we predicted both HLA-restriction and cognate SARS-CoV-2 immunodominant epitopes. To validate our predictions we used an independent cohort of TCR repertoires before and after vaccination with ChAdOx1, a replication-deficient simian adenovirus-vectored vaccine, encoding the SARS-CoV-2 spike protein. We find statistically significant enrichment of the predicted spike-reactive TCRs after vaccination with ChAdOx1, while the frequency of TCRs specific to other SARS-CoV-2 proteins remains stable. Thus, the CD4-associated TCR repertoire differentiates vaccination from natural infection. In conclusion, our study presents a novel reverse epitope discovery approach that can be used to infer HLA- and antigen-specificity of orphan TCRs in any context, such as viral infections, antitumor immune responses, or autoimmune disease.


Subject(s)
Autoimmune Diseases , Severe Acute Respiratory Syndrome , Virus Diseases , COVID-19
2.
Frauke Degenhardt; David Ellinghaus; Simonas Juzenas; Jon Lerga-Jaso; Mareike Wendorff; Douglas Maya-Miles; Florian Uellendahl-Werth; Hesham ElAbd; Malte C. Ruehlemann; Jatin Arora; Onur oezer; Ole Bernt Lenning; Ronny Myhre; May Sissel Vadla; Eike Matthias Wacker; Lars Wienbrandt; Aaron Blandino Ortiz; Adolfo de Salazar; Adolfo Garrido Chercoles; Adriana Palom; Agustin Ruiz; Alberto Mantovani; Alberto Zanella; Aleksander Rygh Holten; Alena Mayer; Alessandra Bandera; Alessandro Cherubini; Alessandro Protti; Alessio Aghemo; Alessio Gerussi; Alexander Popov; Alfredo Ramirez; Alice Braun; Almut Nebel; Ana Barreira; Ana Lleo; Ana Teles; Anders Benjamin Kildal; Andrea Biondi; Andrea Ganna; Andrea Gori; Andreas Glueck; Andreas Lind; Anke Hinney; Anna Carreras Nolla; Anna Ludovica Fracanzani; Annalisa Cavallero; Anne Ma Dyrhol-Riise; Antonella Ruello; Antonio Julia; Antonio Muscatello; Antonio Pesenti; Antonio Voza; Ariadna Rando-Segura; Aurora Solier; Beatriz Cortes; Beatriz Mateos; Beatriz Nafria-Jimenez; Benedikt Schaefer; Bjoern Jensen; Carla Bellinghausen; Carlo Maj; Carlos Ferrando; Carmen de la Horrra; Carmen Quereda; Carsten Skurk; Charlotte Thibeault; Chiara Scollo; Christian Herr; Christoph D. Spinner; Christoph Lange; Cinzia Hu; Clara Lehmann; Claudio Cappadona; Clinton Azuure; - COVICAT study group; - Covid-19 Aachen Study (COVAS); Cristiana Bianco; Cristina Sancho; Dag Arne Lihaug Hoff; Daniela Galimberti; Daniele Prati; David Haschka; David Jimenez; David Pestana; David Toapanta; Elena Azzolini; Elio Scarpini; Elisa T. Helbig; Eloisa Urrechaga; Elvezia Maria Paraboschi; Emanuele Pontali; Enric Reverter; Enrique J. Calderon; Enrique Navas; Erik Solligard; Ernesto Contro; Eunate Arana; Federico Garcia; Felix Garcia Sanchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Florian Kurth; Francesco Blasi; Francesco Malvestiti; Francisco J. Medrano; Francisco Mesonero; Francisco Rodriguez-Frias; Frank Hanses; Fredrik Mueller; Giacomo Bellani; Giacomo Grasselli; Gianni Pezzoli; Giorgio Costantino; Giovanni Albano; Giuseppe Bellelli; Giuseppe Citerio; Giuseppe Foti; Giuseppe Lamorte; Holger Neb; Ilaria My; Ingo Kurth; Isabel Hernandez; Isabell Pink; Itziar de Rojas; Ivan Galvan-Femenia; Jan C. Holter; Jan Egil Egil Afset; Jan Heyckendorf; Jan Damas; Jan Kristian Rybniker; Janine Altmueller; Javier Ampuero; Jesus M. Banales; Joan Ramon Badia; Joaquin Dopazo; Jochen Schneider; Jonas Bergan; Jordi Barretina; Joern Walter; Jose Hernandez Quero; Josune Goikoetxea; Juan Delgado; Juan M. Guerrero; Julia Fazaal; Julia Kraft; Julia Schroeder; Kari Risnes; Karina Banasik; Karl Erik Mueller; Karoline I. Gaede; Koldo Garcia-Etxebarria; Kristian Tonby; Lars Heggelund; Laura Izquierdo-Sanchez; Laura Rachele Bettini; Lauro Sumoy; Leif Erik Sander; Lena J. Lippert; Leonardo Terranova; Lindokuhle Nkambule; Lisa Knopp; Lise Tuset Gustad; Lucia Garbarino; Luigi Santoro; Luis Tellez; Luisa Roade; Mahnoosh Ostadreza; Maider Intxausti; Manolis Kogevinas; Mar Riveiro-Barciela; Marc M. Berger; Mari E.K. Niemi; Maria A. Gutierrez-Stampa; Maria Grazia Valsecchi; Maria Hernandez-Tejero; Maria J.G.T. Vehreschild; Maria Manunta; Mariella D'Angio; Marina Cazzaniga; Marit M. Grimsrud; Markus Cornberg; Markus M. Noethen; Marta Marquie; Massimo Castoldi; Mattia Cordioli; Maurizio Cecconi; Mauro D'Amato; Max Augustin; Melissa Tomasi; Merce Boada; Michael Dreher; Michael J. Seilmaier; Michael Joannidis; Michael Wittig; Michela Mazzocco; Miguel Rodriguez-Gandia; Natale Imaz Ayo; Natalia Blay; Natalia Chueca; Nicola Montano; Nicole Ludwig; Nikolaus Marx; Nilda Martinez; - Norwegian SARS-CoV-2 Study group; Oliver A. Cornely; Oliver Witzke; Orazio Palmieri; - Pa COVID-19 Study Group; Paola Faverio; Paolo Bonfanti; Paolo Tentorio; Pedro Castro; Pedro M. Rodrigues; Pedro Pablo Espana; Per Hoffmann; Philip Rosenstiel; Philipp Schommers; Phillip Suwalski; Raul de Pablo; Ricard Ferrer; Robert Bals; Roberta Gualtierotti; Rocio Gallego-Duran; Rosa Nieto; Rossana Carpani; Ruben Morilla; Salvatore Badalamenti; Sammra Haider; Sandra Ciesek; Sandra May; Sara Bombace; Sara Marsal; Sara Pigazzini; Sebastian Klein; Selina Rolker; Serena Pelusi; Sibylle Wilfling; Silvano Bosari; Soren Brunak; Soumya Raychaudhuri; Stefan Schreiber; Stefanie Heilmann-Heimbach; Stefano Aliberti; Stephan Ripke; Susanne Dudman; - The Humanitas COVID-19 Task Forse; - The Humanitas Gavazzeni COVID-19 Task Force; Thomas Bahmer; Thomas Eggermann; Thomas Illig; Thorsten Brenner; Torsten Feldt; Trine Folseraas; Trinidad Gonzalez Cejudo; Ulf Landmesser; Ulrike Protzer; Ute Hehr; Valeria Rimoldi; Vegard Skogen; Verena Keitel; Verena Kopfnagel; Vicente Friaza; Victor Andrade; Victor Moreno; Wolfgang Poller; Xavier Farre; Xiaomin Wang; Yascha Khodamoradi; Zehra Karadeniz; Anna Latiano; Siegfried Goerg; Petra Bacher; Philipp Koehler; Florian Tran; Heinz Zoller; Eva C. Schulte; Bettina Heidecker; Kerstin U. Ludwig; Javier Fernandez; Manuel Romero-Gomez; Agustin Albillos; Pietro Invernizzi; Maria Buti; Stefano Duga; Luis Bujanda; Johannes R. Hov; Tobias L. Lenz; Rosanna Asselta; Rafael de Cid; Luca Valenti; Tom H. Karlsen; Mario Caceres; Andre Franke.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.07.21.21260624

ABSTRACT

Due to the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), deepening the host genetic contribution to severe COVID-19 may further improve our understanding about underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of 3,260 COVID-19 patients with respiratory failure and 12,483 population controls from Italy, Spain, Norway and Germany, as well as hypothesis-driven targeted analysis of the human leukocyte antigen (HLA) region and chromosome Y haplotypes. We include detailed stratified analyses based on age, sex and disease severity. In addition to already established risk loci, our data identify and replicate two genome-wide significant loci at 17q21.31 and 19q13.33 associated with severe COVID-19 with respiratory failure. These associations implicate a highly pleiotropic ~0.9-Mb 17q21.31 inversion polymorphism, which affects lung function and immune and blood cell counts, and the NAPSA gene, involved in lung surfactant protein production, in COVID-19 pathogenesis.


Subject(s)
COVID-19 , Respiratory Insufficiency
3.
ssrn; 2021.
Preprint in English | PREPRINT-SSRN | ID: ppzbmed-10.2139.ssrn.3828200

ABSTRACT

Neurological complications are common in COVID-19 patients. Although severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in patients’ brain tissues, its entry routes and resulting consequences are not well understood. Here, we report that the blood-brain barrier (BBB) and its microenvironment show pronounced upregulation of interferon signaling pathways in fatal COVID-19. Moreover, human induced pluripotent stem cell (hiPSC)-derived brain capillary endothelial-like cells (BCECs) were susceptible to SARS-CoV-2 infection and recapitulated the transcriptional changes detected in vivo . While BCECs were not compromised in their paracellular tightness, we found SARS-CoV-2 in the basolateral compartment in transwell assays after apical infection, suggesting active transcytosis of the virus across the BBB in vitro . SARS-CoV-2 entry into BCECs could be reduced by anti-spike-, anti-ACE2- and anti-NRP1-specific antibodies or the TMPRSS2 inhibitor nafamostat. Together, our data provide direct evidence for SARS-CoV-2 brain entry across the BBB resulting in an increase in interferon signaling.


Subject(s)
Coronavirus Infections , COVID-19
4.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.03.07.21252875

ABSTRACT

Background: There is considerable variability in COVID-19 outcomes amongst younger adults and some of this variation may be due to genetic predisposition. We characterized the clinical implications of the major genetic risk factor for COVID-19 severity, and its age-dependent effect, using individual-level data in a large international multi-centre consortium. Method: The major common COVID-19 genetic risk factor is a chromosome 3 locus, tagged by the marker rs10490770. We combined individual level data for 13,424 COVID-19 positive patients (N=6,689 hospitalized) from 17 cohorts in nine countries to assess the association of this genetic marker with mortality, COVID-19-related complications and laboratory values. We next examined if the magnitude of these associations varied by age and were independent from known clinical COVID-19 risk factors. Findings: We found that rs10490770 risk allele carriers experienced an increased risk of all-cause mortality (hazard ratio [HR] 1.4, 95% confidence interval [CI] 1.2-1.6) and COVID-19 related mortality (HR 1.5, 95%CI 1.3-1.8). Risk allele carriers had increased odds of several COVID-19 complications: severe respiratory failure (odds ratio [OR] 2.0, 95%CI 1.6-2.6), venous thromboembolism (OR 1.7, 95%CI 1.2-2.4), and hepatic injury (OR 1.6, 95%CI 1.2-2.0). Risk allele carriers [≤] 60 years had higher odds of death or severe respiratory failure (OR 2.6, 95%CI 1.8-3.9) compared to those > 60 years OR 1.5 (95%CI 1.3-1.9, interaction p-value=0.04). Amongst individuals [≤] 60 years who died or experienced severe respiratory COVID-19 outcome, we found that 31.8% (95%CI 27.6-36.2) were risk variant carriers, compared to 13.9% (95%CI 12.6-15.2%) of those not experiencing these outcomes. Prediction of death or severe respiratory failure among those [≤] 60 years improved when including the risk allele (AUC 0.82 vs 0.84, p=0.016) and the prediction ability of rs10490770 risk allele was similar to, or better than, most established clinical risk factors. Interpretation: The major common COVID-19 risk locus on chromosome 3 is associated with increased risks of morbidity and mortality and these are more pronounced amongst individuals [≤] 60 years. The effect on COVID-19 severity was similar to, or larger than most established risk factors, suggesting potential implications for clinical risk management. Funding: Funding was obtained by each of the participating cohorts individually.


Subject(s)
Venous Thromboembolism , Chemical and Drug Induced Liver Injury , Death , COVID-19 , Respiratory Insufficiency
5.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.11.20187369

ABSTRACT

The pandemic spread of the potentially life-threatening disease COVID-19 requires a thorough understanding of the longitudinal dynamics of host responses. Temporal resolution of cellular features associated with a severe disease trajectory will be a pre-requisite for finding disease outcome predictors. Here, we performed a longitudinal multi-omics study using a two-centre German cohort of 13 patients (from Cologne and Kiel, cohort 1). We analysed the bulk transcriptome, bulk DNA methylome, and single-cell transcriptome (>358,000 cells, including BCR profiles) of peripheral blood samples harvested from up to 5 time points. The results from single-cell and bulk transcriptome analyses were validated in two independent cohorts of COVID-19 patients from Bonn (18 patients, cohort 2) and Nijmegen (40 patients, cohort 3), respectively. We observed an increase of proliferating, activated plasmablasts in severe COVID-19, and show a distinct expression pattern related to a hyperactive cellular metabolism of these cells. We further identified a notable expansion of type I IFN-activated circulating megakaryocytes and their progenitors, indicative of emergency megakaryopoiesis, which was confirmed in cohort 2. These changes were accompanied by increased erythropoiesis in the critical phase of the disease with features of hypoxic signalling. Finally, projecting megakaryocyte- and erythroid cell-derived co-expression modules to longitudinal blood transcriptome samples from cohort 3 confirmed an association of early temporal changes of these features with fatal COVID-19 disease outcome. In sum, our longitudinal multi-omics study demonstrates distinct cellular and gene expression dynamics upon SARS-CoV-2 infection, which point to metabolic shifts of circulating immune cells, and reveals changes in megakaryocytes and increased erythropoiesis as important outcome indicators in severe COVID-19 patients.


Subject(s)
COVID-19
6.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.09.15.20188896

ABSTRACT

Coronavirus disease 2019 (COVID-19) displays high clinical variability but the parameters that determine disease severity are still unclear. Pre-existing T cell memory has been hypothesized as a protective mechanism but conclusive evidence is lacking. Here we demonstrate that all unexposed individuals harbor SARS-CoV-2-specific memory T cells with marginal cross-reactivity to common cold corona and other unrelated viruses. They display low functional avidity and broad protein target specificities and their frequencies correlate with the overall size of the CD4+ memory compartment reflecting the immunological age of an individual. COVID-19 patients have strongly increased SARS-CoV-2-specific inflammatory T cell responses that are correlated with severity. Strikingly however, patients with severe COVID-19 displayed lower TCR functional avidity and less clonal expansion. Our data suggest that a low avidity pre-existing T cell memory negatively impacts on the T cell response quality against neoantigens such as SARS-CoV-2, which may predispose to develop inappropriate immune reactions especially in the elderly. We propose the immunological age as an independent risk factor to develop severe COVID-19.


Subject(s)
COVID-19
7.
David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustin Albillos; Pietro Invernizzi; Javier Fernandez; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit Maehle Grimsrud; Chiara Milani; Fatima Aziz; Jan Kassens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raul de Pablo; Adolfo Garrido Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo de Nalda; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julia; Antonio Pesenti; Antonio Voza; David Jimenez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestana; Elena Sandoval; Elvezia Maria Paraboschi; Enrique Navas; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Tellez; Albert Blanco-Grau; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Javier Martin; Jeanette Erdmann; Jose Ferrusquia-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura Rachele Bettini; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Marco Schaefer; Maria Carrabba; Maria del Mar Riveiro Barciela; Maria Eloina Figuera Basso; Maria Grazia Valsecchi; Maria Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angio; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodriguez-Gandia; Monica Bocciolone; Monica Miozzo; Nicole Braun; Nilda Martinez; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M. Rodrigues; Aaron Blandino Ortiz; Ricardo Ferrer Roca; Roberta Gualtierotti; Rosa Nieto; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Valter Monzani; Tanja Wesse; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero Gomez; Mauro D'Amato; Stefano Duga; Jesus M. Banales; Johannes Roksund Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom Hemming Karlsen.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.05.31.20114991

ABSTRACT

Background. Respiratory failure is a key feature of severe Covid-19 and a critical driver of mortality, but for reasons poorly defined affects less than 10% of SARS-CoV-2 infected patients. Methods. We included 1,980 patients with Covid-19 respiratory failure at seven centers in the Italian and Spanish epicenters of the SARS-CoV-2 pandemic in Europe (Milan, Monza, Madrid, San Sebastian and Barcelona) for a genome-wide association analysis. After quality control and exclusion of population outliers, 835 patients and 1,255 population-derived controls from Italy, and 775 patients and 950 controls from Spain were included in the final analysis. In total we analyzed 8,582,968 single-nucleotide polymorphisms (SNPs) and conducted a meta-analysis of both case-control panels. Results. We detected cross-replicating associations with rs11385942 at chromosome 3p21.31 and rs657152 at 9q34, which were genome-wide significant (P<5x10-8) in the meta-analysis of both study panels, odds ratio [OR], 1.77; 95% confidence interval [CI], 1.48 to 2.11; P=1.14x10-10 and OR 1.32 (95% CI, 1.20 to 1.47; P=4.95x10-8), respectively. Among six genes at 3p21.31, SLC6A20 encodes a known interaction partner with angiotensin converting enzyme 2 (ACE2). The association signal at 9q34 was located at the ABO blood group locus and a blood-group-specific analysis showed higher risk for A-positive individuals (OR=1.45, 95% CI, 1.20 to 1.75, P=1.48x10-4) and a protective effect for blood group O (OR=0.65, 95% CI, 0.53 to 0.79, P=1.06x10-5). Conclusions. We herein report the first robust genetic susceptibility loci for the development of respiratory failure in Covid-19. Identified variants may help guide targeted exploration of severe Covid-19 pathophysiology.


Subject(s)
Severe Acute Respiratory Syndrome , COVID-19 , Respiratory Insufficiency
8.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.05.18.100545

ABSTRACT

COVID-19 is a global pandemic caused by the SARS-CoV-2 coronavirus. T cell response is a critical part of both individual and herd immunity to SARS-CoV-2 and the efficacy of developed vaccines. However neither the dynamics and cross-reactivity of the SARS-CoV-2-specific T cell response nor the diversity of resulting immune memory are well understood. In this study we use longitudinal high-throughput T cell receptor sequencing to track changes in the T cell repertoire following two mild cases of COVID-19 infection. In both donors we identified SARS-CoV-2-responding CD4+ and CD8+ T cell clones. We describe characteristic motifs in TCR sequences of COVID-19-reactive clones, suggesting the existence of immunodominant epitopes. We show that in both donors the majority of infection-reactive clonotypes acquire memory phenotypes. Certain CD4+ clones were detected in the memory fraction at the pre-infection timepoint, suggesting participation of pre-existing cross-reactive memory T cells in the immune response to SARS-CoV-2.


Subject(s)
COVID-19
9.
arxiv; 2020.
Preprint in English | PREPRINT-ARXIV | ID: ppzbmed-2005.08290v3

ABSTRACT

COVID-19 is a global pandemic caused by the SARS-CoV-2 coronavirus. T cells play a key role in the adaptive antiviral immune response by killing infected cells and facilitating the selection of virus-specific antibodies. However neither the dynamics and cross-reactivity of the SARS-CoV-2-specific T cell response nor the diversity of resulting immune memory are well understood. In this study we use longitudinal high-throughput T cell receptor (TCR) sequencing to track changes in the T cell repertoire following two mild cases of COVID-19. In both donors we identified CD4+ and CD8+ T cell clones with transient clonal expansion after infection. The antigen specificity of CD8+ TCR sequences to SARS-CoV-2 epitopes was confirmed by both MHC tetramer binding and presence in large database of SARS-CoV-2 epitope-specific TCRs. We describe characteristic motifs in TCR sequences of COVID-19-reactive clones and show preferential occurence of these motifs in publicly available large dataset of repertoires from COVID-19 patients. We show that in both donors the majority of infection-reactive clonotypes acquire memory phenotypes. Certain T cell clones were detected in the memory fraction at the pre-infection timepoint, suggesting participation of pre-existing cross-reactive memory T cells in the immune response to SARS-CoV-2.


Subject(s)
COVID-19
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