A virus-specific monocyte inflammatory phenotype is induced by SARS-CoV2 at the immune-epithelial interface
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Abstract
Infection by SARS-CoV2 provokes a potentially fatal pneumonia with multiorgan failure, and high systemic inflammation. To gain mechanistic insight and ferret out the root of this immune dysregulation, we modeled by in vitro co-culture the interactions between infected epithelial cells and immunocytes. A strong response was induced in monocytes and B cells, with a SARS-CoV2-specific inflammatory gene cluster distinct from that seen in influenza-A or Ebola virus-infected co-cultures, and which reproduced deviations reported in blood or lung myeloid cells from COVID-19 patients. A substantial fraction of the effect could be reproduced after individual transfection of several SARS-CoV2 proteins (Spike and some non-structural proteins), mediated by soluble factors, but not via transcriptional induction. This response was greatly muted in monocytes from healthy children, perhaps a clue to the age-dependency of COVID-19. These results suggest that the inflammatory malfunction in COVID-19 is rooted in the earliest perturbations that SARS-CoV2 induces in epithelia.
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SciScore for 10.1101/2021.09.29.462202: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization We first selected transcripts with relevant variation by comparing (i) the vector of inter-replicate coefficients of variation (CV), a reliable indicator of experimental noise (computed as the mean of all inter-replicate CVs, this for every gene) with (ii) the overall CV within the dataset (averaged from CV computed from 1,000 randomly picked dataset pairs, excluding replicates). Blinding not detected. Power Analysis not detected. Cell Line Authentication Contamination: Cultures were verified to be free of mycoplasma contamination using MycoAlert Mycoplasma Detection Kit (Lonza). Table 2: Resources
Antibodies Sentences Resources After … SciScore for 10.1101/2021.09.29.462202: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization We first selected transcripts with relevant variation by comparing (i) the vector of inter-replicate coefficients of variation (CV), a reliable indicator of experimental noise (computed as the mean of all inter-replicate CVs, this for every gene) with (ii) the overall CV within the dataset (averaged from CV computed from 1,000 randomly picked dataset pairs, excluding replicates). Blinding not detected. Power Analysis not detected. Cell Line Authentication Contamination: Cultures were verified to be free of mycoplasma contamination using MycoAlert Mycoplasma Detection Kit (Lonza). Table 2: Resources
Antibodies Sentences Resources After blocking the non-specific binding sites by incubation in blocking buffer (PBS + 10% of donkey serum) for 1 h, cells were stained (2 h, RT) with either: anti-GFP AlexaFluor488 (clone FM264G, BioLegend, #338008, 1:200) anti-GFPsuggested: (BioLegend Cat# 338008, RRID:AB_2563288)For EBOV and CoV2, cells were stained 30 min with the secondary antibodies anti-rabbit and anti-goat AlexaFluor488, respectively (both 1:500, Jackson ImmunoResearch). anti-rabbitsuggested: Noneanti-goatsuggested: (Jackson ImmunoResearch Labs Cat# 005-500-003, RRID:AB_2337011)The cells were incubated overnight at 4°C with a rabbit antibody recognizing CoV2 N protein (Rockland, #200-401-A50; 1:1000) and a goat-anti-EBOV VP35 antibody (custom-made by Antagene, 1:200) in Cov2 and EBOV infection respectively. #200-401-A50suggested: (Rockland Cat# 200-401-A50, RRID:AB_828403)VP35suggested: (Thermo Fisher Scientific Cat# PA5-112029, RRID:AB_2866765)The cells were washed 4 times in PBS and incubated with goat anti-rabbit antibody conjugated with AlexaFluor488 or donkey-anti-goat antibody conjugated with AlexaFluor594 for 1 h at RT (Invitrogen; 1:200). 4’,6-diamidino-2-phenylindole (DAPI; Sigma-Aldrich) was used at 200 ng/mL for nuclei staining. donkey-anti-goatsuggested: NoneExperimental Models: Cell Lines Sentences Resources Viruses: SARS-CoV2 stocks (isolate USA_WA1/2020), Influenza A PR8-GFP virus (A/Puerto Rico/8/1934(H1N1) and EBOV (isolate Mayinga) were grown in Vero E6 cells and purified by sucrose ultracentrifugation and titers determined. Vero E6suggested: RRID:CVCL_XD71)For Transwell, HEK cells were transfected and re-plated onto Transwell inserts. HEKsuggested: CLS Cat# 300192/p777_HEK293, RRID:CVCL_0045), hereafter IAV) and Madin-Darby canine kidney (MDCK) cells were provided by D. Lingwood (Ragon Institute). MDCKsuggested: CLS Cat# 602280/p823_MDCK_(NBL-2, RRID:CVCL_0422)Epithelial cells, in suspension (Caco-2) or seeded 24 h prior (HEK), at a concentration of 25.103 cells/well, were transfected with 100 ng of each plasmid using Lipofectamine™ 3000 reagent (Thermo Fisher) in Opti-MEM™ medium (Gibco) and washed 8 – 12 h later. Caco-2suggested: NoneRecombinant DNA Sentences Resources Most proteins were cloned in a pLVX-Puro backbone under an EF1a promoter; Spike was cloned in a pTwist backbone under an EF1a promoter. pLVX-Purosuggested: RRID:Addgene_154877)pTwistsuggested: RRID:Addgene_164438)Software and Algorithms Sentences Resources Flow cytometry was performed on a FACSymphonyTM flow cytometer (BD Biosciences) and analysed using FlowJo 10 software. Immunohistochemistry: For CoV2 and EBOV, Caco-2 cells seeded in 96-well plates were infected as described above. FlowJosuggested: (FlowJo, RRID:SCR_008520)RNA-seq data processing and QC: Reads were aligned to the human genome (GENCODE GRCh38 primary assembly and gene annotations v27) with STAR 2.5.4a (https://github.com/alexdobin/STAR/releases). GENCODEsuggested: (GENCODE, RRID:SCR_014966)The gene-level quantification was calculated by featureCounts (http://subread.sourceforge.net/). featureCountssuggested: (featureCounts, RRID:SCR_012919)http://subread.sourceforge.net/suggested: (Subread, RRID:SCR_009803)Raw read counts tables were normalized by median of ratios method with DESeq2 package from Bioconductor (https://bioconductor.org/packages/release/bioc/html/DESeq2.html) (5) and then converted to GCT and CLS formats. DESeq2suggested: (DESeq, RRID:SCR_000154)Bioconductorsuggested: (Bioconductor, RRID:SCR_006442)https://bioconductor.org/packages/release/bioc/html/DESeq2.htmlsuggested: (DESeq2, RRID:SCR_015687)Reads were aligned by STAR 2.5.4a, with, for SARS-CoV2, specific parameters suggested in Kim et al.(6). STARsuggested: (STAR, RRID:SCR_004463)Finally, the RNA integrity for all samples was measured by median Transcript Integrity Number (TIN) across human housekeeping genes with RSeQC software (http://rseqc.sourceforge.net/#tin-py). RSeQCsuggested: (RSeQC, RRID:SCR_005275)dn signature in Gene Ontology (GO) biological processes pathways and Reactome pathways was computed using Fisher’s exact test with BH-FDR correction, through the g:Profiler interface. Reactomesuggested: (Reactome, RRID:SCR_003485)g:Profilersuggested: (G:Profiler, RRID:SCR_006809)In order to overcome the inherent redundancy of GO pathways, significant pathways were then interpreted and visualized as an enrichment network using Cytoscape (v3.8.2) (7) and its EnrichmentMap and AutoAnnotate modules. EnrichmentMapsuggested: (EnrichmentMap, RRID:SCR_016052)Briefly, Cytoscape allows collapsing of redundant significant pathways into a single biological theme using the Jaccard Overlap combined index (cutoff=0.5), thus simplifying the interpretation. Cytoscapesuggested: (Cytoscape, RRID:SCR_003032)Regarding the type I IFN and IFN gamma signatures, data were downloaded from the Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) from two human published datasets GSE142672 and GSE46599 (8). Gene Expression Omnibussuggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)Analyses and plots were done using S-Plus (v8.2.0), RStudio (v.1.2.5019) and GraphPad Prism (v.8.4.3) RStudiosuggested: (RStudio, RRID:SCR_000432)GraphPad Prismsuggested: (GraphPad Prism, RRID:SCR_002798)Results from OddPub: Thank you for sharing your data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 56 and 57. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
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- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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