Virus-Receptor Interactions of Glycosylated SARS-CoV-2 Spike and Human ACE2 Receptor

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Abstract

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  1. SciScore for 10.1101/2020.06.25.172403: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    The expression construct was transfected in HEK293F cells using polyethylenimine.
    HEK293F
    suggested: RRID:CVCL_6642)
    ppVSV-SARS-2-S): 293T cells were transfected with an expression plasmid encoding SARS-CoV-2 Spike (pcDNAintron-SARS-2-SΔ19).
    293T
    suggested: None
    Target cells VeroE6 were seeded in 24-well plates (5×105 cells/mL) at a density of 80% coverage.
    VeroE6
    suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)
    To quantify the ability of various SARS-CoV-2 S mutants to mediate fusion, effector cells (HEK293T) were transiently transfected with the indicated pcDNAintron-SARS-2-S expression vector or measles virus H and F (78)
    HEK293T
    suggested: None
    To visualize cell-to-cell fusion, Vero cells were co-transfected with pGFP and the pcDNAintron-SARS-2-S constructs.
    Vero
    suggested: None
    Software and Algorithms
    SentencesResources
    Detection and relative quantification of the prevalence of individual glycans was accomplished using the total ion mapping (TIM) and neutral loss scan (NL scan) functionality of the Xcalibur software package version 2.0 (Thermo Fisher Scientific) as previously described (38,39).
    Xcalibur
    suggested: (Thermo Xcalibur, RRID:SCR_014593)
    Proteome Discoverer 1.4) with mass tolerance set as 20 ppm for precursors and 0.5 Da for fragments.
    Proteome Discoverer
    suggested: (Proteome Discoverer, RRID:SCR_014477)
    The search output was filtered using ProteoIQ (v2.7) to reach a 1% false discovery rate at protein level and 10% at peptide level.
    ProteoIQ
    suggested: (PremierBiosoft Proteo IQ Software, RRID:SCR_018072)
    The S protein sequences from all of those genomes were aligned using EMBOSS needle v6.6.0 (61) via the EMBL-EBI provided web service (69).
    EMBOSS
    suggested: (EMBOSS, RRID:SCR_008493)
    For further sequence analysis of SARS-CoV-2 S variants, the genomes of SARS-CoV-2 were downloaded from NCBI and GISAID and further processed using Biopython 1.76 to extract all sequences annotated as “surface glycoprotein” and to remove any incomplete sequence as well as any sequence containing unassigned amino acids.
    Biopython
    suggested: (Biopython, RRID:SCR_007173)
    For sequence analysis of human ACE2 variants, the single nucleotide polymorphisms (SNPs) of ACE2 were extracted from the NCBI dbSNP database and filtered for missense mutation entries with a reported minor allele frequency.
    dbSNP
    suggested: (dbSNP, RRID:SCR_002338)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    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: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

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