Virus-host interactome and proteomic survey of PMBCs from COVID-19 patients reveal potential virulence factors influencing SARS-CoV-2 pathogenesis

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Abstract

The ongoing coronavirus disease (COVID-19) pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a global public health concern due to relatively easy person-to-person transmission and the current lack of effective antiviral therapy. However, the exact molecular mechanisms of SARS-CoV-2 pathogenesis remain largely unknown. We exploited an integrated proteomics approach to systematically investigate intra-viral and virus-host interactomes for the identification of unrealized SARS-CoV-2 host targets and participation of cellular proteins in the response to viral infection using peripheral blood mononuclear cells (PBMCs) isolated from COVID-19 patients. Using this approach, we elucidated 251 host proteins targeted by SARS-CoV-2 and more than 200 host proteins that are significantly perturbed in COVID-19 derived PBMCs. From the interactome, we further identified that non-structural protein nsp9 and nsp10 interact with NKRF, a NF-КB repressor, and may precipitate the strong IL-8/IL-6 mediated chemotaxis of neutrophils and overexuberant host inflammatory response observed in COVID-19 patients. Our integrative study not only presents a systematic examination of SARS-CoV-2-induced perturbation of host targets and cellular networks to reflect disease etiology, but also reveals insights into the mechanisms by which SARS-CoV-2 triggers cytokine storms and represents a powerful resource in the quest for therapeutic intervention.

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  1. SciScore for 10.1101/2020.03.31.019216: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics statement: This study was approved by the Ethics Committee of Shanghai Public Health Clinical Center (#YJ-2020-S052-02).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Cell lines, plasmids, and antibodies: HEK293 and A549 cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM; Gibco-BRL) containing 4 mM glutamine and 10% FBS.
    antibodies
    suggested: None
    HEK293
    suggested: None
    Primary antibodies were purchased from the following venters: mouse anti-Flag Purification of ZIKV viral protein complexes: HEK293 were transfected with 3xFlag-tagged plasmids encoding each SARS-CoV-2 protein by Lipofectamine 3000 (Thermo Fisher Scientific, #L3000015).
    anti-Flag
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Cell lines, plasmids, and antibodies: HEK293 and A549 cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM; Gibco-BRL) containing 4 mM glutamine and 10% FBS.
    A549
    suggested: None
    Vero cells were cultured in DMEM with 5% FBS and 4 mM glutamine.
    Vero
    suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)
    3×107 HEK293 cells were harvested in 10 ml lysis buffer (50 mM Tris-HCl [pH 7.5], 150 mM NaCl, 0.5% Nonidet P40, 10% glycerol, phosphatase inhibitors and protease inhibitors) at 72 h post transfection, followed by centrifugation and filtration (0.45 μm) to remove debris.
    HEK293
    suggested: None
    Software and Algorithms
    SentencesResources
    The acquired MS/MS data were analyzed against a UniProtKB Human database (database released on Sept. 30, 2018) containing SARS-CoV-2 viral proteins using Maxquant V1.6.10.43.
    UniProtKB
    suggested: (UniProtKB, RRID:SCR_004426)
    Primer sequences for qPCR were as follow: IL-6 forward: AACCTGAACCTTCCAAAGATGG, IL-6 reverse: TCTGGCTTGTTCCTCACTACT; IL-8 forward: TCTTGCACAAATATTTGATGC, IL-8 reverse: CCACTGTGCCTTGGTTTC; GAPGH forward: GAGTCAACGGATTTGGTCGT, GAPGH reverse: TTGATTTTGGAGGGATCTCG; TNFα forward: CTCCAGGCGGTGCTTGTTC, TNFα reverse: GGCTACAGGCTTGTCACTCG; NKRF forward: GTAAACATGCAGCTGCCGAC, NKRF reverse: CGTGCACACGGGATTTGAAG. siRNA gene silencing: Small interfering RNA (siRNA) targeting human NKRF (#A10001) and negative control siRNAs were purchased from GenePharma.
    GenePharma
    suggested: None

    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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • 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

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.