Subcellular mapping of the protein landscape of SARS-CoV-2 infected cells for target-centric drug repurposing
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Abstract
The COVID-19 pandemic has resulted in millions of deaths and affected socioeconomic structure worldwide and the search for new antivirals and treatments are still ongoing. In the search for new drug target and to increase our understanding of the disease, we used large scale immunofluorescence to explore the host cell response to SARS-CoV-2 infection. Among the 602 host proteins studied in this host response screen, changes in abundance and subcellular localization were observed for 97 proteins, with 45 proteins showing increased abundance and 10 reduced abundances. 20 proteins displayed changed localization upon infection and an additional 22 proteins displayed altered abundance and localization, together contributing to diverse reshuffling of the host cell protein landscape. We then selected existing and approved small-molecule drugs (n =123) against our identified host response proteins and identified 3 compounds - elesclomol, crizotinib and rimcazole, that significantly reduced antiviral activity. Our study introduces a novel, targeted and systematic approach based on host protein profiling, to identify new targets for drug repurposing. The dataset of ∼75,000 immunofluorescence images from this study are published as a resource available for further studies.
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SciScore for 10.1101/2022.03.29.482838: (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
Antibodies Sentences Resources Proteins with more than 60% identity across the whole length of the antigen sequences used to generate the HPA antibody were selected. HPAsuggested: NoneSecondary antibodies goat anti□mouse Alexa Fluor 555 (A21424), goat anti□rabbit Alexa Fluor 488 (A11034), and goat anti□chicken Alexa Fluor 647 (A21449), were diluted to 2.5 µg/ml in PBS containing 4% FBS. anti□rabbitsuggested: Noneanti□chickensuggested: NonePrimary antibodies generated at the HPA were diluted to 2 µg/ml, commercial Sigma-1 R antibody to 3 µg/ml (MAB1076, R&D systems) chicken Calreticulin (Abcam, ab2908) to 1 µg/ml and mouse SARS-CoV-2 … SciScore for 10.1101/2022.03.29.482838: (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
Antibodies Sentences Resources Proteins with more than 60% identity across the whole length of the antigen sequences used to generate the HPA antibody were selected. HPAsuggested: NoneSecondary antibodies goat anti□mouse Alexa Fluor 555 (A21424), goat anti□rabbit Alexa Fluor 488 (A11034), and goat anti□chicken Alexa Fluor 647 (A21449), were diluted to 2.5 µg/ml in PBS containing 4% FBS. anti□rabbitsuggested: Noneanti□chickensuggested: NonePrimary antibodies generated at the HPA were diluted to 2 µg/ml, commercial Sigma-1 R antibody to 3 µg/ml (MAB1076, R&D systems) chicken Calreticulin (Abcam, ab2908) to 1 µg/ml and mouse SARS-CoV-2 Spike monoclonal antibody (GTX632604 GeneTex) to 1 µg/ml. Calreticulin ( Abcam ,suggested: NoneSecondary antibodies goat anti□mouse Alexa Fluor 555 (A21424), goat anti□rabbit Alexa Fluor 488 (A11034), and goat anti□chicken Alexa Fluor 647 (A21449), were diluted to 2.5 µg/ml in PBS containing 4% BSA. anti□mousesuggested: (C. Birchmeier - Max Delbruck Center for Molecular Medicine, Berlin, Germany Cat# Guinea pig anti-mouse Tlx3 polyclonal antibody, RRID:AB_2532145)Experimental Models: Cell Lines Sentences Resources Cell culture and virus infection: Vero E6 cell line was grown at 37°C in a 5% CO2 condition in Dulbecco’ modified Eagle’s medium (DMEM) containing 10% FBS (Gibco). Vero E6suggested: NoneSoftware and Algorithms Sentences Resources Antibody selection: Validated antibodies from the HPA project were blasted against the Chlorocebus sabaeus sequence from Ensembl. Ensemblsuggested: (Ensembl, RRID:SCR_002344)Generation of virus and host protein interaction network: Viral bait - host protein and host protein-protein interaction network was visualized with Cytoscape (63). Cytoscapesuggested: (Cytoscape, RRID:SCR_003032)Human protein - protein interactions were derived from String database (64) Stringsuggested: (STRING, RRID:SCR_005223), KEGG database ( KEGGsuggested: (KEGG, RRID:SCR_012773), Reactome database (66), WikiPathways and Human Phenotype Ontology. WikiPathwayssuggested: (WikiPathways, RRID:SCR_002134)Data was plotted using Graphpad Prism software. Graphpad Prismsuggested: (GraphPad Prism, RRID:SCR_002798)Results from OddPub: Thank you for sharing your data.
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:A limitation of this study is that results are based on data from the non-human cell line Vero E6, originating from the African green monkey. This cell line is known for its dampened innate immune response and permissiveness to SARS-CoV-2, which makes it a feasible but a limiting virology model (62). When comparing subcellular localization of the hits from the host-response screen between non-infected Vero E6 cells and the immunofluorescence data on human cell lines as previously generated within the HPA, 80% of the patterns overlap between the species (data publicly available at www.proteinatlas.org). Looking at staining similarities across all proteins (n=546) stained in Vero E6 in addition to human cell lines within the HPA, 75% show overlap in subcellular localization. Due to the inter-species similarities, we speculate that host proteome landscape responses to SARS-CoV-2 infection in a partially similar manner in human cell lines. In this work we performed targeted phenotyping of disease relevant proteins as a funnel to guide target selection for drug repurposing or discovery. Further, we suggest that “targeted phenotyping” can be used to prioritize host targets for novel drugs, in this case for the treatment of COVID-19. Our approach can be applied as a stand-alone filter or as an integrated layer in multi-omics study for the selection of relevant host responses in infectious diseases. Given that the approach is easily scalable and transferable for infectious agents or ...
Results from TrialIdentifier: We found the following clinical trial numbers in your paper:
Identifier Status Title NCT04890509 Completed A Study of Bemcentinib for the Treatment of COVID-19 in Hosp… 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.
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Results from scite Reference Check: We found no unreliable references.
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