2020
DOI: 10.1101/2020.10.07.326462
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Genome-scale identification of SARS-CoV-2 and pan-coronavirus host factor networks

Abstract: SUMMARYThe COVID-19 pandemic has claimed the lives of more than one million people worldwide. The causative agent, SARS-CoV-2, is a member of the Coronaviridae family, which are viruses that cause respiratory infections of varying severity. The cellular host factors and pathways co-opted by SARS-CoV-2 and other coronaviruses in the execution of their life cycles remain ill-defined. To develop an extensive compendium of host factors required for infection by SARS-CoV-2 and three seasonal coronaviruses (HCoV-OC4… Show more

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Cited by 84 publications
(159 citation statements)
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References 88 publications
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“…This finding is in contrast to a number of recent studies that performed genome-scale CRISPR-Cas9 screens in VeroE6, Huh-7, Huh-7.5.1, Huh-7.5, and ACE2-overexpressing A549 cells, which failed to identify significant enrichment of the same PPI network ( Baggen et al., 2020 ; Daniloski et al., 2020 ; Heaton et al., 2020 ; Schneider et al, 2020 ; Wang et al., 2020 ; Wei et al., 2020 ; Zhu et al., 2020 ). We speculate that this difference might be due in part to well-established advantages of focused screens, including (1) improved signal-to-noise ratios in the absence of sgRNAs targeting genes that are likely to dominate the screen (e.g., the SARS-CoV-2 cellular receptor, ACE2), (2) increased coverage by including more sgRNAs per gene (ten versus four), (3) feasibility of exploring multiple screening conditions (e.g., different viruses and temperatures), and (4) higher screen representation (i.e., >1,500-fold versus < 750-fold), as well as the lower propensity of Huh-7.5 cells to undergo syncytia formation in relation to ACE2-overexpressing A549 cells, which potentially confounds pooled screening results ( DeWeirdt et al., 2020 ; Doench, 2018 ; Parnas et al., 2015 ; Schneider et al, 2020 ). Thus, deeply probing individual interactome proteins by using a focused sgRNA library coupled with functional readouts across multiple conditions allowed us to identify many host factors required for SARS-CoV-2 infection that were missed in genome-scale CRISPR screens.…”
Section: Discussioncontrasting
confidence: 99%
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“…This finding is in contrast to a number of recent studies that performed genome-scale CRISPR-Cas9 screens in VeroE6, Huh-7, Huh-7.5.1, Huh-7.5, and ACE2-overexpressing A549 cells, which failed to identify significant enrichment of the same PPI network ( Baggen et al., 2020 ; Daniloski et al., 2020 ; Heaton et al., 2020 ; Schneider et al, 2020 ; Wang et al., 2020 ; Wei et al., 2020 ; Zhu et al., 2020 ). We speculate that this difference might be due in part to well-established advantages of focused screens, including (1) improved signal-to-noise ratios in the absence of sgRNAs targeting genes that are likely to dominate the screen (e.g., the SARS-CoV-2 cellular receptor, ACE2), (2) increased coverage by including more sgRNAs per gene (ten versus four), (3) feasibility of exploring multiple screening conditions (e.g., different viruses and temperatures), and (4) higher screen representation (i.e., >1,500-fold versus < 750-fold), as well as the lower propensity of Huh-7.5 cells to undergo syncytia formation in relation to ACE2-overexpressing A549 cells, which potentially confounds pooled screening results ( DeWeirdt et al., 2020 ; Doench, 2018 ; Parnas et al., 2015 ; Schneider et al, 2020 ). Thus, deeply probing individual interactome proteins by using a focused sgRNA library coupled with functional readouts across multiple conditions allowed us to identify many host factors required for SARS-CoV-2 infection that were missed in genome-scale CRISPR screens.…”
Section: Discussioncontrasting
confidence: 99%
“…Importantly, these regulators of lipid and cholesterol homeostasis are all constitutively expressed in Huh-7.5 cells ( Figure S1 ), as well as in cells and tissues known to be infected by SARS-CoV-2 ( Figure S4 ). These results are also consistent with our accompanying work ( Schneider et al, 2020 ) demonstrating that regulators of cholesterol homeostasis, including SCAP, SREBF2, membrane-bound transcription factor site 1 protease (MBTPS1), MBTPS2, and secretion associated ras related GTPase 1A (SAR1A) play critical roles during coronavirus infection and further suggest that targeting SCAP might be a potential pan-coronavirus therapeutic strategy.
Figure 5 Pathway focused views of high confidence CRISPR hits (A) Heatmap of Z scores for the union of positively enriched coronavirus host factors across experimental replicates in all infection conditions.
…”
Section: Discussionsupporting
confidence: 91%
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“…Previous CRISPR screens were performed in cell-based models of SARS-CoV-2 infection that overexpressed an ACE2 transgene 9 , 10 , represented cell types not primarily targeted by SARS-CoV-2 11 , or were non-human cells 12 . While these studies elucidated major features of SARS-CoV-2 biology, we reasoned that the cell lines used would not have enabled the discovery of regulators of ACE2 expression in relevant human cell types.…”
Section: Introductionmentioning
confidence: 99%
“…Coronaviruses are known to interact with the autophagy pathway ( Carmona-Gutierrez et al., 2020 ; Delorme-Axford and Klionsky, 2020 ; Miller et al., 2020 ). Although core autophagy genes don’t seem to be required for coronavirus infection ( Zhao et al., 2007 ; Schneider et al., 2021 ; Hoffmann et al., 2020 ), the nonlipidated form of LC3 (LC3-I) appears to be important for viral replication in the case of mouse hepatitis virus infection ( Reggiori et al., 2010 ). LC3 is one of the proteins marking the membranes of autophagosomes, which viral replication complexes strongly resemble; both are derived from the ER, and both are double-membrane vesicles.…”
Section: Main Textmentioning
confidence: 99%