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Unbiased cleavage site prediction uncovers viral antagonism of host innate immunity by SARS-CoV-2 3C-like protease
Nora Yucel, Silvia Marchiano, Evan Tchelepi, Germana Paterlini, Ivan A. Kuznetsov, Kristina Li, Quentin McAfee, Nehaar Nimmagadda, Andy Ren, Sam Shi, Alyssa Grogan, Aikaterini Kontrogianni-Konstantopoulos, Charles Murry, Zoltan Arany
Nora Yucel, Silvia Marchiano, Evan Tchelepi, Germana Paterlini, Ivan A. Kuznetsov, Kristina Li, Quentin McAfee, Nehaar Nimmagadda, Andy Ren, Sam Shi, Alyssa Grogan, Aikaterini Kontrogianni-Konstantopoulos, Charles Murry, Zoltan Arany
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Research Article COVID-19 Virology

Unbiased cleavage site prediction uncovers viral antagonism of host innate immunity by SARS-CoV-2 3C-like protease

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Abstract

How SARS-CoV-2 causes a wide range of clinical manifestations and disease severity remains poorly understood. SARS-CoV-2 encodes 2 proteases (3CLPro and PLPro), vital for viral production, but also promiscuous with respect to host protein targets. Pharmacological inhibition of 3CLPro markedly reduced hospitalization and death in Phase 2/3 clinical studies. Here, we develop a bioinformatic algorithm, leveraging experimental data from SARS-CoV, to predict host cleavage targets of 3CLPro. We capture targets of 3CLPro described previously for SARS-CoV-2, as well as thousands of putative targets. We validate numerous targets cleaved during infection, including the giant sarcomeric protein obscurin and the innate immune protein OAS1. A long form of OAS1, p46, has been associated in numerous GWAS studies with lesser COVID disease severity. We show that 3CLPro cleaves p46 OAS1 immediately upstream of a known prenylation domain, relocalizing OAS1 from subcellular membranes to the cytosol, rendering it akin to the nonprotective, cytosolic p42 isoform. Similar OAS1 relocalization occurs upon infection by SARS-CoV-2. Our data provide a high-throughput resource to identify putative host cleavage targets of 3CLPro and reveal a mechanism by which SARS-CoV-2 antagonizes host innate immunity in individuals with the protective p46 isoform of OAS1.

Authors

Nora Yucel, Silvia Marchiano, Evan Tchelepi, Germana Paterlini, Ivan A. Kuznetsov, Kristina Li, Quentin McAfee, Nehaar Nimmagadda, Andy Ren, Sam Shi, Alyssa Grogan, Aikaterini Kontrogianni-Konstantopoulos, Charles Murry, Zoltan Arany

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Figure 1

Bioinformatic prediction of SARS-COV2 3CL human protein targets.

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Bioinformatic prediction of SARS-COV2 3CL human protein targets.
(A) Dia...
(A) Diagram of SARS-CoV-2 3C-like protease (3CLPro) function. 3CLPro cleaves at 11 sites within polypeptides pp1a and pp1ab, generated from overlapping reading frames ORF1a and ORF1ab. Cleavage by 3CLPro, and papain-like protease (PLPro) liberates nonstructural proteins (NSPs) required for viral function. (B) Identification and scoring of 3CLPro cleavage sites within the human proteome. Scores for each position along the cleavage site (P5-P3′) obtained from published SARS-CoV 2 3CLPro data. In total, 195,684 scored cleavage sites (>0) were detected across the human proteome for P1 position of M, H or Q. (C) Distribution of all scores (Log10Score). Published cleavage sites shown in red. (D) Correlation of predicted score with published Kcat/Km values for SARS-COV 3CLPro. Scores generated in this study compared with NetCorona1.0 and 3CLP algorithms. For R2 calculations, the cleavage site between NSP9 and NSP10 was excluded. (E) Receiver operator curve (ROC) analysis to assess predictive power of SARSPORT versus 3CLP based on scores of published cleavage sites. Cumulative percentage of scores plotted versus score rank (highest score = 1, lowest score = 100), and area under the curve (AUC) captured. A 95% CI was determined by Wilson/Brown method. (F) Secondary structure of high scoring sites (>0.1) with P1 = Q. Q100aa window centered around P1 was analyzed by JPRED4 to predict secondary structure (“-” = unstructured, “H” = α-helix, “E” = β-sheet). Highlighted is a predicted site in Cadherin-6 (CADH6) shown in AlphaFold. (G) Fraction of each P1 (Q) within each secondary structure type (unstructured, α-helix, β-sheet). Comparisons shown for predicted cleavage sites with score > 0.1 versus published cleavage sites versus published secondary structure distribution of all glutamines. Statistical analysis calculated using χ2 goodness of fit. (H) Score distribution of published cleavage sites (P1=Q) by secondary structure. Statistics calculated by 1-way ANOVA with Holm-Sidak multiple-comparison test.

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