| Literature DB >> 35471084 |
Seyed Arad Moghadasi1,2,3, Morgan A Esler1,3, Yuka Otsuka4, Jordan T Becker1,2,3, Sofia N Moraes1,2,3, Constance B Anderson5, Srinivas Chamakuri6, Christopher Belica1,2,3, Chloe Wick1,2,3, Daniel A Harki2,5, Damian W Young6,7,8, Louis Scampavia4, Timothy P Spicer4, Ke Shi1,2,3, Hideki Aihara1,2,3, William L Brown1,2,3, Reuben S Harris1,2,3,9.
Abstract
The main protease, Mpro, of SARS-CoV-2 is required to cleave the viral polyprotein into precise functional units for virus replication and pathogenesis. Here, we report quantitative reporters for Mpro function in living cells in which protease inhibition by genetic or chemical methods results in robust signal readouts by fluorescence (enhanced green fluorescent protein [eGFP]) or bioluminescence (firefly luciferase). These gain-of-signal systems are scalable to high-throughput platforms for quantitative discrimination between Mpro mutants and/or inhibitor potencies as evidenced by validation of several reported inhibitors. Additional utility is shown by single Mpro amino acid variants and structural information combining to demonstrate that both inhibitor conformational dynamics and amino acid differences are able to influence inhibitor potency. We further show that a recent variant of concern (Omicron) has an unchanged response to a clinically approved drug, nirmatrelvir, whereas proteases from divergent coronavirus species show differential susceptibility. Together, we demonstrate that these gain-of-signal systems serve as robust, facile, and scalable assays for live cell quantification of Mpro inhibition, which will help expedite the development of next-generation antivirals and enable the rapid testing of emerging variants. IMPORTANCE The main protease, Mpro, of SARS-CoV-2 is an essential viral protein required for the earliest steps of infection. It is therefore an attractive target for antiviral drug development. Here, we report the development and implementation of two complementary cell-based systems for quantification of Mpro inhibition by genetic or chemical approaches. The first is fluorescence based (eGFP), and the second is luminescence based (firefly luciferase). Importantly, both systems rely upon gain-of-signal readouts such that stronger inhibitors yield higher fluorescent or luminescent signal. The high versatility and utility of these systems are demonstrated by characterizing Mpro mutants and natural variants, including Omicron, as well as a panel of existing inhibitors. These systems rapidly, safely, and sensitively identify Mpro variants with altered susceptibilities to inhibition, triage-nonspecific, or off-target molecules and validate bona fide inhibitors, with the most potent thus far being the first-in-class drug nirmatrelvir.Entities:
Keywords: SARS-CoV-2 (SARS2); coronavirus; gain-of-signal cell-based systems; main protease (Mpro/3CLpro); viral protease inhibitors
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Year: 2022 PMID: 35471084 PMCID: PMC9239272 DOI: 10.1128/mbio.00784-22
Source DB: PubMed Journal: mBio Impact factor: 7.786
FIG 1Gain-of-signal system for SARS-CoV-2 Mpro inhibition in living cells. (a) Schematic of the Src-Mpro-Tat-eGFP wild-type (WT) reporter construct (see the text for details). Mpro-catalyzed self-cleavage is predicted to result in Tat-eGFP nuclear localization, whereas cleavage inhibition causes cytoplasmic localization. (b) Representative fluorescence microscopy images of 293T cells expressing the indicated WT or catalytic mutant constructs (green). Hoechst staining (blue) shows the location of the nuclear compartment. Scale bar, 10 μm. (c) Bar graph of the eGFP mean fluorescence intensity (MFI) of the indicated catalytic mutant constructs in 293T cells 48 h post-transfection (mean ± SD of n = 3 biologically independent experiments). (d) Anti-eGFP immunoblot of the indicated Mpro constructs following 48 h expression in 293T cells. A parallel anti-β-actin blot was done as a loading control. (e) Bar graph of the eGFP MFI of the indicated dimer interface mutant constructs in 293T cells 48h post-transfection (mean ± SD of n = 3 biologically independent experiments).
FIG 2Small-molecule inhibitors of Mpro restore reporter signal. (a) Histogram of the eGFP MFI of 293T cells expressing the WT reporter and incubated with 100 μM GC376, 100 μM boceprevir, or DMSO (mean ± SD of n = 3 biologically independent experiments; data normalized to DMSO control). (b) Representative images of 293T cells expressing the WT reporter and treated with 1 or 100 μM GC376 (scale bar, 10 μm). (c) Anti-eGFP immunoblot showing differential accumulation of Tat-eGFP and Src-Mpro-Tat-eGFP following incubation with the indicated amounts of GC376. A parallel anti-β-actin blot was done as a loading control. (d) Schematic of the Src-Mpro-Tat-Luc wild-type (WT) reporter construct (see the text for details). (e and f) Histograms comparing the dose responsiveness of WT eGFP- and Luc-based reporter constructs to GC376 and boceprevir, respectively (2-fold dilution series beginning at 100 μM; mean ± SD of n = 3 biologically independent experiments with data normalized to DMSO control set to 1).
FIG 3System modularity allows testing of Mpro enzymes from different coronaviruses. (a) Schematics of the indicated reporter constructs and phylogenetic relationships relative to SARS2 Mpro. (b and c) Histograms comparing the dose responsiveness of the indicated Luc-based reporters to GC376 and boceprevir, respectively (2-fold dilution series beginning at 100 μM; mean ± SD of n = 3 biologically independent experiments).
FIG 4Inhibitor efficacies altered by single amino acid changes in SARS2 Mpro. (a and b) Structures of SARS2 Mpro bound to GC376 and boceprevir, respectively, with mutable residues indicated (PDB ID 7TGR from this study and PDB ID 6WNP, respectively). (c and d) Histograms comparing the dose responsiveness of the indicated Luc-based reporters to GC376 and boceprevir, respectively (2-fold dilution series beginning at 25 μM; mean ± SD of n = 3 biologically independent experiments). (e) Representative images of 293T cells expressing the eGFP-based reporter with WT Mpro, P168G, or P168S (50 μM boceprevir; scale bar, 10 μm). The mutant constructs elicit elevated fluorescence, including cytoplasmic accumulation, consistent with heightened drug sensitivity. (f) Time course of peptide cleavage by WT, P168G, and P168S SARS2 Mpro enzymes (mean ± SD shown for n = 2 independent runs). (g and h) Dose responsiveness of WT, P168G, and P168S SARS2 Mpro enzymes to GC376 and boceprevir, respectively (mean ± SD shown for n = 3 independent runs for each condition).
FIG 5Comparative analyses of reported SARS2 Mpro inhibitors. (a) Dose responsiveness of the WT SARS2 Mpro construct expressed in 293T cells to the indicated compounds (2-fold dilution series beginning at 25 μM). All values normalized to the luminescence of the DMSO-treated condition (mean ± SD shown for n = 3 parallel reactions for each condition). Higher concentrations of CD1976 limit signal accumulation due to toxicity. (b) Representative images of 293T cells expressing the eGFP-based reporter treated with nirmatrelvir and GC376. Scale bar, 10 μm. (c) Dose responsiveness of the indicated Mpro enzymes to nirmatrelvir (2-fold dilution series beginning at 25 μM; mean ± SD of n = 3 biologically independent experiments). (d) Dose responsiveness of SARS2 P132 (WT) and H132 (Omicron) Mpro enzymes to nirmatrelvir (2-fold dilution series beginning at 400 nM; mean ± SD of n = 3 biologically independent experiments; P = 0.61 by unpaired Student's t test).