4.7 Article

Identification of SARS-CoV-2 Main Protease (Mpro) Cleavage Sites Using Two-Dimensional Electrophoresis and In Silico Cleavage Site Prediction

Journal

Publisher

MDPI
DOI: 10.3390/ijms24043236

Keywords

coronavirus; SARS-CoV-2; main protease; Mpro; NetCorona; cleavage site identification; cleavage site prediction; host protein cleavage; specificity; two-dimensional gel electrophoresis

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The main protease (Mpro) of SARS-CoV-2 is crucial for the virus's life cycle. Cleavage of viral polyproteins by Mpro is necessary for virus replication, and cleavage of host proteins may contribute to viral pathogenesis. Identification of host substrates and cleavage sites is important for understanding the enzyme's specificity and improving computational prediction methods.
The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays a crucial role in its life cycle. The Mpro-mediated limited proteolysis of the viral polyproteins is necessary for the replication of the virus, and cleavage of the host proteins of the infected cells may also contribute to viral pathogenesis, such as evading the immune responses or triggering cell toxicity. Therefore, the identification of host substrates of the viral protease is of special interest. To identify cleavage sites in cellular substrates of SARS-CoV-2 Mpro, we determined changes in the HEK293T cellular proteome upon expression of the Mpro using two-dimensional gel electrophoresis. The candidate cellular substrates of Mpro were identified by mass spectrometry, and then potential cleavage sites were predicted in silico using NetCorona 1.0 and 3CLP web servers. The existence of the predicted cleavage sites was investigated by in vitro cleavage reactions using recombinant protein substrates containing the candidate target sequences, followed by the determination of cleavage positions using mass spectrometry. Unknown and previously described SARS-CoV-2 Mpro cleavage sites and cellular substrates were also identified. Identification of target sequences is important to understand the specificity of the enzyme, as well as aiding the improvement and development of computational methods for cleavage site prediction.

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