Identification of SARS-CoV-2 Main Protease (Mpro) Cleavage Sites Using Two-Dimensional Electrophoresis and In Silico Cleavage Site Prediction.
Noémi MiltnerGergő KallóEva CsoszMárió MicziTibor NagyMohamed MahdiJános András MótyánJózsef TőzsérPublished in: International journal of molecular sciences (2023)
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.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- dna binding
- mass spectrometry
- immune response
- poor prognosis
- stem cells
- coronavirus disease
- liquid chromatography
- molecular docking
- mesenchymal stem cells
- cell death
- induced apoptosis
- dendritic cells
- risk assessment
- bioinformatics analysis
- signaling pathway
- amino acid
- single molecule