Affiliations 

  • 1 Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma, USA
  • 2 Biostatistics and Bioinformatics Division, Yenepoya Research Center, Yenepoya University, Mangaluru, India
  • 3 Keck Mass Spectrometry and Proteomics Resource, Yale University, New Haven, Connecticut, USA
  • 4 COBRE Center for Cancer Research Development, Proteomics Core Facility, Rhode Island Hospital, Providence, Rhode Island, USA
  • 5 Department of Plant and Microbial Biology, College of Agriculture and Life Sciences, North Carolina State University, Raleigh, North Carolina, USA
  • 6 Signal Transduction Lab, Division of Hematology/Oncology, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
  • 7 Department of Biochemistry, Faculty of Medicine, Universiti Kuala Lumpur Royal College of Medicine Perak, Ipoh, Perak, Malaysia
  • 8 Department of Surgery, Cardiovascular Research Center, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
  • 9 Department of Biological Sciences, Purdue University, West Lafayette, Indiana, USA
Proteomics, 2021 05;21(10):e2000279.
PMID: 33860983 DOI: 10.1002/pmic.202000279

Abstract

While protein-protein interaction is the first step of the SARS-CoV-2 infection, recent comparative proteomic profiling enabled the identification of over 11,000 protein dynamics, thus providing a comprehensive reflection of the molecular mechanisms underlying the cellular system in response to viral infection. Here we summarize and rationalize the results obtained by various mass spectrometry (MS)-based proteomic approaches applied to the functional characterization of proteins and pathways associated with SARS-CoV-2-mediated infections in humans. Comparative analysis of cell-lines versus tissue samples indicates that our knowledge in proteome profile alternation in response to SARS-CoV-2 infection is still incomplete and the tissue-specific response to SARS-CoV-2 infection can probably not be recapitulated efficiently by in vitro experiments. However, regardless of the viral infection period, sample types, and experimental strategies, a thorough cross-comparison of the recently published proteome, phosphoproteome, and interactome datasets led to the identification of a common set of proteins and kinases associated with PI3K-Akt, EGFR, MAPK, Rap1, and AMPK signaling pathways. Ephrin receptor A2 (EPHA2) was identified by 11 studies including all proteomic platforms, suggesting it as a potential future target for SARS-CoV-2 infection mechanisms and the development of new therapeutic strategies. We further discuss the potentials of future proteomics strategies for identifying prognostic SARS-CoV-2 responsive age-, gender-dependent, tissue-specific protein targets.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.