Author: Ahsan, Nagib; Rao, R. Shyama Prasad; Wilson, Rashaun S.; Punyamurtula, Ujwal; Salvato, Fernanda; Petersen, Max; Ahmed, Mohammad Kabir; Abid, M. Ruhul; Verburgt, Jacob C.; Kihara, Daisuke; Yang, Zhibo; Fornelli, Luca; Foster, Steven B.; Ramratnam, Bharat
Title: Mass spectrometryâ€based proteomic platforms for better understanding of SARSâ€CoVâ€2 induced pathogenesis and potential diagnostic approaches Cord-id: pw5xe2j5 Document date: 2021_5_5
ID: pw5xe2j5
Snippet: While protein–protein interaction is the first step of the SARSâ€CoVâ€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)â€based proteomic approaches applied to the functional characterization of proteins and path
Document: While protein–protein interaction is the first step of the SARSâ€CoVâ€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)â€based proteomic approaches applied to the functional characterization of proteins and pathways associated with SARSâ€CoVâ€2â€mediated infections in humans. Comparative analysis of cellâ€lines versus tissue samples indicates that our knowledge in proteome profile alternation in response to SARSâ€CoVâ€2 infection is still incomplete and the tissueâ€specific response to SARSâ€CoVâ€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 crossâ€comparison of the recently published proteome, phosphoproteome, and interactome datasets led to the identification of a common set of proteins and kinases associated with PI3Kâ€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 SARSâ€CoVâ€2 infection mechanisms and the development of new therapeutic strategies. We further discuss the potentials of future proteomics strategies for identifying prognostic SARSâ€CoVâ€2 responsive ageâ€, genderâ€dependent, tissueâ€specific protein targets.
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