Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/26091
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dc.contributor.authorAhsan, Nagib-
dc.contributor.authorRao, R. Shyama Prasad-
dc.contributor.authorWilson, Rashaun S.-
dc.contributor.authorPunyamurtula, Ujwal-
dc.contributor.authorSalvato, Fernanda-
dc.contributor.authorPetersen, Max-
dc.contributor.authorAhmed, Mohammad Kabir-
dc.contributor.authorAbid, M. Ruhul-
dc.contributor.authorVerburgt, Jacob C.-
dc.contributor.authorKihara, Daisuke-
dc.contributor.authorYang, Zhibo-
dc.contributor.authorFornelli, Luca-
dc.contributor.authorFoster, Steven B.-
dc.contributor.authorRamratnam, Bharat-
dc.contributor.author(UniKL RCMP)-
dc.date.accessioned2022-10-28T04:15:40Z-
dc.date.available2022-10-28T04:15:40Z-
dc.date.issued2021-05-
dc.identifier.citationAhsan, N., Rao, R. S. P., Wilson, R. S., Punyamurtula, U., Salvato, F., Petersen, M., Ahmed, M. K., Abid, M. R., Verburgt, J. C., Kihara, D., Yang, Z., Fornelli, L., Foster, S. B., & Ramratnam, B. (2021). Mass spectrometry‐based proteomic platforms for better understanding of SARS‐CoV‐2 induced pathogenesis and potential diagnostic approaches. Proteomics, 21(10), 2000279. https://doi.org/10.1002/pmic.202000279en_US
dc.identifier.issn16159853-
dc.identifier.urihttps://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/pmic.202000279-
dc.identifier.urihttp://hdl.handle.net/123456789/26091-
dc.description.abstractWhile 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 targetsen_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Incen_US
dc.subjectBiomarkersen_US
dc.subjectComparative proteomicsen_US
dc.subjectCOVID-19en_US
dc.subjectKinase-substrate signalingen_US
dc.subjectPost-translational modificationsen_US
dc.subjectTargeted proteomicen_US
dc.subjectStop-down proteomicsen_US
dc.titleMass spectrometry-based proteomic platforms for better understanding of SARS-CoV-2 induced pathogenesis and potential diagnostic approaches en_US
dc.typeArticleen_US
Appears in Collections:Journal Articles



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