Mass spectrometry‐based proteomic platforms for better understanding of SARS‐CoV‐2 induced pathogenesis and potential diagnostic approaches
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 vira...
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Published in | PROTEOMICS Vol. 21; no. 10; pp. e2000279 - n/a |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article Web Resource |
Language | English |
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John Wiley & Sons, Inc
01.05.2021
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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. |
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AbstractList | While protein‐protein interaction is the first step of the SARS‐CoV‐2 infection, recent comparative proteomic profiling enabled the identification of over eleven thousand 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 vs 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 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. This article is protected by copyright. All rights reserved 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. 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. |
Author | Kihara, Daisuke Petersen, Max Abid, M. Ruhul Wilson, Rashaun S. Verburgt, Jacob C. Rao, R. Shyama Prasad Foster, Steven B. Ramratnam, Bharat Punyamurtula, Ujwal Fornelli, Luca Ahsan, Nagib Salvato, Fernanda Ahmed, Mohammad Kabir Yang, Zhibo |
AuthorAffiliation | 6 Signal Transduction Lab, Division of Hematology/Oncology Rhode Island Hospital, Warren Alpert Medical School, Brown University Providence Rhode Island USA 11 Department of Biology University of Oklahoma Norman Oklahoma USA 2 Biostatistics and Bioinformatics Division Yenepoya Research Center Yenepoya University Mangaluru India 7 Department of Biochemistry Faculty of Medicine Universiti Kuala Lumpur Royal College of Medicine Perak Ipoh Perak Malaysia 10 Department of Computer Science Purdue University West Lafayette Indiana USA 12 Division of Infectious Diseases Department of Medicine Warren Alpert Medical School Brown University Providence Rhode Island USA 1 Department of Chemistry and Biochemistry University of Oklahoma Norman Oklahoma USA 9 Department of Biological Sciences Purdue University West Lafayette Indiana USA 4 COBRE Center for Cancer Research Development Proteomics Core Facility Rhode Island Hospital Providence Rhode Island USA 8 Department of Surgery Cardiovascular Research Center |
AuthorAffiliation_xml | – name: 11 Department of Biology University of Oklahoma Norman Oklahoma USA – name: 3 Keck Mass Spectrometry and Proteomics Resource Yale University New Haven Connecticut USA – name: 4 COBRE Center for Cancer Research Development Proteomics Core Facility Rhode Island Hospital Providence Rhode Island USA – name: 12 Division of Infectious Diseases Department of Medicine Warren Alpert Medical School Brown University Providence Rhode Island USA – name: 6 Signal Transduction Lab, Division of Hematology/Oncology Rhode Island Hospital, Warren Alpert Medical School, Brown University Providence Rhode Island USA – name: 2 Biostatistics and Bioinformatics Division Yenepoya Research Center Yenepoya University Mangaluru India – name: 8 Department of Surgery Cardiovascular Research Center Rhode Island Hospital Warren Alpert Medical School Brown University Providence Rhode Island USA – name: 10 Department of Computer Science Purdue University West Lafayette Indiana USA – name: 9 Department of Biological Sciences Purdue University West Lafayette Indiana USA – name: 1 Department of Chemistry and Biochemistry University of Oklahoma Norman Oklahoma USA – name: 5 Department of Plant and Microbial Biology College of Agriculture and Life Sciences North Carolina State University Raleigh North Carolina USA – name: 7 Department of Biochemistry Faculty of Medicine Universiti Kuala Lumpur Royal College of Medicine Perak Ipoh Perak Malaysia |
Author_xml | – sequence: 1 givenname: Nagib surname: Ahsan fullname: Ahsan, Nagib email: nahsan@ou.edu organization: University of Oklahoma – sequence: 2 givenname: R. Shyama Prasad surname: Rao fullname: Rao, R. Shyama Prasad organization: Yenepoya University – sequence: 3 givenname: Rashaun S. surname: Wilson fullname: Wilson, Rashaun S. organization: Yale University – sequence: 4 givenname: Ujwal surname: Punyamurtula fullname: Punyamurtula, Ujwal organization: Rhode Island Hospital – sequence: 5 givenname: Fernanda surname: Salvato fullname: Salvato, Fernanda organization: North Carolina State University – sequence: 6 givenname: Max surname: Petersen fullname: Petersen, Max organization: Rhode Island Hospital, Warren Alpert Medical School, Brown University – sequence: 7 givenname: Mohammad Kabir surname: Ahmed fullname: Ahmed, Mohammad Kabir organization: Universiti Kuala Lumpur Royal College of Medicine Perak – sequence: 8 givenname: M. Ruhul surname: Abid fullname: Abid, M. Ruhul organization: Brown University – sequence: 9 givenname: Jacob C. surname: Verburgt fullname: Verburgt, Jacob C. organization: Purdue University – sequence: 10 givenname: Daisuke surname: Kihara fullname: Kihara, Daisuke organization: Purdue University – sequence: 11 givenname: Zhibo surname: Yang fullname: Yang, Zhibo organization: University of Oklahoma – sequence: 12 givenname: Luca surname: Fornelli fullname: Fornelli, Luca organization: University of Oklahoma – sequence: 13 givenname: Steven B. surname: Foster fullname: Foster, Steven B. organization: University of Oklahoma – sequence: 14 givenname: Bharat surname: Ramratnam fullname: Ramratnam, Bharat organization: Brown University |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33860983$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_csbj_2023_03_040 crossref_primary_10_1186_s12014_024_09481_w crossref_primary_10_1007_s00216_021_03831_5 crossref_primary_10_1038_s41419_022_05250_5 crossref_primary_10_1186_s12967_024_05342_0 crossref_primary_10_1016_j_neuroscience_2022_11_030 crossref_primary_10_1039_D2AN00431C crossref_primary_10_3389_fpubh_2022_948520 crossref_primary_10_3390_biology12091196 crossref_primary_10_3390_biochem1030018 crossref_primary_10_1128_jvi_01194_23 crossref_primary_10_1186_s11658_022_00311_1 crossref_primary_10_1186_s12964_023_01306_x crossref_primary_10_2217_imt_2021_0269 crossref_primary_10_3389_fimmu_2022_1032331 |
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Snippet | While protein–protein interaction is the first step of the SARS‐CoV‐2 infection, recent comparative proteomic profiling enabled the identification of over... While protein-protein interaction is the first step of the SARS-CoV-2 infection, recent comparative proteomic profiling enabled the identification of over... Abstract While protein–protein interaction is the first step of the SARS‐CoV‐2 infection, recent comparative proteomic profiling enabled the identification of... While protein‐protein interaction is the first step of the SARS‐CoV‐2 infection, recent comparative proteomic profiling enabled the identification of over... |
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Title | Mass spectrometry‐based proteomic platforms for better understanding of SARS‐CoV‐2 induced pathogenesis and potential diagnostic approaches |
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