Premium
Mass spectrometry‐based proteomic platforms for better understanding of SARS‐CoV‐2 induced pathogenesis and potential diagnostic approaches
Author(s) -
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
Publication year - 2021
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202000279
Subject(s) - proteome , proteomics , interactome , biology , computational biology , rap1 , quantitative proteomics , bioinformatics , signal transduction , microbiology and biotechnology , genetics , gene
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.