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10.1016/j.celrep.2021.109482 http://scihub22266oqcxt.onion/10.1016/j.celrep.2021.109482 34297909!8285250!34297909     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34297909&cmd=llinks): Failed to open stream: HTTP request failed! 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Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome |pdf=|usr=}}{{34297909}} gab.com Text Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome JO: Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=34297909 #FOAvip Bearing a relatively large single-stranded RNA genome in nature, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes sophisticated replication/transcription complexes (RTCs), mainly composed of a network of nonstructural proteins and nucleocapsid protein, to establish efficient infection. In this study, we develop an innovative interaction screening strategy based on phase separation in cellulo, namely compartmentalization of protein-protein interactions in cells (CoPIC). Utilizing CoPIC screening, we map the interaction network among RTC-related viral proteins. We identify a total of 47 binary interactions among 14 proteins governing replication, discontinuous transcription, and translation of coronaviruses. Further exploration via CoPIC leads to the discovery of extensive ternary complexes composed of these components, which infer potential higher-order complexes. Taken together, our results present an efficient and robust interaction screening strategy, and they indicate the existence of a complex interaction network among RTC-related factors, thus opening up opportunities to understand SARS-CoV-2 biology and develop therapeutic interventions for COVID-19. Twit Text FOAVip Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome ????Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=34297909 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34297909 #FOAvip English Wikipedia <ref>{{Cite pmid|34297909}}</ref> Compartmentalization-aided interaction screening reveals extensive high-order complexes within the SARS-CoV-2 proteome #MMPMID34297909 Xu W; Pei G; Liu H; Ju X; Wang J; Ding Q; Li P Cell Rep 2021[Aug]; 36 (5): 109482 PMID34297909show ga Bearing a relatively large single-stranded RNA genome in nature, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes sophisticated replication/transcription complexes (RTCs), mainly composed of a network of nonstructural proteins and nucleocapsid protein, to establish efficient infection. In this study, we develop an innovative interaction screening strategy based on phase separation in cellulo, namely compartmentalization of protein-protein interactions in cells (CoPIC). Utilizing CoPIC screening, we map the interaction network among RTC-related viral proteins. We identify a total of 47 binary interactions among 14 proteins governing replication, discontinuous transcription, and translation of coronaviruses. Further exploration via CoPIC leads to the discovery of extensive ternary complexes composed of these components, which infer potential higher-order complexes. Taken together, our results present an efficient and robust interaction screening strategy, and they indicate the existence of a complex interaction network among RTC-related factors, thus opening up opportunities to understand SARS-CoV-2 biology and develop therapeutic interventions for COVID-19. |*Proteome[MESH] |Animals[MESH] |COVID-19/*virology[MESH] |Caco-2 Cells[MESH] |Cell Compartmentation[MESH] |Cell Line[MESH] |Chlorocebus aethiops[MESH] |HEK293 Cells[MESH] |Humans[MESH] |Protein Interaction Mapping/*methods[MESH] |Protein Interaction Maps[MESH] |SARS-CoV-2/*pathogenicity[MESH] |Vero Cells[MESH] |Viral Nonstructural Proteins/*physiology[MESH]Compartmentalization-aided interaction screening reveals extensive hig(epmc).pdf DeepDyve Pubget Overpricing