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10.15252/embj.2021107776 http://scihub22266oqcxt.onion/10.15252/embj.2021107776 34232536!8447597!34232536     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34232536&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       EMBO+J 2021 ; 40 (17): e107776 Nephropedia Template TP {{tp|p=34232536|t=2021. Interactomes of SARS-CoV-2 and human coronaviruses reveal host factors potentially affecting pathogenesis |pdf=|usr=}}{{34232536}} gab.com Text Interactomes of SARS-CoV-2 and human coronaviruses reveal host factors potentially affecting pathogenesis JO: EMBO J http://www.kidney.de/pget.php?&tw=1&pmid=34232536 #FOAvip Host-virus protein-protein interactions play key roles in the life cycle of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We conducted a comprehensive interactome study between the virus and host cells using tandem affinity purification and proximity-labeling strategies and identified 437 human proteins as the high-confidence interacting proteins. Further characterization of these interactions and comparison to other large-scale study of cellular responses to SARS-CoV-2 infection elucidated how distinct SARS-CoV-2 viral proteins participate in its life cycle. With these data mining, we discovered potential drug targets for the treatment of COVID-19. The interactomes of two key SARS-CoV-2-encoded viral proteins, NSP1 and N, were compared with the interactomes of their counterparts in other human coronaviruses. These comparisons not only revealed common host pathways these viruses manipulate for their survival, but also showed divergent protein-protein interactions that may explain differences in disease pathology. This comprehensive interactome of SARS-CoV-2 provides valuable resources for the understanding and treating of this disease. Twit Text FOAVip Interactomes of SARS-CoV-2 and human coronaviruses reveal host factors potentially affecting pathogenesis ????EMBO J http://www.kidney.de/pget.php?&tw=1&pmid=34232536 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34232536 #FOAvip English Wikipedia <ref>{{Cite pmid|34232536}}</ref> Interactomes of SARS-CoV-2 and human coronaviruses reveal host factors potentially affecting pathogenesis #MMPMID34232536 Chen Z; Wang C; Feng X; Nie L; Tang M; Zhang H; Xiong Y; Swisher SK; Srivastava M; Chen J EMBO J 2021[Sep]; 40 (17): e107776 PMID34232536show ga Host-virus protein-protein interactions play key roles in the life cycle of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We conducted a comprehensive interactome study between the virus and host cells using tandem affinity purification and proximity-labeling strategies and identified 437 human proteins as the high-confidence interacting proteins. Further characterization of these interactions and comparison to other large-scale study of cellular responses to SARS-CoV-2 infection elucidated how distinct SARS-CoV-2 viral proteins participate in its life cycle. With these data mining, we discovered potential drug targets for the treatment of COVID-19. The interactomes of two key SARS-CoV-2-encoded viral proteins, NSP1 and N, were compared with the interactomes of their counterparts in other human coronaviruses. These comparisons not only revealed common host pathways these viruses manipulate for their survival, but also showed divergent protein-protein interactions that may explain differences in disease pathology. This comprehensive interactome of SARS-CoV-2 provides valuable resources for the understanding and treating of this disease. |COVID-19/*genetics/pathology/virology[MESH] |Coronavirus Nucleocapsid Proteins/*genetics[MESH] |Host-Pathogen Interactions/genetics[MESH] |Humans[MESH] |Protein Interaction Maps/genetics[MESH] |SARS-CoV-2/*genetics/pathogenicity[MESH] |Viral Nonstructural Proteins/*genetics[MESH]Interactomes of SARS-CoV-2 and human coronaviruses reveal host factors(epmc).pdf DeepDyve Pubget Overpricing