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10.1101/2021.09.17.460814 http://scihub22266oqcxt.onion/10.1101/2021.09.17.460814 34580671!8475972!34580671     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       bioRxiv 2021 ; ä (ä): ä Nephropedia Template TP {{tp|p=34580671|t=2021. A BioID-derived proximity interactome for SARS-CoV-2 proteins |pdf=|usr=}}{{34580671}} gab.com Text A BioID-derived proximity interactome for SARS-CoV-2 proteins JO: bioRxiv http://www.kidney.de/pget.php?&tw=1&pmid=34580671 #FOAvip The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here we use BioID to map the SARS-CoV-2 virus-host interactome using human lung cancer derived A549 cells expressing individual SARS-CoV-2 viral proteins. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are in association with SARS-CoV-2 proteins. We have also established a website to host the proteomic data to allow for public access and continued analysis of host-viral protein associations and whole-cell proteomes of cells expressing the viral-BioID fusion proteins. Collectively, these studies provide a valuable resource to potentially uncover novel SARS-CoV-2 biology and inform development of antivirals. Twit Text FOAVip A BioID-derived proximity interactome for SARS-CoV-2 proteins ????bioRxiv http://www.kidney.de/pget.php?&tw=1&pmid=34580671 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34580671 #FOAvip English Wikipedia <ref>{{Cite pmid|34580671}}</ref> A BioID-derived proximity interactome for SARS-CoV-2 proteins #MMPMID34580671 May DG; Martin-Sancho L; Anschau V; Liu S; Chrisopulos RJ; Scott KL; Halfmann CT; Pena RD; Pratt D; Campos AR; Roux KJ bioRxiv 2021[Sep]; ä (ä): ä PMID34580671show ga The novel coronavirus SARS-CoV-2 is responsible for the ongoing COVID-19 pandemic and has caused a major health and economic burden worldwide. Understanding how SARS-CoV-2 viral proteins behave in host cells can reveal underlying mechanisms of pathogenesis and assist in development of antiviral therapies. Here we use BioID to map the SARS-CoV-2 virus-host interactome using human lung cancer derived A549 cells expressing individual SARS-CoV-2 viral proteins. Functional enrichment analyses revealed previously reported and unreported cellular pathways that are in association with SARS-CoV-2 proteins. We have also established a website to host the proteomic data to allow for public access and continued analysis of host-viral protein associations and whole-cell proteomes of cells expressing the viral-BioID fusion proteins. Collectively, these studies provide a valuable resource to potentially uncover novel SARS-CoV-2 biology and inform development of antivirals. äA BioID-derived proximity interactome for SARS-CoV-2 proteins (epmc).pdf DeepDyve Pubget Overpricing