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10.1016/j.isci.2020.101947 http://scihub22266oqcxt.onion/10.1016/j.isci.2020.101947 33437935!7786129!33437935     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33437935&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       iScience 2021 ; 24 (1): 101947 Nephropedia Template TP {{tp|p=33437935|t=2021. Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections |pdf=|usr=}}{{33437935}} gab.com Text Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections JO: iScience http://www.kidney.de/pget.php?&tw=1&pmid=33437935 #FOAvip The pandemic 2019 novel coronavirus disease (COVID-19) shares certain clinical characteristics with other acute viral infections. We studied the whole-blood transcriptomic host response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using RNAseq from 24 healthy controls and 62 prospectively enrolled patients with COVID-19. We then compared these data to non-COVID-19 viral infections, curated from 23 independent studies profiling 1,855 blood samples covering six viruses (influenza, respiratory syncytial virus (RSV), human rhinovirus (HRV), severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1), Ebola, dengue). We show gene expression changes in COVID-19 versus non-COVID-19 viral infections are highly correlated (r = 0.74, p < 0.001). However, we also found 416 genes specific to COVID-19. Inspection of top genes revealed dynamic immune evasion and counter host responses specific to COVID-19. Statistical deconvolution of cell proportions maps many cell type proportions concordantly shifting. Discordantly increased in COVID-19 were CD56(bright) natural killer cells and M2 macrophages. The concordant and discordant responses mapped out here provide a window to explore the pathophysiology of the host response to SARS-CoV-2. Twit Text FOAVip Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections ????iScience http://www.kidney.de/pget.php?&tw=1&pmid=33437935 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33437935 #FOAvip English Wikipedia <ref>{{Cite pmid|33437935}}</ref> Transcriptomic similarities and differences in host response between SARS-CoV-2 and other viral infections #MMPMID33437935 Thair SA; He YD; Hasin-Brumshtein Y; Sakaram S; Pandya R; Toh J; Rawling D; Remmel M; Coyle S; Dalekos GN; Koutsodimitropoulos I; Vlachogianni G; Gkeka E; Karakike E; Damoraki G; Antonakos N; Khatri P; Giamarellos-Bourboulis EJ; Sweeney TE iScience 2021[Jan]; 24 (1): 101947 PMID33437935show ga The pandemic 2019 novel coronavirus disease (COVID-19) shares certain clinical characteristics with other acute viral infections. We studied the whole-blood transcriptomic host response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using RNAseq from 24 healthy controls and 62 prospectively enrolled patients with COVID-19. We then compared these data to non-COVID-19 viral infections, curated from 23 independent studies profiling 1,855 blood samples covering six viruses (influenza, respiratory syncytial virus (RSV), human rhinovirus (HRV), severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1), Ebola, dengue). We show gene expression changes in COVID-19 versus non-COVID-19 viral infections are highly correlated (r = 0.74, p < 0.001). However, we also found 416 genes specific to COVID-19. Inspection of top genes revealed dynamic immune evasion and counter host responses specific to COVID-19. Statistical deconvolution of cell proportions maps many cell type proportions concordantly shifting. Discordantly increased in COVID-19 were CD56(bright) natural killer cells and M2 macrophages. The concordant and discordant responses mapped out here provide a window to explore the pathophysiology of the host response to SARS-CoV-2. ?Transcriptomic similarities and differences in host response between S(epmc).pdf DeepDyve Pubget Overpricing