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10.1038/s41598-021-86002-x http://scihub22266oqcxt.onion/10.1038/s41598-021-86002-x 33782412!8007747!33782412     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 7052 Nephropedia Template TP {{tp|p=33782412|t=2021. Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway |pdf=|usr=}}{{33782412}} gab.com Text Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33782412 #FOAvip SARS-CoV2 is a previously uncharacterized coronavirus and causative agent of the COVID-19 pandemic. The host response to SARS-CoV2 has not yet been fully delineated, hampering a precise approach to therapy. To address this, we carried out a comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients. Our results indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures in each compartment. The relative absence of cytotoxic cells in the lung suggests a model in which delayed clearance of the virus may permit exaggerated myeloid cell activation that contributes to disease pathogenesis by the production of inflammatory mediators. The gene expression profiles also identify potential therapeutic targets that could be modified with available drugs. The data suggest that transcriptomic profiling can provide an understanding of the pathogenesis of COVID-19 in individual patients. Twit Text FOAVip Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33782412 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33782412 #FOAvip English Wikipedia <ref>{{Cite pmid|33782412}}</ref> Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway #MMPMID33782412 Daamen AR; Bachali P; Owen KA; Kingsmore KM; Hubbard EL; Labonte AC; Robl R; Shrotri S; Grammer AC; Lipsky PE Sci Rep 2021[Mar]; 11 (1): 7052 PMID33782412show ga SARS-CoV2 is a previously uncharacterized coronavirus and causative agent of the COVID-19 pandemic. The host response to SARS-CoV2 has not yet been fully delineated, hampering a precise approach to therapy. To address this, we carried out a comprehensive analysis of gene expression data from the blood, lung, and airway of COVID-19 patients. Our results indicate that COVID-19 pathogenesis is driven by populations of myeloid-lineage cells with highly inflammatory but distinct transcriptional signatures in each compartment. The relative absence of cytotoxic cells in the lung suggests a model in which delayed clearance of the virus may permit exaggerated myeloid cell activation that contributes to disease pathogenesis by the production of inflammatory mediators. The gene expression profiles also identify potential therapeutic targets that could be modified with available drugs. The data suggest that transcriptomic profiling can provide an understanding of the pathogenesis of COVID-19 in individual patients. |*Gene Expression Profiling[MESH] |Bronchi/*metabolism[MESH] |Bronchoalveolar Lavage Fluid[MESH] |COVID-19/blood/*metabolism/virology[MESH] |Humans[MESH] |Inflammation Mediators/metabolism[MESH] |Lung/*metabolism[MESH] |Myeloid Cells/metabolism[MESH] |Protein Binding[MESH]Comprehensive transcriptomic analysis of COVID-19 blood, lung, and air(epmc).pdf DeepDyve Pubget Overpricing