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10.1016/j.isci.2021.103115 http://scihub22266oqcxt.onion/10.1016/j.isci.2021.103115 34522848!8428985!34522848     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 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       iScience 2021 ; 24 (10): 103115 Nephropedia Template TP {{tp|p=34522848|t=2021. An interactive single cell web portal identifies gene and cell networks in COVID-19 host responses |pdf=|usr=}}{{34522848}} gab.com Text An interactive single cell web portal identifies gene and cell networks in COVID-19 host responses JO: iScience http://www.kidney.de/pget.php?&tw=1&pmid=34522848 #FOAvip Numerous studies have provided single-cell transcriptome profiles of host responses to SARS-CoV-2 infection. Critically lacking however is a data mine that allows users to compare and explore cell profiles to gain insights and develop new hypotheses. To accomplish this, we harmonized datasets from COVID-19 and other control condition blood, bronchoalveolar lavage, and tissue samples, and derived a compendium of gene signature modules per cell type, subtype, clinical condition, and compartment. We demonstrate approaches to interacting with, exploring, and functional evaluating these modules via a new interactive web portal ToppCell (http://toppcell.cchmc.org/). As examples, we develop three hypotheses: (1) alternatively-differentiated monocyte-derived macrophages form a multicelllar signaling cascade that drives T cell recruitment and activation; (2) COVID-19-generated platelet subtypes exhibit dramatically altered potential to adhere, coagulate, and thrombose; and (3) extrafollicular B maturation is driven by a multilineage cell activation network that expresses an ensemble of genes strongly associated with risk for developing post-viral autoimmunity. Twit Text FOAVip An interactive single cell web portal identifies gene and cell networks in COVID-19 host responses ????iScience http://www.kidney.de/pget.php?&tw=1&pmid=34522848 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34522848 #FOAvip English Wikipedia <ref>{{Cite pmid|34522848}}</ref> An interactive single cell web portal identifies gene and cell networks in COVID-19 host responses #MMPMID34522848 Jin K; Bardes EE; Mitelpunkt A; Wang JY; Bhatnagar S; Sengupta S; Krummel DP; Rothenberg ME; Aronow BJ iScience 2021[Oct]; 24 (10): 103115 PMID34522848show ga Numerous studies have provided single-cell transcriptome profiles of host responses to SARS-CoV-2 infection. Critically lacking however is a data mine that allows users to compare and explore cell profiles to gain insights and develop new hypotheses. To accomplish this, we harmonized datasets from COVID-19 and other control condition blood, bronchoalveolar lavage, and tissue samples, and derived a compendium of gene signature modules per cell type, subtype, clinical condition, and compartment. We demonstrate approaches to interacting with, exploring, and functional evaluating these modules via a new interactive web portal ToppCell (http://toppcell.cchmc.org/). As examples, we develop three hypotheses: (1) alternatively-differentiated monocyte-derived macrophages form a multicelllar signaling cascade that drives T cell recruitment and activation; (2) COVID-19-generated platelet subtypes exhibit dramatically altered potential to adhere, coagulate, and thrombose; and (3) extrafollicular B maturation is driven by a multilineage cell activation network that expresses an ensemble of genes strongly associated with risk for developing post-viral autoimmunity. äAn interactive single cell web portal identifies gene and cell network(epmc).pdf DeepDyve Pubget Overpricing