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10.1016/j.crmeth.2021.100091 http://scihub22266oqcxt.onion/10.1016/j.crmeth.2021.100091 34790908!8594859!34790908     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 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 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cell+Rep+Methods 2021 ; 1 (6): ä Nephropedia Template TP {{tp|p=34790908|t=2021. Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples |pdf=|usr=}}{{34790908}} gab.com Text Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples JO: Cell Rep Methods http://www.kidney.de/pget.php?&tw=1&pmid=34790908 #FOAvip We developed a metatranscriptomics method that can simultaneously capture the respiratory virome, microbiome, and host response directly from low biomass samples. Using nasal swab samples, we capture RNA virome with sufficient sequencing depth required to assemble complete genomes. We find a surprisingly high frequency of respiratory syncytial virus (RSV) and coronavirus (CoV) in healthy children, and a high frequency of RSV-A and RSV-B co-detections in children with symptomatic RSV. In addition, we have identified commensal and pathogenic bacteria and fungi at the species level. Functional analysis revealed that H. influenzae was highly active in symptomatic RSV subjects. The host nasal transcriptome reveled upregulation of the innate immune system, anti-viral response and inflammasome pathway, and downregulation of fatty acid pathways in children with symptomatic RSV. Overall, we demonstrate that our method is broadly applicable to infer the transcriptome landscape of an infected system, surveil respiratory infections, and to sequence RNA viruses directly from clinical samples. Twit Text FOAVip Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples ????Cell Rep Methods http://www.kidney.de/pget.php?&tw=1&pmid=34790908 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34790908 #FOAvip English Wikipedia <ref>{{Cite pmid|34790908}}</ref> Metatranscriptomics to characterize respiratory virome, microbiome, and host response directly from clinical samples #MMPMID34790908 Rajagopala SV; Bakhoum NG; Pakala SB; Shilts MH; Rosas-Salazar C; Mai A; Boone HH; McHenry R; Yooseph S; Halasa N; Das SR Cell Rep Methods 2021[Oct]; 1 (6): ä PMID34790908show ga We developed a metatranscriptomics method that can simultaneously capture the respiratory virome, microbiome, and host response directly from low biomass samples. Using nasal swab samples, we capture RNA virome with sufficient sequencing depth required to assemble complete genomes. We find a surprisingly high frequency of respiratory syncytial virus (RSV) and coronavirus (CoV) in healthy children, and a high frequency of RSV-A and RSV-B co-detections in children with symptomatic RSV. In addition, we have identified commensal and pathogenic bacteria and fungi at the species level. Functional analysis revealed that H. influenzae was highly active in symptomatic RSV subjects. The host nasal transcriptome reveled upregulation of the innate immune system, anti-viral response and inflammasome pathway, and downregulation of fatty acid pathways in children with symptomatic RSV. Overall, we demonstrate that our method is broadly applicable to infer the transcriptome landscape of an infected system, surveil respiratory infections, and to sequence RNA viruses directly from clinical samples. |*Microbiota/genetics[MESH] |*Respiratory Syncytial Virus Infections/genetics[MESH] |*Respiratory Syncytial Virus, Human/genetics[MESH] |Child[MESH] |Humans[MESH] |Transcriptome/genetics[MESH]Metatranscriptomics to characterize respiratory virome, microbiome, an(epmc).pdf DeepDyve Pubget Overpricing