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10.1016/j.xpro.2020.100233 http://scihub22266oqcxt.onion/10.1016/j.xpro.2020.100233 33377120!7757730!33377120     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33377120&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       STAR+Protoc 2020 ; 1 (3): 100233 Nephropedia Template TP {{tp|p=33377120|t=2020. Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19 |pdf=|usr=}}{{33377120}} gab.com Text Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19 JO: STAR Protoc http://www.kidney.de/pget.php?&tw=1&pmid=33377120 #FOAvip In December 2019, a new coronavirus, SARS-CoV-2, which causes the respiratory illness that led to the COVID-19 pandemic, was reported. In the face of such a new pathogen, special precautions must be taken to examine potentially infectious materials due to the lack of knowledge on disease transmissibility, infectivity, and molecular pathogenicity. Here, we present a complete and safe workflow for performing scRNA-seq experiments on blood samples of infected patients from cell isolation to data analysis using the micro-well based BD Rhapsody platform. For complete information on the use and execution of this protocol, please refer to Schulte-Schrepping et al. (2020). Twit Text FOAVip Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19 ????STAR Protoc http://www.kidney.de/pget.php?&tw=1&pmid=33377120 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33377120 #FOAvip English Wikipedia <ref>{{Cite pmid|33377120}}</ref> Optimized workflow for single-cell transcriptomics on infectious diseases including COVID-19 #MMPMID33377120 De Domenico E; Bonaguro L; Schulte-Schrepping J; Becker M; Handler K; Schultze JL STAR Protoc 2020[Dec]; 1 (3): 100233 PMID33377120show ga In December 2019, a new coronavirus, SARS-CoV-2, which causes the respiratory illness that led to the COVID-19 pandemic, was reported. In the face of such a new pathogen, special precautions must be taken to examine potentially infectious materials due to the lack of knowledge on disease transmissibility, infectivity, and molecular pathogenicity. Here, we present a complete and safe workflow for performing scRNA-seq experiments on blood samples of infected patients from cell isolation to data analysis using the micro-well based BD Rhapsody platform. For complete information on the use and execution of this protocol, please refer to Schulte-Schrepping et al. (2020). |*COVID-19/genetics/metabolism[MESH] |*Communicable Diseases/genetics/metabolism[MESH] |Biomarkers/blood[MESH] |Humans[MESH] |RNA-Seq/*methods[MESH] |SARS-CoV-2[MESH] |Single-Cell Analysis/*methods[MESH] |Transcriptome/*genetics[MESH]Optimized workflow for single-cell transcriptomics on infectious disea(epmc).pdf DeepDyve Pubget Overpricing