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10.1016/j.jmoldx.2021.04.014 http://scihub22266oqcxt.onion/10.1016/j.jmoldx.2021.04.014 34062285!8164350!34062285     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Mol+Diagn 2021 ; 23 (8): 907-919 Nephropedia Template TP {{tp|p=34062285|t=2021. SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR |pdf=|usr=}}{{34062285}} gab.com Text SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR JO: J Mol Diagn http://www.kidney.de/pget.php?&tw=1&pmid=34062285 #FOAvip Quantitative viral load assays have transformed our understanding of viral diseases. They hold similar potential to advance COVID-19 control and prevention, but SARS-CoV-2 viral load tests are not yet widely available. SARS-CoV-2 molecular diagnostic tests, which typically employ real-time RT-PCR, yield semiquantitative results only. Droplet digital RT-PCR (RT-ddPCR) offers an attractive platform for SARS-CoV-2 RNA quantification. Eight primer/probe sets originally developed for real-time RT-PCR-based SARS-CoV-2 diagnostic tests were evaluated for use in RT-ddPCR; three were identified as the most efficient, precise, and sensitive for RT-ddPCR-based SARS-CoV-2 RNA quantification. For example, the analytical efficiency for the E-Sarbeco primer/probe set was approximately 83%, whereas assay precision, measured as the coefficient of variation, was approximately 2% at 1000 input copies/reaction. Lower limits of quantification and detection for this primer/probe set were 18.6 and 4.4 input SARS-CoV-2 RNA copies/reaction, respectively. SARS-CoV-2 RNA viral loads in a convenience panel of 48 COVID-19-positive diagnostic specimens spanned a 6.2log(10) range, confirming substantial viral load variation in vivo. RT-ddPCR-derived SARS-CoV-2 E gene copy numbers were further calibrated against cycle threshold values from a commercial real-time RT-PCR diagnostic platform. This log-linear relationship can be used to mathematically derive SARS-CoV-2 RNA copy numbers from cycle threshold values, allowing the wealth of available diagnostic test data to be harnessed to address foundational questions in SARS-CoV-2 biology. Twit Text FOAVip SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR ????J Mol Diagn http://www.kidney.de/pget.php?&tw=1&pmid=34062285 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34062285 #FOAvip English Wikipedia <ref>{{Cite pmid|34062285}}</ref> SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR #MMPMID34062285 Kinloch NN; Ritchie G; Dong W; Cobarrubias KD; Sudderuddin H; Lawson T; Matic N; Montaner JSG; Leung V; Romney MG; Lowe CF; Brumme CJ; Brumme ZL J Mol Diagn 2021[Aug]; 23 (8): 907-919 PMID34062285show ga Quantitative viral load assays have transformed our understanding of viral diseases. They hold similar potential to advance COVID-19 control and prevention, but SARS-CoV-2 viral load tests are not yet widely available. SARS-CoV-2 molecular diagnostic tests, which typically employ real-time RT-PCR, yield semiquantitative results only. Droplet digital RT-PCR (RT-ddPCR) offers an attractive platform for SARS-CoV-2 RNA quantification. Eight primer/probe sets originally developed for real-time RT-PCR-based SARS-CoV-2 diagnostic tests were evaluated for use in RT-ddPCR; three were identified as the most efficient, precise, and sensitive for RT-ddPCR-based SARS-CoV-2 RNA quantification. For example, the analytical efficiency for the E-Sarbeco primer/probe set was approximately 83%, whereas assay precision, measured as the coefficient of variation, was approximately 2% at 1000 input copies/reaction. Lower limits of quantification and detection for this primer/probe set were 18.6 and 4.4 input SARS-CoV-2 RNA copies/reaction, respectively. SARS-CoV-2 RNA viral loads in a convenience panel of 48 COVID-19-positive diagnostic specimens spanned a 6.2log(10) range, confirming substantial viral load variation in vivo. RT-ddPCR-derived SARS-CoV-2 E gene copy numbers were further calibrated against cycle threshold values from a commercial real-time RT-PCR diagnostic platform. This log-linear relationship can be used to mathematically derive SARS-CoV-2 RNA copy numbers from cycle threshold values, allowing the wealth of available diagnostic test data to be harnessed to address foundational questions in SARS-CoV-2 biology. |COVID-19 Nucleic Acid Testing/*methods[MESH] |COVID-19/*diagnosis/virology[MESH] |Humans[MESH] |Limit of Detection[MESH] |RNA, Viral/analysis/*genetics[MESH] |SARS-CoV-2/*genetics/isolation & purification[MESH]SARS-CoV-2 RNA Quantification Using Droplet Digital RT-PCR (epmc).pdf DeepDyve Pubget Overpricing