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http://scihub22266oqcxt.onion/ 32685113!7340604!32685113     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Iran+J+Microbiol 2020 ; 12 (3): 185-193 Nephropedia Template TP {{tp|p=32685113|t=2020. Comparison five primer sets from different genome region of COVID-19 for detection of virus infection by conventional RT-PCR |pdf=|usr=}}{{32685113}} gab.com Text Comparison five primer sets from different genome region of COVID-19 for detection of virus infection by conventional RT-PCR JO: Iran J Microbiol http://www.kidney.de/pget.php?&tw=1&pmid=32685113 #FOAvip BACKGROUND AND OBJECTIVES: The new beta-coronavirus, which caused Severe Acute Respiratory Coronavirus-2 Syndrome (SARS-CoV-2), a major respiratory outbreak in Wuhan, China in December 2019, is now prevalent in many countries around the world. Identifying PCR-based viruses is a well-known and relatively stable protocol. Unfortunately, the high mutation rates may lead to widespread changes in viral nucleic acid sequences, and so using specific primers for PCR can be recommended. In this study, we evaluated the power of a conventional RT-PCR to detect SARS-CoV-2 RNA among the five set primer sets. MATERIALS AND METHODS: The five genomic regions of the Coronavirus SARS-2 virus including Nucleocapsids (N), Envelope (E), RNA depended RNA Polymerase (RdRp), ORF1ab and Spike (S) were selected for primer designing. A conventional RT-PCR was performed to compare sensitivity, specificity and other analytical characteristics of primers designed against two Real Time PCR commercial kits. RESULTS: The result of the comparative analysis showed that the ORF1ab, N and RdRp primers had a sensitivity, specificity and positive predictive value higher than other primers. A significant difference in the analytical sensitivity between the studied primer sets in RT-PCR kits was observed. CONCLUSION: In this study, the ORF1ab, Nucleocapsid and RdRp regions have the best primers for identifying the SARS-CoV-2 RNA between different genes that have been suggested. Twit Text FOAVip Comparison five primer sets from different genome region of COVID-19 for detection of virus infection by conventional RT-PCR ????Iran J Microbiol http://www.kidney.de/pget.php?&tw=1&pmid=32685113 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32685113 #FOAvip English Wikipedia <ref>{{Cite pmid|32685113}}</ref> Comparison five primer sets from different genome region of COVID-19 for detection of virus infection by conventional RT-PCR #MMPMID32685113 Mollaei HR; Afshar AA; Kalantar-Neyestanaki D; Fazlalipour M; Aflatoonian B Iran J Microbiol 2020[Jun]; 12 (3): 185-193 PMID32685113show ga BACKGROUND AND OBJECTIVES: The new beta-coronavirus, which caused Severe Acute Respiratory Coronavirus-2 Syndrome (SARS-CoV-2), a major respiratory outbreak in Wuhan, China in December 2019, is now prevalent in many countries around the world. Identifying PCR-based viruses is a well-known and relatively stable protocol. Unfortunately, the high mutation rates may lead to widespread changes in viral nucleic acid sequences, and so using specific primers for PCR can be recommended. In this study, we evaluated the power of a conventional RT-PCR to detect SARS-CoV-2 RNA among the five set primer sets. MATERIALS AND METHODS: The five genomic regions of the Coronavirus SARS-2 virus including Nucleocapsids (N), Envelope (E), RNA depended RNA Polymerase (RdRp), ORF1ab and Spike (S) were selected for primer designing. A conventional RT-PCR was performed to compare sensitivity, specificity and other analytical characteristics of primers designed against two Real Time PCR commercial kits. RESULTS: The result of the comparative analysis showed that the ORF1ab, N and RdRp primers had a sensitivity, specificity and positive predictive value higher than other primers. A significant difference in the analytical sensitivity between the studied primer sets in RT-PCR kits was observed. CONCLUSION: In this study, the ORF1ab, Nucleocapsid and RdRp regions have the best primers for identifying the SARS-CoV-2 RNA between different genes that have been suggested. äComparison five primer sets from different genome region of COVID-19 f(epmc).pdf DeepDyve Pubget Overpricing