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10.3389/fcimb.2021.672562

http://scihub22266oqcxt.onion/10.3389/fcimb.2021.672562
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34123874!8195289!34123874
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suck abstract from ncbi


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pmid34123874      Front+Cell+Infect+Microbiol 2021 ; 11 (ä): 672562
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  • RT-qPCR Assays for Rapid Detection of the N501Y, 69-70del, K417N, and E484K SARS-CoV-2 Mutations: A Screening Strategy to Identify Variants With Clinical Impact #MMPMID34123874
  • Vega-Magana N; Sanchez-Sanchez R; Hernandez-Bello J; Venancio-Landeros AA; Pena-Rodriguez M; Vega-Zepeda RA; Galindo-Ornelas B; Diaz-Sanchez M; Garcia-Chagollan M; Macedo-Ojeda G; Garcia-Gonzalez OP; Munoz-Valle JF
  • Front Cell Infect Microbiol 2021[]; 11 (ä): 672562 PMID34123874show ga
  • BACKGROUND: Several variants of the SARS-CoV-2 have been documented globally during the current COVID-19 pandemic. The N501Y, 69-70del, K417N, and E484K SARS-CoV-2 mutations have been documented among the most relevant due to their potential pathogenic biological effects. This study aimed to design, validate, and propose a fast real-time RT-qPCR assay to detect SARS-CoV-2 mutations with possible clinical and epidemiological relevance in the Mexican population. METHODS: Targeting spike (S) gene mutations of SARS-CoV-2 (N501Y, 69-70del, K417N, and E484K), specific primers, and probes for three specific quantitative reverse transcription PCR (RT-qPCR) assays were designed, and validated using Sanger sequencing. These assays were applied in clinical samples of 1060 COVID-19 patients from Jalisco Mexico. RESULTS: In silico analyzes showed high specificity of the three assays. Amplicons of samples were confirmed through sequencing. The screening of samples of COVID-19 patients allowed the identification of the E484K mutation in nine individuals and the identification of P.2 Brazilian variant in Mexico. CONCLUSION: This work provides low-cost RT-qPCR assays for rapid screening and molecular surveillance of mutations with potential clinical impact. This strategy allowed the detection of E484K mutation and P.2 variant for the first time in samples from the Mexican population.
  • |*COVID-19[MESH]
  • |*SARS-CoV-2[MESH]
  • |Brazil[MESH]
  • |Humans[MESH]
  • |Mexico/epidemiology[MESH]
  • |Mutation[MESH]
  • |Pandemics[MESH]


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