Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/42499
metadata.artigo.dc.title: Highly sensitive detection of SARS-CoV-2 RNA by multiplex rRT-PCR for molecular diagnosis of COVID-19 by clinical laboratories
metadata.artigo.dc.creator: Ishige, Takayuki
Murata, Shota
Taniguchi, Toshibumi
Miyabe, Akiko
Kitamura, Kouichi
Kawasaki, Kenji
Nishimura, Motoi
Igari, Hidetoshi
Matsushita, Kazuyuki
metadata.artigo.dc.subject: COVID-19
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
Molecular diagnosis
Multiplex
Real-time reverse transcription-polymerase chain reaction (rRT-PCR)
High-sensitive
metadata.artigo.dc.publisher: Elsevier
metadata.artigo.dc.date.issued: Aug-2020
metadata.artigo.dc.identifier.citation: ISHIGE, T. et al. Highly sensitive detection of SARS-CoV-2 RNA by multiplex rRT-PCR for molecular diagnosis of COVID-19 by clinical laboratories. Clinica Chimica Acta, [S.l.], v. 507, p. 139-142, Aug. 2020.
metadata.artigo.dc.description.abstract: Background The detection of SARS-CoV-2 RNA by real-time reverse transcription–polymerase chain reaction (rRT-PCR) is used to confirm the clinical diagnosis of COVID-19 by molecular diagnostic laboratories. We developed a multiplex rRT-PCR methodology for the detection of SARS-CoV-2 RNA. Methods Three genes were used for multiplex rRT-PCR: the Sarbecovirus specific E gene, the SARS-CoV-2 specific N gene, and the human ABL1 gene as an internal control. Results Good correlation of Cq values was observed between the simplex and multiplex rRT-PCR methodologies. Low copies (<25 copies/reaction) of SARS-CoV-2 RNA were detected by the novel multiplex rRT-PCR method. Conclusion The proposed multiplex rRT-PCR methodology will enable highly sensitive detection of SARS-CoV-2 RNA, reducing reagent use and cost, and time required by clinical laboratory technicians.
metadata.artigo.dc.identifier.uri: https://www.sciencedirect.com/science/article/pii/S0009898120301789?via%3Dihub
http://repositorio.ufla.br/jspui/handle/1/42499
metadata.artigo.dc.language: en_US
Appears in Collections:FCS - Artigos sobre Coronavirus Disease 2019 (COVID-19)

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