One-Step RT-qPCR for Viral RNA Detection Using Digital Analysis
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Hyuna | - |
dc.contributor.author | Jung, Wonjong | - |
dc.contributor.author | Jang, Hyeongseok | - |
dc.contributor.author | Namkoong, Kak | - |
dc.contributor.author | Choi, Kwon-Young | - |
dc.date.accessioned | 2023-03-27T06:42:05Z | - |
dc.date.available | 2023-03-27T06:42:05Z | - |
dc.date.created | 2023-03-27 | - |
dc.date.issued | 2022-03 | - |
dc.identifier.issn | 2296-4185 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/87299 | - |
dc.description.abstract | The rapid detection of viruses is becoming increasingly important to prevent widespread infections. However, virus detection via reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is time-consuming, as it involves independent nucleic acid extraction and complementary DNA synthesis. This process limits the potential for rapid diagnosis and mass analysis, which are necessary to curtail viral spread. In this study, a simple and rapid thermolysis method was developed to circumvent the need for extraction and purification of viral RNA. The developed protocol was applied to one-chip digital PCR (OCdPCR), which allowed thermolysis, RT, and digital PCR in a single unit comprising 20,000 chambers of sub-nanoliter volume. Two viruses such as tobacco mosaic virus and cucumber mosaic virus were tested as model viral particles. First, the temperature, exposure time, and template concentration were optimized against tobacco mosaic viral particles, and the most efficient conditions were identified as 85 degrees C, 5 min, and 0.01 mu g/nL with a cycle threshold of approximately 33. Finally, the OCdPCR analysis yielded 1,130.2 copies/mu L using 10(-2) mu g/nL of viral particles in a 30 min thermolysis-RT reaction at 70 degrees C. This novel protocol shows promise as a quick, accurate, and precise method for large-scale viral analysis in the future. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | FRONTIERS MEDIA SA | - |
dc.relation.isPartOf | FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY | - |
dc.title | One-Step RT-qPCR for Viral RNA Detection Using Digital Analysis | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000774102300001 | - |
dc.identifier.doi | 10.3389/fbioe.2022.837838 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v.10 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.scopusid | 2-s2.0-85127266514 | - |
dc.citation.title | FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY | - |
dc.citation.volume | 10 | - |
dc.contributor.affiliatedAuthor | Jung, Wonjong | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | thermolysis | - |
dc.subject.keywordAuthor | RT-qPCR | - |
dc.subject.keywordAuthor | virus detection | - |
dc.subject.keywordAuthor | one-chip digital PCR | - |
dc.subject.keywordAuthor | multiplex detection | - |
dc.subject.keywordPlus | SARS-COV-2 DETECTION | - |
dc.subject.keywordPlus | PCR | - |
dc.subject.keywordPlus | AMPLIFICATION | - |
dc.subject.keywordPlus | EXTRACTION | - |
dc.subject.keywordPlus | VIRUS | - |
dc.subject.keywordPlus | KIT | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.