DC Field | Value | Language |
---|---|---|
dc.contributor.author | J Park | - |
dc.contributor.author | H Han | - |
dc.contributor.author | J H Jeung | - |
dc.contributor.author | Hyowon Jang | - |
dc.contributor.author | C Park | - |
dc.contributor.author | J K Ahn | - |
dc.date.accessioned | 2022-11-30T16:33:54Z | - |
dc.date.available | 2022-11-30T16:33:54Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2590-1370 | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/30674 | - |
dc.description.abstract | Herein, we described a washing- and label-free clustered regularly interspaced short palindromic repeats (CRISPR)/LwaCas13a-based RNA detection method utilizing a personal glucose meter (PGM), which relies on the trans-cleavage activity of CRISPR/Cas13a and kinase reactions. In principle, the presence of target RNA activates the trans-cleavage of CRISPR/Cas13a, generating 2',3'-cyclic phosphate adenosine, which is converted to adenosine monophosphate (AMP) by the T4 polynucleotide kinase. Subsequently, the AMP is converted to adenosine diphosphate (ADP) through phosphorylation by a myokinase; ADP is then used as a substrate in the cascade enzymatic reaction promoted by pyruvate kinase and hexokinase. The overall reaction leads to the continuous conversion of glucose to glucose-6-phosphate, resulting in a reduction of glucose concentration proportional to the level of target RNA, which can therefore be indirectly measured with a PGM. By employing this novel strategy, severe acute respiratory syndrome coronavirus-2 RNA can be successfully detected with excellent specificity. In addition, we were able to overcome non-specific responses of CRISPR/Cas13a and distinguish single nucleotide polymorphisms by introducing a single-base mismatch in the complementary RNA. Our study provides an alternative coronavirus disease 2019 detection technology that is affordable, accessible, and portable with a fast turnaround time and excellent selectivity. | - |
dc.publisher | Elsevier | - |
dc.title | CRISPR/Cas13a-assisted AMP generation for SARS-CoV-2 RNA detection using a personal glucose meter | - |
dc.title.alternative | CRISPR/Cas13a-assisted AMP generation for SARS-CoV-2 RNA detection using a personal glucose meter | - |
dc.type | Article | - |
dc.citation.title | Biosensors and Bioelectronics: X | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 100283 | - |
dc.citation.startPage | 100283 | - |
dc.citation.volume | 12 | - |
dc.contributor.affiliatedAuthor | Hyowon Jang | - |
dc.contributor.alternativeName | 박준현 | - |
dc.contributor.alternativeName | 한효구 | - |
dc.contributor.alternativeName | 정재훈 | - |
dc.contributor.alternativeName | 장효원 | - |
dc.contributor.alternativeName | 박치현 | - |
dc.contributor.alternativeName | 안준기 | - |
dc.identifier.bibliographicCitation | Biosensors and Bioelectronics: X, vol. 12, pp. 100283-100283 | - |
dc.identifier.doi | 10.1016/j.biosx.2022.100283 | - |
dc.subject.keyword | SARS-CoV-2 | - |
dc.subject.keyword | CRISPR/Cas13a | - |
dc.subject.keyword | Kinase | - |
dc.subject.keyword | Cascade enzymatic reaction | - |
dc.subject.keyword | Personal glucose meter | - |
dc.subject.keyword | Biosensor | - |
dc.subject.local | SARS-CoV-2 | - |
dc.subject.local | SARS-Cov-2 | - |
dc.subject.local | kinase | - |
dc.subject.local | Kinase | - |
dc.subject.local | Biosensor | - |
dc.subject.local | Biosensors | - |
dc.subject.local | biosensor | - |
dc.subject.local | biosensors | - |
dc.subject.local | Bio-sensor | - |
dc.description.journalClass | N | - |
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