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Highly specific SNP detection using 2D graphene electronics and DNA strand displacement

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dc.contributor.authorHwang, Michael T.-
dc.contributor.authorLandon, Preston B.-
dc.contributor.authorLee, Joon-
dc.contributor.authorChoi, Duyoung-
dc.contributor.authorMo, Alexander H.-
dc.contributor.authorGlinsky, Gennadi-
dc.contributor.authorLal, Ratnesh-
dc.date.accessioned2021-06-17T00:40:19Z-
dc.date.available2021-06-17T00:40:19Z-
dc.date.created2021-06-17-
dc.date.issued2016-06-
dc.identifier.issn0027-8424-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/81335-
dc.description.abstractSingle-nucleotide polymorphisms (SNPs) in a gene sequence are markers for a variety of human diseases. Detection of SNPs with high specificity and sensitivity is essential for effective practical implementation of personalized medicine. Current DNA sequencing, including SNP detection, primarily uses enzyme-based methods or fluorophore-labeled assays that are time-consuming, need laboratory-scale settings, and are expensive. Previously reported electrical charge-based SNP detectors have insufficient specificity and accuracy, limiting their effectiveness. Here, we demonstrate the use of a DNA strand displacement-based probe on a graphene field effect transistor (FET) for high-specificity, single-nucleotide mismatch detection. The single mismatch was detected by measuring strand displacement-induced resistance (and hence current) change and Dirac point shift in a graphene FET. SNP detection in large double-helix DNA strands (e.g., 47 nt) minimize false-positive results. Our electrical sensor-based SNP detection technology, without labeling and without apparent cross-hybridization artifacts, would allow fast, sensitive, and portable SNP detection with single-nucleotide resolution. The technology will have a wide range of applications in digital and implantable biosensors and high-throughput DNA genotyping, with transformative implications for personalized medicine.-
dc.language영어-
dc.language.isoen-
dc.publisherNATL ACAD SCIENCES-
dc.relation.isPartOfPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-
dc.titleHighly specific SNP detection using 2D graphene electronics and DNA strand displacement-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000379033400046-
dc.identifier.doi10.1073/pnas.1603753113-
dc.identifier.bibliographicCitationPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.113, no.26, pp.7088 - 7093-
dc.description.isOpenAccessN-
dc.citation.endPage7093-
dc.citation.startPage7088-
dc.citation.titlePROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-
dc.citation.volume113-
dc.citation.number26-
dc.contributor.affiliatedAuthorHwang, Michael T.-
dc.type.docTypeArticle-
dc.subject.keywordAuthorbioelectronics-
dc.subject.keywordAuthorgraphene FET DNA sensor-
dc.subject.keywordAuthorelectrical biosensor-
dc.subject.keywordAuthorDNA strand displacement-
dc.subject.keywordAuthorSNP detection-
dc.subject.keywordPlusFIELD-EFFECT TRANSISTOR-
dc.subject.keywordPlusCVD-GROWN GRAPHENE-
dc.subject.keywordPlusLABEL-FREE DETECTION-
dc.subject.keywordPlusSILICON-NANOWIRE-
dc.subject.keywordPlusHYBRIDIZATION-
dc.subject.keywordPlusPROBE-
dc.subject.keywordPlusPLATFORM-
dc.subject.keywordPlusSINGLE-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusBIOMOLECULES-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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