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dc.contributor.authorKim, Mi Yeon-
dc.contributor.authorJung, Seungwon-
dc.contributor.authorKim, Junsun-
dc.contributor.authorLee, Heon Jeong-
dc.contributor.authorJeong, Seunghwa-
dc.contributor.authorSim, Sang Jun-
dc.contributor.authorKim, Sang Kyung-
dc.date.accessioned2024-01-19T15:05:24Z-
dc.date.available2024-01-19T15:05:24Z-
dc.date.created2021-09-05-
dc.date.issued2021-03-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/117327-
dc.description.abstractGiven the growing interest in molecular diagnosis, highly extensive and selective detection of genetic targets from a very limited amount of samples is in high demand. We demonstrated the highly sensitive and multiplexed one-step RT-qPCR platform for RNA analysis using microparticles as individual reactors. Those particles are equipped with a controlled release system of thermo-responsive materials, and are able to capture RNA targets inside. The particle-based assay can successfully quantify multiple target RNAs from only 200 pg of total RNA. The assay can also quantify target RNAs from a single cell with the aid of a pre-concentration process. We carried out 8-plex one-step RT-qPCR using tens of microparticles, which allowed extensive mRNA profiling. The circadian cycles were shown by the multiplex one-step RT-qPCR in human cell and human hair follicles. Reliable 24-plex one-step RT-qPCR was developed using a single operation in a PCR chip without any loss of performance (i.e., selectivity and sensitivity), even from a single hair. Many other disease-related transcripts can be monitored using this versatile platform. It can also be used non-invasively for samples obtained in clinics.-
dc.languageEnglish-
dc.publisherNature Publishing Group-
dc.titleHighly sensitive and multiplexed one-step RT-qPCR for profiling genes involved in the circadian rhythm using microparticles-
dc.typeArticle-
dc.identifier.doi10.1038/s41598-021-85728-y-
dc.description.journalClass1-
dc.identifier.bibliographicCitationScientific Reports, v.11, no.1-
dc.citation.titleScientific Reports-
dc.citation.volume11-
dc.citation.number1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000632048200009-
dc.identifier.scopusid2-s2.0-85102676746-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.type.docTypeArticle-
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KIST Article > 2021
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