Open Access System for Information Sharing

Login Library

 

Article
Cited 4 time in webofscience Cited 5 time in scopus
Metadata Downloads
Full metadata record
Files in This Item:
There are no files associated with this item.
DC FieldValueLanguage
dc.contributor.authorHwang, HS-
dc.contributor.authorShin, GW-
dc.contributor.authorJung, GY-
dc.contributor.authorJung, GY-
dc.date.accessioned2016-03-31T07:42:14Z-
dc.date.available2016-03-31T07:42:14Z-
dc.date.created2015-02-09-
dc.date.issued2014-12-
dc.identifier.issn0173-0835-
dc.identifier.other2015-OAK-0000031495-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/13921-
dc.description.abstractA simple and precise diagnostic method for spinal muscular atrophy (SMA) using high-resolution CE-based single-strand conformation polymorphism (CE-SSCP) was developed in this study. SMA is a common genetic disorder caused by an abnormality in the relative copy numbers of SMN1 and its centromeric copy SMN2, which differ only in two nucleotides, namely at exons 7 and 8. Therefore, the precise discrimination of the differences in sequence as well as their relative quantities is crucial for the diagnosis of SMA. Multiplex ligation-dependent probe amplification and sequence-sensitive DNA separation using hydroxyethyl cellulose and hydroxypropyl cellulose blended polymer matrix are currently the available methods used in the diagnosis of SMA. However, these methods are limited by their extended hybridization step and low resolution. In this study, the simultaneous discrimination of SMN exons 7 and 8 was successfully demonstrated using high-resolution CE-SSCP. Unlike the previously reported alternative method, single base differing amplicons were baseline-separated because of its extraordinary resolution, thus providing accurate and precise quantification of each paralog.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherWILEY-BLACKWELL-
dc.relation.isPartOfELECTROPHORESIS-
dc.subjectCE-SSCP-
dc.subjectQuantitative analysis-
dc.subjectSingle-nucleotide polymorphism-
dc.subjectSpinal muscular atrophy-
dc.subjectRESOLUTION CE-SSCP-
dc.subjectCAPILLARY-ELECTROPHORESIS-
dc.subjectPOLYMORPHISM-
dc.subjectGENES-
dc.subjectPCR-
dc.subjectPREDICTION-
dc.subjectCHINESE-
dc.subjectSMN1-
dc.subjectSMA-
dc.titleA simple and precise diagnostic method for spinal muscular atrophy using a quantitative SNP analysis system-
dc.typeArticle-
dc.contributor.college화학공학과-
dc.identifier.doi10.1002/ELPS.201400207-
dc.author.googleHwang, HS-
dc.author.googleShin, GW-
dc.author.googleJung, GY-
dc.relation.volume35-
dc.relation.issue23-
dc.relation.startpage3402-
dc.relation.lastpage3407-
dc.contributor.id10130678-
dc.relation.journalELECTROPHORESIS-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationELECTROPHORESIS, v.35, no.23, pp.3402 - 3407-
dc.identifier.wosid000345972900016-
dc.date.tcdate2019-01-01-
dc.citation.endPage3407-
dc.citation.number23-
dc.citation.startPage3402-
dc.citation.titleELECTROPHORESIS-
dc.citation.volume35-
dc.contributor.affiliatedAuthorJung, GY-
dc.identifier.scopusid2-s2.0-84914162931-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc3-
dc.description.scptc2*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordPlusRESOLUTION CE-SSCP-
dc.subject.keywordPlusCAPILLARY-ELECTROPHORESIS-
dc.subject.keywordPlusPOLYMORPHISM-
dc.subject.keywordPlusGENES-
dc.subject.keywordPlusPCR-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusCHINESE-
dc.subject.keywordPlusSMN1-
dc.subject.keywordPlusSMA-
dc.subject.keywordAuthorCE-SSCP-
dc.subject.keywordAuthorQuantitative analysis-
dc.subject.keywordAuthorSingle-nucleotide polymorphism-
dc.subject.keywordAuthorSpinal muscular atrophy-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalResearchAreaChemistry-

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

정규열JUNG, GYOO YEOL
Dept. of Chemical Enginrg
Read more

Views & Downloads

Browse