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CRISPR/Cas9 based genome editing for targeted transcriptional control in triple-negative breast cancer

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dc.contributor.authorSingh, Desh Deepak-
dc.contributor.authorHan, Ihn-
dc.contributor.authorChoi, Eun-Ha-
dc.contributor.authorYadav, Dharmendra Kumar-
dc.date.accessioned2021-09-22T11:40:04Z-
dc.date.available2021-09-22T11:40:04Z-
dc.date.created2021-05-17-
dc.date.issued2021-04-
dc.identifier.issn2001-0370-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/82188-
dc.description.abstractBreast cancer (BC) is the most common type of cancer in women at the global level and the highest mortality rate has been observed with triple-negative breast cancer (TNBC). Accumulation of genetic lesions an aberrant gene expression and protein degradation are considered to underlie the onset of tumorigenesis and metastasis. Therefore, the challenge to identify the genes and molecules that could be potentially used as potent biomarkers for personalized medicine against TNBC with minimal or no associated side effects. Discovery of the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated protein 9 (Cas9) arrangement and an increasing repertoire of its new variants has provided a much-needed fillip towards editing TNBC genomes. In this review, we discuss the CRISPR/Cas9 genome editing, CRISPR Technology for diagnosis of (Triple-negative breast cancer) TNBC, Drug Resistance, and potential applications of CRISPR/Cas9 and its variants in deciphering or engineering intricate molecular and epigenetic mechanisms associated with TNBC. Furthermore, we have also explored the TNBC and CRISPR/Cas9 genome editing potential for repairing, genetic modifications in TNBC. © 2021 The Author(s)-
dc.language영어-
dc.language.isoen-
dc.publisherELSEVIER-
dc.relation.isPartOfComputational and Structural Biotechnology Journal-
dc.titleCRISPR/Cas9 based genome editing for targeted transcriptional control in triple-negative breast cancer-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000692620700009-
dc.identifier.doi10.1016/j.csbj.2021.04.036-
dc.identifier.bibliographicCitationComputational and Structural Biotechnology Journal, v.19, pp.2384 - 2397-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85105247615-
dc.citation.endPage2397-
dc.citation.startPage2384-
dc.citation.titleComputational and Structural Biotechnology Journal-
dc.citation.volume19-
dc.contributor.affiliatedAuthorYadav, Dharmendra Kumar-
dc.type.docTypeReview-
dc.subject.keywordAuthorAnti-cancer drug resistance-
dc.subject.keywordAuthorCRISPR/Cas9-
dc.subject.keywordAuthorTranscription factor-
dc.subject.keywordAuthorTriple-negative breast cancer-
dc.subject.keywordAuthorTumorigenesis-
dc.subject.keywordPlusDiagnosis-
dc.subject.keywordPlusDiseases-
dc.subject.keywordPlusProteins-
dc.subject.keywordPlusAnti-cancer drug resistance-
dc.subject.keywordPlusBreast Cancer-
dc.subject.keywordPlusClustered regularly interspaced short palindromic repeat/CRISPR associated protein 9-
dc.subject.keywordPlusGenes expression-
dc.subject.keywordPlusMortality rate-
dc.subject.keywordPlusPalindromic-
dc.subject.keywordPlusProtein degradation-
dc.subject.keywordPlusTranscriptional control-
dc.subject.keywordPlusTriple-negative breast cancers-
dc.subject.keywordPlusTumorigenesis-
dc.subject.keywordPlusTranscription-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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