DC Field | Value | Language |
---|---|---|
dc.contributor.author | J H Ahn | - |
dc.contributor.author | S H Hwang | - |
dc.contributor.author | Hyun Soo Cho | - |
dc.contributor.author | M Lee | - |
dc.date.accessioned | 2019-07-10T01:23:18Z | - |
dc.date.available | 2019-07-10T01:23:18Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1976-9148 | - |
dc.identifier.uri | 10.4062/biomolther.2018.133 | ko |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/18741 | - |
dc.description.abstract | Melanoma cells have been shown to respond to BRAF inhibitors; however, intrinsic and acquired resistance limits their clinical application. In this study, we performed RNA-Seq analysis with BRAF inhibitor-sensitive (A375P) and -resistant (A375P/Mdr with acquired resistance and SK-MEL-2 with intrinsic resistance) melanoma cell lines, to reveal the genes and pathways potentially involved in intrinsic and acquired resistance to BRAF inhibitors. A total of 546 differentially expressed genes (DEGs), including 239 up-regulated and 307 down-regulated genes, were identified in both intrinsic and acquired resistant cells. Gene ontology (GO) analysis revealed that the top 10 biological processes associated with these genes included angiogenesis, immune response, cell adhesion, antigen processing and presentation, extracellular matrix organization, osteoblast differentiation, collagen catabolic process, viral entry into host cell, cell migration, and positive regulation of protein kinase B signaling. In addition, using the PANTHER GO classification system, we showed that the highest enriched GOs targeted by the 546 DEGs were responses to cellular processes (ontology: biological process), binding (ontology: molecular function), and cell subcellular localization (ontology: cellular component). Ingenuity pathway analysis (IPA) network analysis showed a network that was common to two BRAF inhibitorresistant cells. Taken together, the present study may provide a useful platform to further reveal biological processes associated with BRAF inhibitor resistance, and present areas for therapeutic tool development to overcome BRAF inhibitor resistance. | - |
dc.publisher | Korea Soc-Assoc-Inst | - |
dc.title | Differential gene expression common to acquired and intrinsic resistance to BRAF inhibitor revealed by RNA-Seq analysis | - |
dc.title.alternative | Differential gene expression common to acquired and intrinsic resistance to BRAF inhibitor revealed by RNA-Seq analysis | - |
dc.type | Article | - |
dc.citation.title | Biomolecules & Therapeutics | - |
dc.citation.number | 3 | - |
dc.citation.endPage | 310 | - |
dc.citation.startPage | 302 | - |
dc.citation.volume | 27 | - |
dc.contributor.affiliatedAuthor | Hyun Soo Cho | - |
dc.contributor.alternativeName | 안준호 | - |
dc.contributor.alternativeName | 황성희 | - |
dc.contributor.alternativeName | 조현수 | - |
dc.contributor.alternativeName | 이미가엘 | - |
dc.identifier.bibliographicCitation | Biomolecules & Therapeutics, vol. 27, no. 3, pp. 302-310 | - |
dc.identifier.doi | 10.4062/biomolther.2018.133 | - |
dc.subject.keyword | BRAF inhibitor | - |
dc.subject.keyword | Drug resistance | - |
dc.subject.keyword | Melanoma | - |
dc.subject.keyword | RNA-Seq analysis | - |
dc.subject.local | BRAF inhibitor | - |
dc.subject.local | Drug resistance | - |
dc.subject.local | Drug-resistance | - |
dc.subject.local | drug-resistance | - |
dc.subject.local | drug resistance | - |
dc.subject.local | melanoma | - |
dc.subject.local | Melanoma | - |
dc.subject.local | RNA-Seq (quantification) analysis | - |
dc.subject.local | RNA-Seq analysis | - |
dc.subject.local | RNA-seq analysis | - |
dc.description.journalClass | Y | - |
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