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dc.contributor.authorKarami, F
dc.contributor.authorMohammadi-Yeganeh, S
dc.contributor.authorAbedi, N
dc.contributor.authorKoochaki, A
dc.contributor.authorKia, V
dc.contributor.authorParyan, M
dc.date.accessioned2018-08-26T08:37:27Z
dc.date.available2018-08-26T08:37:27Z
dc.date.issued2016
dc.identifier10.1111/cbdd.12671
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/52839
dc.description.abstractBreast cancer is one of the most prevalent malignancies among women worldwide. Triple negative breast cancer (TNBC) is a type of breast cancer in which estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (HER-2) are not expressed. There is no targeted therapy for this type of cancer, and available therapies have poor therapeutic effects. Performing a preliminary research, we selected cyclin D1 (CCND1) gene of Wnt signaling pathway which is a target of miRNAs, a promising set of biomolecules in diagnosis and treatment of breast cancer. In this study using bioinformatic analyses, miR-17 was selected as it targets the 3?UTR of CCND1 gene with the highest score. Luciferase assay results also confirmed the bioinformatic prediction. Decreased expression of miR-17 in MDA-MB-231 cell line was observed using qRT-PCR method. After lentiviral transduction of miR-17 to the target cells, gene expression analysis showed decreased expression of CCND1 gene. We found miR-17 as an attractive molecule that after intensive research can probably be used as a biomarker in TNBC. é 2015 John Wiley & Sons A/S.
dc.language.isoEnglish
dc.relation.ispartofChemical Biology and Drug Design
dc.subjectcyclin D1
dc.subjectlentivirus vector
dc.subjectmessenger RNA
dc.subjectmicroRNA
dc.subjectmicroRNA 17
dc.subjectunclassified drug
dc.subjectcyclin D1
dc.subjectmessenger RNA
dc.subjectmicroRNA
dc.subjectMIRN17 microRNA, human
dc.subject3' untranslated region
dc.subjectArticle
dc.subjectbioinformatics
dc.subjectbreast cancer cell line
dc.subjectcontrolled study
dc.subjectembryo
dc.subjectgene expression
dc.subjectgenetic transduction
dc.subjecthuman
dc.subjecthuman cell
dc.subjectin vitro study
dc.subjectluciferase assay
dc.subjectprediction
dc.subjectpriority journal
dc.subjectquantitative analysis
dc.subjectreverse transcription polymerase chain reaction
dc.subjecttriple negative breast cancer
dc.subjectWnt signaling pathway
dc.subjectbiology
dc.subjectfemale
dc.subjectgenetics
dc.subjectHEK293 cell line
dc.subjecttriple negative breast cancer
dc.subjectComputational Biology
dc.subjectCyclin D1
dc.subjectFemale
dc.subjectHEK293 Cells
dc.subjectHumans
dc.subjectIn Vitro Techniques
dc.subjectMicroRNAs
dc.subjectRNA, Messenger
dc.subjectTriple Negative Breast Neoplasms
dc.titleBioinformatics Prediction and in Vitro Analysis Revealed That miR-17 Targets Cyclin D1 mRNA in Triple Negative Breast Cancer Cells
dc.typeArticle
dc.citation.volume87
dc.citation.issue3
dc.citation.spage317
dc.citation.epage320
dc.citation.indexScopus
dc.identifier.DOI10.1111/cbdd.12671


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