Analysis of mRNA-miRNA Interaction between Breast Tumor Tissues and Adjacent Normal Tissues

  • سال انتشار: 1400
  • محل انتشار: کنفرانس بین المللی ژنتیک و ژنومیکس انسانی
  • کد COI اختصاصی: CHGGE01_134
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 229
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نویسندگان

Zahra Foruzandeh

Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran

Mohammad Reza Alivand

Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran

چکیده

Backgrounds: Breast cancer is a malignant tumor that occurs in the epithelial tissue of the breastgland and has become the most common malignancy in women. MicroRNAs (miRNAs) havebeen linked to a number of cancer types like breast cancer. In this analytical review, weconstructed an initial effort to address the differential expression of the mRNA-miRNAinteraction map between breast cancer tissue samples and normal adjacent samples.Materials and Methods: Our inclusion criteria for recognizing differentially expressed genes(DEGs) chose from Affymetrix- GPL۵۷۰ microarray platforms from Gene Expression Omnibus(GEO). Two miRNA microarray datasets (GSE۴۰۵۲۵ and GSE۴۵۶۶۶) were downloaded fromthe GEO database as well. The analysis was defined using the "LIMMA", “ggplot۲”, and "pheatmap"packages in R software to screen remarkably dysregulated miRNAs attended byprediction of their purpose genes. Functional enrichment analyses were conducted by DAVIDonline tool. Enrichr and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysiswas applied to estimate the possible molecular mechanisms of DEGs. Dysregulated miRNAs ofhub DEGs were predicted by miRTarBase and miRDB.Results: According to the miRNA-target interaction network, of the ۳۰ top DEGs, ۲۰ weredown-regulated and ۱۰ were up-regulated.Conclusion: miRNAs can modulate functional genes expression individually. Compared withnormal breast samples, a panel of miRNAs was consistently dysregulated in breast cancer. Ourfindings will provide the association of potential biomarkers and novel approaches for breastcancer treatment.

کلیدواژه ها

Bioinformatics analysis, GEO, Microarray dataset, Breast cancer, DEGs

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