In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma
Joint Authors
Zafar, Mohammad Ishraq
Chen, Lu-lu
Hu, Shengqing
Liao, Yunfei
Zheng, Juan
Gou, Luoning
Regmi, Anita
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
To better understand the molecular mechanism for the pathogenesis of follicular thyroid carcinoma (FTC), this study aimed at identifying key miRNAs and their target genes associated with FTC, as well as analyzing their interactions.
Based on the gene microarray data GSE82208 and microRNA dataset GSE62054, the differentially expressed genes (DEGs) and microRNAs (DEMs) were obtained using R and SAM software.
The common DEMs from R and SAM were fed to three different bioinformatic tools, TargetScan, miRDB, and miRTarBase, respectively, to predict their biological targets.
With DEGs intersected with target genes of DEMs, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed through the DAVID database.
Then a protein-protein interaction (PPI) network was constructed by STRING.
Finally, the module analysis for PPI network was performed by MCODE and BiNGO.
A total of nine DEMs were identified, and their function might work through regulating hub genes in the PPI network especially KIT and EGFR.
KEGG analysis showed that intersection genes were enriched in the PI3K-Akt signaling pathway and microRNAs in cancer.
In conclusion, the study of miRNA-mRNA network would offer molecular support for differential diagnosis between malignant FTC and benign FTA, providing new insights into the potential targets for follicular thyroid carcinoma diagnosis and treatment.
American Psychological Association (APA)
Hu, Shengqing& Liao, Yunfei& Zheng, Juan& Gou, Luoning& Regmi, Anita& Zafar, Mohammad Ishraq…[et al.]. 2019. In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma. BioMed Research International،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1124043
Modern Language Association (MLA)
Hu, Shengqing…[et al.]. In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma. BioMed Research International No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1124043
American Medical Association (AMA)
Hu, Shengqing& Liao, Yunfei& Zheng, Juan& Gou, Luoning& Regmi, Anita& Zafar, Mohammad Ishraq…[et al.]. In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1124043
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124043