Analysis of the function of microRNA-375 in humans using bioinformatics

Chen,Xiaohua; Li,Baoxia; Luo,Rongcheng; Cai,Sina; Zhang,Cao; Cao,Xiaolong

doi:10.3892/br.2017.889

Analysis of the function of microRNA-375 in humans using bioinformatics

Authors:
- Xiaohua Chen
- Baoxia Li
- Rongcheng Luo
- Sina Cai
- Cao Zhang
- Xiaolong Cao
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Affiliations: Department of Oncology, Panyu Central Hospital, Cancer Institute of Panyu, Guangzhou, Guangdong 511400, P.R. China, Department of Oncology, South China State Laboratory, Cancer Center of Sun Yat‑sen University, Guangzhou, Guangdong 510060, P.R. China, Department of Oncology, Nanfang Hospital of Southern Medical University, Guangzhou, Guangdong 510515, P.R. China, Department of Oncology, The Hospital of Third Affiliated Southern Medical University, Guangzhou, Guangdong 510630, P.R. China
Published online on: April 10, 2017 https://doi.org/10.3892/br.2017.889
Pages: 561-566

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Abstract

MicroRNA-375 (miR-375) is expressed at low levels in many types of solid tumor, particularly in gastrointestinal tumors. It is considered to be important in the development of cancer and certain diseases. Thus, more detailed knowledge is required on the particular functions of miR‑375. miRs function by regulating target genes. Therefore, in the current study, miRWalk (which includes the data from 10 prediction software programs) was used to predict the target genes of miR‑375. The genes, which were co‑predicted using five different software programs were further analyzed using Database for Annotation, Visualization and Integrated Discovery online software [including gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis]. Subsequently, the online tool, Search Tool for the Retrieval of Interacting Genes, was used to analyze the protein‑protein interaction and construct modules using Cytoscape. The result demonstrated 6,574 predicted genes, 1,325 of which were co‑predicted. The GO analysis result indicated that, in biological processes, the co‑predicted genes were significantly enriched in the regulation of nervous system development and cell differentiation, and the highest enrichment of molecular function was ion binding. In KEGG analysis, the genes were enriched in the Hippo signaling pathway, glutamatergic synapse, circadian entrainment and the phosphoinositide 3‑kinase (PI3K)‑Akt signaling pathway. The top 10 hub proteins were mechanistic target of rapamycin, PH domain and leucine rich repeat protein phosphatase 1, ubiquitously transcribed tetratricopeptide repeat containing, Y‑linked, histone deacetylase 2, F‑box and leucine rich repeat protein 19, KIT proto‑oncogene receptor tyrosine kinase, angiotensinogen, Janus kinase 2, fibroblast growth factor 2 and RNA polymerase II subunit A. These proteins predominantly regulate the development and progression of cancer, hypertension, essential thrombocythemia and inflammation. The genes in the top seven modules selected were identified to be primarily enriched in chemokines, extracellular matrix‑receptor interaction, focal adhesion, the PI3K‑Akt signaling pathway, amoebiasis and protein processing signaling pathway. Thus, the target genes and hub proteins that were predicted in the current study were identified to be important in regulating the development and progression of cancer and certain diseases. Furthermore, they present potential novel biomarkers for tumor diagnosis and candidate targets for treatment, and indicate that further research is required to establish the functions of miR‑375.

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