Literature DB >> 32360250

Investigation of microRNA expression signatures in HCC via microRNA Gene Chip and bioinformatics analysis.

Lei Zhou1, Wentao Zhu2, Guanxi Wang3, Xuefeng Cao2, Xingyuan Zhang2, Qiangpu Chen2.   

Abstract

BACKGROUND: Dysregulation of miRNAs is closely involved with hepatocellular carcinoma (HCC) progression, oncogenesis and signalling pathways. The aim of this study was to investigate differences in expression of miRNAs in HCC tissue in comparison to healthy liver tissue, as well as to explore the key miRNA-targeted genes.
METHODS: Gene Chip microarray analysis was used to analyse differentially expressed miRNAs (DEMs) in tissues, and qRT-PCR was performed to validate the top 9 downregulated miRNAs. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed for target genes using the DAVID database. A protein-protein interaction (PPI) network of the target genes was created by STRING and visualised using Cytoscape. Three online miRNA databases were utilised to aid in the prediction of genes targeted by the top 10 significantly altered DEMs.
RESULTS: In total, 153 upregulated and 206 downregulated miRNAs were identified in HCC tissue. The genes targeted by the top 10 increased and decreased miRNAs were 6 and 1060, respectively. Moreover, FOXO1 was projected to be regulated by all twenty miRNAs. A PPI network was constructed that consisted of 956 nodes and 1298 edges. Four significant modules, consisting of 66 hub genes, were detected from the PPI system via MCODE. Functional enrichment demonstrated that miRNAs have a vital function in cancer development and advancement.
CONCLUSION: In summary, our study identified DEMs in HCC tissue, major target genes and possible molecular mechanisms that underlie HCC, providing novel insights for treatment approaches.
Copyright © 2020 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  bioinformatics analysis; differentially expressed microRNAs; functional enrichment; hepatocellular carcinoma

Mesh:

Substances:

Year:  2020        PMID: 32360250     DOI: 10.1016/j.prp.2020.152982

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  3 in total

1.  Construction of transgenic detection system of Brassica napus L. based on single nucleotide polymorphism chip.

Authors:  Enqiang Zhou; Nuan Song; Qing Xiao; Zunaira Farooq; Zhibo Jia; Jing Wen; Cheng Dai; Chaozhi Ma; Jinxing Tu; Jinxiong Shen; Tingdong Fu; Bin Yi
Journal:  3 Biotech       Date:  2021-12-08       Impact factor: 2.406

2.  Identification of G6PC as a potential prognostic biomarker in hepatocellular carcinoma based on bioinformatics analysis.

Authors:  Li Tian; Yong Liao
Journal:  Medicine (Baltimore)       Date:  2022-08-19       Impact factor: 1.817

3.  Hyaluronan-mediated motility receptor antisense RNA 1 promotes hepatitis B virus-related hepatocellular carcinoma progression by regulating miR-627-3p/High Mobility Group AT-hook 2 axis.

Authors:  Hai Zhuang; Xiaoxia Ma; Xiaoyan Liu; Chao Li; Xinying Li; Ling Wu; Maofei Wen; Wenli Shi; Xiaozhou Yang
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.