Title: MicroRNA related anti-tumour pathways analysis in HeLa cell lines dysregulated by lupeol

Authors: Xiyuan Lu; Cuihong Dai; Aiju Hou; Jie Cui; Dayou Cheng; Liqiang Pan; Dechang Xu

Addresses: School of Food Science and Engineering, Harbin Institute of Technology, Harbin, China; Department of Nutritional Sciences, University of Texas at Austin, TX, USA ' School of Food Science and Engineering, Harbin Institute of Technology, Harbin, China ' School of Food Science and Engineering, Harbin Institute of Technology, Harbin, China ' School of Food Science and Engineering, Harbin Institute of Technology, Harbin, China ' School of Food Science and Engineering, Harbin Institute of Technology, Harbin, China ' School of Computer Science & Technology, Harbin Institute of Technology, Harbin, China ' School of Food Science and Engineering, Harbin Institute of Technology, Harbin, China

Abstract: Lupeol attracted lots of research attention because of its anti-tumour activity. This study investigates the complete small RNA sequencing data analysis process, including miRNA annotation, novel miRNA prediction, dysregulated miRNA identification, miRNA target prediction, and target gene ontology analysis, and compares the complete miRNA profile of HeLa cell lines between lupeol treatment group and control group. The experimental results indicate that the predicted miRNAs are highly associated with carcinogenesis. By integrating miRNA profile with transcriptome and proteome, we select out the miRNA-target pairs for further real time quantitative PCR identification. MiR-183-96-182 cluster is significantly down-regulated in HeLa cells treated by lupeol, and KIAA1199 mRNA is the target of miR-183, while PBX1 mRNA is the target of miR-182. We conclude that lupeol participates in various molecular pathways, of which Wnt signalling pathway and BAX verify the previous research results.

Keywords: small RNA sequencing; transcriptome; proteome; lupeol treatment; miR-183-96-182 cluster; KIAA1199; PBX1; anti-tumour pathways; pathway analysis; HeLa cell lines; miRNA annotation; miRNA prediction; dysregulated miRNA identification; miRNA target prediction; gene ontology analysis; tumours; tumour pathways; cancer cells; molecular pathways; bioinformatics.

DOI: 10.1504/IJDMB.2016.079775

International Journal of Data Mining and Bioinformatics, 2016 Vol.16 No.1, pp.1 - 16

Received: 07 Jan 2015
Accepted: 25 Jan 2015
Published online: 14 Oct 2016 *

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