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整合 miRNA 和 mRNA 表达数据的分析鉴定出多个 miRNA 调控网络,这些网络对于结直肠癌的肿瘤发生起作用。

Integrated analysis of miRNA and mRNA expression data identifies multiple miRNAs regulatory networks for the tumorigenesis of colorectal cancer.

机构信息

State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Si Pai Lou 2#, Nanjing 210096, PR China.

State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Si Pai Lou 2#, Nanjing 210096, PR China; School of medicine, Henan Polytechnic University, Jiaozuo 454003, Henan, PR China.

出版信息

Gene. 2018 Jun 15;659:44-51. doi: 10.1016/j.gene.2018.03.050. Epub 2018 Mar 16.

Abstract

Investigating the potential biological function of differential changed genes through integrating multiple omics data including miRNA and mRNA expression profiles, is always hot topic. However, how to evaluate the repression effect on target genes integrating miRNA and mRNA expression profiles are not fully solved. In this study, we provide an analyzing method by integrating both miRNAs and mRNAs expression data simultaneously. Difference analysis was adopted based on the repression score, then significantly repressed mRNAs were screened out by DEGseq. Pathway analysis for the significantly repressed mRNAs shows that multiple pathways such as MAPK signaling pathway, TGF-beta signaling pathway and so on, may correlated to the colorectal cancer(CRC). Focusing on the MAPK signaling pathway, a miRNA-mRNA network that centering the cell fate genes was constructed. Finally, the miRNA-mRNAs that potentially important in the CRC carcinogenesis were screened out and scored by impact index.

摘要

通过整合 miRNA 和 mRNA 表达谱等多种组学数据来研究差异变化基因的潜在生物学功能一直是热门话题。然而,如何评估 miRNA 和 mRNA 表达谱整合对靶基因的抑制作用尚未完全解决。在这项研究中,我们提供了一种同时整合 miRNA 和 mRNA 表达数据的分析方法。基于抑制分数进行差异分析,然后通过 DEGseq 筛选出显著受抑制的 mRNAs。对显著受抑制的 mRNAs 的通路分析表明,MAPK 信号通路、TGF-β信号通路等多个通路可能与结直肠癌(CRC)相关。聚焦于 MAPK 信号通路,构建了一个以细胞命运基因为中心的 miRNA-mRNA 网络。最后,通过影响指数筛选并评分出在 CRC 发生发展中可能具有重要作用的 miRNA-mRNAs。

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