Investigating miRNA-mRNA regulatory networks using crosslinking immunoprecipitation methods for biomarker and target discovery in cancer

被引:8
|
作者
Prado, Mireia Mato [1 ]
Frampton, Adam E. [1 ,2 ]
Giovannetti, Elisa [3 ,4 ,5 ]
Stebbing, Justin [1 ]
Castellano, Leandro [1 ]
Krell, Jonathan [1 ]
机构
[1] Imperial Coll, Imperial Ctr Translat & Expt Med, Dept Surg & Canc, Div Canc, Hammersmith Hosp Campus,Du Cane Rd, London W12 0NN, England
[2] Imperial Coll, Dept Surg & Canc, HPB Surg Unit, London, England
[3] Vrije Univ Amsterdam, Dept Med Oncol, Med Ctr, Amsterdam, Netherlands
[4] Univ Pisa, Canc Pharmacol Lab, AIRC Start Up Unit, Pisa, Italy
[5] CNR Nano, Inst Nanosci & Nanotechnol, Pisa, Italy
关键词
microRNA; cancer; targetome; therapy; PAR-CLIP; biomarker; CLASH; RNA sequencing; pancreatic Cancer; WEB SERVER; MICRORNA BIOGENESIS; BINDING PROTEIN; NUCLEAR EXPORT; ARGONAUTE CLIP; PREDICTION; IDENTIFICATION; REVEALS; SITES; COMPLEX;
D O I
10.1080/14737159.2016.1239532
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Introduction: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the post-transcriptional level. Recently, different experimental approaches, such as RNA Sequencing, crosslinking immunoprecipitation (CLIP) methods and its variations, together with computational approaches have been developed to elucidate the miRNA-mRNA targetome.Areas covered: This report focuses on comparing the different experimental and computational approaches, describing their advantages and disadvantages and providing several examples of preclinical (in vitro and in vivo) and clinical studies that have identified miRNA target genes in various tumour types, including breast, ovary, colorectal and pancreas.Expert commentary: The combination of CLIP methods with bioinformatic analyses is essential to better predict miRNA-mRNA interactions and associate their specific pathways within the extensive regulatory network. Nevertheless, further studies are needed to overcome the difficulties these methods have, in order to find a gold standard method that identifies, without any bias, the regulatory association between miRNAs and their target mRNAs.
引用
收藏
页码:1155 / 1162
页数:8
相关论文
共 50 条
  • [1] Discovery of functional miRNA-mRNA regulatory modules with computational methods
    Liu, Bing
    Li, Jiuyong
    Tsykin, Anna
    JOURNAL OF BIOMEDICAL INFORMATICS, 2009, 42 (04) : 685 - 691
  • [2] Regulatory miRNA-mRNA Networks in Parkinson's Disease
    Santos-Lobato, Bruno Lopes
    Vidal, Amanda Ferreira
    Ribeiro-dos-Santos, Andrea
    CELLS, 2021, 10 (06)
  • [3] Identification of an MiRNA-mRNA Regulatory Network in Colorectal Cancer
    Cui, Ming-fu
    Wu, Yuan-yu
    Chen, Ming-yan
    Zhao, Yang
    Han, Song-yun
    Wang, Rui-jie
    Zhang, Hai-yan
    Fang, Xue-dong
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2021, 24 (10) : 1736 - 1745
  • [4] Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods
    Su, Yinan
    Zhang, Mingqing
    Zhang, Lin
    Chen, Shuo
    Zhang, Dan
    Zhang, Xipeng
    ANTI-CANCER DRUGS, 2019, 30 (06) : 588 - 595
  • [5] A review on methods for predicting miRNA-mRNA regulatory modules
    Madhumita, Madhumita
    Paul, Sushmita
    JOURNAL OF INTEGRATIVE BIOINFORMATICS, 2022, 19 (03)
  • [6] Prediction of Blood miRNA-mRNA Regulatory Network in Gastric Cancer
    Nooh, Mona
    Hakemi-Vala, Mojdeh
    Nowroozi, Jamileh
    Fatemi, Seyed-Reza
    Dezfulian, Mehrouz
    REPORTS OF BIOCHEMISTRY AND MOLECULAR BIOLOGY, 2021, 10 (02): : 243 - 256
  • [7] Discovery of miRNA-mRNA regulatory networks in glioblastoma reveals novel insights into tumor microenvironment remodeling
    Grigore, Iulia A.
    Rajagopal, Athulram
    Chow, Jonathan Tak-Sum
    Stone, Thomas J.
    Salmena, Leonardo
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [8] Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction
    Pham, Vu V. H.
    Zhang, Junpeng
    Liu, Lin
    Buu Truong
    Xu, Taosheng
    Nguyen, Trung T.
    Li, Jiuyong
    Le, Thuc D.
    BMC BIOINFORMATICS, 2019, 20 (1)
  • [9] Construction and analysis of miRNA-mRNA regulatory networks in the radioresistance of nasopharyngeal carcinoma
    Zhao, Houyu
    Chang, Aoshuang
    Ling, Junjun
    Zhou, Wei
    Ye, Huiping
    Zhuo, Xianlu
    3 BIOTECH, 2020, 10 (12)
  • [10] Construction and analysis of miRNA-mRNA regulatory networks in the radioresistance of nasopharyngeal carcinoma
    Houyu Zhao
    Aoshuang Chang
    Junjun Ling
    Wei Zhou
    Huiping Ye
    Xianlu Zhuo
    3 Biotech, 2020, 10