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
  • [31] Unravelling microRNA regulation and miRNA-mRNA regulatory networks in osteogenesis driven by 3D nanotopographical cues
    Balachander, Gowri Manohari
    Nilawar, Sagar
    Meka, Sai Rama Krishna
    Ghosh, Lopamudra Das
    Chatterjee, Kaushik
    BIOMATERIALS SCIENCE, 2024, 12 (04) : 978 - 989
  • [32] Integrated Degradome and Srna Sequencing Revealed miRNA-mRNA Regulatory Networks between the Phloem and Developing Xylem of Poplar
    Ding, Changjun
    Shen, Tengfei
    Ran, Na
    Zhang, Heng
    Pan, Huixin
    Su, Xiaohua
    Xu, Meng
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (09)
  • [33] Cancer-Associated circRNA-miRNA-mRNA Regulatory Networks: A Meta-Analysis
    Khan, Shaheerah
    Jha, Atimukta
    Panda, Amaresh C.
    Dixit, Anshuman
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 8
  • [34] Integrative miRNA-mRNA functional analysis identifies miR-182 as a potential prognostic biomarker in breast cancer
    Murugesan, Manikandan
    Premkumar, Kumpati
    MOLECULAR OMICS, 2021, 17 (04) : 533 - 543
  • [35] Identifying dysfunctional miRNA-mRNA regulatory modules by inverse activation, cofunction, and high interconnection of target genes: A case study of glioblastoma
    Xiao, Yun
    Ping, Yanyan
    Fan, Huihui
    Xu, Chaohan
    Guan, Jinxia
    Zhao, Hongying
    Li, Yiqun
    Lv, Yanling
    Jin, Yan
    Wang, Lihua
    Li, Xia
    NEURO-ONCOLOGY, 2013, 15 (07) : 818 - 828
  • [36] Construction of the miRNA-mRNA regulatory networks for both the cartilage formation and remodel zones in the antler tip in sika deer (Cervus nippon)
    Wang, Ke
    Zhao, Ye
    Cong, Lele
    Sun, Hongyan
    Ba, Hengxing
    Li, Chunyi
    Wang, Yimin
    Cong, Xianling
    ANIMAL PRODUCTION SCIENCE, 2022, 62 (16) : 1563 - 1572
  • [37] The assembly of miRNA-mRNA-protein regulatory networks using high-throughput expression data
    Chu, Tianjiao
    Mouillet, Jean-Francois
    Hood, Brian L.
    Conrads, Thomas P.
    Sadovsky, Yoel
    BIOINFORMATICS, 2015, 31 (11) : 1780 - 1787
  • [38] Heterogeneous miRNA-mRNA Regulatory Networks of Visceral and Subcutaneous Adipose Tissue in the Relationship Between Obesity and Renal Clear Cell Carcinoma
    Liu, Yuyan
    Liu, Yang
    Hu, Jiajin
    He, Zhenwei
    Liu, Lei
    Ma, Yanan
    Wen, Deliang
    FRONTIERS IN ENDOCRINOLOGY, 2021, 12
  • [39] Constructing higher-order miRNA-mRNA interaction networks in prostate cancer via hypergraph-based learning
    Kim, Soo-Jin
    Ha, Jung-Woo
    Zhang, Byoung-Tak
    BMC SYSTEMS BIOLOGY, 2013, 7
  • [40] Cancer Biomarker Discovery from Gene Co-expression Networks Using Community Detection Methods
    Tanvir, Raihanul Bari
    Mondal, Ananda Mohan
    2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2019, : 2097 - 2104