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

Mireia Mato Prado, Adam E Frampton, Elisa Giovannetti, Justin Stebbing, Leandro Castellano, Jonathan Krell
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Abstract

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.

利用交联免疫沉淀方法研究 miRNA-mRNA 调控网络,以发现癌症中的生物标记物和靶点。
引言微小RNA(miRNA)是在转录后水平调控基因表达的小型非编码RNA。最近,人们开发了不同的实验方法,如 RNA 测序、交联免疫沉淀(CLIP)方法及其变体,以及计算方法,以阐明 miRNA-mRNA 靶标组。涵盖领域:本报告重点比较了不同的实验和计算方法,介绍了它们的优缺点,并提供了几个临床前(体外和体内)和临床研究的实例,这些研究确定了乳腺、卵巢、结直肠和胰腺等不同类型肿瘤中的 miRNA 靶基因。专家评论:将 CLIP 方法与生物信息学分析相结合,对于更好地预测 miRNA-mRNA 相互作用以及在广泛的调控网络中关联其特定通路至关重要。然而,还需要进一步的研究来克服这些方法存在的困难,以便找到一种金标准方法,不带任何偏差地识别 miRNA 与其靶 mRNA 之间的调控关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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