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利用高通量微小RNA筛选发现癌症易感性

Discovering cancer vulnerabilities using high-throughput micro-RNA screening.

作者信息

Nikolic Iva, Elsworth Benjamin, Dodson Eoin, Wu Sunny Z, Gould Cathryn M, Mestdagh Pieter, Marshall Glenn M, Horvath Lisa G, Simpson Kaylene J, Swarbrick Alexander

机构信息

The Kinghorn Cancer Centre & Cancer Research Division, Garvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.

St Vincent's Clinical School, Faculty of Medicine, UNSW, Darlinghurst, NSW 2010, Australia.

出版信息

Nucleic Acids Res. 2017 Dec 15;45(22):12657-12670. doi: 10.1093/nar/gkx1072.

Abstract

Micro-RNAs (miRNAs) are potent regulators of gene expression and cellular phenotype. Each miRNA has the potential to target hundreds of transcripts within the cell thus controlling fundamental cellular processes such as survival and proliferation. Here, we exploit this important feature of miRNA networks to discover vulnerabilities in cancer phenotype, and map miRNA-target relationships across different cancer types. More specifically, we report the results of a functional genomics screen of 1280 miRNA mimics and inhibitors in eight cancer cell lines, and its presentation in a sophisticated interactive data portal. This resource represents the most comprehensive survey of miRNA function in oncology, incorporating breast cancer, prostate cancer and neuroblastoma. A user-friendly web portal couples this experimental data with multiple tools for miRNA target prediction, pathway enrichment analysis and visualization. In addition, the database integrates publicly available gene expression and perturbation data enabling tailored and context-specific analysis of miRNA function in a particular disease. As a proof-of-principle, we use the database and its innovative features to uncover novel determinants of the neuroblastoma malignant phenotype.

摘要

微小RNA(miRNA)是基因表达和细胞表型的有力调节因子。每个miRNA都有可能靶向细胞内数百种转录本,从而控制诸如存活和增殖等基本细胞过程。在此,我们利用miRNA网络的这一重要特征来发现癌症表型中的脆弱点,并绘制不同癌症类型间的miRNA-靶标关系图谱。更具体地说,我们报告了在八种癌细胞系中对1280种miRNA模拟物和抑制剂进行功能基因组筛选的结果,以及在一个复杂的交互式数据门户中的展示情况。该资源代表了对肿瘤学中miRNA功能最全面的调查,涵盖了乳腺癌、前列腺癌和神经母细胞瘤。一个用户友好的网络门户将这些实验数据与多种用于miRNA靶标预测、通路富集分析和可视化的工具相结合。此外,该数据库整合了公开可用的基因表达和干扰数据,能够针对特定疾病对miRNA功能进行定制化和背景特异性分析。作为原理验证,我们利用该数据库及其创新功能来揭示神经母细胞瘤恶性表型的新决定因素。

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