在果蝇中全局识别功能性 microRNA-mRNA 相互作用。
Global identification of functional microRNA-mRNA interactions in Drosophila.
机构信息
Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine, 13125, Berlin, Germany.
Department of Biology, Humboldt University, 10115, Berlin, Germany.
出版信息
Nat Commun. 2019 Apr 9;10(1):1626. doi: 10.1038/s41467-019-09586-z.
MicroRNAs (miRNAs) are key mediators of post-transcriptional gene expression silencing. So far, no comprehensive experimental annotation of functional miRNA target sites exists in Drosophila. Here, we generated a transcriptome-wide in vivo map of miRNA-mRNA interactions in Drosophila melanogaster, making use of single nucleotide resolution in Argonaute1 (AGO1) crosslinking and immunoprecipitation (CLIP) data. Absolute quantification of cellular miRNA levels presents the miRNA pool in Drosophila cell lines to be more diverse than previously reported. Benchmarking two CLIP approaches, we identify a similar predictive potential to unambiguously assign thousands of miRNA-mRNA pairs from AGO1 interaction data at unprecedented depth, achieving higher signal-to-noise ratios than with computational methods alone. Quantitative RNA-seq and sub-codon resolution ribosomal footprinting data upon AGO1 depletion enabled the determination of miRNA-mediated effects on target expression and translation. We thus provide the first comprehensive resource of miRNA target sites and their quantitative functional impact in Drosophila.
微小 RNA(miRNAs)是转录后基因表达沉默的关键调节因子。到目前为止,在果蝇中还没有功能 miRNA 靶位点的全面实验注释。在这里,我们利用 Argonaute1(AGO1)交联和免疫沉淀(CLIP)数据的单核苷酸分辨率,生成了果蝇体内 miRNA-mRNA 相互作用的全转录组图谱。绝对定量细胞内 miRNA 水平表明,果蝇细胞系中的 miRNA 库比以前报道的更加多样化。通过基准测试两种 CLIP 方法,我们发现,从 AGO1 相互作用数据中,以空前的深度准确地分配数千个 miRNA-mRNA 对的预测潜力相似,与仅使用计算方法相比,其信号与噪声的比值更高。AGO1 耗尽后的定量 RNA-seq 和亚密码子分辨率核糖体足迹数据使我们能够确定 miRNA 对靶基因表达和翻译的调控作用。因此,我们提供了果蝇中 miRNA 靶位点及其定量功能影响的首个全面资源。