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RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets

机译:RIP芯片分析支持以往的不同角色2和GW182蛋白在招募和处理MicroRNA目标中

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MicroRNAs (miRNAs) are small non-coding RNA molecules mediating the translational repression and degradation of target mRNAs in the cell. Mature miRNAs are used as a template by the RNA-induced silencing complex (RISC) to recognize the complementary mRNAs to be regulated. To discern further RISC functions, we analyzed the activities of two RISC proteins, AGO2 and GW182, in the MCF-7 human breast cancer cell line. We performed three RIP-Chip experiments using either anti-AGO2 or anti-GW182 antibodies and compiled a data set made up of the miRNA and mRNA expression profiles of three samples for each experiment. Specifically, we analyzed the input sample, the immunoprecipitated fraction and the unbound sample resulting from the RIP experiment. We used the expression profile of the input sample to compute several variables, using formulae capable of integrating the information on miRNA binding sites, both in the 3'UTR and coding regions, with miRNA and mRNA expression level profiles. We compared immunoprecipitated vs unbound samples to determine the enriched or underrepresented genes in the immunoprecipitated fractions, independently for AGO2 and GW182 related samples. For each of the two proteins, we trained and tested several support vector machine algorithms capable of distinguishing the enriched from the underrepresented genes that were experimentally detected. The most efficient algorithm for distinguishing the enriched genes in AGO2 immunoprecipitated samples was trained by using variables involving the number of binding sites in both the 3'UTR and coding region, integrated with the miRNA expression profile, as expected for miRNA targets. On the other hand, we found that the best variable for distinguishing the enriched genes in the GW182 immunoprecipitated samples was the length of the coding region. Due to the major role of GW182 in GW/P-bodies, our data suggests that the AGO2-GW182 RISC recruits genes based on miRNA binding sites in the 3'UTR and coding region, but only the longer mRNAs probably remain sequestered in GW/P-bodies, functioning as a repository for translationally silenced RNAs.
机译:MicroRNAs(miRNA)是小型非编码RNA分子,介导平移抑制和细胞中靶mRNA的降解。通过RNA诱导的沉默复合物(RISC)用作模板的成熟miRNA以识别互补的MRNA被调节。为了进一步辨别RISC功能,我们在MCF-7人乳腺癌细胞系中分析了两种RISC蛋白的活动,往返2和G182。我们使用抗Apher2或抗GW182抗体进行了三个裂纹芯片实验,并编制了由三个样品的miRNA和mRNA表达谱组成的数据集,为每个实验组成。具体地,我们分析了输入样品,免疫沉淀部分和由RIP实验产生的未结合样品。我们使用输入样本的表达谱来计算多种变量,使用能够将关于MiRNA结合位点的信息集成在3'URR和编码区域中,具有miRNA和mRNA表达水平谱。我们将免疫沉淀的VS未结合样品进行比较,以确定免疫沉淀的级分中富集或不足的基因,以往为前2和GW182相关样品。对于两种蛋白质中的每一个,我们培训并测试了几种支持向量机算法,其能够区分富含实验检测的代表性基因的富集。以前所未有的富集基因区分富集基因的最有效算法通过使用涉及3'UTR和编码区域中的结合位点的变量来训练,与miRNA表达谱集成,与miRNA靶标的预期相结合。另一方面,我们发现将富集基因区分在GW182免疫沉淀样品中的最佳变量是编码区的长度。由于GW182在GW / P-BODIE中的主要作用,我们的数据表明,前3'UTR和编码区的MIRNA结合位点,但只有较长的MRNA可能在GW / p-moveries,运用作为翻译沉默的RNA的存储库。

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