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从分离的AGO蛋白复合物中鉴定人类微小RNA靶标。

Identification of human microRNA targets from isolated argonaute protein complexes.

作者信息

Beitzinger Michaela, Peters Lasse, Zhu Jia Yun, Kremmer Elisabeth, Meister Gunter

机构信息

Laboratory of RNA Biology, Max Planck Institute of Biochemistry, Martinsried, Germany.

出版信息

RNA Biol. 2007 Jun;4(2):76-84. doi: 10.4161/rna.4.2.4640. Epub 2007 Jun 28.

Abstract

MicroRNAs (miRNAs) constitute a class of small non-coding RNAs that regulate gene expression on the level of translation and/or mRNA stability. Mammalian miRNAs associate with members of the Argonaute (Ago) protein family and bind to partially complementary sequences in the 3' untranslated region (UTR) of specific target mRNAs. Computer algorithms based on factors such as free binding energy or sequence conservation have been used to predict miRNA target mRNAs. Based on such predictions, up to one third of all mammalian mRNAs seem to be under miRNA regulation. However, due to the low degree of complementarity between the miRNA and its target, such computer programs are often imprecise and therefore not very reliable. Here we report the first biochemical identification approach of miRNA targets from human cells. Using highly specific monoclonal antibodies against members of the Ago protein family, we co-immunoprecipitate Ago-bound mRNAs and identify them by cloning. Interestingly, most of the identified targets are also predicted by different computer programs. Moreover, we randomly analyzed six different target candidates and were able to experimentally validate five as miRNA targets. Our data clearly indicate that miRNA targets can be experimentally identified from Ago complexes and therefore provide a new tool to directly analyze miRNA function.

摘要

微小RNA(miRNA)是一类小的非编码RNA,它们在翻译水平和/或mRNA稳定性层面调控基因表达。哺乳动物的miRNA与AGO(精氨酸)蛋白家族成员相结合,并与特定靶标mRNA的3'非翻译区(UTR)中的部分互补序列相结合。基于诸如自由结合能或序列保守性等因素的计算机算法已被用于预测miRNA靶标mRNA。基于此类预测,所有哺乳动物mRNA中似乎多达三分之一受到miRNA的调控。然而,由于miRNA与其靶标之间的互补程度较低,此类计算机程序往往并不精确,因此不太可靠。在此,我们报告了从人类细胞中首次进行miRNA靶标的生化鉴定方法。利用针对AGO蛋白家族成员的高度特异性单克隆抗体,我们通过共免疫沉淀法分离出与AGO结合的mRNA,并通过克隆对其进行鉴定。有趣的是,大多数已鉴定的靶标也被不同的计算机程序预测到。此外,我们随机分析了六个不同的候选靶标,并通过实验验证了其中五个是miRNA靶标。我们的数据清楚地表明,可以从AGO复合物中通过实验鉴定出miRNA靶标,因此为直接分析miRNA功能提供了一种新工具。

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