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Protein-RNA specificity by high-throughput principal component analysis of NMR spectra

机译:通过NMR谱的高通量主成分分析确定蛋白质RNA的特异性

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Defining the RNA target selectivity of the proteins regulating mRNA metabolism is a key issue in RNA biology. Here we present a novel use of principal component analysis (PCA) to extract the RNA sequence preference of RNA binding proteins. We show that PCA can be used to compare the changes in the nuclear magnetic resonance (NMR) spectrum of a protein upon binding a set of quasi-degenerate RNAs and define the nucleobase specificity. We couple this application of PCA to an automated NMR spectra recording and processing protocol and obtain an unbiased and high-throughput NMR method for the analysis of nucleobase preference in protein-RNA interactions. We test the method on the RNA binding domains of three important regulators of RNA metabolism.
机译:定义调节mRNA代谢的蛋白质的RNA靶标选择性是RNA生物学中的关键问题。在这里,我们介绍了一种新颖的使用主成分分析(PCA)提取RNA结合蛋白的RNA序列偏好的方法。我们显示PCA可用于在结合一组准简并的RNA并比较核碱基特异性后,比较蛋白质的核磁共振(NMR)谱变化。我们将PCA的这种应用耦合到自动NMR光谱记录和处理协议,并获得了用于分析蛋白质-RNA相互作用中核碱基偏爱的无偏和高通量NMR方法。我们在三个重要的RNA代谢调节因子的RNA结合域上测试该方法。

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