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Predicting in vivo binding sites of RNA-binding proteins using mRNA secondary structure

机译:使用mRNA二级结构预测RNA结合蛋白的体内结合位点

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摘要

While many RNA-binding proteins (RBPs) bind RNA in a sequence-specific manner, their sequence preferences alone do not distinguish known target RNAs from other potential targets that are coexpressed and contain the same sequence motifs. Recently, the mRNA targets of dozens of RNA-binding proteins have been identified, facilitating a systematic study of the features of target transcripts. Using these data, we demonstrate that calculating the predicted structural accessibility of a putative RBP binding site allows one to significantly improve the accuracy of predicting in vivo binding for the majority of sequence-specific RBPs. In our new in silico approach, accessibility is predicted based solely on the mRNA sequence without consideration of the locations of bound trans-factors; as such, our results suggest a greater than previously anticipated role for intrinsic mRNA secondary structure in determining RBP binding target preference. Target site accessibility aids in predicting target transcripts and the binding sites for RBPs with a range of RNA-binding domains and subcellular functions. Based on this work, we introduce a new motif-finding algorithm that identifies accessible sequence-specific RBP motifs from in vivo binding data.
机译:尽管许多RNA结合蛋白(RBP)以序列特异性的方式结合RNA,但它们的序列偏好本身并不能将已知的靶RNA与其他潜在的靶标(共表达并包含相同的序列基序)区分开。最近,已鉴定出数十种RNA结合蛋白的mRNA靶标,从而有助于系统地研究靶标转录本的特征。使用这些数据,我们证明了计算推定的RBP结合位点的预测结构可及性使一个人能够显着提高大多数序列特异性RBP预测体内结合的准确性。在我们的新的计算机模拟方法中,可访问性仅基于mRNA序列进行预测,而无需考虑结合的反式因子的位置。这样,我们的结果表明,固有的mRNA二级结构在确定RBP结合靶标偏好中的作用要比以前预期的要强。靶位点可及性有助于预测RBP的靶转录本和结合位点,并具有一系列RNA结合域和亚细胞功能。基于这项工作,我们引入了一种新的基序发现算法,该算法可从体内结合数据中识别出可访问的序列特异性RBP基序。

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