Department of Biology, MIT, Cambridge, MA, USA.
Program in Computational and Systems Biology, MIT, Cambridge, MA, USA.
Mol Cell. 2018 Jun 7;70(5):854-867.e9. doi: 10.1016/j.molcel.2018.05.001.
RNA binding proteins (RBPs) orchestrate the production, processing, and function of mRNAs. Here, we present the affinity landscapes of 78 human RBPs using an unbiased assay that determines the sequence, structure, and context preferences of these proteins in vitro by deep sequencing of bound RNAs. These data enable construction of "RNA maps" of RBP activity without requiring crosslinking-based assays. We found an unexpectedly low diversity of RNA motifs, implying frequent convergence of binding specificity toward a relatively small set of RNA motifs, many with low compositional complexity. Offsetting this trend, however, we observed extensive preferences for contextual features distinct from short linear RNA motifs, including spaced "bipartite" motifs, biased flanking nucleotide composition, and bias away from or toward RNA structure. Our results emphasize the importance of contextual features in RNA recognition, which likely enable targeting of distinct subsets of transcripts by different RBPs that recognize the same linear motif.
RNA 结合蛋白 (RBPs) 协调着 mRNA 的产生、加工和功能。在这里,我们使用一种无偏的测定方法来展示 78 个人类 RBP 的亲和力图谱,该方法通过对结合 RNA 的深度测序来确定这些蛋白质在体外的序列、结构和上下文偏好。这些数据使得无需交联测定即可构建 RBP 活性的“RNA 图谱”。我们发现 RNA 基序的多样性出乎意料地低,这意味着结合特异性朝着相对较小的 RNA 基序集趋同的频率很高,其中许多基序的组成复杂度较低。然而,与短线性 RNA 基序相反,我们观察到了对上下文特征的广泛偏好,包括间隔的“二分体”基序、偏向侧翼核苷酸组成以及偏向远离或朝向 RNA 结构。我们的结果强调了 RNA 识别中上下文特征的重要性,这可能使不同的 RBPs 能够靶向识别相同线性基序的不同转录本子集。