Alkan Ferhat, Wenzel Anne, Palasca Oana, Kerpedjiev Peter, Rudebeck Anders Frost, Stadler Peter F, Hofacker Ivo L, Gorodkin Jan
Center for non-coding RNA in Technology and Health, University of Copenhagen, Grønnegårdsvej 3, 1870 Frederiksberg C, Denmark.
Department of Veterinary Clinical and Animal Science, University of Copenhagen, Grønnegårdsvej 3, 1870 Frederiksberg C, Denmark.
Nucleic Acids Res. 2017 May 5;45(8):e60. doi: 10.1093/nar/gkw1325.
Intermolecular interactions of ncRNAs are at the core of gene regulation events, and identifying the full map of these interactions bears crucial importance for ncRNA functional studies. It is known that RNA-RNA interactions are built up by complementary base pairings between interacting RNAs and high level of complementarity between two RNA sequences is a powerful predictor of such interactions. Here, we present RIsearch2, a large-scale RNA-RNA interaction prediction tool that enables quick localization of potential near-complementary RNA-RNA interactions between given query and target sequences. In contrast to previous heuristics which either search for exact matches while including G-U wobble pairs or employ simplified energy models, we present a novel approach using a single integrated seed-and-extend framework based on suffix arrays. RIsearch2 enables fast discovery of candidate RNA-RNA interactions on genome/transcriptome-wide scale. We furthermore present an siRNA off-target discovery pipeline that not only predicts the off-target transcripts but also computes the off-targeting potential of a given siRNA. This is achieved by combining genome-wide RIsearch2 predictions with target site accessibilities and transcript abundance estimates. We show that this pipeline accurately predicts siRNA off-target interactions and enables off-targeting potential comparisons between different siRNA designs. RIsearch2 and the siRNA off-target discovery pipeline are available as stand-alone software packages from http://rth.dk/resources/risearch.
非编码RNA(ncRNA)的分子间相互作用是基因调控事件的核心,确定这些相互作用的完整图谱对于ncRNA功能研究至关重要。已知RNA-RNA相互作用是由相互作用的RNA之间的互补碱基配对构建而成的,两个RNA序列之间的高度互补性是此类相互作用的有力预测指标。在此,我们介绍RIsearch2,这是一种大规模RNA-RNA相互作用预测工具,能够快速定位给定查询序列与靶序列之间潜在的近互补RNA-RNA相互作用。与之前的启发式方法不同,之前的方法要么在包含G-U摆动配对的情况下搜索精确匹配,要么采用简化的能量模型,我们提出了一种基于后缀数组的新颖的单集成种子扩展框架方法。RIsearch2能够在全基因组/转录组范围内快速发现候选RNA-RNA相互作用。我们还提出了一种小干扰RNA(siRNA)脱靶发现流程,该流程不仅可以预测脱靶转录本,还能计算给定siRNA的脱靶潜力。这是通过将全基因组范围的RIsearch2预测与靶位点可及性和转录本丰度估计相结合来实现的。我们表明,该流程能够准确预测siRNA脱靶相互作用,并能够对不同siRNA设计的脱靶潜力进行比较。RIsearch2和siRNA脱靶发现流程可作为独立软件包从http://rth.dk/resources/risearch获取。