Department of Computational Biology, Faculty of Frontier Science, The University of Tokyo, Chiba 277-8561, Japan.
Bioinformatics. 2011 Jul 1;27(13):1788-97. doi: 10.1093/bioinformatics/btr276. Epub 2011 Apr 29.
The importance of RNA sequence analysis has been increasing since the discovery of various types of non-coding RNAs transcribed in animal cells. Conventional RNA sequence analyses have mainly focused on structured regions, which are stabilized by the stacking energies acting on adjacent base pairs. On the other hand, recent findings regarding the mechanisms of small interfering RNAs (siRNAs) and transcription regulation by microRNAs (miRNAs) indicate the importance of analyzing accessible regions where no base pairs exist. So far, relatively few studies have investigated the nature of such regions.
We have conducted a detailed investigation of accessibilities around the target sites of siRNAs and miRNAs. We have exhaustively calculated the correlations between the accessibilities around the target sites and the repression levels of the corresponding mRNAs. We have computed the accessibilities with an originally developed software package, called 'Raccess', which computes the accessibility of all the segments of a fixed length for a given RNA sequence when the maximal distance between base pairs is limited to a fixed size W. We show that the computed accessibilities are relatively insensitive to the choice of the maximal span W. We have found that the efficacy of siRNAs depends strongly on the accessibility of the very 3'-end of their binding sites, which might reflect a target site recognition mechanism in the RNA-induced silencing complex. We also show that the efficacy of miRNAs has a similar dependence on the accessibilities, but some miRNAs also show positive correlations between the efficacy and the accessibilities in broad regions downstream of their putative binding sites, which might imply that the downstream regions of the target sites are bound by other proteins that allow the miRNAs to implement their functions. We have also investigated the off-target effects of an siRNA as a potential RNAi therapeutic. We show that the off-target effects of the siRNA have similar correlations to the miRNA repression, indicating that they are caused by the same mechanism.
The C++ source code of the Raccess software is available at http://www.ncrna.org/software/Raccess/ The microarray data on the measurements of the siRNA off-target effects are also available at the same site.
自从在动物细胞中转录发现各种类型的非编码 RNA 以来,RNA 序列分析的重要性一直在增加。传统的 RNA 序列分析主要集中在结构区域,这些区域由作用于相邻碱基对的堆积能稳定。另一方面,关于小干扰 RNA (siRNA) 的作用机制和 miRNA 转录调控的最新发现表明,分析不存在碱基对的可及区域的重要性。到目前为止,相对较少的研究调查了这些区域的性质。
我们对 siRNA 和 miRNA 靶位点周围的可及性进行了详细研究。我们详尽地计算了靶位点周围的可及性与相应 mRNA 抑制水平之间的相关性。我们使用一个名为“Raccess”的原创软件包计算了可及性,该软件包在碱基对之间的最大距离限制为固定大小 W 的情况下,计算给定 RNA 序列所有固定长度片段的可及性。我们表明,计算出的可及性对最大跨度 W 的选择相对不敏感。我们发现,siRNA 的功效强烈依赖于其结合位点的非常 3'末端的可及性,这可能反映了 RNA 诱导沉默复合物中的靶位点识别机制。我们还表明,miRNA 的功效也与可及性具有相似的依赖性,但某些 miRNA 在其假定结合位点的下游宽区域也显示出功效和可及性之间的正相关,这可能意味着靶位点下游区域被其他允许 miRNA 发挥作用的蛋白质结合。我们还研究了 siRNA 的脱靶效应作为一种潜在的 RNAi 治疗方法。我们表明,siRNA 的脱靶效应与 miRNA 抑制具有相似的相关性,表明它们是由相同的机制引起的。
Raccess 软件的 C++源代码可在 http://www.ncrna.org/software/Raccess/ 获得。关于 siRNA 脱靶效应测量的微阵列数据也可在同一网站获得。