Tan Jiazi, Ho Jia Xin Jessie, Zhong Zhensheng, Luo Shufang, Chen Gang, Roca Xavier
School of Biological Sciences, Nanyang Technological University, 637551, Singapore.
Division of Chemistry & Biological Chemistry, School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore.
Nucleic Acids Res. 2016 May 5;44(8):3908-21. doi: 10.1093/nar/gkw163. Epub 2016 Mar 11.
Accurate recognition of splice sites is essential for pre-messenger RNA splicing. Mammalian 5' splice sites are mainly recognized by canonical base-pairing to the 5' end of U1 small nuclear RNA, yet we described multiple noncanonical base-pairing registers by shifting base-pair positions or allowing one-nucleotide bulges. By systematic mutational and suppressor U1 analyses, we prove three registers involving asymmetric loops and show that two-nucleotide bulges but not longer can form in this context. Importantly, we established that a noncanonical uridine-pseudouridine interaction in the 5' splice site/U1 helix contributes to the recognition of certain 5' splice sites. Thermal melting experiments support the formation of noncanonical registers and uridine-pseudouridine interactions. Overall, we experimentally validated or discarded the majority of predicted noncanonical registers, to derive a list of 5' splice sites using such alternative mechanisms that is much different from the original. This study allows not only the mechanistic understanding of the recognition of a wide diversity of mammalian 5' splice sites, but also the future development of better splice-site scoring methods that reliably predict the effects of disease-causing mutations at these sequences.
准确识别剪接位点对于前体信使RNA剪接至关重要。哺乳动物的5'剪接位点主要通过与U1小核RNA的5'末端进行经典碱基配对来识别,但我们通过移动碱基对位置或允许单核苷酸凸起描述了多种非经典碱基配对模式。通过系统的突变和抑制性U1分析,我们证实了三种涉及不对称环的模式,并表明在这种情况下可以形成两核苷酸凸起,但不能更长。重要的是,我们确定了5'剪接位点/U1螺旋中的一种非经典尿苷-假尿苷相互作用有助于识别某些5'剪接位点。热变性实验支持非经典模式和尿苷-假尿苷相互作用的形成。总体而言,我们通过实验验证或排除了大多数预测的非经典模式,从而得出一份使用此类替代机制的5'剪接位点列表,该列表与原始列表有很大不同。这项研究不仅有助于从机制上理解多种哺乳动物5'剪接位点的识别,还为未来开发更好的剪接位点评分方法奠定了基础,这些方法能够可靠地预测致病突变对这些序列的影响。