Hemostasis Branch, Division of Plasma Protein Therapeutics, Office of Tissues and Advanced Therapies, Center for Biologics Evaluation & Research, US FDA, Silver Spring, Maryland.
Department of Statistics, University of Connecticut, Storrs, Connecticut.
Mol Genet Genomic Med. 2019 Aug;7(8):e840. doi: 10.1002/mgg3.840. Epub 2019 Jun 30.
Pre-mRNA splicing is a complex process requiring the identification of donor site, acceptor site, and branch point site with an adjacent polypyrimidine tract sequence. Splicing is regulated by splicing regulatory elements (SREs) with both enhancer and suppressor functions. Variants located in exonic regions can impact splicing through dysregulation of native splice sites, SREs, and cryptic splice site activation. While splicing dysregulation is considered primary disease-inducing mechanism of synonymous variants, its contribution toward disease phenotype of non-synonymous variants is underappreciated.
In this study, we analyzed 415 disease-causing and 120 neutral F9 exonic point variants including both synonymous and non-synonymous for their effect on splicing using a series of in silico splice site prediction tools, SRE prediction tools, and in vitro minigene assays.
The use of splice site and SRE prediction tools in tandem provided better prediction but were not always in agreement with the minigene assays. The net effect of splicing dysregulation caused by variants was context dependent. Minigene assays revealed that perturbed splicing can be found.
Synonymous variants primarily cause disease phenotype via splicing dysregulation while additional mechanisms such as translation rate also play an important role. Splicing dysregulation is likely to contribute to the disease phenotype of several non-synonymous variants.
前体 mRNA 剪接是一个复杂的过程,需要识别供体位点、受体位点和分支点,以及相邻的多嘧啶序列。剪接受剪接调控元件(SREs)的调节,具有增强子和抑制子的功能。位于外显子区域的变体可以通过调节天然剪接位点、SREs 和隐匿剪接位点的激活来影响剪接。虽然剪接失调被认为是同义变体引起疾病的主要机制,但它对非同义变体疾病表型的贡献尚未得到充分认识。
在这项研究中,我们分析了 415 个致病和 120 个中性 F9 外显子点变体,包括同义变体和非同义变体,使用一系列基于计算机的剪接位点预测工具、SRE 预测工具和体外迷你基因测定来研究它们对剪接的影响。
剪接位点和 SRE 预测工具的联合使用提供了更好的预测,但并不总是与迷你基因测定一致。变体引起的剪接失调的净效应取决于上下文。迷你基因测定显示,存在剪接受到干扰的情况。
同义变体主要通过剪接失调引起疾病表型,而其他机制,如翻译速率,也起着重要作用。剪接失调可能导致几个非同义变体的疾病表型。