Leonardi Emanuela, Sartori Stefano, Vecchi Marilena, Bettella Elisa, Polli Roberta, Palma Luca De, Boniver Clementina, Murgia Alessandra
Molecular Genetics of Neurodevelopment, Department of Women's and Children's Health, University of Padua, Padua, Italy.
Pediatric Neurology Unit, Department of Women's and Children's Health, University of Padua, Padua, Italy.
Ann Hum Genet. 2014 Nov;78(6):389-98. doi: 10.1111/ahg.12082. Epub 2014 Sep 17.
The PCDH19 gene encodes protocadherin-19, a transmembrane protein with six cadherin (EC) domains, containing adhesive interfaces likely to be involved in neuronal connection. Over a hundred mostly private mutations have been identified in girls with epilepsy, with or without intellectual disability (ID). Furthermore, transmitting hemizygous males are devoid of seizures or ID, making it difficult to establish the pathogenic nature of newly identified variants. Here, we describe an integrated approach to evaluate the pathogenicity of four novel PCDH19 mutations. Segregation analysis has been complemented with an in silico analysis of mutation effects at the protein level. Using sequence information, we compared different computational prediction methods. We used homology modeling to build structural models of two PCDH19 EC-domains, and compared wild-type and mutant models to identify differences in residue interactions or biochemical properties of the model surfaces. Our analysis suggests different molecular effects of the novel mutations in exerting their pathogenic role. Two of them interfere with or alter functional residues predicted to mediate ligand or protein binding, one alters the EC-domain folding stability; the frame-shift mutation produces a truncated protein lacking the intracellular domain. Interestingly, the girl carrying the putative loss of function mutation presents the most severe phenotype.
PCDH19基因编码原钙黏蛋白-19,这是一种具有六个钙黏蛋白(EC)结构域的跨膜蛋白,含有可能参与神经元连接的黏附界面。在患有或未患有智力障碍(ID)的癫痫女孩中已鉴定出一百多种大多为私人突变。此外,传递性半合子男性没有癫痫发作或智力障碍,这使得难以确定新鉴定变体的致病性质。在此,我们描述了一种综合方法来评估四个新的PCDH19突变的致病性。分离分析已通过对蛋白质水平突变效应的计算机模拟分析得到补充。利用序列信息,我们比较了不同的计算预测方法。我们使用同源建模构建了两个PCDH19 EC结构域的结构模型,并比较了野生型和突变型模型,以识别模型表面残基相互作用或生化特性的差异。我们的分析表明,新突变在发挥其致病作用时具有不同的分子效应。其中两个干扰或改变了预测介导配体或蛋白质结合的功能残基,一个改变了EC结构域的折叠稳定性;移码突变产生了一个缺少细胞内结构域的截短蛋白。有趣的是,携带假定功能丧失突变的女孩表现出最严重的表型。