Pacheco-García Juan Luis, Cano-Muñoz Mario, Sánchez-Ramos Isabel, Salido Eduardo, Pey Angel L
Departamento de Química Física, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain.
Centre for Biomedical Research on Rare Diseases (CIBERER), Hospital Universitario de Canarias, 38320 Tenerife, Spain.
J Pers Med. 2020 Nov 3;10(4):207. doi: 10.3390/jpm10040207.
The functional and pathological implications of the enormous genetic diversity of the human genome are mostly unknown, primarily due to our unability to predict pathogenicity in a high-throughput manner. In this work, we characterized the phenotypic consequences of eight naturally-occurring missense variants on the multifunctional and disease-associated NQO1 protein using biophysical and structural analyses on several protein traits. Mutations found in both exome-sequencing initiatives and in cancer cell lines cause mild to catastrophic effects on NQO1 stability and function. Importantly, some mutations perturb functional features located structurally far from the mutated site. These effects are well rationalized by considering the nature of the mutation, its location in protein structure and the local stability of its environment. Using a set of 22 experimentally characterized mutations in NQO1, we generated experimental scores for pathogenicity that correlate reasonably well with bioinformatic scores derived from a set of commonly used algorithms, although the latter fail to semiquantitatively predict the phenotypic alterations caused by a significant fraction of mutations individually. These results provide insight into the propagation of mutational effects on multifunctional proteins, the implementation of approaches for establishing genotype-phenotype correlations and the molecular determinants underlying loss-of-function in genetic diseases.
人类基因组巨大的遗传多样性所具有的功能和病理学意义大多未知,主要是因为我们无法以高通量方式预测致病性。在这项研究中,我们通过对几种蛋白质特性进行生物物理和结构分析,表征了八个自然发生的错义变体对多功能且与疾病相关的NQO1蛋白的表型影响。在全外显子组测序计划和癌细胞系中发现的突变对NQO1的稳定性和功能产生了从轻度到灾难性的影响。重要的是,一些突变扰乱了在结构上远离突变位点的功能特征。通过考虑突变的性质、其在蛋白质结构中的位置及其环境的局部稳定性,可以很好地解释这些影响。利用一组22个经实验表征的NQO1突变,我们生成了致病性实验评分,这些评分与从一组常用算法得出的生物信息学评分具有合理的良好相关性,尽管后者无法半定量地单独预测相当一部分突变所引起的表型改变。这些结果为深入了解突变对多功能蛋白质的影响传播、建立基因型-表型相关性的方法实施以及遗传疾病中功能丧失的分子决定因素提供了依据。