Azbukina Nadezhda, Zharikova Anastasia, Ramensky Vasily
Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, 1-73, Leninskie Gory, 119991 Moscow, Russia.
National Medical Research Center for Therapy and Preventive Medicine, Petroverigsky per., 10, Bld.3, 101000 Moscow, Russia.
Biophys Rev. 2022 Oct 26;14(5):1161-1182. doi: 10.1007/s12551-022-01005-w. eCollection 2022 Oct.
A significant fraction of mutations in proteins are deleterious and result in adverse consequences for protein function, stability, or interaction with other molecules. Intragenic compensation is a specific case of positive epistasis when a neutral missense mutation cancels effect of a deleterious mutation in the same protein. Permissive compensatory mutations facilitate protein evolution, since without them all sequences would be extremely conserved. Understanding compensatory mechanisms is an important scientific challenge at the intersection of protein biophysics and evolution. In human genetics, intragenic compensatory interactions are important since they may result in variable penetrance of pathogenic mutations or fixation of pathogenic human alleles in orthologous proteins from related species. The latter phenomenon complicates computational and clinical inference of an allele's pathogenicity. Deep mutational scanning is a relatively new technique that enables experimental studies of functional effects of thousands of mutations in proteins. We review the important aspects of the field and discuss existing limitations of current datasets. We reviewed ten published DMS datasets with quantified functional effects of single and double mutations and described rates and patterns of intragenic compensation in eight of them.
The online version contains supplementary material available at 10.1007/s12551-022-01005-w.
蛋白质中的很大一部分突变是有害的,会对蛋白质功能、稳定性或与其他分子的相互作用产生不利影响。基因内补偿是正向上位性的一种特殊情况,即中性错义突变抵消了同一蛋白质中有害突变的影响。允许性补偿突变促进了蛋白质进化,因为没有它们,所有序列都会极度保守。理解补偿机制是蛋白质生物物理学与进化交叉领域的一项重要科学挑战。在人类遗传学中,基因内补偿相互作用很重要,因为它们可能导致致病突变的可变外显率,或相关物种直系同源蛋白质中致病人类等位基因的固定。后一种现象使等位基因致病性的计算和临床推断变得复杂。深度突变扫描是一种相对较新的技术,能够对蛋白质中数千个突变的功能效应进行实验研究。我们综述了该领域的重要方面,并讨论了当前数据集的现有局限性。我们回顾了十个已发表的具有单突变和双突变定量功能效应的深度突变扫描数据集,并描述了其中八个数据集中基因内补偿的发生率和模式。
在线版本包含可在10.1007/s12551-022-01005-w获取的补充材料。