Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Pkwy, Las Vegas, NV 89154, USA.
School of Life Sciences, University of Nevada, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA.
Biomolecules. 2023 Feb 12;13(2):355. doi: 10.3390/biom13020355.
All proteins have a carboxyl terminus, and we previously summarized eight mutations in binding and trafficking sequence determinants in the C-terminus that, when disrupted, cause human diseases. These sequence elements for binding and trafficking sites, as well as post-translational modifications (PTMs), are called minimotifs or short linear motifs. We wanted to determine how frequently mutations in minimotifs in the C-terminus cause disease. We searched specifically for PTMs because mutation of a modified amino acid almost always changes the chemistry of the side chain and can be interpreted as loss-of-function. We analyzed data from ClinVar for disease variants, Minimotif Miner and the C-terminome for PTMs, and RefSeq for protein sequences, yielding 20 such potential disease-causing variants. After additional screening, they include six with a previously reported PTM disruption mechanism and nine with new hypotheses for mutated minimotifs in C-termini that may cause disease. These mutations were generally for different genes, with four different PTM types and several different diseases. Our study helps to identify new molecular mechanisms for nine separate variants that cause disease, and this type of analysis could be extended as databases grow and to binding and trafficking motifs. We conclude that mutated motifs in C-termini are an infrequent cause of disease.
所有蛋白质都有一个羧基末端,我们之前总结了在 C 末端结合和运输序列决定因素中的 8 个突变,这些突变如果被破坏,会导致人类疾病。这些结合和运输位点以及翻译后修饰(PTM)的序列元件称为最小基序或短线性基序。我们想确定 C 末端最小基序中的突变导致疾病的频率。我们专门搜索 PTM,因为修饰氨基酸的突变几乎总是改变侧链的化学性质,可以被解释为功能丧失。我们分析了 ClinVar 中的疾病变异、Minimotif Miner 和 C 端组学中的 PTM 以及 RefSeq 中的蛋白质序列,得到了 20 个这样的潜在致病变异。经过进一步筛选,其中包括 6 个具有先前报道的 PTM 破坏机制的变异,以及 9 个具有新假设的 C 末端突变最小基序的变异,这些突变可能导致疾病。这些突变通常针对不同的基因,涉及 4 种不同的 PTM 类型和几种不同的疾病。我们的研究有助于确定导致疾病的 9 个不同变体的新分子机制,并且随着数据库的增长以及结合和运输基序的扩展,这种类型的分析可以扩展。我们得出的结论是,C 末端的突变基序很少是疾病的原因。