Suppr超能文献

酵母模型中基因突变的致病效应。

Pathogenic Effect of Gene Mutations in a Yeast Model.

机构信息

Neuromuscular Unit, Mossakowski Medical Research Centre Polish Academy of Sciences, 02-106 Warsaw, Poland.

Institute of Biochemistry and Biophysics Polish Academy of Sciences, 02-106 Warsaw, Poland.

出版信息

Genes (Basel). 2020 Mar 14;11(3):310. doi: 10.3390/genes11030310.

Abstract

The question of whether a newly identified sequence variant is truly a causative mutation is a central problem of modern clinical genetics. In the current era of massive sequencing, there is an urgent need to develop new tools for assessing the pathogenic effect of new sequence variants. In Charcot-Marie-Tooth disorders (CMT) with their extreme genetic heterogeneity and relatively homogenous clinical presentation, addressing the pathogenic effect of rare sequence variants within 80 CMT genes is extremely challenging. The presence of multiple rare sequence variants within a single CMT-affected patient makes selection for the strongest one, the truly causative mutation, a challenging issue. In the present study we propose a new yeast-based model to evaluate the pathogenic effect of rare sequence variants found within the one of the CMT-associated genes, . In our approach, the wild-type and pathogenic variants of human gene were expressed in yeast. Then, a growth rate and mitochondrial morphology and function of -expressing strains were studied. Also, the mutant GDAP1 proteins localization and functionality were assessed in yeast. We have shown, that was not only stably expressed but also functional in yeast cell, as it influenced morphology and function of mitochondria and altered the growth of a mutant yeast strain. What is more, the various pathogenic sequence variants caused the specific for them effect in the tests we performed. Thus, the proposed model is suitable for validating the pathogenic effect of known mutations and may be used for testing of unknown sequence variants found in CMT patients.

摘要

新鉴定的序列变异是否确实是致病突变,这是现代临床遗传学的一个核心问题。在当前大规模测序的时代,迫切需要开发新的工具来评估新序列变异的致病效应。在遗传性周围神经病(CMT)中,由于其遗传异质性极高,临床表型相对单一,因此评估 80 个 CMT 基因内罕见序列变异的致病效应极具挑战性。在单个 CMT 患者中存在多种罕见的序列变异,因此选择最强的、真正的致病突变是一个具有挑战性的问题。在本研究中,我们提出了一种新的基于酵母的模型,用于评估 CMT 相关基因之一 中发现的罕见序列变异的致病效应。在我们的方法中,野生型和致病性人类 基因变体在酵母中表达。然后,研究了 -表达菌株的生长速度和线粒体形态和功能。此外,还评估了酵母中突变 GDAP1 蛋白的定位和功能。我们已经表明, 不仅在酵母细胞中稳定表达,而且具有功能,因为它影响线粒体的形态和功能,并改变了突变酵母菌株的生长。更重要的是,各种 致病性序列变异在我们进行的测试中引起了特定的效应。因此,所提出的模型适合验证已知 突变的致病效应,并且可以用于测试 CMT 患者中发现的未知序列变异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验