Dominant negative variants and cotranslational assembly of macromolecular complexes

Author:

Veitia Reiner A.123ORCID

Affiliation:

1. Institut Jacques Monod Université Paris Cité, CNRS Paris France

2. Université Paris‐Saclay Saclay France

3. Institut de Biologie François Jacob CEA Fontenay aux Roses France

Abstract

AbstractPathogenic variants occurring in protein‐coding regions underlie human genetic disease through various mechanisms. They can lead to a loss of function (LOF) such as in recessive conditions or in dominant conditions due to haploinsufficiency. Dominant‐negative (DN) effects, counteracting the activity of the normal gene‐product, and gain of function (GOF) are also mechanisms driving dominance. Here, I discuss a few papers on these specific mechanisms. In short, there is accumulating evidence pointing to differences between LOF versus non‐LOF variants (DN and GOF). The latter are thought to have milder effects on protein structure and, as expected, DN variants are enriched at protein interfaces. This tendency to cluster in 3D space can help improve the ability of computational tools to predict the pathogenicity of DN variants, which is currently a challenging issue. More recent results support the hypothesis whereby cotranslational assembly of macromolecular complexes can buffer deleterious consequences of variants that would otherwise lead to DN effects (DNEs). Indeed, subunits the variants of which are responsible for DNEs tend to elude cotranslational assembly, thus poisoning complexes involving wild‐type subunits. The constraints explaining why the buffering of DNEs is not universal require further investigation.

Publisher

Wiley

Subject

General Biochemistry, Genetics and Molecular Biology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3