Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Cell. 2024 Nov 14;187(23):6725-6741.e13. doi: 10.1016/j.cell.2024.09.003. Epub 2024 Sep 30.
Widespread sequencing has yielded thousands of missense variants predicted or confirmed as disease causing. This creates a new bottleneck: determining the functional impact of each variant-typically a painstaking, customized process undertaken one or a few genes and variants at a time. Here, we established a high-throughput imaging platform to assay the impact of coding variation on protein localization, evaluating 3,448 missense variants of over 1,000 genes and phenotypes. We discovered that mislocalization is a common consequence of coding variation, affecting about one-sixth of all pathogenic missense variants, all cellular compartments, and recessive and dominant disorders alike. Mislocalization is primarily driven by effects on protein stability and membrane insertion rather than disruptions of trafficking signals or specific interactions. Furthermore, mislocalization patterns help explain pleiotropy and disease severity and provide insights on variants of uncertain significance. Our publicly available resource extends our understanding of coding variation in human diseases.
广泛的测序产生了数千种被预测或确认为致病的错义变体。这就产生了一个新的瓶颈:确定每个变体的功能影响——通常是一个艰苦的、定制的过程,一次只能处理一个或几个基因和变体。在这里,我们建立了一个高通量的成像平台来检测编码变异对蛋白质定位的影响,评估了超过 1000 个基因和表型的 3448 个错义变体。我们发现,定位错误是编码变异的一个常见后果,影响大约六分之一的所有致病性错义变体、所有细胞区室以及隐性和显性疾病。定位错误主要是由蛋白质稳定性和膜插入的影响引起的,而不是由运输信号或特定相互作用的破坏引起的。此外,定位错误模式有助于解释多效性和疾病严重程度,并为不确定意义的变体提供了见解。我们公开提供的资源扩展了我们对人类疾病中编码变异的理解。