Harnish J Michael, Deal Samantha L, Chao Hsiao-Tuan, Wangler Michael F, Yamamoto Shinya
Department of Molecular and Human Genetics, Baylor College of Medicine.
Program in Developmental Biology, Baylor College of Medicine.
J Vis Exp. 2019 Aug 20(150). doi: 10.3791/59658.
Advances in sequencing technology have made whole-genome and whole-exome datasets more accessible for both clinical diagnosis and cutting-edge human genetics research. Although a number of in silico algorithms have been developed to predict the pathogenicity of variants identified in these datasets, functional studies are critical to determining how specific genomic variants affect protein function, especially for missense variants. In the Undiagnosed Diseases Network (UDN) and other rare disease research consortia, model organisms (MO) including Drosophila, C. elegans, zebrafish, and mice are actively used to assess the function of putative human disease-causing variants. This protocol describes a method for the functional assessment of rare human variants used in the Model Organisms Screening Center Drosophila Core of the UDN. The workflow begins with gathering human and MO information from multiple public databases, using the MARRVEL web resource to assess whether the variant is likely to contribute to a patient's condition as well as design effective experiments based on available knowledge and resources. Next, genetic tools (e.g., T2A-GAL4 and UAS-human cDNA lines) are generated to assess the functions of variants of interest in Drosophila. Upon development of these reagents, two-pronged functional assays based on rescue and overexpression experiments can be performed to assess variant function. In the rescue branch, the endogenous fly genes are "humanized" by replacing the orthologous Drosophila gene with reference or variant human transgenes. In the overexpression branch, the reference and variant human proteins are exogenously driven in a variety of tissues. In both cases, any scorable phenotype (e.g., lethality, eye morphology, electrophysiology) can be used as a read-out, irrespective of the disease of interest. Differences observed between reference and variant alleles suggest a variant-specific effect, and thus likely pathogenicity. This protocol allows rapid, in vivo assessments of putative human disease-causing variants of genes with known and unknown functions.
测序技术的进步使全基因组和全外显子数据集在临床诊断和前沿人类遗传学研究中更容易获取。尽管已经开发了许多计算机算法来预测这些数据集中鉴定出的变异的致病性,但功能研究对于确定特定基因组变异如何影响蛋白质功能至关重要,尤其是对于错义变异。在未确诊疾病网络(UDN)和其他罕见病研究联盟中,包括果蝇、秀丽隐杆线虫、斑马鱼和小鼠在内的模式生物(MO)被积极用于评估假定的人类致病变异的功能。本方案描述了一种用于在UDN的模式生物筛选中心果蝇核心中对罕见人类变异进行功能评估的方法。工作流程始于从多个公共数据库收集人类和模式生物信息,使用MARRVEL网络资源评估变异是否可能导致患者患病,并根据现有知识和资源设计有效的实验。接下来,生成遗传工具(如T2A-GAL4和UAS-人类cDNA系)以评估果蝇中感兴趣变异的功能。在开发这些试剂后,可以基于拯救和过表达实验进行双管齐下的功能测定,以评估变异功能。在拯救分支中,通过用参考或变异人类转基因替换直系同源果蝇基因,使内源性果蝇基因“人源化”。在过表达分支中,参考和变异人类蛋白质在多种组织中外源表达。在这两种情况下,任何可评分的表型(如致死率、眼睛形态、电生理学)都可以用作读数,而与感兴趣的疾病无关。参考等位基因和变异等位基因之间观察到的差异表明存在变异特异性效应,因此可能具有致病性。本方案允许对具有已知和未知功能的基因的假定人类致病变异进行快速的体内评估。