Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL 35487, USA.
Alabama Research Institute on Aging, The University of Alabama, Tuscaloosa, AL 35487, USA.
Hum Mol Genet. 2022 Oct 20;31(R1):R37-R46. doi: 10.1093/hmg/ddac203.
The exponential accumulation of DNA sequencing data has opened new avenues for discovering the causative roles of single-nucleotide polymorphisms (SNPs) in neurological diseases. The opportunities emerging from this are staggering, yet only as good as our abilities to glean insights from this surplus of information. Whereas computational biology continues to improve with respect to predictions and molecular modeling, the differences between in silico and in vivo analysis remain substantial. Invertebrate in vivo model systems represent technically advanced, experimentally mature, high-throughput, efficient and cost-effective resources for investigating a disease. With a decades-long track record of enabling investigators to discern function from DNA, fly (Drosophila) and worm (Caenorhabditis elegans) models have never been better poised to serve as living engines of discovery. Both of these animals have already proven useful in the classification of genetic variants as either pathogenic or benign across a range of neurodevelopmental and neurodegenerative disorders-including autism spectrum disorders, ciliopathies, amyotrophic lateral sclerosis, Alzheimer's and Parkinson's disease. Pathogenic SNPs typically display distinctive phenotypes in functional assays when compared with null alleles and frequently lead to protein products with gain-of-function or partial loss-of-function properties that contribute to neurological disease pathogenesis. The utility of invertebrates is logically limited by overt differences in anatomical and physiological characteristics, and also the evolutionary distance in genome structure. Nevertheless, functional annotation of disease-SNPs using invertebrate models can expedite the process of assigning cellular and organismal consequences to mutations, ascertain insights into mechanisms of action, and accelerate therapeutic target discovery and drug development for neurological conditions.
DNA 测序数据的指数级积累为发现单核苷酸多态性 (SNP) 在神经疾病中的因果作用开辟了新途径。由此产生的机会令人震惊,但只有我们有能力从这些过剩的信息中获取洞察力,这些机会才会好。虽然计算生物学在预测和分子建模方面不断改进,但计算机分析和体内分析之间的差异仍然很大。无脊椎动物体内模型系统是一种技术先进、实验成熟、高通量、高效且具有成本效益的资源,可用于研究疾病。经过几十年的历史,使研究人员能够从 DNA 中辨别功能,果蝇 (Drosophila) 和线虫 (Caenorhabditis elegans) 模型从未如此适合作为发现的活体引擎。这两种动物在一系列神经发育和神经退行性疾病(包括自闭症谱系障碍、纤毛病、肌萎缩侧索硬化症、阿尔茨海默病和帕金森病)的遗传变异分类中已经被证明是有用的。与无效等位基因相比,致病性 SNP 通常在功能测定中表现出独特的表型,并且经常导致具有获得功能或部分丧失功能特性的蛋白质产物,这些特性导致神经疾病的发病机制。无脊椎动物的实用性在逻辑上受到解剖学和生理学特征的明显差异以及基因组结构的进化距离的限制。然而,使用无脊椎动物模型对疾病 SNP 进行功能注释可以加快将突变的细胞和机体后果分配给突变、确定作用机制的见解,并加速针对神经状况的治疗靶点发现和药物开发。