Functional analyses of splice site variants in TCF12.

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Angela Borst, Tilmann Schweitzer, Denise Horn, Erdmute Kunstmann, Eva-Maria König, Natalie Pluta, Eva Klopocki
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引用次数: 0

Abstract

Pre-mRNA splicing is a fundamental step in protein synthesis within a cell. Malfunctions during this process can lead to dysfunctional proteins and thus, to a variety of different human diseases. Mis-splicing can be caused by genetic variants influencing many different molecular processes, e.g. splice donor and splice acceptor site variants. Today, the consequences of these variants can be calculated via different in-silico programs. Due to the complexity of the splicing process, however, these predictions are not always correct and should not be used as stand-alone criteria for the classification of potentially disease-causing variants. Therefore, in case RNA from an appropriate tissue is not available additional in-vitro studies, such as a minigene splice assay, which allows functional analyses of potentially disease-causing variants, are necessary to demonstrate an effect on splicing. One example of a human developmental disorder occasionally caused by mis-splicing of transcripts is craniosynostosis. This congenital disorder is defined by the premature fusion of one or multiple cranial sutures in the neurocranium. To date, numerous mutation types in more than 50 genes which are involved in a broad range of different cellular functions and pathways have been associated with craniosynostosis. For instance, the TCF12 gene encoding the bHLH (basic helix-loop-helix) protein TCF12 (transcription factor 12) is linked to Craniosynostosis 3 (OMIM: 615314) which exhibits a Saethre-Chotzen (OMIM:101400) like phenotype. In this study, we report a pipeline for functional validation of potential splice site altering variants. First, we describe the identification of two novel genetic variants and revalidation of one previously described genetic variant in patients with craniosynostosis. According to in-silico predictions, the splicing of the corresponding transcripts is altered, and the variants are potentially disease causing. We subsequently classify the consequences of alterations in TCF12 experimentally. The suspected aberrant splicing was investigated via an in-vitro minigene splice assay. In two out of three variants, the in-silico prediction and in-vitro experiments were consistent. In all variants a significantly reduced transcriptional activity was demonstrated. In summary, the combination of in-silico prediction and functional assays allowed us to classify the variants as likely pathogenic without the need for additional patient material.

TCF12剪接位点变异的功能分析。
前mrna剪接是细胞内蛋白质合成的基本步骤。这一过程中的故障可能导致功能失调的蛋白质,从而导致各种不同的人类疾病。剪接错误可由影响许多不同分子过程的遗传变异引起,例如剪接供体和剪接受体位点变异。今天,这些变化的后果可以通过不同的计算机程序计算出来。然而,由于剪接过程的复杂性,这些预测并不总是正确的,不应作为潜在致病变异分类的独立标准。因此,如果无法获得来自适当组织的RNA,则有必要进行额外的体外研究,例如允许对潜在致病变异进行功能分析的迷你基因剪接试验,以证明剪接的影响。偶尔由转录本剪接错误引起的人类发育障碍的一个例子是颅缝闭闭。这种先天性疾病是由神经头盖骨的一个或多个颅骨缝合线过早融合而定义的。迄今为止,涉及广泛的不同细胞功能和途径的50多个基因的许多突变类型与颅缝闭锁有关。例如,编码bHLH(基本螺旋-环-螺旋)蛋白TCF12(转录因子12)的TCF12基因与颅缝闭合3 (OMIM: 615314)相关,其表现出类似sae3 - chotzen (OMIM:101400)的表型。在这项研究中,我们报告了一个潜在的剪接位点改变变异的功能验证管道。首先,我们描述了两种新的遗传变异的鉴定,并重新验证了一种先前描述的颅缝闭闭患者的遗传变异。根据计算机预测,相应转录本的剪接被改变,而这些变异是潜在的致病因素。随后,我们通过实验对TCF12改变的后果进行了分类。通过体外小基因剪接实验对可疑的异常剪接进行了研究。在三分之二的变异中,计算机预测和体外实验是一致的。在所有变异中,转录活性都显著降低。总之,计算机预测和功能分析的结合使我们能够在不需要额外的患者材料的情况下将变异分类为可能的致病性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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