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MEK1 的进化历史阐明了有害突变的本质。

Evolutionary history of MEK1 illuminates the nature of deleterious mutations.

机构信息

Department of Microbiology, The Ohio State University, Columbus, OH 43210.

Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210.

出版信息

Proc Natl Acad Sci U S A. 2023 Aug 22;120(34):e2304184120. doi: 10.1073/pnas.2304184120. Epub 2023 Aug 14.

Abstract

Mutations in signal transduction pathways lead to various diseases including cancers. MEK1 kinase, encoded by the human gene, is one of the central components of the MAPK pathway and more than a hundred somatic mutations in the gene were identified in various tumors. Germline mutations deregulating MEK1 also lead to congenital abnormalities, such as the cardiofaciocutaneous syndrome and arteriovenous malformation. Evaluating variants associated with a disease is a challenge, and computational genomic approaches aid in this process. Establishing evolutionary history of a gene improves computational prediction of disease-causing mutations; however, the evolutionary history of MEK1 is not well understood. Here, by revealing a precise evolutionary history of MEK1, we construct a well-defined dataset of MEK1 metazoan orthologs, which provides sufficient depth to distinguish between conserved and variable amino acid positions. We matched known and predicted disease-causing and benign mutations to evolutionary changes observed in corresponding amino acid positions and found that all known and many suspected disease-causing mutations are evolutionarily intolerable. We selected several variants that cannot be unambiguously assessed by automated prediction tools but that are confidently identified as "damaging" by our approach, for experimental validation in . In all cases, evolutionary intolerant variants caused increased mortality and severe defects in fruit fly embryos confirming their damaging nature. We anticipate that our analysis will serve as a blueprint to help evaluate known and novel missense variants in MEK1 and that our approach will contribute to improving automated tools for disease-associated variant interpretation.

摘要

信号转导通路中的突变导致了多种疾病,包括癌症。MEK1 激酶,由人类 基因编码,是 MAPK 通路的核心组成部分之一,在各种肿瘤中已经鉴定出超过一百种 基因的体细胞突变。MEK1 的种系突变也会导致先天性异常,如心面血管皮肤综合征和动静脉畸形。评估与疾病相关的变体是一个挑战,计算基因组学方法有助于这一过程。建立基因的进化历史可以提高对致病突变的计算预测;然而,MEK1 的进化历史尚不清楚。在这里,通过揭示 MEK1 的精确进化历史,我们构建了一个定义明确的 MEK1 后生动物直系同源物数据集,该数据集具有足够的深度,可以区分保守和可变的氨基酸位置。我们将已知和预测的致病和良性突变与相应氨基酸位置观察到的进化变化进行匹配,发现所有已知的和许多疑似致病的突变都是进化上不能容忍的。我们选择了一些不能通过自动预测工具明确评估但通过我们的方法被明确鉴定为“有害”的变体,以便在 中进行实验验证。在所有情况下,进化上不可容忍的变体导致果蝇胚胎的死亡率增加和严重缺陷,证实了它们的有害性质。我们预计,我们的分析将作为一个蓝图,帮助评估 MEK1 中的已知和新的错义变体,并且我们的方法将有助于改进与疾病相关的变体解释的自动化工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7b0/10450672/c0117dc0da4c/pnas.2304184120fig01.jpg

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