Jindal Granton A, Goyal Yogesh, Yamaya Kei, Futran Alan S, Kountouridis Iason, Balgobin Courtney A, Schüpbach Trudi, Burdine Rebecca D, Shvartsman Stanislav Y
Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544.
Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544.
Proc Natl Acad Sci U S A. 2017 Jan 17;114(3):510-515. doi: 10.1073/pnas.1615651114. Epub 2017 Jan 3.
Germ-line mutations in components of the Ras/MAPK pathway result in developmental disorders called RASopathies, affecting about 1/1,000 human births. Rapid advances in genome sequencing make it possible to identify multiple disease-related mutations, but there is currently no systematic framework for translating this information into patient-specific predictions of disease progression. As a first step toward addressing this issue, we developed a quantitative, inexpensive, and rapid framework that relies on the early zebrafish embryo to assess mutational effects on a common scale. Using this assay, we assessed 16 mutations reported in MEK1, a MAPK kinase, and provide a robust ranking of these mutations. We find that mutations found in cancer are more severe than those found in both RASopathies and cancer, which, in turn, are generally more severe than those found only in RASopathies. Moreover, this rank is conserved in other zebrafish embryonic assays and Drosophila-specific embryonic and adult assays, suggesting that our ranking reflects the intrinsic property of the mutant molecule. Furthermore, this rank is predictive of the drug dose needed to correct the defects. This assay can be readily used to test the strengths of existing and newly found mutations in MEK1 and other pathway components, providing the first step in the development of rational guidelines for patient-specific diagnostics and treatment of RASopathies.
Ras/MAPK信号通路组分的种系突变会导致一种名为RASopathy的发育障碍,约每1000例人类出生中就有1例受其影响。基因组测序的快速发展使得识别多种与疾病相关的突变成为可能,但目前还没有一个系统的框架将这些信息转化为针对患者的疾病进展预测。作为解决这一问题的第一步,我们开发了一个定量、廉价且快速的框架,该框架依赖早期斑马鱼胚胎在一个通用尺度上评估突变效应。利用这个检测方法,我们评估了MAPK激酶MEK1中报告的16种突变,并对这些突变进行了可靠的排序。我们发现,在癌症中发现的突变比在RASopathy和癌症中都发现的突变更严重,而后者通常又比仅在RASopathy中发现的突变更严重。此外,这种排序在其他斑马鱼胚胎检测以及果蝇特异性胚胎和成虫检测中是保守的,这表明我们的排序反映了突变分子的内在特性。此外,这种排序可预测纠正缺陷所需的药物剂量。该检测方法可很容易地用于测试MEK1和其他信号通路组分中现有和新发现突变的强度,为制定针对RASopathy患者特异性诊断和治疗的合理指南提供了第一步。