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突变相互作用与上位性的基本理论框架。

A fundamental and theoretical framework for mutation interactions and epistasis.

作者信息

Giacoletto Christopher J, Benjamin Ronald, Rotter Jerome I, Schiller Martin R

机构信息

Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA; School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA; Heligenics Inc., 10530 Discovery Drive, Las Vegas, NV 89135, USA.

Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA; School of Life Sciences, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Las Vegas, NV 89154, USA.

出版信息

Genomics. 2024 Nov;116(6):110963. doi: 10.1016/j.ygeno.2024.110963. Epub 2024 Nov 17.

Abstract

Many pathological conditions are a result of intragenic epistasis; however, there are ambiguities in current epistasis models. Herein, the new Mutation Interaction Spectrum model defines a discrete outcome, named a Mutation Interaction, for each double point mutation in a gene and its component single mutations. The model is a universal genetic model of all types of mutation interactions and their functional outcomes and is derived from digital logic, commonly used in electrical engineering. Mutation interactions are normally classified as positive and negative epistasis. The model logics unifies common genetic relationships into one model, normalizing biological nomenclature, and disambiguates them with the 16 possible logic-based interactions. The model was tested by assaying transcriptional activity induced by HIV-1 Tat protein, for a random sampling of 3429 double mutations and all 1615 single mutations. All possible types of logic were observed for the Tat mutation interactions.

摘要

许多病理状况是基因内上位性的结果;然而,当前的上位性模型存在一些模糊之处。在此,新的突变相互作用谱模型为基因中的每个双点突变及其组成的单突变定义了一个离散结果,称为突变相互作用。该模型是所有类型突变相互作用及其功能结果的通用遗传模型,源自电气工程中常用的数字逻辑。突变相互作用通常分为正向和负向上位性。该模型逻辑将常见的遗传关系统一到一个模型中,规范了生物学命名法,并用16种可能的基于逻辑的相互作用消除了它们的歧义。通过检测HIV-1 Tat蛋白诱导的转录活性,对3429个双突变和所有1615个单突变的随机样本进行了测试。在Tat突变相互作用中观察到了所有可能的逻辑类型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8583/11752442/3c4e8c01f353/nihms-2040242-f0001.jpg

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