Abstract

The article describes a concept of epigene networks that attempts to clarify the phenomenon of heredity and presents the results of long-term studies of the control gene and epigene networks in which the authors used an integrative approach with the tools of mathematical biology, cybernetics, genetic engineering, and bioinformatics. Epigene networks are control gene networks with epigenetic properties or those containing epigenes. By epigene, we mean special hereditary units with at least two modes of functioning of the genes subordinate to them that are capable of maintaining each of the modes in a successive series of generations. Epigenes are the units of functional hereditary memory; they perform a special role in ontogeny and phylogeny. Epigenetic systems can be designed and synthesized experimentally. One such systems is a two-component, stationary epigene with specified and controlled inherited dynamic properties that functions in vivo. Artificial epigenetic constructions can serve as models of the mechanisms of differentiation and cellular memory and can be used as bacterial biosensors. The generalized threshold models of natural and synthetic molecular genetic systems for the control of gene expression have both analytical and predictive value.

中文翻译：

---

Epigene Networks：理论，模型和实验

摘要

本文介绍了表观基因网络的概念，该概念试图阐明遗传现象，并介绍了控制基因和表观基因网络的长期研究结果，其中作者使用了整合方法与数学生物学，控制论，遗传学等工具工程和生物信息学。表观基因网络是具有表观遗传特性或包含表观基因的控制基因网络。表观基因是指具有至少两个功能模式的特殊的遗传单位，这些功能隶属于它们，这些基因能够在连续的一系列世代中维持每个模式。表观基因是功能性遗传记忆的单位。它们在个体发育和系统发育中起特殊作用。表观遗传系统可以通过实验设计和合成。这样的系统之一就是两个组成部分，具有指定和受控的遗传动态特性的固定表观基因，可在体内发挥作用。人工表观遗传构造可以用作分化和细胞记忆机制的模型，并可以用作细菌生物传感器。用于控制基因表达的天然和合成分子遗传系统的通用阈值模型具有分析和预测价值。