A novel hypothesis about mechanism of thalidomide action on pattern formation

IF 2 4区 生物学 Q2 BIOLOGY
Denis Touroutine , Nadya Morozova
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引用次数: 0

Abstract

Morphogenesis, the complex process governing the formation of functional living structures, is regulated by a multitude of molecular mechanisms at various levels. While research in recent decades has shed light on many pathways involved in morphogenesis, none singularly accounts for the precise geometric shapes of organisms and their components in space. To bridge this conceptual gap between specific molecular mechanisms and the creation of definitive morphological forms, we have proposed the "epigenetic code hypothesis" in our previous work. In this framework, "epigenetic" means any inheritable cellular information beyond the genetic code that regulates cell fate alongside genetic information. In this study, we conduct a comprehensive analysis of thalidomide's teratogenic effects through the lens of our proposed "epigenetic code" theory, revealing significant indirect support for our hypothesis. We also explore the structural and functional parallels between thalidomide and auxin.
沙利度胺对模式形成作用机制的新假设
形态发生是控制生物功能结构形成的复杂过程,受不同层次的多种分子机制调控。虽然近几十年来的研究已经揭示了形态发生的多种途径,但没有一种途径能单独解释生物体及其组成部分在空间中的精确几何形状。为了弥合特定分子机制与确定形态的形成之间的概念差距,我们在之前的工作中提出了 "表观遗传密码假说"。在这一框架中,"表观遗传 "指的是遗传密码之外的任何可遗传的细胞信息,这些信息与遗传信息一起调控着细胞的命运。在本研究中,我们通过我们提出的 "表观遗传密码 "理论,对沙利度胺的致畸效应进行了全面分析,结果显示我们的假说得到了重要的间接支持。我们还探讨了沙利度胺与辅酶在结构和功能上的相似之处。
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
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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