表观遗传学追踪：人工生物学计划
Epigenetic Tracking: Towards a Project for an Artificial Biology
摘要：
本文讨论了一种称为“表观遗传跟踪”的细胞生长模型，其主要特征是：i）区分“正常”细胞和“驱动”细胞; ii）驱动细胞中存在表观遗传记忆，它保持细胞在驱动细胞谱系树中的位置并代表发育过程中的分化来源。在论文的第一部分中，该模型被证明能够生成任意的目标形状的不匹配的大小和品种的evo-devo技术，从而被验证为胚胎发生和细胞分化的模型。在论文的第二部分中，展示了该模型如何为多细胞生物学的一些关键方面产生人工对应物，如垃圾DNA，衰老和致癌作用。如果单独的每一个这些主题一直是激烈的调查和建模工作的主题，据我们所知，没有一个单一的模型或理论，试图涵盖所有这些在一个统一的框架下已经提出：这项工作包含这样一个理论，这使得表观遗传跟踪人工生物学项目的潜在基础。
英文摘要：
This paper deals with a model of cellular growth called "Epigenetic Tracking", whose key features are: i) distinction bewteen "normal" and "driver" cells; ii) presence in driver cells of an epigenetic memory, that holds the position of the cell in the driver cell lineage tree and represents the source of differentiation during development. In the first part of the paper the model is proved able to generate arbitrary target shapes of unmatched size and variety by means of evo-devo techniques, thus being validated as a model of embryogenesis and cellular differentiation. In the second part of the paper it is shown how the model can produce artificial counterparts for some key aspects of multicellular biology, such as junk DNA, ageing and carcinogenesis. If individually each of these topics has been the subject of intense investigation and modelling effort, to our knowledge no single model or theory seeking to cover all of them under a unified framework has been put forward as yet: this work contains such a theory, which makes Epigenetic Tracking a potential basis for a project of Artificial Biology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
