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通过确定命运特化过程中核心信号通路激活的谱系历史来简化细胞命运图谱。

Simplifying cell fate map by determining lineage history of core pathway activation during fate specification.

作者信息

Huang Zhen

机构信息

Departments of Neuroscience and Neurology, University of Wisconsin-Madison, Madison, WI 53705 USA.

出版信息

Trends Dev Biol. 2022;15:53-62.

Abstract

A fundamental question in developmental biology is how a single genome gives rise to the diversity of cell fates. In essence, each cell fate in the human body is a unique but stable output state of the genome, maintained by positive and negative feedbacks from both inside and outside the cell (a stable cell state). Traditionally, defining a cell fate means identifying a unique combination of transcriptional factors expressed by the specific cell type. The hundreds of transcriptional factors in the genome, however, have complicated the task of simplifying cell fate representation and obtaining insights into its regulation. Moreover, results from this approach provides only a mostly static picture, with each cell fate/state disconnected from one another. An alternative approach instead defines cell fates by determining their relationship to each other, through identifying the signaling pathways that control each step of their lineage transition from a common progenitor during development. Decades of studies have shown only a handful of signaling pathways are sufficient to specify all cell fates in the body, simplifying the execution of such a strategy. In this review, I will argue this alternative approach is not only feasible but also has the potential of simplifying the cell fate landscape as well as facilitating the engineering of different cell fates for regenerative medicine.

摘要

发育生物学中的一个基本问题是,单一基因组如何产生细胞命运的多样性。本质上,人体中的每一种细胞命运都是基因组独特而稳定的输出状态,由细胞内外的正负反馈维持(一种稳定的细胞状态)。传统上,定义一种细胞命运意味着识别特定细胞类型所表达的转录因子的独特组合。然而,基因组中的数百种转录因子使简化细胞命运表征并深入了解其调控的任务变得复杂。此外,这种方法得到的结果只是一幅大多静态的图景,每种细胞命运/状态彼此孤立。另一种方法则通过确定细胞命运之间的关系来定义它们,即识别在发育过程中控制它们从共同祖细胞进行谱系转变的每一步的信号通路。数十年的研究表明,只需少数几种信号通路就足以指定体内所有细胞命运,从而简化了这种策略的实施。在这篇综述中,我将论证这种替代方法不仅可行,而且有潜力简化细胞命运图谱,并促进为再生医学设计不同的细胞命运。

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