通过生长发育系统的集体状态的转变,健壮的细胞身份规范

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Current Opinion in Systems Biology Pub Date : 2022-09-01 DOI:10.1016/j.coisb.2022.100437
Angel Stanoev , Aneta Koseska
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引用次数: 1

摘要

哺乳动物发育的特点是由同质的前体群体向异质的特定细胞群体过渡。我们在这里回顾了这些转变的主要动力学机制,并讨论了分化时间、稳健的细胞类型比例和扰动后的恢复是增殖和交流细胞群体的紧急特性。我们认为,利用集体系统状态的过渡来研究发育系统对于描述观察到的实验特征是必要的,并提出了一种新的分析方法的基础,以推断单细胞动力学与细胞群体中集体对称破碎状态之间的关系。
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Robust cell identity specifications through transitions in the collective state of growing developmental systems

Mammalian development is characterized with transitions from homogeneous populations of precursor to heterogeneous population of specified cells. We review here the main dynamical mechanisms through which such transitions are conceptualized, and discuss that the differentiation timing, robust cell-type proportions and recovery upon perturbation are emergent property of proliferating and communicating cell populations. We argue that studying developmental systems using transitions in collective system states is necessary to describe observed experimental features, and propose additionally the basis of a novel analytical method to deduce the relationship between single-cell dynamics and the collective, symmetry-broken states in cellular populations.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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