单细胞数据时代血细胞命运决定的机制模型

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ingmar Glauche , Carsten Marr
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引用次数: 2

摘要

每天,我们体内的造血干细胞池中会产生数十亿个功能各异的血细胞。这种渐进的分化过程是分层结构的,非常稳健。我们提供了一个介绍性的审查数学方法解决谱系选择是如何在分子水平上潜在实现的功能方面。从对关键转录因子相互抑制的研究中出现,我们说明了这些简单的概念如何在近年来受到挑战并随后扩展。特别是,用计算工具对单细胞水平的组学数据进行分析,在一个未知的水平上提供了描述性的见解,而将它们嵌入到一致的机制和数学框架中仍然不完整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mechanistic models of blood cell fate decisions in the era of single-cell data

Mechanistic models of blood cell fate decisions in the era of single-cell data

Billions of functionally distinct blood cells emerge from a pool of hematopoietic stem cells in our bodies every day. This progressive differentiation process is hierarchically structured and remarkably robust. We provide an introductory review to mathematical approaches addressing the functional aspects of how lineage choice is potentially implemented on a molecular level. Emerging from studies on the mutual repression of key transcription factors, we illustrate how those simple concepts have been challenged in recent years and subsequently extended. Especially, the analysis of omics data on the single-cell level with computational tools provides descriptive insights on a yet unknown level, while their embedding into a consistent mechanistic and mathematical framework is still incomplete.

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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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