Suppr超能文献

调控血液干细胞的网络控制系统。

Regulatory network control of blood stem cells.

机构信息

Department of Haematology, Cambridge Institute for Medical Research and Wellcome Trust & Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom.

出版信息

Blood. 2015 Apr 23;125(17):2614-20. doi: 10.1182/blood-2014-08-570226. Epub 2015 Mar 11.

Abstract

Hematopoietic stem cells (HSCs) are characterized by their ability to execute a wide range of cell fate choices, including self-renewal, quiescence, and differentiation into the many different mature blood lineages. Cell fate decision making in HSCs, as indeed in other cell types, is driven by the interplay of external stimuli and intracellular regulatory programs. Given the pivotal nature of HSC decision making for both normal and aberrant hematopoiesis, substantial research efforts have been invested over the last few decades into deciphering some of the underlying mechanisms. Central to the intracellular decision making processes are transcription factor proteins and their interactions within gene regulatory networks. More than 50 transcription factors have been shown to affect the functionality of HSCs. However, much remains to be learned about the way in which individual factors are connected within wider regulatory networks, and how the topology of HSC regulatory networks might affect HSC function. Nevertheless, important progress has been made in recent years, and new emerging technologies suggest that the pace of progress is likely to accelerate. This review will introduce key concepts, provide an integrated view of selected recent studies, and conclude with an outlook on possible future directions for this field.

摘要

造血干细胞(HSCs)的特征是能够执行广泛的细胞命运选择,包括自我更新、静止和分化为许多不同的成熟血液谱系。正如在其他细胞类型中一样,HSCs 中的细胞命运决策是由外部刺激和细胞内调节程序的相互作用驱动的。鉴于 HSC 决策对于正常和异常造血的关键性质,过去几十年中投入了大量研究努力来破译一些潜在机制。细胞内决策过程的核心是转录因子蛋白及其在基因调节网络中的相互作用。已经有超过 50 种转录因子被证明会影响 HSCs 的功能。然而,关于单个因素在更广泛的调节网络中的连接方式以及 HSC 调节网络的拓扑结构如何影响 HSC 功能,仍有许多问题需要研究。尽管如此,近年来已经取得了重要进展,新出现的技术表明,进展的步伐可能会加快。本文将介绍关键概念,提供选定的最新研究的综合观点,并对该领域的未来可能方向进行展望。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验