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肝脏基因调控网络:非酒精性脂肪性肝病的影响因素。

Liver gene regulatory networks: Contributing factors to nonalcoholic fatty liver disease.

机构信息

Department of Metabolism, Digestion and Reproduction, Section of Genetics and Genomics, Imperial College London, London, UK.

出版信息

Wiley Interdiscip Rev Syst Biol Med. 2020 May;12(3):e1480. doi: 10.1002/wsbm.1480. Epub 2020 Feb 4.

DOI:10.1002/wsbm.1480
PMID:32020788
Abstract

Metabolic diseases such as nonalcoholic fatty liver disease (NAFLD) result from complex interactions between intrinsic and extrinsic factors, including genetics and exposure to obesogenic environments. These risk factors converge in aberrant gene expression patterns in the liver, which are underlined by altered cis-regulatory networks. In homeostasis and in disease states, liver cis-regulatory networks are established by coordinated action of liver-enriched transcription factors (TFs), which define enhancer landscapes, activating broad gene programs with spatiotemporal resolution. Recent advances in DNA sequencing have dramatically expanded our ability to map active transcripts, enhancers and TF cistromes, and to define the 3D chromatin topology that contains these elements. Deployment of these technologies has allowed investigation of the molecular processes that regulate liver development and metabolic homeostasis. Moreover, genomic studies of NAFLD patients and NAFLD models have demonstrated that the liver undergoes pervasive regulatory rewiring in NAFLD, which is reflected by aberrant gene expression profiles. We have therefore achieved an unprecedented level of detail in the understanding of liver cis-regulatory networks, particularly in physiological conditions. Future studies should aim to map active regulatory elements with added levels of resolution, addressing how the chromatin landscapes of different cell lineages contribute to and are altered in NAFLD and NAFLD-associated metabolic states. Such efforts would provide additional clues into the molecular factors that trigger this disease. This article is categorized under: Biological Mechanisms > Metabolism Biological Mechanisms > Regulatory Biology Laboratory Methods and Technologies > Genetic/Genomic Methods.

摘要

代谢疾病,如非酒精性脂肪性肝病(NAFLD),是由内在和外在因素(包括遗传因素和肥胖环境暴露)之间的复杂相互作用引起的。这些风险因素汇聚在肝脏中异常的基因表达模式中,这是由改变的顺式调控网络所强调的。在稳态和疾病状态下,肝脏顺式调控网络是通过富含肝脏的转录因子(TFs)的协调作用建立的,这些因子定义了增强子景观,以时空分辨率激活广泛的基因程序。DNA 测序的最新进展极大地扩展了我们绘制活性转录物、增强子和 TF 顺式元件图谱以及定义包含这些元件的 3D 染色质拓扑结构的能力。这些技术的应用使得我们能够研究调节肝脏发育和代谢稳态的分子过程。此外,对 NAFLD 患者和 NAFLD 模型的基因组研究表明,肝脏在 NAFLD 中经历了广泛的调控重排,这反映在异常的基因表达谱中。因此,我们在理解肝脏顺式调控网络方面取得了前所未有的细节水平,特别是在生理条件下。未来的研究应该旨在以更高的分辨率绘制活性调控元件图谱,解决不同细胞谱系的染色质景观如何以及在 NAFLD 和与 NAFLD 相关的代谢状态中如何发生改变。这些努力将为触发这种疾病的分子因素提供更多线索。本文归入以下类别: 生物学机制 > 代谢 生物学机制 > 调控生物学 实验室方法和技术 > 遗传/基因组方法。

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