综述

固醇调节元件结合蛋白1及其靶基因网络

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  • 1. 南昌大学医学院生理学教研室, 南昌 330001 2. 南昌大学医学院生物化学教研室, 南昌 330001 3. 南昌大学转化医学研究院, 南昌 330001

收稿日期: 2012-09-27

  修回日期: 2012-10-23

  网络出版日期: 2013-05-25

基金资助

国家自然科学基金项目(编号:81260021, 81200631, 81171184, 31060139, 30860086, 30660059), 江西省科技支撑计划-社会发展支撑计划重点项目(编号:2010BSA09500)和江西省青年科学基金资助项目(编号:20114BAB215019)资助

Sterol regulatory element binding protein 1 and its target gene networks

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  • 1. Department of Physiology, Medical College of Nanchang University, Nanchang 330001, China 2. Department of Biochemistry, Medical College of Nanchang University, Nanchang 330001, China 3. Institute of Translational Medicine of Nanchang University, Nanchang 330001, China

Received date: 2012-09-27

  Revised date: 2012-10-23

  Online published: 2013-05-25

摘要

固醇调节元件结合蛋白1(Sterol regulatory element-binding protein 1, SREBP-1)是重要的核转录因子之一, 能调控内源性胆固醇、脂肪酸、甘油三酯和磷脂合成所需酶的表达, 以维持血脂动态平衡。研究表明, SREBP-1及其靶基因网络的异常可引起胰岛素抵抗、Ⅱ型糖尿病、心功能紊乱、血管并发症和肝脂肪变等一系列代谢性疾病。近年高通量组学技术的发展极大扩展了对SREBP-1靶基因及其转录调控模式的了解。文章对SREBP-1蛋白结构、活化过程、DNA结合位点及其调控的靶基因等方面的研究进展进行了综述, 并着重介绍了基于组学数据的转录调控网络的构建, 这将有助于更好的认识SREBP-1在脂类代谢中的作用, 为深入探讨脂质代谢性疾病的治疗提供新线索。

本文引用格式

汤晓丽 邓立彬 林加日 张伟龙 刘双梅 魏懿 梅普明 汪雁 梁尚栋 . 固醇调节元件结合蛋白1及其靶基因网络[J]. 遗传, 2013 , 35(5) : 607 -615 . DOI: 10.3724/SP.J.1005.2013.00607

Abstract

Sterol regulatory element binding protein 1 (SREBP-1) is one of the important nuclear transcription factors. SREBP-1 can maintain lipids dynamic equilibrium by regulating the expression of enzymes required for synthesis of endogenous cholesterol, fatty acids, triglycerides and phospholipids. Anomalies of SREBP-1 and its target genes can cause a series of metabolic diseases such as insulin resistance, type Ⅱ diabetes, heart dysfunction, vascular complications and hepatic steatosis. In these years, the development of high-throughput technologies has greatly expanded our knowledge about SREBP-1 target genes and the pattern of transcriptional regulation. Here we reviewed recent research progress of SREBP-1, with a focus on the protein structure, activation process, DNA binding sites and target genes. Most importantly, we showed the transcriptional regulatory networks based on omics datasets, which will contribute to a better understanding of the role of SREBP-1 in lipid metabolism and provide new clues for the treatment of lipid metabolism disorders.

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