乳腺癌致病microRNA调控网络的识别与生物信息学分析

目的:构建并解析乳腺癌致病microRNA(miRNA)调控网络,探究其在乳腺癌发生发展中的调控机制。方法:整合TCGA、ENCODE、Fantom等公共数据库资源,得到miRNA、转录因子和基因候选调控关系数据,结合差异表达、变异系数与PCA,构建乳腺癌miRNA调控网络,解析调控网络的度中心性与聚类系数,使用DAVID进行功能富集分析,构建Cox回归模型作生存曲线。结果:共识别miRNA调控网络262个,其中包含5个显著差异表达miRNA,8个转录因子和130个基因。通过功能富集分析发现这些miRNA靶基因显著参与细胞周期、细胞分化、细胞生长、转移等转录后调控的肿瘤生物进程,并与FoxO信号通路、p53信号通路、基因监测通路等信号通路高度相关。通过分析生存曲线发现hsa-mir-144与hsa-mir-133a-2显著与乳腺癌患者生存相关。结论:识别的乳腺癌致病miRNA调控网络中miRNA之间有相互作用,且网络整体功能不仅受hub网络影响,也受元件自身特性影响,这些miRNA靶基因显著富集于肿瘤相关生物学进程与信号通路中。     

miRNA通过PPAR和AMPK/SREBPs信号通路调控脂质代谢

机体内脂质的稳态受到多条信号通路及其交错形成的复杂网络的调节,其中过氧化物酶体增殖物激活受体(peroxisome proliferator-activated receptor,PPAR)信号通路可促进脂质生成,而腺苷酸活化的蛋白激酶(AMP-activated protein kinase,AMPK)信号通路促进脂肪酸的分解。miRNA作为一种转录后调控因子,可以调控脂质合成、分解等过程,在脂质代谢异常相关的疾病中具有重要的调控地位。本文基于61个已被报道受miRNA调控的脂质代谢相关基因,绘制这些基因之间的互作网络,从PPAR以及AMPK/SREBPs(sterol regulatory element-binding proteins)信号途径的角度综述了miRNA对脂质代谢的调控作用。     

综述: MicroRNA与细胞信号通路的相互作用

MicroRNA(miRNA),广泛存在于多种生物中,在基因表达调控的转录后水平上发挥着重要的调节作用．细胞信号通路转导外界刺激进而引发一系列生理和病理效应,决定着细胞的功能和命运．而miRNA和细胞信号通路间的相互作用对于二者的功能发挥起着关键作用,本文将从信号通路对miRNA的调控和miRNA对信号通路的调节两方面综述二者的相互作用,揭示整合miRNA的细胞信号通路及其生物学意义．     

microRNA调控的生物网络

生物网络是生物体内各种分子通过相互作用来完成各种复杂的生物功能的一个体系。网络水平的研究,有助于我们从整体上理解生物体内各种复杂事件发生的内在机制。microRNA（miRNA）是一类在转录后水平调控基因表达的小RNA分子。研究结果表明,miRNA调控的靶基因分布范围很广,因此必然与目前所研究的生物网络有着各种各样的联系。对这种关系的揭示,将对阐明miRNA的调控规律起到重要的作用。本文重点讨论了miRNA调控的基因调控网络、蛋白质相互作用网络以及细胞信号传导网络的特征。此外,还总结了miRNA调控的网络模体（motif）和miRNA协同作用网络的特征。     

脂肪组织中的miRNAs研究进展

miRNA是近年来发现的一类长约22 nt的内源性非编码RNA,在动物中主要通过抑制靶mRNA翻译,在转录后水平调控基因表达。大量研究表明脂肪组织中的miRNAs参与了脂肪细胞分化、脂代谢等多种生物过程调控,其自身也受到转录因子、脂肪细胞因子和环境因子等调控,这些复杂的相互作用关系构成了脂肪组织中miRNA的调控网络,循环miRNA的发现为这个网络加入了新元素。对肥胖等代谢疾病的研究,应该从这个复杂的动态网络中寻找答案。文中综述了脂肪组织中miRNA的最新研究进展,以期为利用miRNA进行肥胖等相关代谢失调疾病的治疗提供新思路。     

MicroRNA调控动物脂肪细胞分化研究进展

脂肪组织不仅在维持机体能量代谢和稳态上发挥重要作用,同时也是重要的内分泌器官。脂肪细胞分化是由间充质干细胞(Mesenchymal stem cells, MSC)向成熟脂肪细胞分化的复杂生理过程,该过程由大量转录因子、激素、信号通路分子协同调控。miRNA作为内源性非编码RNA,主要通过抑制转录后翻译等机制来调控基因表达。近年来越来越多的证据表明miRNA通过调控脂肪细胞分化相关的转录因子和重要信号分子进而影响动物脂肪细胞的分化和脂肪形成。本文对miRNA影响动物白色、棕色和米色脂肪细胞分化的作用机制及其相关调控通路和关键因子进行了归纳总结,以期为肥胖等代谢性疾病的治疗提供一定的理论指导和新的治疗思路。     

小分子RNA在植物激素信号通路中的调控功能

植物激素是调控植物生长发育的信号分子。近年来的研究发现,小分子RNA作为基因表达调控网络的组分,参与植物激素信号途径,在植物生长发育和胁迫反应方面发挥重要作用。本文综述了miRNA和次级siRNA(Short interfering RNAs)介导的基因调控与植物激素信号通路相互作用的研究进展,主要包括生长素、赤霉素、油菜素内酯和脱落酸途径涉及的miRNA及其功能,并对不同发育过程中miRNA参与的不同激素信号通路的交叉和互作进行了讨论。     

miRNA调控辐射损伤相关信号通路研究

micro RNA(miRNA)是内源基因编码的长度约为19～25个核苷酸的非编码单链RNA分子。miRNA不仅广泛参与肿瘤的发生、发展和转移,与病人预后显著相关,同时还与肿瘤放射治疗有关。研究发现,电离辐射可以影响miRNA的表达水平,并具有辐射剂量和时间依赖性。此外,miRNA在组织中的表达差异也影响个体的辐射敏感性。本文从DNA损伤响应、磷脂酰肌醇3激酶/蛋白质激酶B、核转录因子kappa B、丝裂原活化蛋白激酶等重要信号通路出发,总结了近年来miRNA通过调控这些信号通路对机体组织器官和细胞辐射敏感性的影响,以及miRNA调控信号通路的主要方式,对miRNA介导的辐射损伤相关的重要分子机制作一总结。研究发现,miRNA对信号通路的调节作用交错复杂,单一miRNA可同时参与调节多条信号通路,不同信号通路分子的变化也可能同时影响多个miRNA的表达,形成了复杂的miRNA调控网络,导致细胞周期改变并影响辐射敏感性,最终引起细胞死亡率的变化。这为提高放射对肿瘤的治疗效果,降低副作用以及对病人预后的判断提供了新的理论依据。     

A dictionary on microRNAs and their putative target pathways

While in the last decade mRNA expression profiling was among the most popular research areas, over the past years the study of non-coding RNAs, especially microRNAs (miRNAs), has gained increasing interest. For almost 900 known human miRNAs hundreds of pretended targets are known. However, there is only limited knowledge about putative systemic effects of changes in the expression of miRNAs and their regulatory influence. We determined for each known miRNA the biochemical pathways in the KEGG and TRANSPATH database and the Gene Ontology categories that are enriched with respect to its target genes. We refer to these pathways and categories as target pathways of the corresponding miRNA. Investigating target pathways of miRNAs we found a strong relation to disease-related regulatory pathways, including mitogen-activated protein kinase (MAPK) signaling cascade, Transforming growth factor (TGF)-beta signaling pathway or the p53 network. Performing a sophisticated analysis of differentially expressed genes of 13 cancer data sets extracted from gene expression omnibus (GEO) showed that targets of specific miRNAs were significantly deregulated in these sets. The respective miRNA target analysis is also a novel part of our gene set analysis pipeline GeneTrail. Our study represents a comprehensive theoretical analysis of the relationship between miRNAs and their predicted target pathways. Our target pathways analysis provides a ‘miRNA-target pathway’ dictionary, which enables researchers to identify target pathways of differentially regulated miRNAs.     

Intracellular single molecule microscopy reveals two kinetically distinct pathways for microRNA assembly

MicroRNAs (miRNAs) associate with components of the RNA-induced silencing complex (RISC) to assemble on mRNA targets and regulate protein expression in higher eukaryotes. Here we describe a method for the intracellular single-molecule, high-resolution localization and counting (iSHiRLoC) of miRNAs. Microinjected, singly fluorophore-labelled, functional miRNAs were tracked within diffusing particles, a majority of which contained single such miRNA molecules. Mobility and mRNA-dependent assembly changes suggest the existence of two kinetically distinct pathways for miRNA assembly, revealing the dynamic nature of this important gene regulatory pathway. iSHiRLOC achieves an unprecedented resolution in the visualization of functional miRNAs, paving the way to understanding RNA silencing through single-molecule systems biology.     

Integrated Analysis of Microarray Data of Atherosclerotic Plaques: Modulation of the Ubiquitin-Proteasome System

Atherosclerosis is a typical complex multi-factorial disease and many molecules at different levels and pathways were involved in its development. Some studies have investigated the dysregulation in atherosclerosis at mRNA, miRNA or DNA methylation level, respectively. However, to our knowledge, the studies that integrated these data and revealed the abnormal networks of atherosclerosis have not been reported. Using microarray technology, we analyzed the omics data in atherosclerosis at mRNA, miRNA and DNA methylation levels. Our results demonstrated that the global DNA methylation and expression of miRNA/mRNA were significantly decreased in atherosclerotic plaque than in normal vascular tissue. The interaction network constructed using the integrative data revealed many genes, cellular processes and signaling pathways which were widely considered to play crucial roles in atherosclerosis and also revealed some genes, miRNAs or signaling pathways which have not been investigated in atherosclerosis until now (e.g. miR-519d and SNTB2). Moreover, the overall protein ubiquitination in atherosclerotic plaque was significantly increased. The proteasome activity was increased early but decreased in advanced atherosclerosis. Our study revealed many classic and novel genes and miRNAs involved in atherosclerosis and indicated the effects of ubiquitin-proteasome system on atherosclerosis might be closely related to the course of atherosclerosis. However, the efficacy of proteasome inhibitors in the treatment of atherosclerosis still needs more research.