microRNA调控网络与肿瘤

microRNA(miRNA)是一类长度约为22nt的小分子非编码RNA,对基因表达进行转录后调控。基因调控网络由各种回路,如前馈和反馈回路组成。它通过将外界刺激整合成合适的输出信号,控制细胞从增殖到死亡几乎所有的生命活动。已知基因调控网络的失调与肿瘤的发生发展密切相关。新近的实验证据表明,miRNA广泛参与基因调控网络中的反馈和前馈回路。该文主要介绍miRNA在基因表达调控网络中的作用及其与肿瘤发生发展的关系。     

肝癌基因调控网络研究进展

肝癌(Hepatocellular carcinoma,HCC)是我国常见的恶性肿瘤之一。肝癌基因调控网络(HCC regulatory network,HCC GRN)是研究肝癌分子机制的重要途径之一,其节点包括肝癌相关的分子,如mi RNA、TF等,网络的边由节点间相互作用关系构成。基于不同类型的数据构建的肝癌基因调控网络其类型及特征各有不同。综合近年来肝癌基因调控网络研究发现,由TF与mi RNA构建的肝癌转录调控网络更能揭露肝癌关键基因,反映关键基因在调控网络中的扰动情况。整合基因变异信息与调控网络成为研究肝癌基因调控网络的趋势,但相应的研究几乎是空白的。本文从HCC GRN的数据来源、分类及特征,及各类型调控网络的近年研究情况等方面进行综述,并结合相关研究工作对肝癌基因调控网络研究现状进行分析与讨论,对前景进行展望,为这一领域研究工作提供参考。     

蜜蜂球囊菌的microRNA鉴定及其调控网络分析

【目的】本研究利用small RNA-seq技术对球囊菌的纯培养进行测序,对球囊菌的micro RNAs miRNAs)进行预测、鉴定和分析,进而构建miRNAs-mRNAs的调控网络。【方法】利用Illumina Hiseq Xten平台对球囊菌菌丝与孢子进行测序,通过相关生物信息学软件对球囊菌的miRNAs进行预测和分析,通过茎环(Stem-loop)PCR对部分miRNAs进行鉴定,利用Cytoskype软件构建miRNAs-mRNAs的调控网络。【结果】本研究共获得48268696条clean reads,预测出118个球囊菌的miRNAs,它们的长度分布介于18–25 nt之间,不同长度的mi RNA的首位碱基偏好性差异明显。Stem-loop PCR验证结果显示共有10个miRNAs能够扩增出符合预期的目的片段,说明多数miRNAs可能真实存在。共预测出6529个球囊菌miRNAs的靶基因,其中5725个能够注释到Nr、Swissprot、KOG、GO和KEGG数据库。进一步分析结果显示有24个靶基因注释在MAPK信号通路。Cytoskype软件分析结果显示球囊菌的miRNAs与mRNAs之间存在复杂的调控网络,绝大多数的miRNAs处于调控网络的内部且同时结合多个mRNAs。【结论】本研究率先对球囊菌的miRNAs及miRNAs-mRNAs调控网络进行全面分析,研究结果丰富了对球囊菌miRNAs的认识,为其基础生物学信息提供了有益补充,也为阐明球囊菌致病的分子机理打下了一定基础。     

Dynamic network rewiring determines temporal regulatory functions in Drosophila melanogaster development processes

The identification of network motifs has been widely considered as a significant step towards uncovering the design principles of biomolecular regulatory networks. To date, time‐invariant networks have been considered. However, such approaches cannot be used to reveal time‐specific biological traits due to the dynamic nature of biological systems, and hence may not be applicable to development, where temporal regulation of gene expression is an indispensable characteristic. We propose a concept of a “temporal sequence of network motifs”, a sequence of network motifs in active sub‐networks constructed over time, and investigate significant network motifs in the active temporal sub‐networks of Drosophila melanogaster . Based on this concept, we find a temporal sequence of network motifs which changes according to developmental stages and thereby cannot be identified from the whole static network. Moreover, we show that the temporal sequence of network motifs corresponding to each developmental stage can be used to describe pivotal developmental events.     

Clustered miRNAs and their role in biological functions and diseases

MicroRNAs (miRNAs) are endogenous, small non‐coding RNAs known to regulate expression of protein‐coding genes. A large proportion of miRNAs are highly conserved, localized as clusters in the genome, transcribed together from physically adjacent miRNAs and show similar expression profiles. Since a single miRNA can target multiple genes and miRNA clusters contain multiple miRNAs, it is important to understand their regulation, effects and various biological functions. Like protein‐coding genes, miRNA clusters are also regulated by genetic and epigenetic events. These clusters can potentially regulate every aspect of cellular function including growth, proliferation, differentiation, development, metabolism, infection, immunity, cell death, organellar biogenesis, messenger signalling, DNA repair and self‐renewal, among others. Dysregulation of miRNA clusters leading to altered biological functions is key to the pathogenesis of many diseases including carcinogenesis. Here, we review recent advances in miRNA cluster research and discuss their regulation and biological functions in pathological conditions.     

microRNAs and the mammary gland: A new understanding of gene expression

MicroRNAs (miRNAs) have been identified in cells as well as in exosomes in biological fluids such as milk. In mammary gland, most of the miRNAs studied have functions related to immunity and show alterations in their pattern of expression during lactation. In mastitis, the inflammatory response caused by Streptococcus uberis alters the expression of miRNAs that may regulate the innate immune system. These small RNAs are stable at room temperature and are resistant to repeated freeze/thaw cycles, acidic conditions and degradation by RNAse, making them resistant to industrial procedures. These properties mean that miRNAs could have multiple applications in veterinary medicine and biotechnology. Indeed, lactoglobulin-free milk has been produced in transgenic cows expressing specific miRNAs. Although plant and animal miRNAs have undergone independent evolutionary adaptation recent studies have demonstrated a cross-kingdom passage in which rice miRNA was isolated from human serum. This finding raises questions about the possible effect that miRNAs present in foods consumed by humans could have on human gene regulation. Further studies are needed before applying miRNA biotechnology to the milk industry. New discoveries and a greater knowledge of gene expression will lead to a better understanding of the role of miRNAs in physiology, nutrition and evolution.     

Identification of differentially expressed microRNAs and their PKC-isoform specific gene network prediction during hypoxic pre-conditioning and focal cerebral ischemia of mice

We previously reported the involvement of conventional protein kinase C (cPKC) βII, γ, novel PKC (nPKC) ε and their interacting proteins in hypoxic pre-conditioning (HPC)-induced neuroprotection. In this study, the large-scale miRNA microarrays and bioinformatics analysis were used to determine the differentially expressed miRNAs and their PKC-isoform specific gene network in mouse brain after HPC and 6?h middle cerebral artery occlusion (MCAO). We found 4 up-regulated and 13 down-regulated miRNAs in the cortex of HPC mice, 26 increased and 39 decreased gene expressions of miRNAs in the peri-infarct region of 6?h MCAO mice, and 11 up-regulated and 22 down-regulated miRNAs in the peri-infarct region of HPC and 6?h MCAO mice. Based on Diff Score, 19 differentially expressed miRNAs were identified in HPC and 6?h MCAO mouse brain. Then the miRNA-gene-network of 19 specified miRNAs target genes of cPKCβII, γ and nPKCε-interacting protein was predicted by using bioinformatics analysis of genome databases. Furthermore, the down-regulated miR-615-3p during HPC had a detrimental effect on the oxygen-glucose deprivation (OGD)-induced N2A cell injury. These results suggested that the identified 19 miRNAs, notably miR-615-3p, might target these genes of cPKCβII, γ and nPKCε-interacting proteins involved in HPC-induced neuroprotection.