MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA action

Microarray expression analyses following miRNA transfection/inhibition and, more recently, Argonaute cross-linked immunoprecipitation (CLIP)-seq assays have been used to detect miRNA target sites. CLIP and expression approaches measure differing stages of miRNA functioning-initial binding of the miRNP complex and subsequent message repression. We use nonparametric predictive models to characterize a large number of known target and flanking features, utilizing miRNA transfection, HITS-CLIP, and PAR-CLIP data. In particular, we utilize the precise spatial information provided by CLIP-seq to analyze the predictive effect of target flanking features. We observe distinct target determinants between expression-based and CLIP-based data. Target flanking features such as flanking region conservation are an important AGO-binding determinant-we hypothesize that CLIP experiments have a preference for strongly bound miRNP-target interactions involving adjacent RNA-binding proteins that increase the strength of cross-linking. In contrast, seed-related features are major determinants in expression-based studies, but less so for CLIP-seq studies, and increased miRNA concentrations typical of transfection studies contribute to this difference. While there is a good overlap between miRNA targets detected by miRNA transfection and CLIP-seq, the detection of CLIP-seq targets is largely independent of the level of subsequent mRNA degradation. Also, models built using CLIP-seq data show strong predictive power between independent CLIP-seq data sets, but are not strongly predictive for expression change. Similarly, models built from expression data are not strongly predictive for CLIP-seq data sets, supporting the finding that the determinants of miRNA binding and mRNA degradation differ. Predictive models and results are available at http://servers.binf.ku.dk/antar/.     

miRNA及其靶位点多态性的研究进展

微RNA(microRNA,miRNA)是一类进化上保守、长度为21～23nt的非编码单链小RNA,参与个体发育、器官形成、细胞增殖、分化和细胞凋亡等生物学过程,并在其中发挥重要的调节作用。近年来研究发现,miRNA及其靶位点的多态将引起不同类型的疾患。文章主要从miRNA及其靶位点的多态类型,以及由多态性引起的相关疾病等方面来阐述miRNA的最新进展。     

利用种子序列检测山羊皮肤中microRNA靶基因分子方法的建立

文章旨在建立一种种子序列介导的可控遗传操作—microRNA靶基因指纹图谱(MicroRNA targets fingerprint,MTFP),用于在基因表达检测中筛选与特定microRNA相关的靶基因。在设定上游种子序列的互补序列和下游锚定序列的基础上添加特殊接头,通过反转录和特殊二步PCR将microRNA的靶基因扩增;扩增后的microRNA靶基因在聚丙烯酰胺凝胶电泳中检测其片段大小和表达丰度,用于筛选在不同生理状态或试验条件下特异表达的基因;特定的靶基因序列通过DNA回收和测序方法得到。以miR-203为例,在不同生理状态的山羊皮肤样品中获得了5条大小分别为718 bp(JN709494)、349 bp(JN709495)、243 bp(JN709496)、156 bp(JN709497)和97 bp(JN709498)的靶基因序列。MTFP经济适用、可操作性强,可用于探索microRNA调节的靶基因,或用来评估靶基因的表达谱特征。     

Refining microRNA target predictions: Sorting the wheat from the chaff

microRNAs are short RNAs that reduce gene expression by binding to their targets. The accurate prediction of microRNA targets is essential to understanding the function of microRNAs. Computational predictions indicate that all human genes may be regulated by microRNAs, with each microRNA possibly targeting thousands of genes. Here we discuss computational methods for identifying mammalian microRNA targets and refining them for further experimental validation. We describe microRNA target prediction resources and procedures and how they integrate with various types of experimental techniques that aim to validate them or further explore their function. We also provide a list of target prediction databases and explain how these are curated.     

Genome-wide association study combined with biological context can reveal more disease-related SNPs altering microRNA target seed sites

Background

Emerging studies demonstrate that single nucleotide polymorphisms (SNPs) resided in the microRNA recognition element seed sites (MRESSs) in 3′UTR of mRNAs are putative biomarkers for human diseases and cancers. However, exhaustively experimental validation for the causality of MRESS SNPs is impractical. Therefore bioinformatics have been introduced to predict causal MRESS SNPs. Genome-wide association study (GWAS) provides a way to detect susceptibility of millions of SNPs simultaneously by taking linkage disequilibrium (LD) into account, but the multiple-testing corrections implemented to suppress false positive rate always sacrificed the sensitivity. In our study, we proposed a method to identify candidate causal MRESS SNPs from 12 GWAS datasets without performing multiple-testing corrections. Alternatively, we used biological context to ensure credibility of the selected SNPs.

Results

In 11 out of the 12 GWAS datasets, MRESS SNPs were over-represented in SNPs with p-value ≤ 0.05 (odds ratio (OR) ranged from 1.1 to 2.4). Moreover, host genes of susceptible MRESS SNPs in each of the 11 GWAS dataset shared biological context with reported causal genes. There were 286 MRESS SNPs identified by our method, while only 13 SNPs were identified by multiple-testing corrections with a given threshold of 1 × 10⁻⁵, which is a common cutoff used in GWAS. 27 out of the 286 candidate SNPs have been reported to be deleterious while only 2 out of 13 multiple-testing corrected SNPs were documented in PubMed. MicroRNA-mRNA interactions affected by the 286 candidate SNPs were likely to present negatively correlated expression. These SNPs introduced greater alternation of binding free energy than other MRESS SNPs, especially when grouping by haplotypes (4210 vs. 4105 cal/mol by mean, 9781 vs. 8521 cal/mol by mean, respectively).

Conclusions

MRESS SNPs are promising disease biomarkers in multiple GWAS datasets. The method of integrating GWAS p-value and biological context is stable and effective for selecting candidate causal MRESS SNPs, it reduces the loss of sensitivity compared to multiple-testing corrections. The 286 candidate causal MRESS SNPs provide researchers a credible source to initialize their design of experimental validations in the future.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-669) contains supplementary material, which is available to authorized users.     

A quantitative map of human primary microRNA processing sites

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靶向NBS1基因的 microRNA真核表达载体的构建及其活性鉴定

目的:构建靶向NBS1基因的 microRNA真核表达载体,鉴定其转染宫颈癌细胞株Hela后的生物活性?方法:根据NBS1mRNA序列设计合成四对pre- microRNA片段,定向克隆到pcDNA 6.2- GW/ EmGFP-miR真核表达载体上,并将其转染至Hela细胞株中?采用菌落PCR和测序分析鉴定插入序列的完整性;采用实时定量PCR分析鉴定重组体对NBS1mRNA表达的干扰效果以确定其生物活性? 结果:构建的四组重组体插入片段的碱基序列完全正确?重组体能干扰Hela细胞NBS1基因的表达,四组重组体NBS1 mRNA表达量分别为: 0.24±0.17 (NBS1mi-1组)?0.12±0.12 (NBS1mi-2组)?0.41±0.97 (NBS1mi-3组)?0.48±0.93 (NBS1mi-4组),其中NBS1mi-2组表达最低? 结论: 构建的四组NBS1 microRNA重组体在Hela细胞株中都具有生物活性, 且NBS1mi-2组的干扰作用最强? 载体构建成功,为应用microRNA靶向NBS1的肿瘤基因治疗的研究奠定了基础。     

miRDB: a microRNA target prediction and functional annotation database with a wiki interface

MicroRNAs (miRNAs) are short noncoding RNAs that are involved in the regulation of thousands of gene targets. Recent studies indicate that miRNAs are likely to be master regulators of many important biological processes. Due to their functional importance, miRNAs are under intense study at present, and many studies have been published in recent years on miRNA functional characterization. The rapid accumulation of miRNA knowledge makes it challenging to properly organize and present miRNA function data. Although several miRNA functional databases have been developed recently, this remains a major bioinformatics challenge to miRNA research community. Here, we describe a new online database system, miRDB, on miRNA target prediction and functional annotation. Flexible web search interface was developed for the retrieval of target prediction results, which were generated with a new bioinformatics algorithm we developed recently. Unlike most other miRNA databases, miRNA functional annotations in miRDB are presented with a primary focus on mature miRNAs, which are the functional carriers of miRNA-mediated gene expression regulation. In addition, a wiki editing interface was established to allow anyone with Internet access to make contributions on miRNA functional annotation. This is a new attempt to develop an interactive community-annotated miRNA functional catalog. All data stored in miRDB are freely accessible at http://mirdb.org.     

Abundance of microRNA target motifs in the 3'-UTRs of 20527 human genes

A mechanism, selective avoidance, proposes that microRNA (miRNA) target sites are selectively depleted in the 3'-UTRs of genes expressed at the same time and place as a miRNA. If this mechanism is ubiquitous, the target motif occurrences in the 3'-UTRs would be decreased. To test this hypothesis, we examined miRNA target motif occurrences in the 3'- and 5'-UTRs of 20527 human protein-coding genes. The results revealed that miRNA target motifs appeared more frequently than non-target motifs and were enriched in the 3'-UTRs. This enrichment was relatively reduced in a set of 2525 genes coexpressed with miR-124a in the prefrontal cortex, but still remained at a high level, suggesting that miRNA target motifs are fostered by some other factors that surpass the influence of selective avoidance.     

miRTar Hunter: A prediction system for identifying human microRNA target sites

MicroRNAs (miRNAs) are important regulators of gene expression and play crucial roles in many biological processes including apoptosis, differentiation, development, and tumorigenesis. Recent estimates suggest that more than 50% of human protein coding genes may be regulated by miRNAs and that each miRNA may bind to 300–400 target genes. Approximately 1,000 human miRNAs have been identified so far with each having up to hundreds of unique target mRNAs. However, the targets for a majority of these miRNAs have not been identified due to the lack of large-scale experimental detection techniques. Experimental detection of miRNA target sites is a costly and time-consuming process, even though identification of miRNA targets is critical to unraveling their functions in various biological processes. To identify miRNA targets, we developed miRTar Hunter, a novel computational approach for predicting target sites regardless of the presence or absence of a seed match or evolutionary sequence conservation. Our approach is based on a dynamic programming algorithm that incorporates more sequence-specific features and reflects the properties of various types of target sites that determine diverse aspects of complementarities between miRNAs and their targets. We evaluated the performance of our algorithm on 532 known human miRNA:target pairs and 59 experimentally-verified negative miRNA:target pairs, and also compared our method with three popular programs for 481 miRNA:target pairs. miRTar Hunter outperformed three popular existing algorithms in terms of recall and precision, indicating that our unique scheme to quantify the determinants of complementary sites is effective at detecting miRNA targets. miRTar Hunter is now available at http://203.230.194.162/~kbkim.     

小立碗藓（Physcomitrella patens）植物microRNA结合靶位预测

利用857条植物miRNA序列对27546条小立碗藓mRNA序列进行搜索,预测出162个植物miRNA家族在小立碗藓中存在结合靶位。miRNA结合靶位数目和miRNA协同作用网络分析结果同时显示,miR482和miR1168在小立碗藓中结合靶位多、协同作用广,提示它们对于小立碗藓可能具有重要生物学功能。52个菜茵衣藻特有的miRNA被预测在小立碗藓中存在结合靶位,显示小立碗藓在从藻类向种子植物进化过程中处在独特演化位置。     

Computational identification of novel family members of microRNA genes in Arabidopsis thaliana and Oryza sativa

MicroRNAs (miRNAs) are a class of endogenous small RNAs that play important regulatory roles in both animals and plants, miRNA genes have been intensively studied in animals, but not in plants. In this study, we adopted a homology search approach to identify homologs of previously validated plant miRNAs in Arabidopsis thaliana and Oryza sativa. We identified 20 potential miRNA genes in Arabidopsis and 40 in O. sativa, providing a relatively complete enumeration of family members for these miRNAs in plants. In addition, a greater number of Arabidopsis miRNAs (MIR168, MIR159 and MIR172) were found to be conserved in rice. With the novel homologs, most of the miRNAs have closely related fellow miRNAs and the number of paralogs varies in the different miRNA families. Moreover, a probable functional segment highly conserved on the elongated stem of pre-miRNA fold-backs of MIR319 and MIR159 family was identified. These results support a model of variegated miRNA regulation in plants, in which miRNAs with different functional elements on their pre-miRNA fold-backs can differ in their function or regulation, and closely related miRNAs can be diverse in their specificity or competence to downregulate target genes. It appears that the sophisticated regulation of miRNAs can achieve complex biological effects through qualitative and quantitative modulation of gene expression profiles in plants.     

microRNA在胚胎干细胞中的表达及作用

摘要: 胚胎干细胞是一类具有自我更新能力和多向分化潜能的细胞, 其自我更新和多向分化过程都在遗传和表观遗传的严格调控下进行的。越来越多的研究表明microRNA 也在这一过程中发挥重要的作用。microRNA是一类内源性的非编码RNA, 能够通过与靶mRNA特异性的结合而导致靶mRNA降解或抑制其翻译, 从而对基因进行转录后调控。文章就microRNA在胚胎干细胞中的表达及其作用的研究进展做一综述。主要讨论一些在胚胎干细胞中特异性表达的microRNA, 以及这些microRNA 对胚胎干细胞自我更新和未分化状态的维持和继续分化增殖的调控作用。