Silencing of microRNAs in vivo with 'antagomirs'

MicroRNAs (miRNAs) are an abundant class of non-coding RNAs that are believed to be important in many biological processes through regulation of gene expression. The precise molecular function of miRNAs in mammals is largely unknown and a better understanding will require loss-of-function studies in vivo. Here we show that a novel class of chemically engineered oligonucleotides, termed 'antagomirs', are efficient and specific silencers of endogenous miRNAs in mice. Intravenous administration of antagomirs against miR-16, miR-122, miR-192 and miR-194 resulted in a marked reduction of corresponding miRNA levels in liver, lung, kidney, heart, intestine, fat, skin, bone marrow, muscle, ovaries and adrenals. The silencing of endogenous miRNAs by this novel method is specific, efficient and long-lasting. The biological significance of silencing miRNAs with the use of antagomirs was studied for miR-122, an abundant liver-specific miRNA. Gene expression and bioinformatic analysis of messenger RNA from antagomir-treated animals revealed that the 3' untranslated regions of upregulated genes are strongly enriched in miR-122 recognition motifs, whereas downregulated genes are depleted in these motifs. Analysis of the functional annotation of downregulated genes specifically predicted that cholesterol biosynthesis genes would be affected by miR-122, and plasma cholesterol measurements showed reduced levels in antagomir-122-treated mice. Our findings show that antagomirs are powerful tools to silence specific miRNAs in vivo and may represent a therapeutic strategy for silencing miRNAs in disease.     

应用生物信息学寻找大鼠中新的microRNA分子及其实验验证

大鼠已公布的microRNA(miRNA) 数量明显少于小鼠及人miRNA的数量.本文采用同源搜索的计算方法预测大鼠新的miRNA.从miRBase数据库中下载已知动物的pre- miRNAs, 在UCSC数据库中对大鼠的全基因组序列进行了Blat分析,并根据miRNAs的筛选标准,获得45条新的大鼠miRNAs;随后随机选取其中的9条新miRNAs进行RT- PCR实验验证,发现大部分miRNAs在脑、心、肺、肾、肌肉、脾、睾丸和肝8种组织中均有表达.在此基础上,对预测的新miRNAs进行了miRNA成簇分析和miRNA基因家族分析.     

MicroRNA expression profiles classify human cancers

Recent work has revealed the existence of a class of small non-coding RNA species, known as microRNAs (miRNAs), which have critical functions across various biological processes. Here we use a new, bead-based flow cytometric miRNA expression profiling method to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers. The miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours. We observe a general downregulation of miRNAs in tumours compared with normal tissues. Furthermore, we were able to successfully classify poorly differentiated tumours using miRNA expression profiles, whereas messenger RNA profiles were highly inaccurate when applied to the same samples. These findings highlight the potential of miRNA profiling in cancer diagnosis.     

microRNA对肿瘤细胞增殖与分化的调控

microRNA(miRNA)是一种长度约为22核苷酸(nt)的非编码RNA,其主要通过碱基互补与靶mRNA的3'端非翻译区(3'UTR)结合,导致靶mRNA降解或抑制蛋白质的合成,在转录后水平调节基因的表达.miRNA突变、缺失或表达水平的异常会导致生理的异常与疾病的发生,与人类肿瘤疾病密切相关,它具有类似于癌基因或抑癌基因的作用,可参与肿瘤细胞的增殖、分化和细胞凋亡等调控过程.miRNA在肿瘤诊断和治疗方面具有广阔的应用前景.     

The microcosmos of cancer

The discovery of microRNAs (miRNAs) almost two decades ago established a new paradigm of gene regulation. During the past ten years these tiny non-coding RNAs have been linked to virtually all known physiological and pathological processes, including cancer. In the same way as certain key protein-coding genes, miRNAs can be deregulated in cancer, in which they can function as a group to mark differentiation states or individually as bona fide oncogenes or tumour suppressors. Importantly, miRNA biology can be harnessed experimentally to investigate cancer phenotypes or used therapeutically as a target for drugs or as the drug itself.     

Sequencing and comparison of yeast species to identify genes and regulatory elements

Identifying the functional elements encoded in a genome is one of the principal challenges in modern biology. Comparative genomics should offer a powerful, general approach. Here, we present a comparative analysis of the yeast Saccharomyces cerevisiae based on high-quality draft sequences of three related species (S. paradoxus, S. mikatae and S. bayanus). We first aligned the genomes and characterized their evolution, defining the regions and mechanisms of change. We then developed methods for direct identification of genes and regulatory motifs. The gene analysis yielded a major revision to the yeast gene catalogue, affecting approximately 15% of all genes and reducing the total count by about 500 genes. The motif analysis automatically identified 72 genome-wide elements, including most known regulatory motifs and numerous new motifs. We inferred a putative function for most of these motifs, and provided insights into their combinatorial interactions. The results have implications for genome analysis of diverse organisms, including the human.     

Widespread changes in protein synthesis induced by microRNAs

Animal microRNAs (miRNAs) regulate gene expression by inhibiting translation and/or by inducing degradation of target messenger RNAs. It is unknown how much translational control is exerted by miRNAs on a genome-wide scale. We used a new proteomic approach to measure changes in synthesis of several thousand proteins in response to miRNA transfection or endogenous miRNA knockdown. In parallel, we quantified mRNA levels using microarrays. Here we show that a single miRNA can repress the production of hundreds of proteins, but that this repression is typically relatively mild. A number of known features of the miRNA-binding site such as the seed sequence also govern repression of human protein synthesis, and we report additional target sequence characteristics. We demonstrate that, in addition to downregulating mRNA levels, miRNAs also directly repress translation of hundreds of genes. Finally, our data suggest that a miRNA can, by direct or indirect effects, tune protein synthesis from thousands of genes.     

RACK1依赖的miRNA途径参与调节植物叶绿素的生物合成

为深入探索活化C激酶受体1(receptor of activated C kinase 1,RACK 1)在调节植物microRNA(miRNA)的生物发生,以及其靶基因中的关键作用,对在美国国家生物技术信息中心(National Center for Biotechnology Information,NCBI)网站上共享的基因表达综合数据库(Gene Expression Omnibus,GEO)中有关rack1突变体的小RNA序列数据重新进行了系统分析和挖掘,找到了19个新miRNA.通过解析差异miRNA表达,鉴定到了特异调控叶绿素合成相关基因HEMA和HEMC表达的miRNA,为今后深入系统地研究RACK1在调节叶绿体发育和光合作用机理提供了关键的理论依据,也为利用公共数据库挖掘潜在的数据信息提供了基本的研究设想和思路.     

Dicer recognizes the 5' end of RNA for efficient and accurate processing

A hallmark of RNA silencing is a class of approximately 22-nucleotide RNAs that are processed from double-stranded RNA precursors by Dicer. Accurate processing by Dicer is crucial for the functionality of microRNAs (miRNAs). The current model posits that Dicer selects cleavage sites by measuring a set distance from the 3' overhang of the double-stranded RNA terminus. Here we report that human Dicer anchors not only the 3' end but also the 5' end, with the cleavage site determined mainly by the distance (～22 nucleotides) from the 5' end (5' counting rule). This cleavage requires a 5'-terminal phosphate group. Further, we identify a novel basic motif (5' pocket) in human Dicer that recognizes the 5'-phosphorylated end. The 5' counting rule and the 5' anchoring residues are conserved in Drosophila Dicer-1, but not in Giardia Dicer. Mutations in the 5' pocket reduce processing efficiency and alter cleavage sites in vitro. Consistently, miRNA biogenesis is perturbed in vivo when Dicer-null embryonic stem cells are replenished with the 5'-pocket mutant. Thus, 5'-end recognition by Dicer is important for precise and effective biogenesis of miRNAs. Insights from this study should also afford practical benefits to the design of small hairpin RNAs.     

大豆降解组文库microRNAs的启动子分析

研究目的：创新要点：通过分析miRNA的核心启动子和顺式作用元件为进一步解析大豆（Glycinemax）miRNAs表达调控及其功能研究提供重要信息。利用生物信息学方法全面解析了大豆降解组文库miRNA的启动子特征,并依据顺式作用元件及靶基因构建了miRNA的表达与生长素响应因子、赤霉素响应因子之问存在潜在的负反馈调控网络。研究方法：本研究利用TSSP程序和PlantCARE数据库预测了来自大豆降解组文库的440个miRNA的核心启动子以及369个miRNAs的顺式作用元件,并依据顺式作用元件及靶基因构建miRNA调控网络。重要结论：83．86％的miRNA在其上游序列中含有启动子,8．64％的miRNA在其下游序列中含有启动子,21．59％的miRNA包含增强子。核心启动子的TATA盒与转录起始位点（TSSs）的分布相似（见图2）。此外,对转录起始位点5’端的顺式作用元件预测为miRNAs的可能功能和表达的时空性提供了线索。miRNAs的顺式作用元件和靶基因的分析显示,部分miRNA的表达与生长素响应因子、赤霉素响应因子之间存在潜在的负反馈调控（见图3）。     

Innate immunity induced by composition-dependent RIG-I recognition of hepatitis C virus RNA

Innate immune defences are essential for the control of virus infection and are triggered through host recognition of viral macromolecular motifs known as pathogen-associated molecular patterns (PAMPs). Hepatitis C virus (HCV) is an RNA virus that replicates in the liver, and infects 200 million people worldwide. Infection is regulated by hepatic immune defences triggered by the cellular RIG-I helicase. RIG-I binds PAMP RNA and signals interferon regulatory factor 3 activation to induce the expression of interferon-alpha/beta and antiviral/interferon-stimulated genes (ISGs) that limit infection. Here we identify the polyuridine motif of the HCV genome 3' non-translated region and its replication intermediate as the PAMP substrate of RIG-I, and show that this and similar homopolyuridine or homopolyriboadenine motifs present in the genomes of RNA viruses are the chief feature of RIG-I recognition and immune triggering in human and murine cells. 5' terminal triphosphate on the PAMP RNA was necessary but not sufficient for RIG-I binding, which was primarily dependent on homopolymeric ribonucleotide composition, linear structure and length. The HCV PAMP RNA stimulated RIG-I-dependent signalling to induce a hepatic innate immune response in vivo, and triggered interferon and ISG expression to suppress HCV infection in vitro. These results provide a conceptual advance by defining specific homopolymeric RNA motifs within the genome of HCV and other RNA viruses as the PAMP substrate of RIG-I, and demonstrate immunogenic features of the PAMP-RIG-I interaction that could be used as an immune adjuvant for vaccine and immunotherapy approaches.     

基于Gene Ontology的MicroRNA功能聚类

MicroRNA(miRNA)的许多生物过程是通过影响靶基因的转录后表达.miRNA与靶标之间的互补程度和性质决定其基因调控作用.结构相似性可以作为一个强有力的方法推断分子功能的相似性.然而,结构比对的方法来度量miRNA之间的相似性通常不太准确,而且时间开销大.对这些表达差异的miRNA的靶标基因进行聚类,可以很好地理解miRNA的功能.提出一个新的GO(gene Ontology)语义相似性的方法来区分miRNA功能组.该方法采用项信息和边的权重来度量GO项的权重.此外,2个GO图的共同项和非共同项还被用来度量这2个图之间的相似度.对于2个miRNA,它们之间的相似性可以用它们靶标基因标注的GO项的相似性来计算.实验结果表明此方法不仅可以将相似功能的miRNA聚在一起,而且可以预测未知miRNA的功能.