Structural improvement of LidNA: delta-type LidNA is a potent miRNA inhibitor constructed with unmodified DNA

ABSTRACT

Many miRNA inhibitors have been developed, including chemically modified oligonucleotides, such as 2′-O-methylated RNA and locked nucleic acid (LNA). Unmodified DNA has not yet been reported as a miRNA inhibitor due to relatively low DNA/miRNA binding affinity. We designed a structured DNA, LidNA, which was constructed with unmodified DNA, consisting of a complementary sequence to the target miRNA flanked by two structured DNA regions, such as double-stranded DNA. LidNA inhibited miRNA activity more potently than 2′-O-methylated RNA or LNA. To optimize LidNA, two double-stranded regions were joined, causing the molecule to assume a delta-like shape, which we termed delta-type LidNA. Delta-type LidNAs were developed to target endogenous and exogenous miRNAs, and exhibited potent miRNA inhibitory effects with a duration of at least 10 days. Delta-type LidNA-21, which targeted miR-21, inhibited the growth of cancer cell lines. This newly developed LidNA could contribute to miRNA studies across multiple fields.

Abbreviations: LidNA: DNA that puts a lid on miRNA function; LNA: locked nucleic acid; 3′-UTR: 3′-untranslated regions; RISC: RNA-induced silencing complex; MBL: Molecular beacon-like LidNA; YMBL: Y-type molecular beacon-like LidNA; TDMD: target-directed microRNA degradation.     

miRNA影响胃癌转移的机制

转移是恶性肿瘤基本的生物学特征,胃癌转移是导致胃癌患者死亡的主要原因. 诸多研究表明,微小RNA在胃癌转移过程中起着重要作用. 本文总结了有关抑制和促进胃癌转移微小RNA的研究新进展,并从影响信号传导途径、调控癌基因和抑癌基因表达、作用于细胞因子等方面分析了其主要作用机制.     

Isolation and identification of miRNAs in Jatropha curcas

MicroRNAs (miRNAs) are small noncoding RNAs that play crucial regulatory roles by targeting mRNAs for silencing. To identify miRNAs in Jatropha curcas L, a bioenergy crop, cDNA clones from two small RNA libraries of leaves and seeds were sequenced and analyzed using bioinformatic tools. Fifty-two putative miRNAs were found from the two libraries, among them six were identical to known miRNAs and 46 were novel. Differential expression patterns of 15 miRNAs in root, stem, leave, fruit and seed were detected using quantitative real-time PCR. Ten miRNAs were highly expressed in fruit or seed, implying that they may be involved in seed development or fatty acids synthesis in seed. Moreover, 28 targets of the isolated miRNAs were predicted from a jatropha cDNA library database. The miRNA target genes were predicted to encode a broad range of proteins. Sixteen targets had clear BLASTX hits to the Uniprot database and were associated with genes belonging to the three major gene ontology categories of biological process, cellular component, and molecular function. Four targets were identified for JcumiR004. By silencing JcumiR004 primary miRNA, expressions of the four target genes were up-regulated and oil composition were modulated significantly, indicating diverse functions of JcumiR004.     

动植物miRNA的生物合成、作用机理及其功能

microRNAs(miRNAs)是生物体内源长度约为20—23个核苷酸的非编码小RNA,通过与靶mRNA的互补配对而在转录后水平上对基因的表达进行负调控,导致mRNA的降解或翻译抑制。到目前为止,已报道有几千种miRNA存在于动物、植物、真菌等多细胞真核生物中,进化上高度保守。在植物和动物中,miRNA虽然都是通过与其靶基因的相互作用来调节基因表达,进而调控生物体的生长发育,但miRNA执行这种调控作用的机理却不尽相同。同时miRNA在动植物体内的形成过程也存在很多的不同之处。本文综述了动植物miRNA的生物合成、作用机理、生物功能等方面的研究进展。     

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.     

MicroRNA profile analysis of a feline kidney cell line before and after infection with mink enteritis virus

MicroRNAs (miRNAs) are small regulatory RNAs that play a significant role in eukaryotes by targeting mRNAs for cleavage or translational repression. Recent studies have also shown them to be associated with cellular changes following viral infection. Mink enteritis virus (MEV) is one of the most important viral pathogens in the mink industry. To study the involvement of miRNAs in the MEV infection process, we used Illumina's ultrahigh throughput approach to sequencing miRNA libraries from the feline kidney (F81) cell line before and after infection with MEV. Using this bioinformatics approach we identified 196 known mammalian miRNA orthologs belonging to 152 miRNA families in F81 cells. Additionally, 97 miRNA*s of these miRNAs were detected. As well as known miRNAs, 384 and 398 novel miRNA precursor candidates were identified in uninfected and MEV-infected F81 cells respectively that have not been reported in other mammals. In MEV-infected cells 3 miRNAs were significantly down-regulated and 4 up-regulated including 3 significantly. The majority (12 of 16) of randomly selected miRNA expression profiles by qRT-PCR were consistent with those identified by deep sequencing. A total of 88 miRNAs were predicted to target interferon-associated genes; 6 appear to target the 3′UTR of MEV-specific receptor transferring receptor mRNAs; and 8 to target the MEV mRNA coding region. No miRNAs coded by MEV itself were detected.     

Oncomirs: the potential role of non-coding microRNAs in understanding cancer

MicroRNAs (miRNAs) are members of a family of non-coding RNAs of 8-24 nucleotide RNA molecules that regulate target mRNAs. The first miRNAs, lin-4 and let-7, were first discovered in the year 1993 by Ambros, Ruvkun, and co-workers while studying development in Caenorhabditis elegans. miRNAs can play vital functions form C. elegans to higher vertebrates by typical Watson-Crick base pairing to specific mRNAs to regulate the expression of a specific gene. It has been well established that multicellular eukaryotes utilize miRNAs to regulate many biological processes such as embryonic development, proliferation, differentiation, and cell death. Recent studies have shown that miRNAs may provide new insight in cancer research. A recent study demonstrated that more than 50% of miRNA genes are located in fragile sites and cancer-associated genomic regions, suggesting that miRNAs may play a more important role in the pathogenesis of human cancers. Exploiting the emerging knowledge of miRNAs for the development of new human therapeutic applications will be important. Recent studies suggest that miRNA expression profiling can be correlated with disease pathogenesis and prognosis, and may ultimately be useful in the management of human cancer. In this review, we focus on how miRNAs regulate tumorigenesis by acting as oncogenes and anti-oncogenes in higher eukaryotes.     

MicroRNA靶基因的高通量鉴定方法

MicroRNAs（miRNAs）是一类内源性非编码小RNA,可在转录后水平调节基因的表达, 在细胞生长、发育、疾病发生等过程中发挥着重要作用. 明确miRNAs所调控的靶基因对阐明miRNAs的功能及在各种生命过程和疾病发生机制的角色非常关键.目前,鉴定miRNAs的靶基因的方法主要计算机预测方法和生物学实验方法.前者对miRNA靶基因的寻找作出巨大贡献,但常存在很多假阳性,必须通过生物学实验方法加以验证.后者涉及单靶基因鉴定技术和高通量多靶基因鉴定技术,高通量技术又包括基因芯片分析技术、蛋白质组学分析技术、RNA连接酶介导的cDNA末端扩增技术和生物化学法等.本文主要对这些高通量技术的应用、优劣进行归纳,并对其改进方向予以讨论.