Potent inhibition of microRNA in vivo without degradation

Chemically modified antisense oligonucleotides (ASOs) are widely used as a tool to functionalize microRNAs (miRNAs). Reduction of miRNA level after ASO inhibition is commonly reported to show efficacy. Whether this is the most relevant endpoint for measuring miRNA inhibition has not been adequately addressed in the field although it has important implications for evaluating miRNA targeting studies. Using a novel approach to quantitate miRNA levels in the presence of excess ASO, we have discovered that the outcome of miRNA inhibition can vary depending on the chemical modification of the ASO. Although some miRNA inhibitors cause a decrease in mature miRNA levels, we have identified a novel 2′-fluoro/2′-methoxyethyl modified ASO motif with dramatically improved in vivo potency which does not. These studies show there are multiple mechanisms of miRNA inhibition by ASOs and that evaluation of secondary endpoints is crucial for interpreting miRNA inhibition studies.     

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。     

Pumilio turns on microRNA function

Pumilio proteins PUM1 and PUM2 are shown to regulate microRNA-dependent gene silencing by induction of a conformational switch in the 3' untranslated region of p27 mRNA. This conformational change is required for efficient microRNA-mediated repression of this cell-cycle regulator in rapidly proliferating cells.     

A non-canonical plant microRNA target site

Plant microRNAs (miRNAs) typically form near-perfect duplexes with their targets and mediate mRNA cleavage. Here, we describe an unconventional miRNA target of miR398 in Arabidopsis, an mRNA encoding the blue copper-binding protein (BCBP). BCBP mRNA carries an miR398 complementary site in its 5′-untranslated region (UTR) with a bulge of six nucleotides opposite to the 5′ region of the miRNA. Despite the disruption of a target site region thought to be especially critical for function, BCBP mRNAs are cleaved by ARGONAUTE1 between nucleotides 10th and 11th, opposite to the miRNA, like conventional plant target sites. Levels of BCBP mRNAs are inversely correlated to levels of miR398 in mutants lacking the miRNA, or transgenic plants overexpressing it. Introducing two mutations that disrupt the miRNA complementarity around the cleavage site renders the target cleavage-resistant. The BCBP site functions outside of the context of the BCBP mRNA and does not depend on 5′-UTR location. Reducing the bulge does not interfere with miR398-mediated regulation and completely removing it increases the efficiency of the slicing. Analysis of degradome data and target predictions revealed that the miR398-BCBP interaction seems to be rather unique. Nevertheless, our results imply that functional target sites with non-perfect pairings in the 5′ region of an ancient conserved miRNA exist in plants.     

Experimental strategies for microRNA target identification

MicroRNAs (miRNAs) are important regulators of eukaryotic gene expression in most biological processes. They act by guiding the RNAi-induced silencing complex (RISC) to partially complementary sequences in target mRNAs to suppress gene expression by a combination of translation inhibition and mRNA decay. The commonly accepted mechanism of miRNA targeting in animals involves an interaction between the 5'-end of the miRNA called the 'seed region' and the 3' untranslated region (3'-UTR) of the mRNA. Many target prediction algorithms are based around such a model, though increasing evidence demonstrates that targeting can also be mediated through sites other than the 3'-UTR and that seed region base pairing is not always required. The power and validity of such in silico data can be therefore hindered by the simplified rules used to represent targeting interactions. Experimentation is essential to identify genuine miRNA targets, however many experimental modalities exist and their limitations need to be understood. This review summarizes and critiques the existing experimental techniques for miRNA target identification.     

Human microRNA target identification by RRSM

MicroRNAs (miRNAs) are small endogenously expressed non-coding RNAs that regulate target messenger RNAs in various biological processes. In recent years, there have been many studies concentrated on the discovery of new miRNAs and identification of their mRNA targets. Although researchers have identified many miRNAs, few miRNA targets have been identified by actual experimental methods. To expedite the identification of miRNA targets for experimental verification, in the literature approaches based on the sequence or microarray expression analysis have been established to discover the potential miRNA targets. In this study, we focus on the human miRNA target prediction and propose a generalized relative R2 method (RRSM) to find many high-confidence targets. Many targets have been confirmed from previous studies. The targets for several miRNAs discovered by the HITS-CLIP method in a recent study have also been selected by our study.     

Improving performance of mammalian microRNA target prediction

Background  

MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However, the prediction specificity and sensitivity of the existing algorithms are still poor to generate meaningful, workable hypotheses for subsequent experimental testing. Constructing a richer and more reliable training data set and developing an algorithm that properly exploits this data set would be the key to improve the performance current prediction algorithms.     

Efficient use of accessibility in microRNA target prediction

Considering accessibility of the 3′UTR is believed to increase the precision of microRNA target predictions. We show that, contrary to common belief, ranking by the hybridization energy or by the sum of the opening and hybridization energies, used in currently available algorithms, is not an efficient way to rank predictions. Instead, we describe an algorithm which also considers only the accessible binding sites but which ranks predictions according to over-representation. When compared with experimentally validated and refuted targets in the fruit fly and human, our algorithm shows a remarkable improvement in precision while significantly reducing the computational cost in comparison with other free energy based methods. In the human genome, our algorithm has at least twice higher precision than other methods with their default parameters. In the fruit fly, we find five times more validated targets among the top 500 predictions than other methods with their default parameters. Furthermore, using a common statistical framework we demonstrate explicitly the advantages of using the canonical ensemble instead of using the minimum free energy structure alone. We also find that ‘naïve’ global folding sometimes outperforms the local folding approach.     

Beginning to understand microRNA function

MicroRNAs （miRNAs） are -22 nt small RNAs expressed by plants, animals, viruses and at least one unicellular organism, the green alga, Chlamydomonas reinhardtii. Most miRNAs are transcribed as primary miRNAs （pri-miRNAs） by RNA polymerase Ⅱ, although a few are transcribed by RNA polymerase Ⅲ. In animals, pri-miRNAs are converted to mature miRNAs by two successive endonucleolytic cleavages.[第一段]     

A developmental view of microRNA function

MicroRNAs (miRNAs) are genomically encoded small non-coding RNAs that regulate flow of genetic information by controlling translation or stability of mRNAs. Recent recognition that many miRNAs are expressed in a tissue-specific manner during development of organisms, from worms to humans, has revealed a novel mechanism by which the proteome is regulated during the dynamic events of cell-lineage decisions and morphogenesis. Advances in the understanding of miRNA biogenesis, target recognition and participation in regulatory networks demonstrate a role for miRNAs in lineage decisions of progenitor cells and organogenesis. Future discoveries in this area are likely to reveal developmental-regulation and disease mechanisms related to miRNAs.     

The evolution of animal microRNA function

MicroRNAs (miRNAs) are a large class of small RNAs that function as negative gene regulators in eukaryotes. They regulate diverse biological processes, and bioinformatics data indicate that each miRNA can control hundreds of gene targets, underscoring the potential influence of miRNAs on almost every genetic pathway. In addition to the roles in ontogeny, recent evidence has suggested the possibility that miRNAs have huge impacts on animal phylogeny. The dramatically expanding repertoire of miRNAs and their targets appears to be associated with major body-plan innovations as well as the emergence of phenotypic variation in closely related species. Research in the area of miRNA phylogenetic conservation and diversity suggests that miRNAs play important roles in animal evolution, by driving phenotypic variation during development.