Identification of tissue-specific microRNAs from mouse

MicroRNAs (miRNAs) are a new class of noncoding RNAs, which are encoded as short inverted repeats in the genomes of invertebrates and vertebrates. It is believed that miRNAs are modulators of target mRNA translation and stability, although most target mRNAs remain to be identified. Here we describe the identification of 34 novel miRNAs by tissue-specific cloning of approximately 21-nucleotide RNAs from mouse. Almost all identified miRNAs are conserved in the human genome and are also frequently found in nonmammalian vertebrate genomes, such as pufferfish. In heart, liver, or brain, it is found that a single, tissue-specifically expressed miRNA dominates the population of expressed miRNAs and suggests a role for these miRNAs in tissue specification or cell lineage decisions. Finally, a miRNA was identified that appears to be the fruitfly and mammalian ortholog of C. elegans lin-4 stRNA.     

MicroRNAs in farm animals

MicroRNAs (miRNAs) are a class of ∼22 nucleotide-long small noncoding RNAs that target mRNAs for translational repression or degradation. miRNAs target mRNAs by base-pairing with the 3′-untranslated regions (3′-UTRs) of mRNAs. miRNAs are present in various species, from animals to plants. In this review, we summarize the identification, expression, and function of miRNAs in four important farm animal species: cattle, chicken, pig and sheep. In each of these species, hundreds of miRNAs have been identified through homology search, small RNA cloning and next generation sequencing. Real-time RT-PCR and microarray experiments reveal that many miRNAs are expressed in a tissue-specific or spatiotemporal-specific manner in farm animals. Limited functional studies suggest that miRNAs have important roles in muscle development and hypertrophy, adipose tissue growth, oocyte maturation and early embryonic development in farm animals. Increasing evidence suggests that single-nucleotide polymorphisms in miRNA target sites or miRNA gene promoters may contribute to variation in production or health traits in farm animals.     

Identifying functional miRNA-mRNA regulatory modules with correspondence latent dirichlet allocation

MOTIVATION: MicroRNAs (miRNAs) are small non-coding RNAs that cause mRNA degradation and translational inhibition. They are important regulators of development and cellular homeostasis through their control of diverse processes. Recently, great efforts have been made to elucidate their regulatory mechanism, but the functions of most miRNAs and their precise regulatory mechanisms remain elusive. With more and more matched expression profiles of miRNAs and mRNAs having been made available, it is of great interest to utilize both expression profiles to discover the functional regulatory networks of miRNAs and their target mRNAs for potential biological processes that they may participate in. RESULTS: We present a probabilistic graphical model to discover functional miRNA regulatory modules at potential biological levels by integrating heterogeneous datasets, including expression profiles of miRNAs and mRNAs, with or without the prior target binding information. We applied this model to a mouse mammary dataset. It effectively captured several biological process specific modules involving miRNAs and their target mRNAs. Furthermore, without using prior target binding information, the identified miRNAs and mRNAs in each module show a large proportion of overlap with predicted miRNA target relationships, suggesting that expression profiles are crucial for both target identification and discovery of regulatory modules.     

MicroRNAs from the Planarian Schmidtea mediterranea: a model system for stem cell biology

MicroRNAs (miRNAs) are approximately 22-nt RNA molecules that typically bind to the 3' untranslated regions of target mRNAs and function to either induce mRNA degradation or repress translation. miRNAs have been shown to play important roles in the function of stem cells and cell lineage decisions in a variety of organisms, including humans. Planarians are bilaterally symmetric metazoans that have the unique ability to completely regenerate lost tissues or organs. This regenerative capacity is facilitated by a population of stem cells known as neoblasts. Planarians are therefore an excellent model system for studying many aspects of stem cell biology. Here we report the cloning and initial characterization of 71 miRNAs from the planarian Schmidtea mediterranea. While several of the S. mediterranea miRNAs are members of miRNA families identified in other species, we also identified a number of planarian-specific miRNAs. This work lays the foundation for functional studies aimed at addressing the role of these miRNAs in regeneration, cell lineage decisions, and basic stem cell biology.     

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.     

玉米纹枯病抗性相关miRNA的鉴定与功能分析

MicroRNA (miRNA)是一类内源性非编码小分子RNA,通过指导剪切或者抑制翻译等方式调节植物基因的表达,参与调控植物的生长发育,并在多种非生物与生物胁迫响应中发挥重要作用. 但目前关于玉米纹枯病抗性相关miRNA表达调节与功能尚不十分清楚. 本研究结合直接克隆法与生物信息学分析,鉴定玉米纹枯病抗性相关9个新的玉米miRNA和已知的zma-miR168a、zma-miR168a*;WMD 3软件进行靶基因预测显示,共获得靶基因总数34个,靶基因功能主要涉及玉米的抗氧化胁迫机制、自身反馈调节、转录调控途径、抗病相关代谢途径以及毒物转运外排等调控过程;实时定量PCR检测miRNA显示,耐感纹枯病材料R15和Ye478叶片和叶鞘中共有9个miRNA受纹枯病感染诱导发生特异性差异表达. 本研究结果提示,玉米纹枯病抗性相关 miRNA介导的玉米对纹枯病诱导产生可能的抗病途径构成了玉米抗纹枯病侵染复杂的防御机制.     

Identification of conserved microRNAs and their target genes in tomato (Lycopersicon esculentum)

MicroRNAs (miRNAs) are a class of non-coding RNAs that have important gene regulation roles in various organisms. To date, a total of 1279 plant miRNAs have been deposited in the miRNA miRBase database (Release 10.1). Many of them are conserved during the evolution of land plants suggesting that the well-conserved miRNAs may also retain homologous target interactions. Recently, little is known about the experimental or computational identification of conserved miRNAs and their target genes in tomato. Here, using a computational homology search approach, 21 conserved miRNAs were detected in the Expressed Sequence Tags (EST) and Genomic Survey Sequence (GSS) databases. Following this, 57 potential target genes were predicted by searching the mRNA database. Most of the target mRNAs appeared to be involved in plant growth and development. Our findings verified that the well-conserved tomato miRNAs have retained homologous target interactions amongst divergent plant species. Some miRNAs express diverse combinations in different cell types and have been shown to regulate cell-specific target genes coordinately. We believe that the targeting propensity for genes in different biological processes can be explained largely by their protein connectivity.     

MicroRNAs: a new class of regulatory genes affecting metabolism

MicroRNAs (miRNAs) are short noncoding RNAs that regulate gene expression by binding to target mRNAs, which leads to reduced protein synthesis and sometimes decreased steady-state mRNA levels. Although hundreds of miRNAs have been identified, much less is known about their biological function. Several studies have provided evidence that miRNAs affect pathways that are fundamental for metabolic control in higher organisms such as adipocyte and skeletal muscle differentiation. Furthermore, some miRNAs have been implicated in lipid, amino acid, and glucose homeostasis. These studies open the possibility that miRNAs may contribute to common metabolic diseases and point to novel therapeutic opportunities based on targeting of miRNAs.     

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.     

果蝇miRNA的结构与功能及研究策略

miRNA是一类在动植物基因组中广泛存在的小分子非编码RNA, 作为真核细胞转录后水平上基因表达的关键调控者, 它通过与靶基因mRNA的特定位点结合, 抑制mRNA的翻译或诱导mRNA的降解, 从而介导生物体的许多重要生理活动。本文简要总结了模式昆虫黑腹果蝇Drosophila melanogaster miRNA的鉴定情况, 综述了miRNA的结构特征、生物合成途径和作用机制。miRNA可能同时调节成百上千个靶标, 其生物功能主要体现为: 调节细胞分化与凋亡, 调节器官和神经系统的发育, 控制肌肉分化, 保持能量动态平衡, 调节昆虫变态或综合调节作用。miRNA具有“低丰度、短序列、难富集”的特点, miRNA基因的获得和功能鉴定研究的基本策略是实验生物学和生物信息学方法的有机结合。鉴定新miRNA及其靶标, 深入研究其生物功能和基因进化等可能成为今后一段时间昆虫miRNA研究的重要内容。     

Experimental identification of microRNA-140 targets by silencing and overexpressing miR-140

MicroRNAs (miRNAs) are short noncoding RNA molecules regulating the expression of mRNAs. Target identification of miRNAs is computationally difficult due to the relatively low homology between miRNAs and their targets. We present here an experimental approach to target identification where the cartilage-specific miR-140 was overexpressed and silenced in cells it is normally expressed in separate experiments. Expression of mRNAs was profiled in both experiments and the intersection of mRNAs repressed by miR-140 overexpression and derepressed by silencing of miR-140 was identified. The intersection contained only 49 genes, although both treatments affected the accumulation of hundreds of mRNAs. These 49 genes showed a very strong enrichment for the miR-140 seed sequence implying that the approach is efficient and specific. Twenty-one of these 49 genes were predicted to be direct targets based on the presence of the seed sequence. Interestingly, none of these were predicted by the published target prediction methods we used. One of the potential target mRNAs, Cxcl12, was experimentally validated by Northern blot analysis and a luciferase reporter assay.