Analysis of microRNA expression by in situ hybridization with RNA oligonucleotide probes

In situ hybridization is an important tool for analyzing gene expression and developing hypotheses about gene functions. The discovery of hundreds of microRNA (miRNA) genes in animals has provided new challenges for analyzing gene expression and functions. The small size of the mature miRNAs ( approximately 20-24 nucleotides in length) presents difficulties for conventional in situ hybridization methods. However, we have described a modified in situ hybridization method for detection of mammalian miRNAs in tissue sections, based upon the use of RNA oligonucleotide probes in combination with highly specific wash conditions. Here, we present detailed procedures for detection of miRNAs in tissue sections or cultured cells. The methods described can utilize either nonradioactive hapten-conjugated probes that are detected by enzyme-coupled antibodies, or radioactively labeled probes that are detected by autoradiography. The ability to visualize miRNA expression patterns in tissue sections provides an additional tool for the analyses of miRNA expression and function. In addition, the use of radioactively labeled probes should facilitate quantitative analyses of changes in miRNA gene expression.     

MicroRNAs in human diseases

The discovery of microRNAs (miRNAs), a new class of negative regulator that represses gene expression by pairing with their target messenger RNAs (mRNAs), has revealed a natural pathway for controlling gene expression. There are hundreds of miRNAs encoded in the human genome and thousands of target mRNAs, which illustrates the important regulatory roles of miRNAs in cell developmental, differentiation, proliferation and apoptosis pathways. In this scenario, it is not surprising that deregulated miRNAs have been involved in the pathogenesis of many human diseases. The recent development of technologies and compounds to identify and modulate miRNAs has opened new avenues for diagnosis, prognosis and therapeutic applications. Here, we summarize most of the recent patents related to the detection and profiling of miRNAs from pathological samples and to miRNA modulators used as new therapies for disease, including cancer and viral infections, as well as methods for their delivery.     

The discovery approaches and detection methods of microRNAs

MicroRNAs (miRNAs) are small, highly conserved, non-coding RNAs that regulate gene expression of target mRNAs through cleavage or translational inhibition. Computer-based approaches for miRNA gene identification are being considered as indispensable in miRNAs research. Similarly, experimental approaches for detection of miRNAs are crucial to the testing and validating of computational algorithms. The detection of miRNAs in tissues or cells can supply valuable information for investigating the biological function of these molecules. Selective and highly sensitive detection methods will pave the way for extended understanding of miRNA function within organisms. In this review, we summarize the various computational methods for identification of miRNAs as well as the methodologies that have been developed to detection miRNAs.     

新一代测序技术应用于microRNA检测

MicroRNAs(miRNAs)是一类在进化上高度保守的非编码小分子单链RNA(~22nt),在基因转录后调控中发挥至关重要的作用。越来越多的证据表明,miRNAs参与很多重要的生理和病理过程,例如发育、器官形成、调亡、细胞增殖、肿瘤发生等。近年来飞速发展的新一代测序技术在miRNA检测方面具有重要的应用。文章简要介绍了新一代测序技术3大平台的基本步骤和原理,测序数据的生物信息学分析方法以及新一代测序技术在miRNA方向的主要应用。相比于传统的miRNA检测方法,新一代测序技术具有通量高、对遗传物质检测完全且准确度高,可重复性好等优点,在探索新miRNA、miRNA互补链、miRNA编辑、miRNA异构体检测以及miRNA靶基因检测等方面具有巨大优势。随着新一代测序技术的不断发展,测序成本不断降低,在未来几年,新一代测序技术的使用率或将大大增加。新一代测序技术的不断应用将进一步促进人类对于miRNA在各种生理病理过程中的功能和调控的认识。     

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.     

Adaptive evolution of testis-specific,recently evolved,clustered miRNAs in Drosophila

The propensity of animal miRNAs to regulate targets bearing modest complementarity, most notably via pairing with miRNA positions ∼2–8 (the “seed”), is believed to drive major aspects of miRNA evolution. First, minimal targeting requirements have allowed most conserved miRNAs to acquire large target cohorts, thus imposing strong selection on miRNAs to maintain their seed sequences. Second, the modest pairing needed for repression suggests that evolutionarily nascent miRNAs may generally induce net detrimental, rather than beneficial, regulatory effects. Hence, levels and activities of newly emerged miRNAs are expected to be limited to preserve the status quo of gene expression. In this study, we unexpectedly show that Drosophila testes specifically express a substantial miRNA population that contravenes these tenets. We find that multiple genomic clusters of testis-restricted miRNAs harbor recently evolved miRNAs, whose experimentally verified orthologs exhibit divergent sequences, even within seed regions. Moreover, this class of miRNAs exhibits higher expression and greater phenotypic capacities in transgenic misexpression assays than do non-testis-restricted miRNAs of similar evolutionary age. These observations suggest that these testis-restricted miRNAs may be evolving adaptively, and several methods of evolutionary analysis provide strong support for this notion. Consistent with this, proof-of-principle tests show that orthologous miRNAs with divergent seeds can distinguish target sensors in a species-cognate manner. Finally, we observe that testis-restricted miRNA clusters exhibit extraordinary dynamics of miRNA gene flux in other Drosophila species. Altogether, our findings reveal a surprising tissue-directed influence of miRNA evolution, involving a distinct mode of miRNA function connected to adaptive gene regulation in the testis.     

Expression profile analysis of microRNA (miRNA) in mouse central nervous system using a new miRNA detection system that examines hybridization signals at every step of washing

MicroRNAs (miRNAs) are small noncoding RNAs, with a length of 19 to 23 nucleotides, which appear to be involved in the regulation of gene expression by inhibiting the translation of messenger RNA. Expression profile analysis of miRNAs is necessary to understand their complex role in the regulation of gene expression during the development and differentiation of cells and in various tissues. We describe here a detection system for miRNA expression profiles, using a new type of DNA chip and fluorescent labeled cellular RNAs, which allows real-time detection of hybridization signals at every step of washing and results in highly reproducible miRNA expression profiles. Using the system, we investigated the expression profiles of miRNA in the mouse central nervous system (CNS), namely the spinal cord, medulla oblongata, pons, cerebellum, midbrain, diencephalons, and cerebral hemispheres. The results indicated that although the CNS subregions expressed similar miRNA genes, the expression levels of the miRNAs varied among the subregions, suggesting that the CNS subregions specialized for different functions possess different expression profiles of miRNAs.     

Inferring the perturbed microRNA regulatory networks from gene expression data using a network propagation based method

Background

MicroRNAs (miRNAs) are a class of endogenous small regulatory RNAs. Identifications of the dys-regulated or perturbed miRNAs and their key target genes are important for understanding the regulatory networks associated with the studied cellular processes. Several computational methods have been developed to infer the perturbed miRNA regulatory networks by integrating genome-wide gene expression data and sequence-based miRNA-target predictions. However, most of them only use the expression information of the miRNA direct targets, rarely considering the secondary effects of miRNA perturbation on the global gene regulatory networks.

Results

We proposed a network propagation based method to infer the perturbed miRNAs and their key target genes by integrating gene expressions and global gene regulatory network information. The method used random walk with restart in gene regulatory networks to model the network effects of the miRNA perturbation. Then, it evaluated the significance of the correlation between the network effects of the miRNA perturbation and the gene differential expression levels with a forward searching strategy. Results show that our method outperformed several compared methods in rediscovering the experimentally perturbed miRNAs in cancer cell lines. Then, we applied it on a gene expression dataset of colorectal cancer clinical patient samples and inferred the perturbed miRNA regulatory networks of colorectal cancer, including several known oncogenic or tumor-suppressive miRNAs, such as miR-17, miR-26 and miR-145.

Conclusions

Our network propagation based method takes advantage of the network effect of the miRNA perturbation on its target genes. It is a useful approach to infer the perturbed miRNAs and their key target genes associated with the studied biological processes using gene expression data.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2105-15-255) contains supplementary material, which is available to authorized users.     

Novel regulation and functional interaction of polycistronic miRNAs

The importance of microRNAs in gene expression and disease is well recognized. However, what is less appreciated is that almost half of miRNA genes are organized in polycistronic clusters and are therefore coexpressed. The mir-11∼998 cluster consists of two miRNAs, miR-11 and miR-998. Here, we describe a novel layer of regulation that links the processing and expression of miR-998 to the presence of the mir-11 gene. We show that the presence of miR-11 in the pri-miRNA is required for processing by Drosha, and deletion of mir-11 prevents the expression of miR-998. Replacing mir-11 with an unrelated miRNA rescued miR-998 expression in vivo and in vitro, as did expressing miR-998 from a shorter, more canonical miRNA scaffold. The embedded regulation of miR-998 is functionally important because unchecked miR-998 expression in the absence of miR-11 resulted in pleiotropic developmental defects. This novel regulation of expression of miRNAs within a cluster is not limited to the mir-11∼998 cluster and, thus, likely reflects the more general cis-regulation of expression of individual miRNAs. Collectively, our results uncover a novel layer of regulation within miRNA clusters that tempers the functions of the individual miRNAs. Unlinking their expression has the potential to change the expression of multiple miRNA targets and shift a biological response.     

Recovery of dicer-like 1-late flowering phenotype by miR172 expressed by the noncanonical DCL4-dependent biogenesis pathway

MicroRNAs (miRNAs) act as down-regulators of gene expression, and play a dominant role in eukaryote development. In Arabidopsis thaliana, DICER-LIKE 1 (DCL1) is the main processor in miRNA biogenesis, and dcl1 mutants show various developmental defects at the early stage of embryogenesis or at gamete formation. However, miRNAs responsible for the respective developmental stages of the dcl1 defects have not been identified. Here, we developed a DCL1-independent miRNA expression system using the unique DCL4-dependent miRNA, miR839. By replacing the mature sequence in the miR839 precursor sequence with that of miR172, one of the most widely conserved miRNAs in angiosperms, we succeeded in expressing miR172 from a chimeric miR839 precursor in dcl1-7 plants and observed the repression of miR172 target gene expression. In parallel, the DCL4-dependent miR172 expression rescued the late flowering phenotype of dcl1-7 by acceleration of flowering. We established the DCL1-independent miRNA expression system, and revealed that the reduction of miR172 expression is responsible for the dcl1-7 late flowering phenotype.     

A single-molecule method for the quantitation of microRNA gene expression

MicroRNAs (miRNA) are short endogenous noncoding RNA molecules that regulate fundamental cellular processes such as cell differentiation, cell proliferation and apoptosis through modulation of gene expression. Critical to understanding the role of miRNAs in this regulation is a method to rapidly and accurately quantitate miRNA gene expression. Existing methods lack sensitivity, specificity and typically require upfront enrichment, ligation and/or amplification steps. The Direct miRNA assay hybridizes two spectrally distinguishable fluorescent locked nucleic acid (LNA)-DNA oligonucleotide probes to the miRNA of interest, and then tagged molecules are directly counted on a single-molecule detection instrument. In this study, we show the assay is sensitive to femtomolar concentrations of miRNA (500 fM), has a three-log linear dynamic range and is capable of distinguishing among miRNA family members. Using this technology, we quantified expression of 45 human miRNAs within 16 different tissues, yielding a quantitative differential expression profile that correlates and expands upon published results.