A biochemical approach to identifying microRNA targets. Proc Natl Acad Sci U S A. 2007;104:19291-19296. [PMID: 18042700 DOI: 10.1073/pnas.0709971104]

Argonaute identity defines the length of mature mammalian microRNAs

MicroRNAs (miRNAs) are 19- to 25-nt-long non-coding RNAs that regulate gene expression by base-pairing with target mRNAs and reducing their stability or translational efficiency. Mammalian miRNAs function in association with four closely related Argonaute proteins, AGO1–4. All four proteins contain the PAZ and the MID domains interacting with the miRNA 3′ and 5′ termini, respectively, as well as the PIWI domain comprising an mRNA ‘slicing’ activity in the case of AGO2 but not AGO1, AGO3 and AGO4. However, the slicing mode of the miRNA-programmed AGO2 is rarely realized in vivo and the four Argonautes are thought to play largely overlapping roles in the mammalian miRNA pathway. Here, we show that the average length of many miRNAs is diminished during nervous system development as a result of progressive shortening of the miRNA 3′ ends. We link this modification with an increase in the fractional abundance of Ago2 in the adult brain and identify a specific structural motif within the PAZ domain that enables efficient trimming of miRNAs associated with this but not the other three Argonautes. Taken together, our data suggest that mammalian Argonautes may define the length and possibly biological activity of mature mammalian miRNAs in a developmentally controlled manner.

MicroRNAs mediate metabolic stresses and angiogenesis

MicroRNAs are short endogenous RNA molecules that are able to regulate (mainly inhibiting) gene expression at the post-transcriptional level. The MicroRNA expression profile is cell-specific, but it is sensitive to perturbations produced by stresses and diseases. Endothelial cells subjected to metabolic stresses, such as calorie restriction, nutrients excess (glucose, cholesterol, lipids) and hypoxia may alter their functionality. This is predictive for the development of pathologies like atherosclerosis, diabetes, and hypertension. Moreover, cancer cells can activate a resting endothelium by secreting pro-angiogenic factors, in order to promote neoangiogenesis, which is essential for tumor growth. Endothelial altered phenotype is mirrored by altered mRNA, microRNA, and protein expression, with a microRNA being able to control pathways by regulating the expression of multiple mRNAs. In this review we will consider the involvement of microRNAs in modulating the response of endothelial cells to metabolic stresses and their role in promoting or halting angiogenesis.

RIP-chip-SRM--a new combinatorial large-scale approach identifies a set of translationally regulated bantam/miR-58 targets in C. elegans

MicroRNAs (miRNAs) are small, noncoding RNAs that negatively regulate gene expression. As miRNAs are involved in a wide range of biological processes and diseases, much effort has been invested in identifying their mRNA targets. Here, we present a novel combinatorial approach, RIP-chip-SRM (RNA-binding protein immunopurification + microarray + targeted protein quantification via selected reaction monitoring), to identify de novo high-confidence miRNA targets in the nematode Caenorhabditis elegans. We used differential RIP-chip analysis of miRNA-induced silencing complexes from wild-type and miRNA mutant animals, followed by quantitative targeted proteomics via selected reaction monitoring to identify and validate mRNA targets of the C. elegans bantam homolog miR-58. Comparison of total mRNA and protein abundance changes in mir-58 mutant and wild-type animals indicated that the direct bantam/miR-58 targets identified here are mainly regulated at the level of protein abundance, not mRNA stability.

RNA biology in a test tube--an overview of in vitro systems/assays

In vitro systems have provided a wealth of information in the field of RNA biology, as they constitute a superior and sometimes the unique approach to address many important questions. Such cell-free methods can be sorted by the degree of complexity of the preparation of enzymatic and/or regulatory activity. Progress in the study of pre-mRNA processing has largely relied on traditional in vitro methods, as these reactions have been recapitulated in cell-free systems. The pre-mRNA capping, editing, and cleavage/polyadenylation reactions have even been reconstituted using purified components, and the enzymes responsible for catalysis have been characterized by such techniques. In vitro splicing using nuclear or cytoplasmic extracts has yielded clues on spliceosome assembly, kinetics, and mechanisms of splicing and has been essential to elucidate the function of splicing factors. Coupled systems have been important to functionally connect distinct processes, like transcription and splicing. Extract preparation has also been adapted to cells from a variety of tissues and species, revealing general versus species-specific mechanisms. Cell-free assays have also been applied to newly discovered pathways such as those involving small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and Piwi-interacting RNAs (piRNAs). The first two pathways have been well characterized largely by in vitro methods, which need to be developed for piRNAs. Finally, new techniques, such as single-molecule studies, are continuously being established, providing new and important insights into the field. Thus, in vitro approaches have been, are, and will continue being at the forefront of RNA research.

MicroRNAs and their targets: recognition, regulation and an emerging reciprocal relationship

MicroRNAs (miRNAs) have emerged as key gene regulators in diverse biological pathways. These small non-coding RNAs bind to target sequences in mRNAs, typically resulting in repressed gene expression. Several methods are now available for identifying miRNA target sites, but the mere presence of an miRNA-binding site is insufficient for predicting target regulation. Regulation of targets by miRNAs is subject to various levels of control, and recent developments have presented a new twist; targets can reciprocally control the level and function of miRNAs. This mutual regulation of miRNAs and target genes is challenging our understanding of the gene-regulatory role of miRNAs in vivo and has important implications for the use of these RNAs in therapeutic settings.

Cell-type-based analysis of microRNA profiles in the mouse brain

MicroRNAs (miRNA) are implicated in brain development and function but the underlying mechanisms have been difficult to study in part due to the cellular heterogeneity in neural circuits. To systematically analyze miRNA expression in neurons, we have established a miRNA tagging and affinity-purification (miRAP) method that is targeted to cell types through the Cre-loxP binary system in mice. Our studies of the neocortex and cerebellum reveal the expression of a large fraction of known miRNAs with distinct profiles in glutamatergic and GABAergic neurons and subtypes of GABAergic neurons. We further detected putative novel miRNAs, tissue or cell type-specific strand selection of miRNAs, and miRNA editing. Our method thus will facilitate a systematic analysis of miRNA expression and regulation in specific neuron types in the context of neuronal development, physiology, plasticity, pathology, and disease models, and is generally applicable to other cell types and tissues.

Mechanisms in endocrinology: micro-RNAs: targets for enhancing osteoblast differentiation and bone formation

Osteoblast differentiation and bone formation (osteogenesis) are regulated by transcriptional and post-transcriptional mechanisms. Recently, a novel class of regulatory factors termed micro-RNAs (miRNAs) has been identified as playing an important role in the regulation of many aspects of osteoblast biology including proliferation, differentiation, metabolism and apoptosis. Also, preliminary data from animal disease models suggest that targeting miRNAs in bone can be a novel approach to increase bone mass. This review highlights the current knowledge of miRNA biology and their role in bone formation and discusses their potential use in future therapeutic applications for metabolic bone diseases.

Deep-sequencing of endothelial cells exposed to hypoxia reveals the complexity of known and novel microRNAs

In order to understand the role of microRNAs (miRNAs) in vascular physiopathology, we took advantage of deep-sequencing techniques to accurately and comprehensively profile the entire miRNA population expressed by endothelial cells exposed to hypoxia. SOLiD sequencing of small RNAs derived from human umbilical vein endothelial cells (HUVECs) exposed to 1% O₂ or normoxia for 24 h yielded more than 22 million reads per library. A customized bioinformatic pipeline identified more than 400 annotated microRNA/microRNA* species with a broad abundance range: miR-21 and miR-126 totaled almost 40% of all miRNAs. A complex repertoire of isomiRs was found, displaying also 5' variations, potentially affecting target recognition. High-stringency bioinformatic analysis identified microRNA candidates, whose predicted pre-miRNAs folded into a stable hairpin. Validation of a subset by qPCR identified 18 high-confidence novel miRNAs as detectable in independent HUVEC cultures and associated to the RISC complex. The expression of two novel miRNAs was significantly down-modulated by hypoxia, while miR-210 was significantly induced. Gene ontology analysis of their predicted targets revealed a significant association to hypoxia-inducible factor signaling, cardiovascular diseases, and cancer. Overexpression of the novel miRNAs in hypoxic endothelial cells affected cell growth and confirmed the biological relevance of their down-modulation. In conclusion, deep-sequencing accurately profiled known, variant, and novel microRNAs expressed by endothelial cells in normoxia and hypoxia.

A human 3' miR-499 mutation alters cardiac mRNA targeting and function

RATIONALE

MyomiRs miR-499, miR-208a and miR-208b direct cardiac myosin gene expression. Sequence complementarity between miRs and their mRNA targets determines miR effects, but the functional consequences of human myomiR sequence variants are unknown.

OBJECTIVE

To identify and investigate mutations in human myomiRs in order to better understand how and to what extent naturally-occurring sequence variation can impact miR-mRNA targeting and end-organ function.

METHODS AND RESULTS

Screening of ≈2,600 individual DNAs for myomiR sequence variants identified a rare mutation of miR-499, u17c in the 3' end, well outside the seed region thought to determine target recognition. In vitro luciferase reporter analysis showed that the 3' miR-499 mutation altered suppression of a subset of artificial and natural mRNA targets. Cardiac-specific transgenic expression was used to compare consequences of wild-type and mutant miR-499. Both wild-type and mutant miR-499 induced heart failure in mice, but miR-499 c17 misdirected recruitment of a subset of miR-499 target mRNAs to cardiomyocyte RNA-induced silencing complexes, altering steady-state cardiac mRNA and protein make-up and favorably impacting cardiac function. In vitro analysis of miR-499 target site mutations and modeling of binding energies revealed abnormal miR-mRNA duplex configurations induced by the c17 mutation.

CONCLUSIONS

A naturally occurring miR-499 mutation outside the critical seed sequence modifies mRNA targeting and end-organ function. This first description of in vivo effects from a natural human miR mutation outside the seed sequence supports comprehensive studies of individual phenotypes or disease-modification conferred by miR mutations.

Induction of the cellular microRNA, Hs_154, by West Nile virus contributes to virus-mediated apoptosis through repression of antiapoptotic factors

MicroRNAs (miRNAs) are a class of noncoding small RNAs that regulate multiple cellular processes, as well as the replication and pathogenesis of many DNA viruses and some RNA viruses. Examination of cellular miRNA profiles in West Nile virus (WNV)-infected HEK293 and SK-N-MC cells revealed increased expression of multiple miRNA species. One of these miRNAs, Hs_154, was significantly induced not only in WNV-infected neuronal cells in culture but also in the central nervous system tissues of infected mice and, upon transfection, caused a significant reduction in viral replication. Analysis of mRNA transcripts enriched through immunoprecipitation of the RNA-induced silencing complex identified several transcripts that contain seed sequence matches to Hs_154 in their 3' untranslated regions (UTRs). Two of these targets, the CCCTC-binding factor (CTCF) and the epidermal growth factor receptor (EGFR)-coamplified and overexpressed protein (ECOP/VOPP1) proteins display reduced expression in WNV-infected cells, and the 3' UTRs of these transcripts were sufficient to cause downregulation of expression in infected cells or in cells transfected with Hs_154, findings consistent with miRNA targeting of these transcripts. CTCF and ECOP have been shown to be associated with cell survival, implicating miRNA-directed repression of these targets in WNV-induced cell death. Consistent with this hypothesis, expression of these genes in WNV-infected cells results in a reduction in the number of cells undergoing apoptosis. These observations suggest that induction of Hs_154 expression after WNV infection modulates the apoptotic response to WNV and that cellular miRNA expression can be quickly altered during WNV infection to control aspects of the host response.

Global microRNA level regulation of EGFR-driven cell-cycle protein network in breast cancer

A genome-wide microRNA (miRNome) screen coupled with high-throughput monitoring of protein levels reveals complex, modular miRNA regulation of the EGFR-driven cell-cycle network, and identifies new miRNAs that can suppress breast cancer cell proliferation.

We interrogated, for the first time, a mammalian oncogenic signaling network with the miRNome and report the outputs at the protein level.

Whole-genome microRNA (miRNA) effects on a given protein are generally mild, supporting a fine-tuning role for miRNAs, and these effects are dominated by sequence-matching mechanisms.

We developed a novel network-analysis methodology with a bipartite graph model to identify proteins co-regulated by miRNAs. Besides the sequence-based mechanism, our results demonstrated that miRNAs simultaneously regulate several proteins belonging to the same functional module.

We identified three miRNAs, miR-124, miR-147 and miR-193a-3p, as novel tumor suppressors that co-regulate EGFR-driven cell-cycle network proteins, and inhibit cell-cycle progression and proliferation in breast cancer.

Our results demonstrate the potential to steer miRNA research toward the network level, underlining the need for systematic approaches before positioning miRNAs as drugs or drug targets.

The EGFR-driven cell-cycle pathway has been extensively studied due to its pivotal role in breast cancer proliferation and pathogenesis. Although several studies reported regulation of individual pathway components by microRNAs (miRNAs), little is known about how miRNAs coordinate the EGFR protein network on a global miRNA (miRNome) level. Here, we combined a large-scale miRNA screening approach with a high-throughput proteomic readout and network-based data analysis to identify which miRNAs are involved, and to uncover potential regulatory patterns. Our results indicated that the regulation of proteins by miRNAs is dominated by the nucleotide matching mechanism between seed sequences of the miRNAs and 3′-UTR of target genes. Furthermore, the novel network-analysis methodology we developed implied the existence of consistent intrinsic regulatory patterns where miRNAs simultaneously co-regulate several proteins acting in the same functional module. Finally, our approach led us to identify and validate three miRNAs (miR-124, miR-147 and miR-193a-3p) as novel tumor suppressors that co-target EGFR-driven cell-cycle network proteins and inhibit cell-cycle progression and proliferation in breast cancer.

MicroRNAs: redefining mechanisms in cardiac disease

MicroRNAs (miRs) regulate protein expression by inhibiting translation of expressed mRNAs. Targeting by one or more miRs of multiple mRNA transcripts encoding proteins with common functions confers nodal control over cardiac development and stress response. Dynamic coregulation of miRs and their mRNA targets has complicated understanding their biology but also provides opportunities for clinical diagnostics and therapeutics. Here, the biology of miRs is reviewed as it relates to the cardiac system, recent findings are described that illuminate miR control of cardiac development and myofiber identity, and the clinical ramifications of miR expression profiling are illustrated.

An alternative mode of microRNA target recognition

MicroRNAs (miRNAs) regulate mRNA targets through perfect pairing with their seed region (position 2-7). Recently, a precise genome-wide map of miRNA interaction sites in mouse brain was generated by high-throughput sequencing of clusters of ~50 nucleotide RNA tags associated with Argonaute (Ago HITS-CLIP). By analyzing Ago HITS-CLIP “orphan clusters” – Ago binding regions from HITS-CLIP that cannot be explained by canonical seed matches – we have identified an alternative binding mode used by miRNAs. Specifically, G-bulge sites (position 5-6) are often bound and regulated by miR-124 in brain. More generally, bulged sites comprise ≥ 15% (≥ 1441 sites) of all Ago-miRNA interactions in mouse brain and are evolutionally conserved. We have termed position 6 the “pivot” nucleotide and suggest a model in which a transitional “nucleation-bulge” leads to functional bulge mRNA-miRNA interactions, expanding the number of potential miRNA regulatory sites.

Neurophysiological defects and neuronal gene deregulation in Drosophila mir-124 mutants

miR-124 is conserved in sequence and neuronal expression across the animal kingdom and is predicted to have hundreds of mRNA targets. Diverse defects in neural development and function were reported from miR-124 antisense studies in vertebrates, but a nematode knockout of mir-124 surprisingly lacked detectable phenotypes. To provide genetic insight from Drosophila, we deleted its single mir-124 locus and found that it is dispensable for gross aspects of neural specification and differentiation. On the other hand, we detected a variety of mutant phenotypes that were rescuable by a mir-124 genomic transgene, including short lifespan, increased dendrite variation, impaired larval locomotion, and aberrant synaptic release at the NMJ. These phenotypes reflect extensive requirements of miR-124 even under optimal culture conditions. Comparison of the transcriptomes of cells from wild-type and mir-124 mutant animals, purified on the basis of mir-124 promoter activity, revealed broad upregulation of direct miR-124 targets. However, in contrast to the proposed mutual exclusion model for miR-124 function, its functional targets were relatively highly expressed in miR-124–expressing cells and were not enriched in genes annotated with epidermal expression. A notable aspect of the direct miR-124 network was coordinate targeting of five positive components in the retrograde BMP signaling pathway, whose activation in neurons increases synaptic release at the NMJ, similar to mir-124 mutants. Derepression of the direct miR-124 target network also had many secondary effects, including over-activity of other post-transcriptional repressors and a net incomplete transition from a neuroblast to a neuronal gene expression signature. Altogether, these studies demonstrate complex consequences of miR-124 loss on neural gene expression and neurophysiology.

microRNAs are abundant ∼22 nucleotide RNAs inferred to mediate pervasive post-transcriptional control of most genes. Still, relatively little is understood about their endogenous requirements and impact, especially in animal systems. We analyzed a knockout of Drosophila mir-124, which is conserved in sequence and neuronal expression across the animal kingdom, and predicted to have hundreds of mRNA targets. While dispensable for gross neural specification and differentiation, deletion of mir-124 caused short lifespan, increased variation in dendrite numbers, impaired larval locomotion, and aberrant synaptic release at the NMJ. These phenotypes reflect extensive requirements of miR-124 even under optimal culture conditions. Loss of miR-124 broadly upregulated its direct targets but did not support the proposed mutual exclusion model, as its functional target genes were relatively highly expressed in neurons. One notable aspect of the direct miR-124 network was coordinate targeting of five positive components in the retrograde BMP signaling pathway, whose activation in neurons phenocopies loss of miR-124. Derepression of the direct miR-124 target network had many secondary effects, including over-activity of other post-transcriptional repressors and impaired transition from neuroblast to neuronal transcriptome signatures. Altogether, we demonstrate complex requirements for this conserved miRNA on gene expression and neurophysiology.

A functional assay for microRNA target identification and validation

MicroRNAs (miRNA) are a class of small RNA molecules that regulate numerous critical cellular processes and bind to partially complementary sequences resulting in down-regulation of their target genes. Due to the incomplete homology of the miRNA to its target site identification of miRNA target genes is difficult and currently based on computational algorithms predicting large numbers of potential targets for a given miRNA. To enable the identification of biologically relevant miRNA targets, we describe a novel functional assay based on a 3′-UTR-enriched library and a positive/negative selection strategy. As proof of principle we have used mir-130a and its validated target MAFB to test this strategy. Identification of MAFB and five additional targets and their subsequent confirmation as mir-130a targets by western blot analysis and knockdown experiments validates this strategy for the functional identification of miRNA targets.

An introduction to small non-coding RNAs: miRNA and snoRNA

Research into small non-coding RNAs (ncRNA) has fundamentally transformed our understanding of gene regulatory networks, especially at the post-transcriptional level. Although much is now known about the basic biology of small ncRNAs, our ability to recognize the impact of small ncRNA in disease states is preliminary, and the ability to effectively target them in vivo is very limited. However, given the larger and growing focus on targeting RNAs for disease therapeutics, what we do know about the intrinsic biology of these small RNAs makes them potentially attractive targets for pharmacologic manipulation. With that in mind, this review provides an introduction to the biology of small ncRNA, using microRNA (miRNA) and small nucleolar RNA (snoRNA) as examples.

Advances in microRNA experimental approaches to study physiological regulation of gene products implicated in CNS disorders

The central nervous system (CNS) is a remarkably complex organ system, requiring an equally complex network of molecular pathways controlling the multitude of diverse, cellular activities. Gene expression is a critical node at which regulatory control of molecular networks is implemented. As such, elucidating the various mechanisms employed in the physiological regulation of gene expression in the CNS is important both for establishing a reference for comparison to the diseased state and for expanding the set of validated drug targets available for disease intervention. MicroRNAs (miRNAs) are an abundant class of small RNA that mediates potent inhibitory effects on global gene expression. Recent advances have been made in methods employed to study the contribution of these miRNAs to gene expression. Here we review these latest advances and present a methodological workflow from the perspective of an investigator studying the physiological regulation of a gene of interest. We discuss methods for identifying putative miRNA target sites in a transcript of interest, strategies for validating predicted target sites, assays for detecting miRNA expression, and approaches for disrupting endogenous miRNA function. We consider both advantages and limitations, highlighting certain caveats that inform the suitability of a given method for a specific application. Through careful implementation of the appropriate methodologies discussed herein, we are optimistic that important discoveries related to miRNA participation in CNS physiology and dysfunction are on the horizon.

Human pluripotent stem cells for modeling toxicity

The development of xenobiotics, driven by the demand for therapeutic, domestic and industrial uses continues to grow. However, along with this increasing demand is the risk of xenobiotic-induced toxicity. Currently, safety screening of xenobiotics uses a plethora of animal and in vitro model systems which have over the decades proven useful during compound development and for application in mechanistic studies of xenobiotic-induced toxicity. However, these assessments have proven to be animal-intensive and costly. More importantly, the prevalence of xenobiotic-induced toxicity is still significantly high, causing patient morbidity and mortality, and a costly impediment during drug development. This suggests that the current models for drug safety screening are not reliable in toxicity prediction, and the results not easily translatable to the clinic due to insensitive assays that do not recapitulate fully the complex phenotype of a functional cell type in vivo. Recent advances in the field of stem cell research have potentially allowed for a readily available source of metabolically competent cells for toxicity studies, derived using human pluripotent stem cells harnessed from embryos or reprogrammed from mature somatic cells. Pluripotent stem cell-derived cell types also allow for potential disease modeling in vitro for the purposes of drug toxicology and safety pharmacology, making this model possibly more predictive of drug toxicity compared with existing models. This article will review the advances and challenges of using human pluripotent stem cells for modeling metabolism and toxicity, and offer some perspectives as to where its future may lie.

Use of target protector morpholinos to analyze the physiological roles of specific miRNA-mRNA pairs in vivo

MicroRNAs (miRNAs) regulate gene expression by pairing with complementary sequences in the 3' untranslated regions (UTRs) of transcripts. Although the molecular mechanism underlying miRNA biogenesis and activity is becoming better understood, determining the physiological role of the interaction of an miRNA with its target remains a challenge. A number of methods have been developed to inhibit individual miRNAs, but it can be difficult to determine which specific targets are responsible for any observed phenotypes. To address this problem, we use target protector (TP) morpholinos that interfere with a single miRNA-mRNA pair by binding specifically to the miRNA target sequence in the 3' UTR. In this protocol, we detail the steps for identifying miRNA targets, validating their regulation and using TPs to interrogate their function in zebrafish. Depending on the biological context, this set of experiments can be completed in 6-8 weeks.

miR-124 function during Ciona intestinalis neuronal development includes extensive interaction with the Notch signaling pathway

The nervous system-enriched microRNA miR-124 is necessary for proper nervous system development, although the mechanism remains poorly understood. Here, through a comprehensive analysis of miR-124 and its gene targets, we demonstrate that, in the chordate ascidian Ciona intestinalis, miR-124 plays an extensive role in promoting nervous system development. We discovered that feedback interaction between miR-124 and Notch signaling regulates the epidermal-peripheral nervous system (PNS) fate choice in tail midline cells. Notch signaling silences miR-124 in epidermal midline cells, whereas in PNS midline cells miR-124 silences Notch, Neuralized and all three Ciona Hairy/Enhancer-of-Split genes. Furthermore, ectopic expression of miR-124 is sufficient to convert epidermal midline cells into PNS neurons, consistent with a role in modulating Notch signaling. More broadly, genome-wide target extraction with validation using an in vivo tissue-specific sensor assay indicates that miR-124 shapes neuronal progenitor fields by downregulating non-neural genes, notably the muscle specifier Macho-1 and 50 Brachyury-regulated notochord genes, as well as several anti-neural factors including SCP1 and PTBP1. 3′UTR conservation analysis reveals that miR-124 targeting of SCP1 is likely to have arisen as a shared, derived trait in the vertebrate/tunicate ancestor and targeting of PTBP1 is conserved among bilaterians except for ecdysozoans, while extensive Notch pathway targeting appears to be Ciona specific. Altogether, our results provide a comprehensive insight into the specific mechanisms by which miR-124 promotes neuronal development.

A Potential of microRNAs for High-Content Screening

In the last years miRNAs have increasingly been recognised as potent posttranscriptional regulators of gene expression. Possibly, miRNAs exert their action on virtually any biological process by simultaneous regulation of numerous genes. The importance of miRNA-based regulation in health and disease has inspired research to investigate diverse aspects of miRNA origin, biogenesis, and function. Despite the recent rapid accumulation of experimental data, and the emergence of functional models, the complexity of miRNA-based regulation is still far from being well understood. In particular, we lack comprehensive knowledge as to which cellular processes are regulated by which miRNAs, and, furthermore, how temporal and spatial interactions of miRNAs to their targets occur. Results from large-scale functional analyses have immense potential to address these questions. In this review, we discuss the latest progress in application of high-content and high-throughput functional analysis for the systematic elucidation of the biological roles of miRNAs.

Functional characterization of the dendritically localized mRNA neuronatin in hippocampal neurons

Local translation of dendritic mRNAs plays an important role in neuronal development and synaptic plasticity. Although several hundred putative dendritic transcripts have been identified in the hippocampus, relatively few have been verified by in situ hybridization and thus remain uncharacterized. One such transcript encodes the protein neuronatin. Neuronatin has been shown to regulate calcium levels in non-neuronal cells such as pancreatic or embryonic stem cells, but its function in mature neurons remains unclear. Here we report that neuronatin is translated in hippocampal dendrites in response to blockade of action potentials and NMDA-receptor dependent synaptic transmission by TTX and APV. Our study also reveals that neuronatin can adjust dendritic calcium levels by regulating intracellular calcium storage. We propose that neuronatin may impact synaptic plasticity by modulating dendritic calcium levels during homeostatic plasticity, thereby potentially regulating neuronal excitability, receptor trafficking, and calcium dependent signaling.

microRNAs in the regulation of adipogenesis and obesity

Worldwide obesity is a growing health problem, associated with increased risk of chronic disease. Understanding the molecular basis of adipogenesis and fat cell development in obesity is essential to identify new biomarkers and therapeutic targets for the development of anti-obesity drugs. microRNAs (miRNAs) appear to play regulatory roles in many biological processes associated with obesity, including adipocyte differentiation, insulin action and fat metabolism. Recent studies show miRNAs are dysregulated in obese adipose tissue. During adipogenesis miRNAs can accelerate or inhibit adipocyte differentiation and hence regulate fat cell development. In addition miRNAs may regulate adipogenic lineage commitment in multipotent stem cells and hence govern fat cell numbers. Recent findings suggest miR-519d may be associated with human obesity, but larger case-control studies are needed. Few miRNA targets have been experimentally validated in adipocytes but interestingly both miR-27 and miR-519d target PPAR family members, which are well established regulators of fat cell development. In this review recent advances in our understanding of the role of miRNAs in fat cell development and obesity are discussed. The potential of miRNA based therapeutics targeting obesity is highlighted as well as recommendations for future research which could lead to a breakthrough in the treatment of obesity.

CAMTA1 is a novel tumour suppressor regulated by miR-9/9* in glioblastoma stem cells

Cancer stem cells or cancer initiating cells are believed to contribute to cancer recurrence after therapy. MicroRNAs (miRNAs) are short RNA molecules with fundamental roles in gene regulation. The role of miRNAs in cancer stem cells is only poorly understood. Here, we report miRNA expression profiles of glioblastoma stem cell-containing CD133(+) cell populations. We find that miR-9, miR-9(*) (referred to as miR-9/9(*)), miR-17 and miR-106b are highly abundant in CD133(+) cells. Furthermore, inhibition of miR-9/9(*) or miR-17 leads to reduced neurosphere formation and stimulates cell differentiation. Calmodulin-binding transcription activator 1 (CAMTA1) is a putative transcription factor, which induces the expression of the anti-proliferative cardiac hormone natriuretic peptide A (NPPA). We identify CAMTA1 as an miR-9/9(*) and miR-17 target. CAMTA1 expression leads to reduced neurosphere formation and tumour growth in nude mice, suggesting that CAMTA1 can function as tumour suppressor. Consistently, CAMTA1 and NPPA expression correlate with patient survival. Our findings could provide a basis for novel strategies of glioblastoma therapy.

MicroRNA-restricted transgene expression in the retina

Background

Gene transfer using adeno-associated viral (AAV) vectors has been successfully applied in the retina for the treatment of inherited retinal dystrophies. Recently, microRNAs have been exploited to fine-tune transgene expression improving therapeutic outcomes. Here we evaluated the ability of retinal-expressed microRNAs to restrict AAV-mediated transgene expression to specific retinal cell types that represent the main targets of common inherited blinding conditions.

Methodology/Principal Findings

To this end, we generated AAV2/5 vectors expressing EGFP and containing four tandem copies of miR-124 or miR-204 complementary sequences in the 3′UTR of the transgene expression cassette. These vectors were administered subretinally to adult C57BL/6 mice and Large White pigs. Our results demonstrate that miR-124 and miR-204 target sequences can efficiently restrict AAV2/5-mediated transgene expression to retinal pigment epithelium and photoreceptors, respectively, in mice and pigs. Interestingly, transgene restriction was observed at low vector doses relevant to therapy.

Conclusions

We conclude that microRNA-mediated regulation of transgene expression can be applied in the retina to either restrict to a specific cell type the robust expression obtained using ubiquitous promoters or to provide an additional layer of gene expression regulation when using cell-specific promoters.

MicroRNA Gene Networks in Oncogenesis

MicroRNAs are small non-coding RNAs that regulate gene expression at the transcriptional or posttranscriptional level. They are involved in cellular development, differentiation, proliferation and apoptosis and play a significant role in cancer. Examination of tumor-specific microRNA expression profiles has revealed widespread deregulation of these molecules in diverse cancers. Several studies have shown that microRNAs function either as tumor suppressor genes or oncogenes, whose loss or overexpression respectively has diagnostic and prognostic significance. It seems that microRNAs act as major regulators of gene expression. In this review, we discuss microRNAs’ role in cancer and how microRNAs exert their functions through regulation of their gene targets. Bioinformatic analysis of putative miRNA binding sites has indicated several novel potential gene targets involved in apoptosis, angiogenesis and metastatic mechanisms. Matching computational prediction analysis together with microarray data seems the best method for microRNA gene target identification. MicroRNAs together with transcription factors generate a complex combinatorial code regulating gene expression. Thus, manipulation of microRNA-transcription factor gene networks may be provides a novel approach for developing cancer therapies.

Survey of Computational Algorithms for MicroRNA Target Prediction

MicroRNAs (miRNAs) are 19 to 25 nucleotides non-coding RNAs known to possess important post-transcriptional regulatory functions. Identifying targeting genes that miRNAs regulate are important for understanding their specific biological functions. Usually, miRNAs down-regulate target genes through binding to the complementary sites in the 3' untranslated region (UTR) of the targets. In part, due to the large number of miRNAs and potential targets, an experimental based prediction design would be extremely laborious and economically unfavorable. However, since the bindings of the animal miRNAs are not a perfect one-to-one match with the complementary sites of their targets, it is difficult to predict targets of animal miRNAs by accessing their alignment to the 3' UTRs of potential targets. Consequently, sophisticated computational approaches for miRNA target prediction are being considered as essential methods in miRNA research.

We surveyed most of the current computational miRNA target prediction algorithms in this paper. Particularly, we provided a mathematical definition and formulated the problem of target prediction under the framework of statistical classification. Moreover, we summarized the features of miRNA-target pairs in target prediction approaches and discussed these approaches according to two categories, which are the rule-based and the data-driven approaches. The rule-based approach derives the classifier mainly on biological prior knowledge and important observations from biological experiments, whereas the data driven approach builds statistic models using the training data and makes predictions based on the models. Finally, we tested a few different algorithms on a set of experimentally validated true miRNA-target pairs [1] and a set of false miRNA-target pairs, derived from miRNA overexpression experiment [2]. Receiver Operating Characteristic (ROC) curves were drawn to show the performances of these algorithms.

Specific sequence determinants of miR-15/107 microRNA gene group targets

MicroRNAs (miRNAs) target mRNAs in human cells via complex mechanisms that are still incompletely understood. Using anti-Argonaute (anti-AGO) antibody co-immunoprecipitation, followed by microarray analyses and downstream bioinformatics, 'RIP-Chip' experiments enable direct analyses of miRNA targets. RIP-Chip studies (and parallel assessments of total input mRNA) were performed in cultured H4 cells after transfection with miRNAs corresponding to the miR-15/107 gene group (miR-103, miR-107, miR-16 and miR-195), and five control miRNAs. Three biological replicates were run for each condition with a total of 54 separate human Affymetrix Human Gene 1.0 ST array replicates. Computational analyses queried for determinants of miRNA:mRNA binding. The analyses support four major findings: (i) RIP-Chip studies correlated with total input mRNA profiling provides more comprehensive information than using either RIP-Chip or total mRNA profiling alone after miRNA transfections; (ii) new data confirm that miR-107 paralogs target coding sequence (CDS) of mRNA; (iii) biochemical and computational studies indicate that the 3' portion of miRNAs plays a role in guiding miR-103/7 to the CDS of targets; and (iv) there are major sequence-specific targeting differences between miRNAs in terms of CDS versus 3'-untranslated region targeting, and stable AGO association versus mRNA knockdown. Future studies should take this important miRNA-to-miRNA variability into account.

Systems Biology Reveals MicroRNA-Mediated Gene Regulation

MicroRNAs (miRNAs) are members of the small non-coding RNAs, which are principally known for their functions as post-transcriptional regulators of target genes. Regulation by miRNAs is triggered by the translational repression or degradation of their complementary target messenger RNAs (mRNAs). The growing number of reported miRNAs and the estimate that hundreds or thousands of genes are regulated by them suggest a magnificent gene regulatory network in which these molecules are embedded. Indeed, recent reports have suggested critical roles for miRNAs in various biological functions, such as cell differentiation, development, oncogenesis, and the immune responses, which are mediated by systems-wide changes in gene expression profiles. Therefore, it is essential to analyze this complex regulatory network at the transcriptome and proteome levels, which should be possible with approaches that include both high-throughput experiments and computational methodologies. Here, we introduce several systems-level approaches that have been applied to miRNA research, and discuss their potential to reveal miRNA-guided gene regulatory systems and their impacts on biological functions.

Comprehensive identification of miRNA target sites in live animals

MicroRNAs (miRNAs) are small RNA molecules that posttranscriptionally regulate the expression of protein-coding genes. The mature miRNAs are loaded into Argonaute-containing protein complexes (miRISC, miRNA Induced S  ilencing Complex), and guide these complexes to the 3' UTR of targeted mRNA transcripts via base-pairing interactions. However, the imperfect complementarity that characterizes the interactions between animal miRNAs and target sites complicates the identification of direct target genes. We developed a biochemical method to identify on a large scale the target sequences recognized by miRISC in vivo. The mRNA sites bound by miRISC are stabilized by cross-linking and isolated by immunoprecipitation of Argonaute-containing complexes. The bound RNA molecules are trimmed to the regions protected by Argonaute, subjected to a series of isolation and linker ligation steps and identified by high-throughput sequencing methods.

Systems biology in immunology: a computational modeling perspective

Systems biology is an emerging discipline that combines high-content, multiplexed measurements with informatic and computational modeling methods to better understand biological function at various scales. Here we present a detailed review of the methods used to create computational models and to conduct simulations of immune function. We provide descriptions of the key data-gathering techniques employed to generate the quantitative and qualitative data required for such modeling and simulation and summarize the progress to date in applying these tools and techniques to questions of immunological interest, including infectious disease. We include comments on what insights modeling can provide that complement information obtained from the more familiar experimental discovery methods used by most investigators and the reasons why quantitative methods are needed to eventually produce a better understanding of immune system operation in health and disease.

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.

Interactome networks and human disease

Complex biological systems and cellular networks may underlie most genotype to phenotype relationships. Here, we review basic concepts in network biology, discussing different types of interactome networks and the insights that can come from analyzing them. We elaborate on why interactome networks are important to consider in biology, how they can be mapped and integrated with each other, what global properties are starting to emerge from interactome network models, and how these properties may relate to human disease.

EBV-encoded miRNAs

The Epstein-Barr virus (EBV) is an oncogenic Herpes virus involved in the induction of a variety of human tumours. It was the first virus found to encode microRNAs (miRNAs). MiRNAs are short, non-coding RNAs that in most cases negatively regulate gene expression at the post-transcriptional level. EBV-transformed cells express at least 44 mature viral miRNAs that target viral and cellular genes. In addition, EBV-infection severely deregulates the miRNA profile of the host cell. The presently available information indicates that the virus uses its miRNAs to inhibit the apoptotic response of the infected cell as a means to establish a latent infection. Likewise, EBV-encoded miRNAs interfere in the expression of viral genes in order to mask the infected cell from the immune response. Cellular targets of viral miRNAs are involved in protein traffic within the cell and regulate innate immunity. MiRNA profiling of diffuse large B-cell lymphoma (DLBCL) and nasal NK/T-cell lymphoma (NKTL) showed that only 2% of the miRNAs are derived from the virus, while viral miRNAs comprise up to 20% of the total miRNA in nasopharyngeal carcinoma (NPC) and probably contribute to the formation or maintenance of NPC. The presence of viral miRNAs in exosomes raises the fascinating possibility that virus-infected cells regulate gene expression in the surrounding tissue to avert destruction by the immune system. This article is part of a Special Issue entitled: MicroRNAs in viral gene regulation.

Chondrocyte-specific microRNA-140 regulates endochondral bone development and targets Dnpep to modulate bone morphogenetic protein signaling

MicroRNAs (miRNAs) play critical roles in a variety of biological processes in diverse organisms, including mammals. In the mouse skeletal system, a global reduction of miRNAs in chondrocytes causes a lethal skeletal dysplasia. However, little is known about the physiological roles of individual miRNAs in chondrocytes. The miRNA-encoding gene, Mir140, is evolutionarily conserved among vertebrates and is abundantly and almost exclusively expressed in chondrocytes. In this paper, we show that loss of Mir140 in mice causes growth defects of endochondral bones, resulting in dwarfism and craniofacial deformities. Endochondral bone development is mildly advanced due to accelerated hypertrophic differentiation of chondrocytes in Mir140-null mice. Comparison of profiles of RNA associated with Argonaute 2 (Ago2) between wild-type and Mir140-null chondrocytes identified Dnpep as a Mir140 target. As expected, Dnpep expression was increased in Mir140-null chondrocytes. Dnpep overexpression showed a mild antagonistic effect on bone morphogenetic protein (BMP) signaling at a position downstream of Smad activation. Mir140-null chondrocytes showed lower-than-normal basal BMP signaling, which was reversed by Dnpep knockdown. These results demonstrate that Mir140 is essential for normal endochondral bone development and suggest that the reduced BMP signaling caused by Dnpep upregulation plays a causal role in the skeletal defects of Mir140-null mice.

Tumor suppressor miR-22 determines p53-dependent cellular fate through post-transcriptional regulation of p21

Selective activation of p53 target genes in response to various cellular stresses is a critical step in determining the ability to induce cell-cycle arrest or apoptosis. Here we report the identification of the microRNA miR-22 as a p53 target gene that selectively determines the induction of p53-dependent apoptosis by repressing p21. Combinatorial analyses of the AGO2 immunocomplex and gene expression profiles identified p21 as a direct target of miR-22. Induction of p21 was inhibited by miR-22 after exposure to the genotoxic agent Adriamycin (doxorubicin; Bedford Laboratories), sensitizing cells to p53-dependent apoptosis. Interestingly, the activation of miR-22 depended on the intensity of the stresses that induced cells to undergo apoptosis in the presence of p21 suppression. Our findings define an intrinsic molecular switch that determines p53-dependent cellular fate through post-transcriptional regulation of p21.

Identification of microRNA target genes in vivo

MicroRNAs (miRNAs) are short non-coding RNAs transcribed from intergenic or intronic sequences as long precursors that are sequentially processed by the endonucleases Drosha and Dicer into short double-stranded sequences. It is clear that miRNAs play essential roles in gene expression, development, and cell fate specification in animals. However, one of the barriers of miRNA research is how to find the target genes. In this study, we have developed a rapid and effective method to isolate miRNA target genes in vivo. MicroRNA was synthesized in vitro and labeled by biotin. After transfected into cells, the miRNA/mRNA complexes were isolated by streptavidin-coated magnetic beads. hsa-miR155 was taken as model to validate this method, which is a very important modulator in tumor development. It is useful for validation of targets predicted in silico, and, potentially, for discovery of previously uncharacterized targets.

MicroRNAs in cardiac disease

MicroRNAs (miRs) are transcriptionally regulated single-strand RNAs that depress protein expression through posttranscriptional mRNA silencing. A host of recent studies have established essential roles for miRs in cardiac development and cardiac health. Regulated myocardial miR expression is observed in a variety of cardiac syndromes, and serum miR levels are being evaluated as disease biomarkers. The manipulation of miR levels in mouse hearts using genetic techniques or engineered miR mimetics and antagonists is elucidating the roles of specific cardiac miRs in cardiac development, and in the cardiac response to injury or stress, and heart disease. The ability to target multiple factors within a single biological response pathway by a given miR has prompted the development of small miR-targeting molecules that can be readily delivered and have sustained in vivo effects. These advances establish a foundation for novel diagnostics and new therapeutic approaches for myocardial infarction, cardiac hypertrophy, and heart failure.

Circuitry of mRNA regulation

Some of the classical paradigms of gene regulation have been challenged by global-scale analysis of eukaryotic transcriptional and post-transcriptional gene regulation (PTGR), made possible by the development of genomics and proteomics tools. Post-transcriptional events in particular are increasingly being recognized as important sources of gene regulation. The hundreds of regulatory RNA-binding proteins that exist in eukaryotes may regulate dozens to hundreds of functionally related RNA targets. Likewise, the expression of considerable fractions of many eukaryotic genomes is affected by hundreds of non-coding RNAs, e.g., microRNAs. These findings suggest an enormous regulatory potential for PTGR that may affect virtually every message in a cell. All gene regulatory systems are composed of simple network circuits that coordinate the transfer of regulatory signals to a target gene/message.

Systematic analysis of posttranscriptional gene expression

Recent systems studies of gene expression have begun to dissect the layers of regulation that underlie the eukaryotic transcriptome, the combined consequence of transcriptional and posttranscriptional events. Among the regulatory layers of the transcriptome are those of the ribonome, a highly dynamic environment of ribonucleoproteins in which RNA-binding proteins (RBPs), noncoding regulatory RNAs (ncRNAs) and messenger RNAs (mRNAs) interact. While multiple mRNAs are coordinated together in groups within the ribonome of a eukaryotic cell, each individual type of mRNA consists of multiple copies, each of which has an opportunity to be a member of more than one modular group termed a posttranscriptional RNA operon or regulon (PTRO). The mRNAs associated with each PTRO encode functionally related proteins and are coordinated at the levels of RNA stability and translation by the actions of the specific RBPs and noncoding regulatory RNAs. This article examines the methods that led to the elucidation of PTROs and the coordinating mechanisms that appear to regulate the RNA components of PTROs. Moreover, the article considers the characteristics of the dynamic systems that drive PTROs and how mRNA components are bound collectively in physical 'states' to respond to cellular perturbations and diseases. In conclusion, these studies have challenged the extent to which cellular mRNA abundance can inform investigators of the functional status of a biological system. We argue that understanding the ribonome has greater potential for illuminating the underlying coordination principles of growth, differentiation, and disease.

Cancer and neurodegenerative disorders: pathogenic convergence through microRNA regulation

Although cancer and neurodegenerative disease are two distinct pathological disorders, emerging evidence indicates that these two types of disease share common mechanisms of genetic and molecular abnormalities. Recent studies show that individual microRNAs (miRNAs) could be involved in the pathology of both diseases, indicating that the mechanisms of these two seemingly dichotomous diseases converge in the dysregulation of gene expression at the post-transcriptional level. Given the increasing evidence showing that miRNA-based therapeutic strategies that modulate the activity of one or more miRNAs are potentially effective for a wide range of pathological conditions, the involvement of miRNAs in the common pathways of leading both diseases suggests a bright future for developing common therapeutic approaches for both diseases. Moreover, the miRNAs that are dysregulated in both diseases may hold promise as uniquely informative diagnostic markers. Here, we review recent studies on the miRNAs that have been implicated in both cancer and neurodegenerative diseases.

RISC RNA sequencing for context-specific identification of in vivo microRNA targets

RATIONALE

MicroRNAs (miRs) are expanding our understanding of cardiac disease and have the potential to transform cardiovascular therapeutics. One miR can target hundreds of individual mRNAs, but existing methodologies are not sufficient to accurately and comprehensively identify these mRNA targets in vivo.

OBJECTIVE

To develop methods permitting identification of in vivo miR targets in an unbiased manner, using massively parallel sequencing of mouse cardiac transcriptomes in combination with sequencing of mRNA associated with mouse cardiac RNA-induced silencing complexes (RISCs).

METHODS AND RESULTS

We optimized techniques for expression profiling small amounts of RNA without introducing amplification bias and applied this to anti-Argonaute 2 immunoprecipitated RISCs (RISC-Seq) from mouse hearts. By comparing RNA-sequencing results of cardiac RISC and transcriptome from the same individual hearts, we defined 1645 mRNAs consistently targeted to mouse cardiac RISCs. We used this approach in hearts overexpressing miRs from Myh6 promoter-driven precursors (programmed RISC-Seq) to identify 209 in vivo targets of miR-133a and 81 in vivo targets of miR-499. Consistent with the fact that miR-133a and miR-499 have widely differing "seed" sequences and belong to different miR families, only 6 targets were common to miR-133a- and miR-499-programmed hearts.

CONCLUSIONS

RISC-sequencing is a highly sensitive method for general RISC profiling and individual miR target identification in biological context and is applicable to any tissue and any disease state.

RNA-binding protein immunopurification-microarray (RIP-Chip) analysis to profile localized RNAs

Post-transcriptional gene regulation is largely mediated by RNA-binding proteins (RBPs) that modulate mRNA expression at multiple levels, from RNA processing to translation, localization, and degradation. Thereby, the genome-wide identification of mRNAs regulated by RBPs is crucial to uncover post--transcriptional gene regulatory networks. In this chapter, we provide a detailed protocol for one of the techniques that has been developed to systematically examine RNA targets for RBPs. This technique involves the purification of endogenously formed RBP-mRNA complexes with specific antibodies from cellular extracts, followed by the identification of associated RNAs using DNA microarrays. Such RNA-binding protein immunopurification-microarray profiling, also called RIP-Chip, has also been applied to identify mRNAs that are transported to distinct subcellular compartments by RNP-motor complexes. The application and further development of this method could provide global insights into the subcellular architecture of the RBP-RNA network, and how it is restructured upon changing environmental conditions, during development, and possibly in disease.

Experimental identification of microRNA targets by immunoprecipitation of Argonaute protein complexes

MicroRNAs (miRNAs) represent a class of small noncoding RNAs that negatively regulate gene expression-. Intensive research during the past decade has established miRNAs as key regulators of many cellular pathways. MiRNAs have also been implicated in a number of diseases including various forms of cancer. Mammalian miRNAs associate with members of the Argonaute (Ago) protein family and function in multi-protein complexes. MiRNAs guide Ago protein complexes to partially complementary sequences typically located in the 3' untranslated region (UTR) of their target mRNAs leading to the inhibition of its translation and/or its destabilization. To understand the biological roles of miRNAs, it is essential to identify the mRNA targets that they regulate. Because of the low degree of complementarity between the miRNA and its target sequence, it is often difficult to find targets computationally. Therefore, biochemical methods are needed to identify miRNA targets experimentally. The availability of highly specific monoclonal antibodies against Argonaute proteins allows for the isolation of functional Ago-miRNA-mRNA complexes from -different cell lines, tissues, or even patient samples. Here we provide a detailed protocol for isolation and identification of miRNA target mRNAs from immunoprecipitated human Ago protein complexes.

miRNAs in human cancer

Mature microRNAs (miRNAs) are single-stranded RNA molecules of 20-23 nucleotide (nt) length that control gene expression in many cellular processes. These molecules typically reduce the stability of mRNAs, including those of genes that mediate processes in tumorigenesis, such as inflammation, cell cycle regulation, stress response, differentiation, apoptosis and invasion. miRNA targeting is mostly achieved through specific base-pairing interactions between the 5' end ('seed' region) of the miRNA and sites within coding and untranslated regions (UTRs) of mRNAs; target sites in the 3' UTR lead to more effective mRNA destabilization. Since miRNAs frequently target hundreds of mRNAs, miRNA regulatory pathways are complex. To provide a critical overview of miRNA dysregulation in cancer, we first discuss the methods currently available for studying the role of miRNAs in cancer and then review miRNA genomic organization, biogenesis and mechanism of target recognition, examining how these processes are altered in tumorigenesis. Given the critical role miRNAs play in tumorigenesis processes and their disease-specific expression, they hold potential as therapeutic targets and novel biomarkers.

RIP-Chip analysis: RNA-Binding Protein Immunoprecipitation-Microarray (Chip) Profiling

Post-transcriptional regulation of gene expression plays an important role in complex cellular processes. Just like transcription factors regulate gene expression through combinatorial binding to multiple, physically dispersed cis elements, mRNA binding proteins can regulate the translation of functionally related gene products by coordinately binding to subsets of mRNAs. The networks of mRNA binding proteins that facilitate this fine-tuning of gene expression are poorly understood. By combining genomic technologies with standard molecular biology tools, we have helped pioneer the development of high-throughput technologies for the global analysis of subsets of mRNAs bound to RNA-binding proteins. This technique is termed RIP-Chip and stands for RNA-Binding Protein Immunoprecipitation-Microarray (Chip) Profiling. This approach is also referred to as "ribonomic profiling" and has revealed valuable information about the workings of mRNP networks in the cell and the regulation of gene expression. In this chapter, we describe the latest advances that we have made in the RIP-CHIP technology.

Small RNA discovery and characterisation in eukaryotes using high-throughput approaches

RNA silencing is a mechanism of genetic regulation that is mediated by short noncoding RNAs, or small RNAs (sRNAs). Regulatory interactions are established based on nucleotide sequence complementarity between the sRNAs and their targets. The development of new high-throughput sequencing technologies has accelerated the discovery of sRNAs in a variety of plants and animals. The use of these and other high-throughput technologies, such as microarrays, to measure RNA and protein concentrations of gene products potentially regulated by sRNAs has also been important for their functional characterisation. mRNAs targeted by sRNAs can produce new sRNAs or the protein encoded by the target mRNA can regulate other mRNAs. In either case the targeting sRNAs are parts of complex RNA networks therefore identifying and characterising sRNAs contribute to better understanding of RNA networks. In this chapter we will review RNA silencing, the different types of sRNAs that mediate it and the computational methods that have been developed to use high-throughput technologies in the study of sRNAs and their targets.