Structure of the human DICER-pre-miRNA complex in a dicing state.

Dicer has a key role in small RNA biogenesis, processing double-stranded RNAs (dsRNAs)1,2. Human DICER (hDICER, also known as DICER1) is specialized for cleaving small hairpin structures such as precursor microRNAs (pre-miRNAs) and has limited activity towards long dsRNAs-unlike its homologues in lower eukaryotes and plants, which cleave long dsRNAs. Although the mechanism by which long dsRNAs are cleaved has been well documented, our understanding of pre-miRNA processing is incomplete because structures of hDICER in a catalytic state are lacking. Here we report the cryo-electron microscopy structure of hDICER bound to pre-miRNA in a dicing state and uncover the structural basis of pre-miRNA processing. hDICER undergoes large conformational changes to attain the active state. The helicase domain becomes flexible, which allows the binding of pre-miRNA to the catalytic valley. The double-stranded RNA-binding domain relocates and anchors pre-miRNA in a specific position through both sequence-independent and sequence-specific recognition of the newly identified 'GYM motif'3. The DICER-specific PAZ helix is also reoriented to accommodate the RNA. Furthermore, our structure identifies a configuration of the 5' end of pre-miRNA inserted into a basic pocket. In this pocket, a group of arginine residues recognize the 5' terminal base (disfavouring guanine) and terminal monophosphate; this explains the specificity of hDICER and how it determines the cleavage site. We identify cancer-associated mutations in the 5' pocket residues that impair miRNA biogenesis. Our study reveals how hDICER recognizes pre-miRNAs with stringent specificity and enables a mechanistic understanding of hDICER-related diseases.

Intact RNA structurome reveals mRNA structure-mediated regulation of miRNA cleavage in vivo.

MicroRNA (miRNA)-mediated cleavage is involved in numerous essential cellular pathways. miRNAs recognize target RNAs via sequence complementarity. In addition to complementarity, in vitro and in silico studies have suggested that RNA structure may influence the accessibility of mRNAs to miRNA-induced silencing complexes (miRISCs), thereby affecting RNA silencing. However, the regulatory mechanism of mRNA structure in miRNA cleavage remains elusive. We investigated the role of in vivo RNA secondary structure in miRNA cleavage by developing the new CAP-STRUCTURE-seq method to capture the intact mRNA structurome in Arabidopsis thaliana. This approach revealed that miRNA target sites were not structurally accessible for miRISC binding prior to cleavage in vivo. Instead, we found that the unfolding of the target site structure plays a key role in miRISC activity in vivo. We found that the single-strandedness of the two nucleotides immediately downstream of the target site, named Target Adjacent nucleotide Motif, can promote miRNA cleavage but not miRNA binding, thus decoupling target site binding from cleavage. Our findings demonstrate that mRNA structure in vivo can modulate miRNA cleavage, providing evidence of mRNA structure-dependent regulation of biological processes.

Complex Conformational Dynamics of the Heart Failure-Associated Pre-miRNA-377 Hairpin Revealed by Single-Molecule Optical Tweezers.

Pre-miRNA-377 is a hairpin-shaped regulatory RNA associated with heart failure. Here, we use single-molecule optical tweezers to unzip pre-miRNA-377 and study its stability and dynamics. We show that magnesium ions have a strong stabilizing effect, and that sodium ions stabilize the hairpin more than potassium ions. The hairpin unfolds in a single step, regardless of buffer composition. Interestingly, hairpin folding occurs either in a single step (type 1) or through the formation of intermediates, in multiple steps (type 2) or gradually (type 3). Type 3 occurs only in the presence of both sodium and magnesium, while type 1 and 2 take place in all buffers, with type 1 being the most prevalent. By reducing the size of the native hairpin loop from fourteen to four nucleotides, we demonstrate that the folding heterogeneity originates from the large size of the hairpin loop. Further, while efficient pre-miRNA-377 binders are lacking, we demonstrate that the recently developed C2 ligand displays bimodal activity: it enhances the mechanical stability of the pre-miRNA-377 hairpin and perturbs its folding. The knowledge regarding pre-miRNA stability and dynamics that we provide is important in understanding its regulatory function and how it can be modulated to achieve a therapeutic effect, e.g., in heart failure treatment.

Impact of G-quadruplex loop conformation in the PITX1 mRNA on protein and small molecule interaction.

Intramolecular G-quadruplexes (G4s) are G-rich nucleic acid structures that fold back on themselves via interrupting loops to create stacked planar G-tetrads, in which four guanine bases associate via Hoogsteen hydrogen bonding. The G4 structure is further stabilized by monovalent cations centered between the stacked tetrads. The G-tetrad face on the top and bottom planes of G4s are often the site of interaction with proteins and small molecules. To investigate the potential impact of interrupting loops on both G4 structure and interaction with proteins/small molecules, we characterized a specific G4 from the 3'-UTR of PITX1 mRNA that contains loops of 6 nucleotides using biophysical approaches. We then introduced mutations to specific loops to determine the impact on G4 structure and the ability to interact with both proteins and a G4-specific ligand. Our results suggest that mutation of a specific loop both affects the global G4 structure and impacts the ability to interact with a G4 binding protein and small molecule ligand.

Markov State Models Reveal a Two-Step Mechanism of miRNA Loading into the Human Argonaute Protein: Selective Binding followed by Structural Re-arrangement.

Argonaute (Ago) proteins and microRNAs (miRNAs) are central components in RNA interference, which is a key cellular mechanism for sequence-specific gene silencing. Despite intensive studies, molecular mechanisms of how Ago recognizes miRNA remain largely elusive. In this study, we propose a two-step mechanism for this molecular recognition: selective binding followed by structural re-arrangement. Our model is based on the results of a combination of Markov State Models (MSMs), large-scale protein-RNA docking, and molecular dynamics (MD) simulations. Using MSMs, we identify an open state of apo human Ago-2 in fast equilibrium with partially open and closed states. Conformations in this open state are distinguished by their largely exposed binding grooves that can geometrically accommodate miRNA as indicated in our protein-RNA docking studies. miRNA may then selectively bind to these open conformations. Upon the initial binding, the complex may perform further structural re-arrangement as shown in our MD simulations and eventually reach the stable binary complex structure. Our results provide novel insights in Ago-miRNA recognition mechanisms and our methodology holds great potential to be widely applied in the studies of other important molecular recognition systems.

Visualising single molecules of HIV-1 and miRNA nucleic acids.

BACKGROUND: The scarcity of certain nucleic acid species and the small size of target sequences such as miRNA, impose a significant barrier to subcellular visualization and present a major challenge to cell biologists. Here, we offer a generic and highly sensitive visualization approach (oligo fluorescent in situ hybridization, O-FISH) that can be used to detect such nucleic acids using a single-oligonucleotide probe of 19-26 nucleotides in length. RESULTS: We used O-FISH to visualize miR146a in human and avian cells. Furthermore, we reveal the sensitivity of O-FISH detection by using a HIV-1 model system to show that as little as 1-2 copies of nucleic acids can be detected in a single cell. We were able to discern newly synthesized viral cDNA and, moreover, observed that certain HIV RNA sequences are only transiently available for O-FISH detection. CONCLUSIONS: Taken together, these results suggest that the O-FISH method can potentially be used for in situ probing of, as few as, 1-2 copies of nucleic acid and, additionally, to visualize small RNA such as miRNA. We further propose that the O-FISH method could be extended to understand viral function by probing newly transcribed viral intermediates; and discern the localisation of nucleic acids of interest. Additionally, interrogating the conformation and structure of a particular nucleic acid in situ might also be possible, based on the accessibility of a target sequence.

Genetic algorithm-based efficient feature selection for classification of pre-miRNAs.

In order to classify the real/pseudo human precursor microRNA (pre-miRNAs) hairpins with ab initio methods, numerous features are extracted from the primary sequence and second structure of pre-miRNAs. However, they include some redundant and useless features. It is essential to select the most representative feature subset; this contributes to improving the classification accuracy. We propose a novel feature selection method based on a genetic algorithm, according to the characteristics of human pre-miRNAs. The information gain of a feature, the feature conservation relative to stem parts of pre-miRNA, and the redundancy among features are all considered. Feature conservation was introduced for the first time. Experimental results were validated by cross-validation using datasets composed of human real/pseudo pre-miRNAs. Compared with microPred, our classifier miPredGA, achieved more reliable sensitivity and specificity. The accuracy was improved nearly 12%. The feature selection algorithm is useful for constructing more efficient classifiers for identification of real human pre-miRNAs from pseudo hairpins.

RNA structure-wide discovery of functional interactions with multiplexed RNA motif library.

Biochemical assays and computational analyses have discovered RNA structures throughout various transcripts. However, the roles of these structures are mostly unknown. Here we develop folded RNA element profiling with structure library (FOREST), a multiplexed affinity assay system to identify functional interactions from transcriptome-wide RNA structure datasets. We generate an RNA structure library by extracting validated or predicted RNA motifs from gene-annotated RNA regions. The RNA structure library with an affinity enrichment assay allows for the comprehensive identification of target-binding RNA sequences and structures in a high-throughput manner. As a proof-of-concept, FOREST discovers multiple RNA-protein interaction networks with quantitative scores, including translational regulatory elements that function in living cells. Moreover, FOREST reveals different binding landscapes of RNA G-quadruplex (rG4) structures-binding proteins and discovers rG4 structures in the terminal loops of precursor microRNAs. Overall, FOREST serves as a versatile platform to investigate RNA structure-function relationships on a large scale.

De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures.

MOTIVATION: MicroRNAs (miRNAs) are small ncRNAs participating in diverse cellular and physiological processes through the post-transcriptional gene regulatory pathway. Critically associated with the miRNAs biogenesis, the hairpin structure is a necessary feature for the computational classification of novel precursor miRNAs (pre-miRs). Though many of the abundant genomic inverted repeats (pseudo hairpins) can be filtered computationally, novel species-specific pre-miRs are likely to remain elusive. RESULTS: miPred is a de novo Support Vector Machine (SVM) classifier for identifying pre-miRs without relying on phylogenetic conservation. To achieve significantly higher sensitivity and specificity than existing (quasi) de novo predictors, it employs a Gaussian Radial Basis Function kernel (RBF) as a similarity measure for 29 global and intrinsic hairpin folding attributes. They characterize a pre-miR at the dinucleotide sequence, hairpin folding, non-linear statistical thermodynamics and topological levels. Trained on 200 human pre-miRs and 400 pseudo hairpins, miPred achieves 93.50% (5-fold cross-validation accuracy) and 0.9833 (ROC score). Tested on the remaining 123 human pre-miRs and 246 pseudo hairpins, it reports 84.55% (sensitivity), 97.97% (specificity) and 93.50% (accuracy). Validated onto 1918 pre-miRs across 40 non-human species and 3836 pseudo hairpins, it yields 87.65% (92.08%), 97.75% (97.42%) and 94.38% (95.64%) for the mean (overall) sensitivity, specificity and accuracy. Notably, A.mellifera, A.geoffroyi, C.familiaris, E.Barr, H. Simplex virus, H.cytomegalovirus, O.aries, P.patens, R.lymphocryptovirus, Simian virus and Z.mays are unambiguously classified with 100.00% (sensitivity) and >93.75% (specificity). AVAILABILITY: Data sets, raw statistical results and source codes are available at http://web.bii.a-star.edu.sg/~stanley/Publications

Upregulated Expression of Serum Exosomal microRNAs as Diagnostic Biomarkers of Lung Adenocarcinoma.

Lung cancer is the leading cause of cancer-related death worldwide. Lung adenocarcinoma (AC) cases account for approximately 40% of lung cancers. Early diagnosis can reduce mortality, improve prognosis, prolong survival, and improve quality of life. Specific and stable biomarkers for early diagnosis of AC are still lacking. Exosomal miRNAs are enriched in the circulatory system and are remarkably stable compared to extracellular miRNAs because exosomes protect them from RNase degradation. In our study, we isolated serum exosomal miRNAs from AC patients and from healthy controls to find highly stable and sensitive biomarkers for early detection of AC. 23 AC patients and 16 healthy controls were included in this study. After microRNA (miR) extraction from serum exosomes (ex-miR), the expression of ex-miRs in cases and controls was quantified by quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR). Overexpression of serum ex-miR-21-5p, -126-3p, and -140-5p was observed in AC patients. Area under the curve values for selected candidate ex-miRs were 0.97(95% confidence interval [CI], 0.846-0.99) for ex-miR-21-5p, 0.91(95% CI, 0.77-0.98) for ex-miR-126-3p, and 0.88 (95% CI, 0.73-0.97) for ex-miR-140-5p. Conclusion: Serums ex-miR-21-5p, -126-3p, and -140-5p have great potential to serve as highly sensitive, stable, and repeatable biomarkers for early diagnosis of AC. However, larger cohort studies are necessary to validate these results.

A mutation in porcine pre-miR-15b alters the biogenesis of MiR-15b\16-1 cluster and strand selection of MiR-15b.

MicroRNAs (miRNAs) are small non-coding RNAs that are involved in translational regulation of the messenger RNA molecules. Sequence variations in the genes encoding miRNAs could influence their biogenesis and function. MiR-15b plays an important role in cellular proliferation, apoptosis and the cell cycle. Here, we report the identification of a C58T mutation in porcine pre-miR-15b. Through in vitro and in vivo experiments, we determined that this mutation blocks the transition from pri-miRNA to pre-miRNA, alters the strand selection between miR-15b-5p and miR-15b-3p, and obstructs biogenesis of the downstream miR-16-1. These results serve to highlight the importance of miRNA mutations and their impacts on miRNA biogenesis.

Autonomous assembly of ordered metastable DNA nanoarchitecture and in situ visualizing of intracellular microRNAs.

Facile assembly of intelligent DNA nanoobjects with the ability to exert in situ visualization of intracellular microRNAs (miRNAs) has long been concerned in the fields of DNA nanotechnology and basic medical study. Here, we present a driving primer (DP)-triggered polymerization-mediated metastable assembly (PMA) strategy to prepare a well-ordered metastable DNA nanoarchitecture composed of only two hairpin probes (HAPs), which has never been explored by assembly methods. Its structural features and functions are characterized by atomic force microscope (AFM) and gel electrophoresis. Even if with a metastable molecular structure, this nanoarchitecture is relatively stable at physiological temperature. The assembly strategy can be expanded to execute microRNA-21 (miRNA-21) in situ imaging inside cancer cells by labelling one of the HAPs with fluorophore and quencher. Compared with the conventional fluorescence probe-based in situ hybridization (FISH) technique, confocal images revealed that the proposed DNA nanoassembly can not only achieve greatly enhanced imaging effect within cancer cells, but also reflect the miRNA-21 expression level sensitively. We believe that the easily constructed DNA nanoarchitecture and in situ profiling strategy are significant progresses in DNA assembly and molecule imaging in cells.

[Genetic variants in miRNAs and its association with breast cancer]. / Variantes genéticas en miRNAs y su asociación con el cáncer de mama.

BACKGROUND: In Mexico, breast cancer represents the first cause of cancer death in females. At the molecular level, non-coding RNAs and especially microRNAs have played an important role in the origin and development of this neoplasm In the Anglo-Saxon population, diverse genetic variants in microRNA genes and in their targets are associated with the development of this disease. In the Mexican population it is not known if these or other variants exist. Identification of these or new variants in our population is fundamental in order to have a better understanding of cancer development and to help establish a better diagnostic strategy. METHODS: DNA was isolated from mammary tumors, adjacent tissue and peripheral blood of Mexican females with or without cancer. From DNA, five microRNA genes and three of their targets were amplified and sequenced. Genetic variants associated with breast cancer in an Anglo- Saxon population have been previously identified in these sequences. RESULTS: In the samples studied we identified seven single nucleotide polymorphisms (SNPs). Two had not been previously described and were identified only in women with cancer. CONCLUSION: The new variants may be genetic predisposition factors for the development of breast cancer in our population. Further experiments are needed to determine the involvement of these variants in the development, establishment and progression of breast cancer.

Antecedentes: en México, el cáncer de mama es la primera causa de muerte por cáncer en la mujer. A nivel molecular, los RNAs no codificantes y, en particular, los microRNAs, han tomado un papel importante en el origen y crecimiento de esta neoplasia. En población anglosajona se han reportado diversas variantes genéticas en los genes que codifican los microRNAs y en sus blancos, que se asocian con esta enfermedad. En la población mexicana se desconoce la existencia de estas u otras variantes; por eso su identificación en nuestra población es decisiva para comprender mejor la patogénesis del cáncer y contribuir a establecer una mejor estrategia diagnóstica. Objetivo: buscar y analizar variantes genéticas de tipo SNPs en cinco genes que codifican microRNAs y en tres sitios blancos de estos relacionados con predisposición al cáncer de mama, de mujeres mexicanas con o sin esta neoplasia. Material y métodos: estudio retrospectivo y longitudinal en el que se aisló ADN de tumores mamarios, tejido adyacente al tumor y sangre periférica de mujeres mexicanas con o sin cáncer. A partir del ADN se amplificaron y secuenciaron cinco genes de microRNAs y tres sitios blanco de estos en los que se han reportado variantes genéticas asociadas con el cáncer de mama en población anglosajona. Resultados: en las muestras estudiadas se identificaron siete polimorfismos de un solo nucleótido (SNPs). Dos son variantes no descritas que se encontraron sólo en mujeres con cáncer. Conclusión: las nuevas variantes identificadas pueden ser factores de predisposición genética para cáncer de mama en nuestra población. Para conocer cuál es la participación de estas variantes en el desarrollo, establecimiento y progresión del cáncer de mama se necesita experimentar más.

Mechanisms generating bistability and oscillations in microRNA-mediated motifs.

The importance of post-transcriptional regulation by microRNAs (miRNAs) has recently been recognized in almost all cellular processes. When participating in cellular processes, miRNAs mainly mediate mRNA degradation or translational repression. Recently computational and experimental studies have identified an abundance of motifs involving miRNAs and transcriptional factors (TFs). The simplest motif is a two-node miRNA-mediated feedback loop (MFL) in which a TF regulates an miRNA and the TF itself is negatively regulated by the miRNA. In this paper we present a general computational model for the MFL based on biochemical regulations and explore its dynamics by using bifurcation analysis. Our results show that the MFL can behave either as switches or as oscillators, depending on the TF as a repressor or an activator. These functional features are consistent with the widespread appearance of miRNAs in fate decisions such as proliferation, differentiation, and apoptosis during development. We found that under the interplay of a TF and an miRNA, the MFL model can behave as switches for wide ranges of parameters even without cooperative binding of the TF. In addition, oscillations induced by the miRNA in the MFL model require neither an additional positive feedback loop, nor self-activation of the gene, nor cooperative binding of the TF, nor saturated degradation. Therefore, the MFL may provide a general network structure to induce bistability or oscillations. It is hoped that the results presented here will provide a new view on how gene expression is regulated by miRNAs and further guidance for experiments. Moreover, the insight gained from this study is also expected to provide a basis for the investigation of more complex networks assembled by simple building blocks.

MicroRNA-503 and the extended microRNA-16 family in angiogenesis.

MicroRNAs (miRs) are post-transcriptional inhibitory regulators of gene expression acting by direct binding to complementary messenger RNA (mRNA) transcripts. Recent studies have demonstrated that miRs are crucial determinants of endothelial cell behavior and angiogenesis. We have provided evidence of the prominent role of miR-503 in impairment of postischemic reparative angiogenesis in the setting of diabetes. Because miR-503 belongs to the miR-16 extended family of miRs, in this review, we describe the cardiovascular functions of miR-503 and other members of the miR-16 family and their impact on angiogenesis.

Quantificação de diferentes microRNAs no sistema nervoso central: implicações nos mecanismos de desenvolvimento e processos fisiopatologicos / Quantification of microRNAs in the central nervoussystem: implications

MicroRNAs são moléculas recém-descobertas de RNA não-codificadores que possuem de 21 a 24 nucleotídeos e que regulam a expressão após a transcrição dos genes alvo. Essa regulação pode ser realizada através da inibição da tradução ou da degradação do RNA mensageiro. Os miRNAs estão envolvidos em vários processo biológicos como, diferenciação celular e desenvolvimento embrionário, além de apresentarem expressão tecido e tempo-específica. Eles podem regular a expressão de pelo menos 1/3 de todos os genes humanos e estão envolvidos com a regulação do metabolismo e da apoptose. Os miRNAs são a chave como reguladores pós-transcricionais da neurogênese; estudos mostram que eles possuem a expressão associada com a transição entre proliferação e diferenciação e também tem expressão constitutiva em neurônios maduros, evidenciando o envolvimento dessas moléculas com o desenvolvimento do sistema nervoso central (SNC). Outros miRNAs estão sendo estudados e verifica-se que eles agem como reguladores de genes envolvidos em doenças como Alzheimer, Parkinson e, provavelmente, também devam possuir um papel na regulação das epilepsias. No primeiro trabalho, apresentado no segundo capítulo, investigamos o papel dos miRNAs no desenvolvimento do SNC através da quantificação de 104 miRNAs em cérebros em desenvolvimento de camundongos. No segundo trabalho, apresentado no terceiro capítulo, para analisarmos o papel dos miRNAs na epilepsia de lobo temporal, verificamos se havia presença de miRNAs com expressão diferenciada entre tecidos removidos de pacientes que se submeteram a cirurgia de hipocampectomia e tecidos normais provenientes de autópsias. Para ambos os experimentos, foram extraídos os RNAs dos tecidos e quantificados por PCR em tempo real com o kit MicroRNA Assay baseado em iniciadores com estrutura em stem loop. Nos camundongos, análises de bioinformática encontraram quatro cluster de acordo com a expressão dos miRNAs...

MicroRNAs are a new class of small RNA molecules (21-24 nucleotide-long) that negatively regulate gene expression either by translational repression or target mRNA degradation. It is believed that about 30% of all human genes are targeted by these molecules. MiRNAs are involved in many important biological processes including cell differentiation, embryonic development and central nervous system formation, besides they showed specific temporal-space expression. They can regulate 1/3 of human genes and are involved in metabolism and apoptosis. miRNAs are the key as neurogenesis postranscriptional regulation; studies previous indicates miRNA expression associate with proliferation and differentiation in development of central nervous system (CNS) and housekeeping expression in mature neurons. They are involved in several diseases as Alzkeimer's and Parkinson and may have a role in epilepsy regulation. In second chapter, we analyze the miRNA expression in mouse brain during four stages of CNS development; in third chapter, we analyze hippocampal tissue of four patients who underwent selective resection of the mesial temporal structures for the treatment of clinically refractory seizures. In addition we used control samples from autopsy (n=4) for comparison. In both experiments, total RNA was isolated from tissues and used in real-time PCR reactions with TaqMan¿ microRNA assays (Applied Biosystems) to quantify 104 (mouse brain) or 157 (human tissue) different miRNAs...