MicroRNAs in carcinogenesis

MicroRNAs are an abundant class of noncoding RNAs, typically 20-23 nucleotides in length that are often evolutionarily conserved in metazoans and expressed in a cell and tissue specific manner. MicroRNAs exert their gene regulatory activity primarily by imperfectly base pairing to the 3' UTR of their target mRNAs, leading to mRNA degradation or translational inhibition. In cancer, microRNAs are often dysregulated with their expression patterns being correlated with clinically relevant tumor characteristics. Recently, microRNAs were shown to be directly involved in cancer initiation and progression. This review focuses primarily on emerging developments in the microRNA field that impact our understanding of how these molecules contribute to carcinogenesis.     

Partially Penetrant Postnatal Lethality of an Epithelial Specific MicroRNA in a Mouse Knockout

MicroRNAs are small noncoding RNAs thought to have pivotal roles in numerous diseases and developmental processes. However, a growing body of literature indicates that in vivo elimination of these tiny RNAs usually has little to no observable consequence, suggesting functional redundancy with other microRNAs or cellular pathways. We provide an in-depth analysis of miR-205 expression and define miR-205 as an epithelial-specific microRNA, and for the first time show that ablation of this microRNA knockout exhibits partially penetrant lethality in a constitutive mouse knockout model. Given the role of this microRNA in cancer and development, this mouse model will be an incredible reagent to study the function and mechanisms of miR-205 in epithelial tissue development and disease.     

Intrinsic Noise of microRNA-Regulated Genes and the ceRNA Hypothesis

MicroRNAs are small noncoding RNAs that regulate genes post-transciptionally by binding and degrading target eukaryotic mRNAs. We use a quantitative model to study gene regulation by inhibitory microRNAs and compare it to gene regulation by prokaryotic small non-coding RNAs (sRNAs). Our model uses a combination of analytic techniques as well as computational simulations to calculate the mean-expression and noise profiles of genes regulated by both microRNAs and sRNAs. We find that despite very different molecular machinery and modes of action (catalytic vs stoichiometric), the mean expression levels and noise profiles of microRNA-regulated genes are almost identical to genes regulated by prokaryotic sRNAs. This behavior is extremely robust and persists across a wide range of biologically relevant parameters. We extend our model to study crosstalk between multiple mRNAs that are regulated by a single microRNA and show that noise is a sensitive measure of microRNA-mediated interaction between mRNAs. We conclude by discussing possible experimental strategies for uncovering the microRNA-mRNA interactions and testing the competing endogenous RNA (ceRNA) hypothesis.     

Target Repression Induced by Endogenous microRNAs: Large Differences,Small Effects

MicroRNAs are small RNAs that regulate protein levels. It is commonly assumed that the expression level of a microRNA is directly correlated with its repressive activity – that is, highly expressed microRNAs will repress their target mRNAs more. Here we investigate the quantitative relationship between endogenous microRNA expression and repression for 32 mature microRNAs in Drosophila melanogaster S2 cells. In general, we find that more abundant microRNAs repress their targets to a greater degree. However, the relationship between expression and repression is nonlinear, such that a 10-fold greater microRNA concentration produces only a 10% increase in target repression. The expression/repression relationship is the same for both dominant guide microRNAs and minor mature products (so-called passenger strands/microRNA* sequences). However, we find examples of microRNAs whose cellular concentrations differ by several orders of magnitude, yet induce similar repression of target mRNAs. Likewise, microRNAs with similar expression can have very different repressive abilities. We show that the association of microRNAs with Argonaute proteins does not explain this variation in repression. The observed relationship is consistent with the limiting step in target repression being the association of the microRNA/RISC complex with the target site. These findings argue that modest changes in cellular microRNA concentration will have minor effects on repression of targets.     

A MicroRNA Network Dysregulated in Asthma Controls IL-6 Production in Bronchial Epithelial Cells

MicroRNAs are short non-coding single stranded RNAs that regulate gene expression. While much is known about the effects of individual microRNAs, there is now growing evidence that they can work in co-operative networks. MicroRNAs are known to be dysregulated in many diseases and affect pathways involved in the pathology. We investigated dysregulation of microRNA networks using asthma as the disease model. Asthma is a chronic inflammatory disease of the airways characterized by bronchial hyperresponsiveness and airway remodelling. The airway epithelium is a major contributor to asthma pathology and has been shown to produce an excess of inflammatory and pro-remodelling cytokines such as TGF-β, IL-6 and IL-8 as well as deficient amounts of anti-viral interferons. After performing microRNA arrays, we found that microRNAs -18a, -27a, -128 and -155 are down-regulated in asthmatic bronchial epithelial cells, compared to cells from healthy donors. Interestingly, these microRNAs are predicted in silico to target several components of the TGF-β, IL-6, IL-8 and interferons pathways. Manipulation of the levels of individual microRNAs in bronchial epithelial cells did not have an effect on any of these pathways. Importantly, knock-down of the network of microRNAs miR-18a, -27a, -128 and -155 led to a significant increase of IL-8 and IL-6 expression. Interestingly, despite strong in silico predictions, down-regulation of the pool of microRNAs did not have an effect on the TGF-β and Interferon pathways. In conclusion, using both bioinformatics and experimental tools we found a highly relevant potential role for microRNA dysregulation in the control of IL-6 and IL-8 expression in asthma. Our results suggest that microRNAs may have different roles depending on the presence of other microRNAs. Thus, interpretation of in silico analysis of microRNA function should be confirmed experimentally in the relevant cellular context taking into account interactions with other microRNAs when studying disease.     

miR‐423‐5p inhibits myoblast proliferation and differentiation by targeting Sufu

Myoblast proliferation and terminal differentiation are the key steps of myogenesis. MicroRNAs are a class of small noncoding RNAs that play important roles in gene expression regulation. They negatively regulate gene expression by causing messenger RNA translational repression or target messenger RNA degradation. Here, we found that microRNA‐423‐5p (miR‐423‐5p) is highly expressed in both slow and fast muscles. Our gain‐of‐function study indicated that miR‐423‐5p actually plays a negative role in regulating myoblast proliferation and differentiation. We also found that miR‐423‐5p is able to inhibit the expression of suppressor of fused homolog to inactivate the expression of the marker genes in myoblast proliferation and differentiation. Taken together, our findings indicated miR‐423‐5p as a potential inhibitor of myogenesis by targeting suppressor of fused homolog in myoblast, and it also contributes to a better understanding of the microRNAs‐target gene regulatory network in different types of porcine muscle types and may benefit the practice of improving the meat quality in animal husbandry.     

Polymorphisms in human pre-miRNAs

MicroRNAs constitute a growing class of non-coding RNAs that are thought to regulate gene expression via translational repression. MicroRNAs are initially transcribed as several hundred-nucleotide pri-miRNAs and are then processed to approximately 60-nucleotide hairpin pre-miRNAs. We hypothesized that polymorphisms in both pre-miRNA and mature microRNA modify various biological processes by influencing the processing and/or target selection of microRNAs. In the present study, we sequenced 173 human pre-miRNA genome regions in 96 subjects and found 10 polymorphisms in the 10 pre-miRNA hairpin regions. Although most of these polymorphisms seem to have no effect on microRNA processing, we identified a C to A polymorphism in the mature miR-30c-2 sequence. This polymorphism may alter target selection and thus exert profound biological effects. To the best of our knowledge, this is the first report of polymorphisms in pre-miRNAs.