Profiling miRNAs of Teleost Fish in Responses to Environmental Stress: A Review.

miRNAs are a class of endogenous and evolutionarily conserved noncoding short RNA molecules that post-transcriptionally regulate gene expression through sequence-specific interactions with mRNAs and are capable of controlling gene expression by binding to miRNA targets and interfering with the final protein output. The miRNAs of teleost were firstly reported in zebrafish development, but there are recent studies on the characteristics and functions of miRNAs in fish, especially when compared with mammals. Environmental factors including salinity, oxygen concentration, temperature, feed, pH, environmental chemicals and seawater metal elements may affect the transcriptional and posttranscriptional regulators of miRNAs, contributing to nearly all biological processes. The survival of aquatic fish is constantly challenged by the changes in these environmental factors. Environmental factors can influence miRNA expression, the functions of miRNAs and their target mRNAs. Progress of available information is reported on the environmental effects of the identified miRNAs, miRNA targets and the use of miRNAs in fish.

Aberrant Methylation of the Imprinted C19MC and MIR371-3 Clusters in Patients with Non-Small Cell Lung Cancer.

Epigenetic mechanisms have emerged as an important contributor to tumor development through the modulation of gene expression. Our objective was to identify the methylation profile of the imprinted C19MC and MIR371-3 clusters in patients with non-small cell lung cancer (NSCLC) and to find their potential target genes, as well as to study their prognostic role. DNA methylation status was analyzed in a NSCLC patient cohort (n = 47) and compared with a control cohort including COPD patients and non-COPD subjects (n = 23) using the Illumina Infinium Human Methylation 450 BeadChip. Hypomethylation of miRNAs located on chromosome 19q13.42 was found to be specific for tumor tissue. We then identified the target mRNA-miRNA regulatory network for the components of the C19MC and MIR371-3 clusters using the miRTargetLink 2.0 Human tool. The correlations of miRNA-target mRNA expression from primary lung tumors were analyzed using the CancerMIRNome tool. From those negative correlations identified, we found that a lower expression of 5 of the target genes (FOXF2, KLF13, MICA, TCEAL1 and TGFBR2) was significantly associated with poor overall survival. Taken together, this study demonstrates that the imprinted C19MC and MIR371-3 miRNA clusters undergo polycistronic epigenetic regulation leading to deregulation of important and common target genes with potential prognostic value in lung cancer.

Anesthetic­specific lncRNA and mRNA profile changes in blood during colorectal cancer resection: A prospective, matched­case pilot study.

Prometastatic and antitumor effects of different anesthetics have been previously analyzed in several studies with conflicting results. Thus, the underlying perioperative molecular mechanisms mediated by anesthetics potentially affecting tumor phenotype and metastasis remain unclear. It was hypothesized that anesthetic­specific long non­coding RNA (lncRNA) expression changes are induced in the blood circulation and play a crucial role in tumor outcome. In the present study, high­throughput sequencing and quantitative PCR were performed in order to identify lncRNA and mRNA expression changes affected by two therapeutic regimes, total intravenous anesthesia (TIVA) and volatile anesthetic gas (VAG) in patients undergoing colorectal cancer (CRC) resection. Total blood RNA was isolated prior to and following resection and characterized using RNA sequencing. mRNA­lncRNA interactions and their roles in cancer­related signaling of differentially expressed lncRNAs were identified using bioinformatics analyses. The comparison of these two time points revealed 35 differentially expressed lncRNAs in the TIVA­group, and 25 in the VAG­group, whereas eight were shared by both groups. Two lncRNAs in the TIVA­group, and 23 in the VAG­group of in silico identified target­mRNAs were confirmed as differentially regulated in the NGS dataset of the present study. Pathway analysis was performed and cancer relevant canonical pathways for TIVA were identified. Target­mRNA analysis of VAG revealed a markedly worsened immunological response against cancer. In this proof­of­concept study, anesthesic­specific expression changes in lncRNA and mRNA profiles in blood were successfully identified. Moreover, the data of the present study provide the first evidence that anesthesia­induced lncRNA pattern changes may contribute further in the observed differences in CRC outcome following tumor resection.

Target-Dependent Coordinated Biogenesis of Secondary MicroRNAs by miR-146a Balances Macrophage Activation Processes.

MicroRNAs (miRNAs) repress protein expression by binding to the target mRNAs. Exploring whether the expression of one miRNA can regulate the abundance and activity of other miRNAs, we noted the coordinated biogenesis of miRNAs in activated macrophages. miRNAs with higher numbers of binding sites (the "primary" miRNAs) induce expression of other miRNAs ("secondary" miRNAs) having binding sites on the 3' untranslated region (UTR) of common target mRNAs. miR-146a-5p, in activated macrophages, acts as a "primary" miRNA that coordinates biogenesis of "secondary" miR-125b, miR-21, or miR-142-3p to target new sets of mRNAs to balance the immune responses. During coordinated biogenesis, primary miRNA drives the biogenesis of secondary miRNA in a target mRNA- and Dicer1 activity-dependent manner. The coordinated biogenesis of miRNAs was observed across different cell types. The target-dependent coordinated miRNA biogenesis also ensures a cumulative mode of action of primary and secondary miRNAs on the secondary target mRNAs. Interestingly, using the "primary" miR-146a-5p-specific inhibitor, we could inhibit the target-dependent biogenesis of secondary miRNAs that can stop the miRNA-mediated buffering of cytokine expression and inflammatory response occurring in activated macrophages. Computational analysis suggests the prevalence of coordinated biogenesis of miRNAs also in other contexts in human and in mouse.

A Cancer-Related microRNA Signature Shows Biomarker Utility in Multiple Myeloma.

Multiple myeloma (MM) is the second most common hematological malignancy, arising from terminally differentiated B cells, namely plasma cells. miRNAs are small non-coding RNAs that participate in the post-transcriptional regulation of gene expression. In this study, we investigated the role of nine miRNAs in MM. CD138+ plasma cells were selected from bone marrow aspirates from MM and smoldering MM (sMM) patients. Total RNA was extracted and in vitro polyadenylated. Next, first-strand cDNA synthesis was performed using an oligo-dT-adapter primer. For the relative quantification of the investigated miRNAs, an in-house real-time quantitative PCR (qPCR) assay was developed. A functional in silico analysis of the miRNAs was also performed. miR-16-5p and miR-155-5p expression was significantly lower in the CD138+ plasma cells of MM patients than in those of sMM patients. Furthermore, lower levels of miR-15a-5p, miR-16-5p, and miR-222-3p were observed in the CD138+ plasma cells of MM patients with osteolytic bone lesions, compared to those without. miR-125b-5p was also overexpressed in the CD138+ plasma cells of MM patients with bone disease that presented with skeletal-related events (SREs). Furthermore, lower levels of miR-223-3p were associated with significantly worse overall survival in MM patients. In conclusion, we propose a miRNA signature with putative clinical utility in MM.

Synthetic in vitro transcribed lncRNAs (SINEUPs) with chemical modifications enhance target mRNA translation.

Chemically modified mRNAs are extensively studied with a view toward their clinical application. In particular, long noncoding RNAs (lncRNAs) containing SINE elements, which enhance the translation of their target mRNAs (i.e., SINEUPs), have potential as RNA therapies for various diseases, such as haploinsufficiencies. To establish a SINEUP-based system for efficient protein expression, we directly transfected chemically modified in vitro transcribed (mIVT) SINEUP RNAs to examine their effects on target mRNA translation. mIVT SINEUP RNAs enhanced translation of EGFP mRNA and endogenous target Sox9 mRNA in both cultured cells and a cell-free translation system. Our findings reveal the functional role of RNA modifications in SINEUPs and suggest several broad clinical applications of such an RNA regulatory system.

2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection.

Piwi-interacting RNAs (piRNAs) are indispensable in the transposon silencing, including in germ cell formation, germline stem cell maintenance, spermatogenesis, and oogenesis. piRNA pathways are amongst the major genome defence mechanisms, which maintain genome integrity. They also have important functions in tumorigenesis, as indicated by aberrantly expressed piRNAs being recently shown to play roles in the process of cancer development. A number of computational methods for this have recently been proposed, but they still have not yielded satisfactory predictive performance. Moreover, only one computational method that identifies whether piRNAs function in inducting target mRNA deadenylation been reported in the literature. In this study, we developed a two-layered integrated classifier algorithm, 2lpiRNApred. It identifies piRNAs in the first layer and determines whether they function in inducting target mRNA deadenylation in the second layer. A new feature selection algorithm, which was based on Luca fuzzy entropy and Gaussian membership function (LFE-GM), was proposed to reduce the dimensionality of the features. Five feature extraction strategies, namely, Kmer, General parallel correlation pseudo-dinucleotide composition, General series correlation pseudo-dinucleotide composition, Normalized Moreau-Broto autocorrelation, and Geary autocorrelation, and two types of classifier, Sparse Representation Classifier (SRC) and support vector machine with Mahalanobis distance-based radial basis function (SVMMDRBF), were used to construct a two-layered integrated classifier algorithm, 2lpiRNApred. The results indicate that 2lpiRNApred performs significantly better than six other existing prediction tools.

Comparative Identification of MicroRNAs in Apis cerana cerana Workers' Midguts in Responseto Nosema ceranae Invasion.

Here, the expression profiles and differentially expressed miRNAs (DEmiRNAs) in the midguts of Apis cerana cerana workers at 7 d and 10 d post-inoculation (dpi) with N. ceranae were investigated via small RNA sequencing and bioinformatics. Five hundred and twenty nine (529) known miRNAs and 25 novel miRNAs were identified in this study, and the expression of 16 predicted miRNAs was confirmed by Stem-loop RT-PCR. A total of 14 DEmiRNAs were detected in the midgut at 7 dpi, including eight up-regulated and six down-regulated miRNAs, while 12 DEmiRNAs were observed in the midgut at 10 dpi, including nine up-regulated and three down-regulated ones. Additionally, five DEmiRNAs were shared, while nine and seven DEmiRNAs were specifically expressed in midguts at 7 dpi and 10 dpi. Gene ontology analysis suggested some DEmiRNAs and corresponding target mRNAs were involved in various functions including immune system processes and response to stimulus. KEGG pathway analysis shed light on the potential functions of some DEmiRNAs in regulating target mRNAs engaged in material and energy metabolisms, cellular immunity and the humoral immune system. Further investigation demonstrated a complex regulation network between DEmiRNAs and their target mRNAs, with miR-598-y, miR-252-y, miR-92-x and miR-3654-y at the center. Our results can facilitate future exploration of the regulatory roles of miRNAs in host responses to N. ceranae, and provide potential candidates for further investigation of the molecular mechanisms underlying eastern honeybee-microsporidian interactions.

A Direct RNA-to-RNA Replication System for Enhanced Gene Expression in Bacteria.

A long-standing objective of metabolic engineering has been to exogenously increase the expression of target genes. In this research, we proposed the permanent RNA replication system using DNA as a template to store genetic information in bacteria. We selected Qß phage as the RNA replication prototype and made many improvements to achieve target gene expression enhancement directly by increasing mRNA abundance. First, we identified the endogenous gene Rnc, the knockout of which significantly improved the RNA replication efficiency. Second, we elucidated the essential elements for RNA replication and optimized the system to make it more easily applicable. Combined with optimization of the host cell and the system itself, we developed a stable RNA-to-RNA replication tool to directly increase the abundance of the target mRNA and subsequently the target protein. Furthermore, it was proven efficient in enhancing the expression of specific proteins and was demonstrated to be applicable in metabolic engineering. Our system has the potential to be combined with any of the existing methods for increasing gene expression.

Sfold Tools for MicroRNA Target Prediction.

Computational prediction of miRNA binding sites on target mRNAs facilitates experimental investigation of miRNA functions. In this chapter, we describe STarMir and STarMirDB, two application modules of the Sfold RNA package. STarMir is a Web server for performing miRNA binding site predictions for mRNA and target sequences submitted by users. STarMirDB is a database of precomputed transcriptome-scale predictions. Both STarMir and STarMirDB provide comprehensive sequence, thermodynamic, and target structure features, a logistic probability as a measure of confidence for each predicted site, and a publication-quality diagram of the predicted miRNA-target hybrid. In addition, STarMir now offers a new quantitative score to address combined regulatory effects of multiple seed and seedless sites. This score provides a quantitative measure of the overall regulatory effects of both seed and seedless sites on the target. STarMir and STarMirDB are freely available to all through the Sfold Web application server at http://sfold.wadsworth.org .

Preliminary functional inquiry of lncRNA ENST00000433673 in embryo implantation using bioinformatics analysis.

Long non-coding RNAs (lncRNAs), a class of non-coding RNA, have been shown to be essential in many diseases, such as infertility. Here, we found three candidate lncRNAs, ENST00000414116, ENST00000433673, and ENST00000448179, that are highly expressed in the uterus endometrial tissues of normal patients compared to the tissues of patients with adenomyosis, endometriosis, and recurrent implantation failure. lncRNAs ENST00000414116 and ENST00000433673 showed high expression in endometrial stromal cells (ESCs) and endometrial epithelial cells (EECs), respectively, and lncRNA ENST00000448179 was specifically expressed in ESCs. The bioinformatics analysis results indicated that the target mRNAs of lncRNA ENST00000433673 were related to biological adhesion. Interestingly, intercellular adhesion molecule 1 (ICAM1), an interacting mRNA of the target mRNA integrin subunit alpha L (ITGAL), has been reported be an important regulator of embryo implantation. Further studies found that the target mRNA ITGAL and the interacting mRNA ICAM1 were highly expressed in the uterus endometrial tissues and EECs of normal patients. Based on our results, our study indicates that lncRNA ENST00000433673 might mediate the high expression of the target mRNA ITGAL, thereby promoting the expression of the interacting mRNA ICAM1 and the adhesion of EECs, which facilitates adhesion and implantation between the embryo and the mater. Abbreviations: AMs: adenomyosis; EMs: endometriosis; RIF: recurrent implantation failure; miRNAs: microRNAs; lncRNAs: Long non-coding RNAs; RT-qPCR: real-time quantitative PCR; ESCs: endometrial stromal cells; EECs: endometrial epithelial cells; BFE: free binding energy; PCDHB9: protocadherin beta 9; PARVG: parvin gamma; MAPK6: mitogen-activated protein kinase 6; LAF1: lymphocyte function-associated antigen 1.

A graphene oxide-based hairpin probe coupling duplex-specific nuclease signal amplification for detection and imaging of mRNA in living cells.

In situ imaging of mRNA in living cells can help to monitor the real time mRNA expression and also useful for diagnosis and prognosis of the diseases. In this study, a new strategy was designed for simple, sensitive, and selective platform to detect the mRNA levels by combining a hairpin probe-graphene oxide (HP1/GO) and duplex-specific nuclease signal amplification (DSNSA). Initially, the DNA probe was adsorbed on the surface of GO to protect it from enzymatic digestion. Then, the target mRNA (T1) was hybridized with a partial hairpin probe which formed a duplex. Finally, under the action of DSN nuclease, the ssDNA in the DNA/RNA hybrid was selectively cleaved and produced small fragments. Then, T1 triggered the next reaction cycle, constituting a new circular exponential amplification. Here, we conclude that this assay is highly sensitive for the detection of target mRNA with the lower detection limit of 1 fM under optimal conditions. Furthermore, this strategy was successfully used for imaging of mRNA in living cells.

Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation.

microRNAs are noncoding RNAs which downregulate a large number of target mRNAs and modulate cell activity. Despite continued progress, bioinformatics prediction of microRNA targets remains a challenge since available software still suffer from a lack of accuracy and sensitivity. Moreover, these tools show fairly inconsistent results from one another. Thus, in an attempt to circumvent these difficulties, we aggregated all human results of four important prediction algorithms (miRanda, PITA, SVmicrO, and TargetScan) showing additional characteristics in order to rerank them into a single list. Instead of deciding which prediction tool to use, our method clearly helps biologists getting the best microRNA target predictions from all aggregated databases. The resulting database is freely available through a webtool called miRabel which can take either a list of miRNAs, genes, or signaling pathways as search inputs. Receiver operating characteristic curves and precision-recall curves analysis carried out using experimentally validated data and very large data sets show that miRabel significantly improves the prediction of miRNA targets compared to the four algorithms used separately. Moreover, using the same analytical methods, miRabel shows significantly better predictions than other popular algorithms such as MBSTAR, miRWalk, ExprTarget and miRMap. Interestingly, an F-score analysis revealed that miRabel also significantly improves the relevance of the top results. The aggregation of results from different databases is therefore a powerful and generalizable approach to many other species to improve miRNA target predictions. Thus, miRabel is an efficient tool to guide biologists in their search for miRNA targets and integrate them into a biological context.

The Small Regulatory RNAs LhrC1-5 Contribute to the Response of Listeria monocytogenes to Heme Toxicity.

The LhrC family of small regulatory RNAs (sRNAs) is known to be induced when the foodborne pathogen Listeria monocytogenes is exposed to infection-relevant conditions, such as human blood. Here we demonstrate that excess heme, the core component of hemoglobin in blood, leads to a strong induction of the LhrC family members LhrC1-5. The heme-dependent activation of lhrC1-5 relies on the response regulator LisR, which is known to play a role in virulence and stress tolerance. Importantly, our studies revealed that LhrC1-5 and LisR contribute to the adaptation of L. monocytogenes to excess heme. Regarding the regulatory function of the sRNAs, we demonstrate that LhrC1-5 act to down-regulate the expression of known LhrC target genes under heme-rich conditions: oppA, tcsA, and lapB, encoding surface exposed proteins with virulence functions. These genes were originally identified as targets for LhrC-mediated control under cell envelope stress conditions, suggesting a link between the response to heme toxicity and cell envelope stress in L. monocytogenes. We also investigated the role of LhrC1-5 in controlling the expression of genes involved in heme uptake and utilization: lmo2186 and lmo2185, encoding the heme-binding proteins Hbp1 and Hbp2, respectively, and lmo0484, encoding a heme oxygenase-like protein. Using in vitro binding assays, we demonstrated that the LhrC family member LhrC4 interacts with mRNAs encoded from lmo2186, lmo2185, and lmo0484. For lmo0484, we furthermore show that LhrC4 uses a CU-rich loop for basepairing to the AG-rich Shine-Dalgarno region of the mRNA. The presence of a link between the response to heme toxicity and cell envelope stress was further underlined by the observation that LhrC1-5 down-regulate the expression of lmo0484 in response to the cell wall-acting antibiotic cefuroxime. Collectively, this study suggests a role for the LisR-regulated sRNAs LhrC1-5 in a coordinated response to excess heme and cell envelope stress in L. monocytogenes.

Mutational Analysis of sRNA-mRNA Base Pairing by Electrophoretic Mobility Shift Assay.

Small regulatory RNAs (sRNAs) in bacteria often act by base pairing to mRNAs. Direct interactions between an sRNA and its target mRNA can be investigated by electrophoretic mobility shift assay. In this assay, regions engaged in base pairing are analyzed by introducing mutations in one of the RNAs that prevent sRNA-mRNA complex formation, followed by the introduction of complementary mutations in its partner RNA that restore base pairing. Here, we describe the design of a mutational strategy used to analyze the base pairing between two CU-rich regions of the sRNA Rli22 and the AG-rich Shine-Dalgarno region of the mRNA oppA in Listeria monocytogenes. The protocol can be employed for mutational studies of base pairing between any sRNA and its mRNA target(s).

Target mRNA-Driven Biogenesis of Cognate MicroRNAs In Vitro.

miRNAs are 20-22 nucleotide long noncoding RNAs that act as post-transcriptional regulators of gene expression controlling more than half of protein coding genes in humans. Being the critical modulators of the mRNA translation process, biogenesis, function, and turnover of these small RNAs are tightly regulated in cells. We have reported that target mRNAs induce increased biogenesis of cognate miRNAs from pre-miRNAs by increased activity of Ago-associated Dicer endonuclease that processes precursor miRNAs to their mature form. In the current chapter, we discuss how target mRNA-driven RISC loading can be monitored in vitro using affinity-purified miRISC or recombinant AGO2 and DICER1 proteins and scoring the processivity of AGO2-associated DICER1 in vitro.

Construction of Multi-Potent MicroRNA Sponge and Its Functional Evaluation.

MicroRNA is a small, endogenous RNA that inhibits specific gene expression by interacting mostly on the UTR region of target mRNA. Among various methods to inhibit the microRNA, microRNA sponge is a construct designed to inhibit specific microRNA by providing excess amount of target mRNA. Here, we describe a method to generate multi-potent miRNA sponge which can inhibit multiple microRNAs simultaneously. In addition, two methods to examine the functionality of miRNA sponge will be introduced. This tool can be used to stably inhibit multiple microRNAs either in cell or in vivo, expanding the scope of functional analysis of specific microRNAs.

Comparative analysis of microRNA and mRNA expression profiles in cells and exosomes under toluene exposure.

Recent studies have illustrated the growing importance of exosomes (small extracellular vesicles) and their constituent microRNAs (miRNAs) in the fields of toxicology and pathology. The mechanism of toxicity of toluene, a highly-prevalent and volatile organic compound, is largely unknown. To examine the role of miRNAs in toluene-induced toxicity, we investigated miRNAs and toluene-induced gene expression in HL-60 human promyelocytic leukemia cells and exosomes using microarrays. A total of 54 miRNAs were differentially expressed in HL-60 cell lines exposed to toluene and exosomes from the cells. Four out of the 54 miRNAs (hsa-miR-1290, hsa-miR-718, hsa-miR-3663-3p, and hsa-miR-320c) were subsequently validated by qRT-PCR. Integrated analysis of miRNA and mRNA expression profiles identified 8 miRNA-mRNA correlations. By performing Comparative Toxicogenomics Database analysis, we found that the eight putative target genes of the differentially expressed miRNAs under toluene exposure (EXOSC6, RHOH, GFER, HERC2, GOLGA4, SLC7A11, GCLM, and BACH1) are related to diverse disease categories such as nervous system disease, cancer, cardiovascular disease, and respiratory tract disease. In conclusion, our data demonstrated that miRNA-mRNA networks provide a better understanding of toxicological mechanism caused by environmental pollutants in vitro using HL-60 cells and exosomes.

Systematic characterization of artificial small RNA-mediated inhibition of Escherichia coli growth.

A new screening system for artificial small RNAs (sRNAs) that inhibit the growth of Escherichia coli was constructed. In this system, we used a plasmid library to express RNAs of ∼120 nucleotides, each with a random 30-nucleotide sequence that can recognize its target mRNA(s). After approximately 60,000 independent colonies were screened, several plasmids that inhibited bacterial growth were isolated. To understand the inhibitory mechanism, we focused on one sRNA, S-20, that exerted a strong inhibitory effect. A time-course analysis of the proteome of S-20-expressing E. coli and a bioinformatic analysis were used to identify potential S-20 target mRNAs, and suggested that S-20 binds the translation initiation sites of several mRNAs encoding enzymes such as peroxiredoxin (osmC), glycyl-tRNA synthetase α subunit (glyQ), uncharacterized protein ygiM, and tryptophan synthase ß chain (trpB). An in vitro translation analysis of chimeric luciferase-encoding mRNAs, each containing a potential S-20 target sequence, indicated that the translation of these mRNAs was inhibited in the presence of S-20. A gel shift analysis combined with the analysis of a series of S-20 mutants suggested that S-20 targets multiple mRNAs that are responsible for inhibiting E. coli growth. These data also suggest that S-20 acts like an endogenous sRNA and that E. coli can utilize artificial sRNAs.

Screening and identification of mRNAs targeted by human cytomegalovirus(HCMV)-encoded miR-US33-1-5p in HCMV-infected human embryo lung fibroblast cells / 中华微生物学和免疫学杂志

Objective To screen and identify mRNAs targeted by human cytomegalovirus-encoded miR-US33-1-5p (HCMV miR-US33-1-5p) for understanding the biological functions of HCMV miR-US33-1-5p. Methods Potential target mRNAs of HCMV miR-US33-1-5p were screened out by using hybrid-PCR, a simple and effective method. Dual-Luciferase Reporter Assay System was used to identify the binding abili-ties of HCMV miR-US33-1-5p to 3′-UTRs of these potential target mRNAs. Results Twelve potential mRNAs targeted by HCMV miR-US33-1-5p were screened out in human embryo lung fibroblast cells infected with HCMV. Luciferase activities of 3′-UTRs of seven target mRNAs were significantly down-regulated. Conclusion Proteins encoded by these target mRNAs are involved in virus replication,immune system reg-ulation,protein synthesis,cell cycle regulation,energy metabolism and so on. Identification of mRNAs tar-geted by HCMV miR-US33-1-5p is helpful for further studies on biological functions of miR-US33-1-5p.