Developmental and Activity-Dependent miRNA Expression Profiling in Primary Hippocampal Neuron Cultures

MicroRNAs (miRNAs) are evolutionarily conserved non-coding RNAs of ∼22 nucleotides that regulate gene expression at the level of translation and play vital roles in hippocampal neuron development, function and plasticity. Here, we performed a systematic and in-depth analysis of miRNA expression profiles in cultured hippocampal neurons during development and after induction of neuronal activity. MiRNA profiling of primary hippocampal cultures was carried out using locked nucleic-acid-based miRNA arrays. The expression of 264 different miRNAs was tested in young neurons, at various developmental stages (stage 2–4) and in mature fully differentiated neurons (stage 5) following the induction of neuronal activity using chemical stimulation protocols. We identified 210 miRNAs in mature hippocampal neurons; the expression of most neuronal miRNAs is low at early stages of development and steadily increases during neuronal differentiation. We found a specific subset of 14 miRNAs with reduced expression at stage 3 and showed that sustained expression of these miRNAs stimulates axonal outgrowth. Expression profiling following induction of neuronal activity demonstrates that 51 miRNAs, including miR-134, miR-146, miR-181, miR-185, miR-191 and miR-200a show altered patterns of expression after NMDA receptor-dependent plasticity, and 31 miRNAs, including miR-107, miR-134, miR-470 and miR-546 were upregulated by homeostatic plasticity protocols. Our results indicate that specific miRNA expression profiles correlate with changes in neuronal development and neuronal activity. Identification and characterization of miRNA targets may further elucidate translational control mechanisms involved in hippocampal development, differentiation and activity-depended processes.     

A microarray-based approach identifies ADP ribosylation factor-like protein 2 as a target of microRNA-16

microRNAs (miRNAs) are generally thought to negatively regulate the expression of their target genes by mRNA degradation or by translation repression. Here we show an efficient way to identify miRNA target genes by screening alterations in global mRNA levels following changes in miRNA levels. In this study, we used mRNA microarrays to measure global mRNA expression in three cell lines with increased or decreased levels of miR-16 and performed bioinformatics analysis based on multiple target prediction algorithms. For further investigation among the predicted miR-16 target genes, we selected genes that show an expression pattern opposite to that of miR-16. One of the candidate target genes that may interact with miR-16, ADP-ribosylation factor-like protein 2 (ARL2), was further investigated. First, ARL2 was deduced to be an ideal miR-16 target by computational predictions. Second, ARL2 mRNA and protein levels were significantly abolished by treatment with miR-16 precursors, whereas a miR-16 inhibitor increased ARL2 mRNA and protein levels. Third, a luciferase reporter assay confirmed that miR-16 directly recognizes the 3'-untranslated region (3'-UTR) of ARL2. Finally, we showed that miR-16 could regulate proliferation and induce a significant G0/G1 cell cycle arrest, which was due at least in part, to the down-regulation of ARL2. In summary, the present study suggests that integrating global mRNA profiling and bioinformatics tools may provide the basis for further investigation of the potential targets of a given miRNA. These results also illustrate a novel function of miR-16 targeting ARL2 in modulating proliferation and cell cycle progression.     

miRNA profiling of naïve, effector and memory CD8 T cells

microRNAs have recently emerged as master regulators of gene expression during development and cell differentiation. Although profound changes in gene expression also occur during antigen-induced T cell differentiation, the role of miRNAs in the process is not known. We compared the miRNA expression profiles between antigen-specific na?ve, effector and memory CD8+ T cells using 3 different methods--small RNA cloning, miRNA microarray analysis and real-time PCR. Although many miRNAs were expressed in all the T cell subsets, the frequency of 7 miRNAs (miR-16, miR-21, miR-142-3p, miR-142-5p, miR-150, miR-15b and let-7f) alone accounted for approximately 60% of all miRNAs, and their expression was several fold higher than the other expressed miRNAs. Global downregulation of miRNAs (including 6/7 dominantly expressed miRNAs) was observed in effector T cells compared to na?ve cells and the miRNA expression levels tended to come back up in memory T cells. However, a few miRNAs, notably miR-21 were higher in effector and memory T cells compared to na?ve T cells. These results suggest that concomitant with profound changes in gene expression, miRNA profile also changes dynamically during T cell differentiation. Sequence analysis of the cloned mature miRNAs revealed an extensive degree of end polymorphism. While 3'end polymorphisms dominated, heterogeneity at both ends, resembling drosha/dicer processing shift was also seen in miR-142, suggesting a possible novel mechanism to generate new miRNA and/or to diversify miRNA target selection. Overall, our results suggest that dynamic changes in the expression of miRNAs may be important for the regulation of gene expression during antigen-induced T cell differentiation. Our study also suggests possible novel mechanisms for miRNA biogenesis and function.     

Marked change in microRNA expression during neuronal differentiation of human teratocarcinoma NTera2D1 and mouse embryonal carcinoma P19 cells

MicroRNAs (miRNAs) are small noncoding RNAs, with a length of 19-23 nucleotides, which appear to be involved in the regulation of gene expression by inhibiting the translation of messenger RNAs carrying partially or nearly complementary sequences to the miRNAs in their 3' untranslated regions. Expression analysis of miRNAs is necessary to understand their complex role in the regulation of gene expression during the development, differentiation and proliferation of cells. Here we report on the expression profile analysis of miRNAs in human teratocarcinoma NTere2D1, mouse embryonic carcinoma P19, mouse neuroblastoma Neuro2a and rat pheochromocytoma PC12D cells, which can be induced into differentiated cells with long neuritic processes, i.e., after cell differentiation, such that the resultant cells look similar to neuronal cells. The data presented here indicate marked changes in the expression of miRNAs, as well as genes related to neuronal development, occurred in the differentiation of NTera2D1 and P19 cells. Significant changes in miRNA expression were not observed in Neuro2a and PC12D cells, although they showed apparent morphologic change between undifferentiated and differentiated cells. Of the miRNAs investigated, the expression of miRNAs belonging to the miR-302 cluster, which is known to be specifically expressed in embryonic stem cells, and of miR-124a specific to the brain, appeared to be markedly changed. The miR-302 cluster was potently expressed in undifferentiated NTera2D1 and P19 cells, but hardly in differentiated cells, such that miR-124a showed an opposite expression pattern to the miR-302 cluster. Based on these observations, it is suggested that the miR-302 cluster and miR-124a may be useful molecular indicators in the assessment of degree of undifferentiation and/or differentiation in the course of neuronal differentiation.     

miR-497 and miR-302b regulate ethanol-induced neuronal cell death through BCL2 protein and cyclin D2

In chronic alcoholism, brain shrinkage and cognitive defects because of neuronal death are well established, although the sequence of molecular events has not been fully explored yet. We explored the role of microRNAs (miRNAs) in ethanol-induced apoptosis of neuronal cells. Ethanol-sensitive miRNAs in SH-SY5Y, a human neuroblastoma cell line, were identified using real-time PCR-based TaqMan low-density arrays. Long-term exposure to ethanol (0.5% v/v for 72 h) produced a maximum increase in expression of miR-497 (474-fold) and miR-302b (322-fold). Similar to SH-SY5Y, long-term exposure to ethanol induced miR-497 and miR-302b in IMR-32, another human neuroblastoma cell line. Using in silico approaches, BCL2 and cyclin D2 (CCND2) were identified as probable target genes of these miRNAs. Cotransfection studies with 3'-UTR of these genes and miRNA mimics have demonstrated that BCL2 is a direct target of miR-497 and that CCND2 is regulated negatively by either miR-302b or miR-497. Overexpression of either miR-497 or miR-302b reduced expression of their identified target genes and increased caspase 3-mediated apoptosis of SH-SY5Y cells. However, overexpression of only miR-497 increased reactive oxygen species formation, disrupted mitochondrial membrane potential, and induced cytochrome c release (mitochondria-related events of apoptosis). Moreover, ethanol induced changes in miRNAs, and their target genes were substantially prevented by pre-exposure to GSK-3B inhibitors. In conclusion, our studies have shown that ethanol-induced neuronal apoptosis follows both the mitochondria-mediated (miR-497- and BCL2-mediated) and non-mitochondria-mediated (miR-302b- and CCND2-mediated) pathway.     

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

Background

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

Results

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

Conclusions

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

Electronic supplementary material

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

高糖诱导内皮细胞损伤microRNA表达紊乱的体外研究

目的:研究高糖诱导的内皮细胞损伤微小RNA(microRNA,miRNA)的表达变化。方法:常规培养的人冠状动脉内皮细胞,利用不同浓度D-葡萄糖溶液(0 mmol/L、5 mmol/L、15 mmol/L和25 mmol/L),诱导刺激24 h后分别用CCK-8法和流式细胞术检测其生长活力和凋亡水平。收集细胞总RNA,利用实时定量PCR(Quantitative real-time PCR,q RT-PCR)检测miRNA的表达变化,同时利用TargetScan、PicTar等生物信息学预测软件预测可能的靶基因。结果:高糖溶液(25 mmol/L)刺激内皮细胞后,细胞生长活力明显降低,为对照组的67.5%(P0.01),凋亡水平为对照组的4.5倍(P0.01)。QRT-PCR结果显示miRNA的表达出现了明显的紊乱,其中miR-451、miR-504、miR-302d、miR-18b*、miR-198、miR-328和miR-517c明显下调,miR-29c、miR-100*、miR-137、miR-660和miR-217明显上调(P0.05)。靶基因预测发现miR-217和miR-451可能调控内皮细胞功能相关的多个基因的表达。结论:在高糖诱导的内皮细胞损伤中,miRNA表达紊乱提示其可能参与内皮细胞功能。     

MicroRNAs associated with mitogen-activated protein kinase in human pancreatic cancer

Aberrant expression of microRNAs (miRNA) is associated with phenotypes of various cancers, including pancreatic cancer. However, the mechanism of the aberrant expression is largely unknown. Activation of the mitogen-activated protein kinase (MAPK) signaling pathway plays a crucial role in gene expression related to the malignant phenotype of pancreatic cancer. Hence, we studied the role of MAPK in the aberrant expression of miRNAs in pancreatic cancer cells. The alterations in expression of 183 miRNAs induced by activation or inactivation of MAPK were assayed in cultured pancreatic cancer cells and HEK293 cells by means of the quantitative real-time PCR method. We found that four miRNAs, namely, miR-7-3, miR-34a, miR-181d, and miR-193b, were preferentially associated with MAPK activity. Among these miRNAs, miR-7-3 was upregulated by active MAPK, whereas the others were downregulated. Promoter assays indicated that the promoter activities of the host genes of miR-7-3 and miR-34a were both downregulated by alteration in MAPK activity. Exogenous overexpression of the MAPK-associated miRNAs had the effect of inhibition of the proliferation of cultured pancreatic cancer cells; miR-193b was found to exhibit the most remarkable inhibition. A search for target genes of miR-193b led to identification of CCND1, NT5E, PLAU, STARD7, STMN1, and YWHAZ as the targets. Translational suppression of these genes by miR-193b was confirmed by reporter assay. These results indicate that activation of MAPK may play a significant role in aberrant expression of miRNAs and their associated phenotypes in pancreatic cancer.     

MicroRNA-432 contributes to dopamine cocktail and retinoic acid induced differentiation of human neuroblastoma cells by targeting NESTIN and RCOR1 genes

MicroRNA (miRNA) regulates expression of protein coding genes and has been implicated in diverse cellular processes including neuronal differentiation, cell growth and death. To identify the role of miRNA in neuronal differentiation, SH-SY5Y and IMR-32 cells were treated with dopamine cocktail and retinoic acid to induce differentiation. Detection of miRNAs in differentiated cells revealed that expression of many miRNAs was altered significantly. Among the altered miRNAs, human brain expressed miR-432 induced neurite projections, arrested cells in G0–G1, reduced cell proliferation and could significantly repress NESTIN/NES, RCOR1/COREST and MECP2. Our results reveal that miR-432 regulate neuronal differentiation of human neuroblastoma cells.     

Identification of endogenous microRNA references in porcine serum for quantitative real-time PCR normalization

MicroRNAs (miRNAs) are evolutionarily conserved small non-coding RNAs that regulate the expression of genes, and they affect important biological and physiological states. Circulating miRNAs in blood are useful markers of metabolism and economic traits. Expression levels of circulating miRNAs have been estimated using quantitative real-time PCR (qPCR). Proper normalization is critical for accurate miRNA expression analysis. However, there is no study which systematically presented endogenous reference genes for evaluating circulating miRNA expression in pigs. In this study, ten porcine miRNAs (let-7a, miR-16, miR-17, miR-23a, miR-26a, miR-93, miR-103, miR-107, miR-127 and miR-191), based on the literature, were chosen as candidate reference miRNAs in serum. We evaluated the expression stability value of these miRNAs in Berkshire, Duroc, Landrace and Yorkshire pigs using geNorm and NormFinder. We determined the optimal combination of reference miRNAs for qPCR experiments: miR-127 and miR-17 in Berkshire pigs; miR-127 and miR-93 in Duroc and Landrace pigs; miR-127 and miR-16 in Yorkshire pigs. miR-127 was the best reference gene in pigs, regardless of the breed. Our study is crucial for the discovery of novel biomarkers in pigs. The reference miRNAs presented in this study could be used as appropriate reference genes for the measurement of circulating miRNA levels in studies of physiological blood metabolites.