n-3多不饱和脂肪酸调节饮食诱导肥胖大鼠miRNA表达变化(英文)

目的:研究n-3多不饱和脂肪酸(polyunsaturated fatty acids,PUFA)饮食对饮食诱导肥胖大鼠的miR NA表达影响。方法:将10只饮食诱导肥胖(diet induced obese,DIO)大鼠随机分成两组:n-3PUFA添加组和安慰剂添加组(对照组);每周记录两组老鼠的体重、体长和进食量。对外周血miR NA的表达并进行分析和预测。结果:两组老鼠Lee指数有统计学差异(P0.05);与对照组相比,在n-3组的外周血单核细胞中,29个miR NA上调,31个下调;其中rno-miR-200和rno-miR-211的表达量上调,rno-miR-29b和rno-miR-92b的表达量下调,其靶基因预测结果与神经营养因子,脂肪细胞因子,趋化因子和胰岛素信号通路有关。结论:n-3PUFA能够调节DIO大鼠的miR NA水平,其中有些与脂肪代谢相关。     

MicroRNA expression in the aging mouse thymus

MicroRNAs (miRNAs) have been implicated in the process of aging in many model organisms, such as Caenorhabditis elegans, and in many organs, such as the mouse lung and human epididymis. However, the role of miRNAs in the thymus tissues of the aging mouse remains unclear. To address this question, we investigated the miRNA expression profiles in the thymuses of 1-, 10- and 19-month-old mice using miRNA array and qRT-PCR assays. A total of 223 mouse miRNAs were screened, and the expression levels of those miRNAs exhibited gradual increases and decreases over the course of thymus aging. Fifty miRNAs in the 10-month-old thymus and 81 miRNAs in the 19-month-old thymus were defined as differentially expressed miRNAs (p < 0.05) in comparison with their levels in the 1-month-old mouse, and approximately one-third of these miRNAs were grouped within 11 miRNA clusters. Each miRNA cluster contained 2 to 5 miRNA genes, and most of the cluster members displayed similar expression patterns, being either increased or decreased. In addition, Ingenuity Pathway Analysis (IPA) software and the IPA database were used to analyze the 12 miRNAs that exhibited significant expression changes, revealing that as many as 15 pathways may be involved. Thus, our current study determined the expression profiles of miRNAs in the mouse thymus during the process of aging. The results suggested that these miRNAs could become meaningful biomarkers for studying thymus aging and that the aging-related alternations in miRNA expression may be involved in the regulation of cell proliferation, apoptosis, development and carcinogenesis/tumorigenesis.     

Analysis of microRNA expression profile induced by AICAR in mouse hepatocytes

AMP-activated protein kinase (AMPK) has been proposed to act as a key energy sensor mediating the metabolism of glucose and lipids, and pharmacological activation of AMPK may provide a new strategy for the management of type 2 diabetes. MicroRNAs (miRNAs) are a group of endogenous noncoding RNA that play important roles in many biological processes including energy metabolism. Whether miRNAs mediate AMPK action in regulating metabolic process is not clear. In this study, 0.5 mM 5-aminoimidazole-4-carboxamide-1-β-d-ribofuranoside (AICAR) was added to increase activation of AMPK in 8 week old C57BL/6 mice primary hepatocytes. MiRNA microarray was performed to compare the miRNA expression profiles of hepatocytes treated with or without AICAR. We discovered that 41 miRNAs were significantly altered in AICAR-treated sample (fold change: > 2) compared with untreated control sample. Among them, 19 miRNAs were upregulated. MiRNA targets were predicted by TargetScan. Further bioinformatic analysis indicated that these predicted targets might be mainly involved in pathways of cellular metabolism and tumor pathogenesis. FUNDO analysis suggested that these predicted targets were enriched in cancer, diabetes mellitus, hypertension, obesity and heart failure (P < 0.01). A series of miRNAs could be regulated by the activation of AMPK and might mediate the action of AMPK during metabolic processes and tumor pathogenesis. Predicted target genes discovered in this study and pathway analysis provide new insights into hepatic metabolism and tumor pathogenesis regulated by AMPK signaling and clues to the possible molecular mechanism underlying the effect of AMPK.     

microRNA-342, microRNA-191 and microRNA-510 are differentially expressed in T regulatory cells of type 1 diabetic patients

Regulatory T cells (Tregs) are critical regulators of autoimmune diseases, including type 1 diabetes mellitus. It is hypothesised that Tregs’ function can be influenced by changes in the expression of specific microRNAs (miRNAs). Thus, we performed miRNAs profiling in a population of Tregs separated from peripheral blood of five type 1 diabetic patients and six healthy donors. For more detailed molecular characterisation of Tregs, we additionally compared miRNAs expression profiles of Tregs and conventional T cells. Tregs were isolated according to CD3+, CD4+, CD25^hi+ and CD127− by flow cytometry, and miRNA expression profiling was performed using TaqMan Array Human MicroRNA Panel-1 (384-well low density array). In Tregs of diabetic patients we found significantly increased expression of miRNA-510 (p = 0.05) and decreased expression of both miRNA-342 (p < 0.0001) and miRNA-191 (p = 0.0079). When comparing Tregs and T cells, we revealed that Tregs had significant higher expression of miRNA-146a and lower expression of eight specific miRNAs (20b, 31, 99a, 100, 125b, 151, 335, and 365). To our knowledge, this is the first study demonstrating changes in miRNA expression profiles occurring in Tregs of T1D patients and a miRNAs signature of adult Tregs.     

A dictionary on microRNAs and their putative target pathways

While in the last decade mRNA expression profiling was among the most popular research areas, over the past years the study of non-coding RNAs, especially microRNAs (miRNAs), has gained increasing interest. For almost 900 known human miRNAs hundreds of pretended targets are known. However, there is only limited knowledge about putative systemic effects of changes in the expression of miRNAs and their regulatory influence. We determined for each known miRNA the biochemical pathways in the KEGG and TRANSPATH database and the Gene Ontology categories that are enriched with respect to its target genes. We refer to these pathways and categories as target pathways of the corresponding miRNA. Investigating target pathways of miRNAs we found a strong relation to disease-related regulatory pathways, including mitogen-activated protein kinase (MAPK) signaling cascade, Transforming growth factor (TGF)-beta signaling pathway or the p53 network. Performing a sophisticated analysis of differentially expressed genes of 13 cancer data sets extracted from gene expression omnibus (GEO) showed that targets of specific miRNAs were significantly deregulated in these sets. The respective miRNA target analysis is also a novel part of our gene set analysis pipeline GeneTrail. Our study represents a comprehensive theoretical analysis of the relationship between miRNAs and their predicted target pathways. Our target pathways analysis provides a ‘miRNA-target pathway’ dictionary, which enables researchers to identify target pathways of differentially regulated miRNAs.     

The variant at TGFBRAP1 is significantly associated with type 2 diabetes mellitus and affects diabetes‐related miRNA expression

While the transforming growth factor‐β1 (TGF‐β1) regulates the growth and proliferation of pancreatic β‐cells, its receptors trigger the activation of Smad network and subsequently induce the insulin resistance. A case‐control was conducted to evaluate the associations of the polymorphisms of TGF‐β1 receptor‐associated protein 1 (TGFBRAP1) and TGF‐β1 receptor 2 (TGFBR2) with type 2 diabetes mellitus (T2DM), and its genetic effects on diabetes‐related miRNA expression. miRNA microarray chip was used to screen T2DM‐related miRNA and 15 differential expressed miRNAs were further validated in 75 T2DM and 75 normal glucose tolerance (NGT). The variation of rs2241797 (T/C) at TGFBRAP1 showed significant association with T2DM in case‐control study, and the OR (95% CI) of dominant model for cumulative effects was 1.204 (1.060‐1.370), Bonferroni corrected P < 0.05. Significant differences in the fast glucose and HOMA‐β indices were observed amongst the genotypes of rs2241797. The expression of has‐miR‐30b‐5p and has‐miR‐93‐5p was linearly increased across TT, TC, and CC genotypes of rs2241797 in NGT, P_trend values were 0.024 and 0.016, respectively. Our findings suggest that genetic polymorphisms of TGFBRAP1 may contribute to the genetic susceptibility of T2DM by mediating diabetes‐related miRNA expression.     

Combined small RNA and degradome sequencing reveals microRNA regulation during immature maize embryo dedifferentiation

Genetic transformation of maize is highly dependent on the development of embryonic calli from the dedifferentiated immature embryo. To better understand the regulatory mechanism of immature embryo dedifferentiation, we generated four small RNA and degradome libraries from samples representing the major stages of dedifferentiation. More than 186 million raw reads of small RNA and degradome sequence data were generated. We detected 102 known miRNAs belonging to 23 miRNA families. In total, we identified 51, 70 and 63 differentially expressed miRNAs (DEMs) in the stage I, II, III samples, respectively, compared to the control. However, only 6 miRNAs were continually up-regulated by more than fivefold throughout the process of dedifferentiation. A total of 87 genes were identified as the targets of 21 DEM families. This group of targets was enriched in members of four significant pathways including plant hormone signal transduction, antigen processing and presentation, ECM-receptor interaction, and alpha-linolenic acid metabolism. The hormone signal transduction pathway appeared to be particularly significant, involving 21 of the targets. While the targets of the most significant DEMs have been proved to play essential roles in cell dedifferentiation. Our results provide important information regarding the regulatory networks that control immature embryo dedifferentiation in maize.     

Dynamic expression of microRNAs in M2b polarized macrophages associated with systemic lupus erythematosus

Macrophage polarization contributes to the initiation and perpetuation of systemic lupus erythematosus (SLE). Our previous study demonstrated that M2b polarized macrophages induced by activated lymphocyte-derived DNA (ALD-DNA) have a crucial function in the initiation and progress of SLE disease. Accumulated data suggest that microRNAs (miRNAs) serve as critical regulators to control macrophage polarization. To investigate miRNA regulation during macrophage M2b polarization of SLE, miRNA microarrays of murine bone marrow derived macrophages (BMDMs) were performed following stimulation with ALD-DNA for 6 and 36 h. Over 11% of the 1111 analyzed miRNAs appeared differentially expressed during ALD-DNA triggered macrophage M2b polarization. Cluster analysis revealed certain patterns in miRNA expression that are closely linked to ALD-DNA induced macrophage M2b polarization. Analysis of the network structure showed that the predicted functions of the differentially regulated miRNAs at 6 h are significantly associated with inflammatory response and disease. Differentially regulated miRNAs identified at 36 h were determined to be significantly related to cell proliferation by biological network analysis. In this study, dynamic miRNA expression patterns and network analysis are described for the first time during ALD-DNA induced macrophage M2b polarization. The data not only provide a better understanding of miRNA-mediated macrophage polarization but also demonstrate the future therapeutic potential of targeting miRNAs in SLE patients.     

miR-223 contributes to the AGE-promoted apoptosis via down-regulating insulin-like growth factor 1 receptor in osteoblasts

Advanced glycation end products (AGEs) have been confirmed to induce bone quality deterioration in diabetes mellitus (DM), and to associate with abnormal expression of miRNAs in DM patients or in vitro. Recently, miRNAs have been recognized to mediate the onset or progression of DM. In the present study, we investigated the regulation on miR-223 level by AGE-BSA treatment in osteoblast-like MC3T3-E1 cells, with real-time quantitative PCR assay. And then we examined the inhibition of insulin-like growth factor 1 receptor (IGF-1R) expression by miR-223, via targeting of the 3′ UTR of IGF-1R with real-time quantitative PCR, western blotting and luciferase reporter assay. Then we explored the regulation of miR-223 and IGF-1R levels, via the lentivirus-mediated miR-223 inhibition and IGF-1R overexpression in the AGE-BSA-induced apoptosis in MC3T3-E1 cells. It was demonstrated that AGE-BSA treatment with more than 100 μg/ml significantly up-regulated miR-223 level, whereas down-regulated IGF-1R level in MC3T3-E1 cells. And the up-regulated miR-223 down-regulated IGF-1R expression in both mRNA and protein levels, via targeting the 3′ UTR of IGF-1R. Moreover, though the AGE-BSA treatment promoted apoptosis in MC3T3-E1 cells, the IGF-1R overexpression or the miR-223 inhibition significantly attenuated the AGE-BSA-promoted apoptosis in MC3T3-E1 cells. In summary, our study recognized the promotion of miR-223 level by AGE-BSA treatment in osteoblast-like MC3T3-E1 cells. The promoted miR-223 targeted IGF-1R and mediated the AGE-BSA-induced apoptosis in MC3T3-E1 cells. It implies that miR-223 might be an effective therapeutic target to antagonize the AGE-induced damage to osteoblasts in DM.     

miR-143 decreases COX-2 mRNA stability and expression in pancreatic cancer cells

Small non-coding RNAs, microRNAs (miRNA), inhibit the translation or accelerate the degradation of message RNA (mRNA) by targeting the 3′-untranslated region (3′-UTR) in regulating growth and survival through gene suppression. Deregulated miRNA expression contributes to disease progression in several cancers types, including pancreatic cancers (PaCa). PaCa tissues and cells exhibit decreased miRNA, elevated cyclooxygenase (COX)-2 and increased prostaglandin E₂ (PGE₂) resulting in increased cancer growth and metastases. Human PaCa cell lines were used to demonstrate that restoration of miRNA-143 (miR-143) regulates COX-2 and inhibits cell proliferation. miR-143 were detected at fold levels of 0.41 ± 0.06 in AsPC-1, 0.20 ± 0.05 in Capan-2 and 0.10 ± 0.02 in MIA PaCa-2. miR-143 was not detected in BxPC-3, HPAF-II and Panc-1 which correlated with elevated mitogen-activated kinase (MAPK) and MAPK kinase (MEK) activation. Treatment with 10 μM of MEK inhibitor U0126 or PD98059 increased miR-143, respectively, by 187 ± 18 and 152 ± 26-fold in BxPC-3 and 182 ± 7 and 136 ± 9-fold in HPAF-II. miR-143 transfection diminished COX-2 mRNA stability at 60 min by 2.6 ± 0.3-fold in BxPC-3 and 2.5 ± 0.2-fold in HPAF-II. COX-2 expression and cellular proliferation in BxPC-3 and HPAF-II inversely correlated with increasing miR-143. PGE₂ levels decreased by 39.3 ± 5.0% in BxPC-3 and 48.0 ± 3.0% in HPAF-II transfected with miR-143. Restoration of miR-143 in PaCa cells suppressed of COX-2, PGE₂, cellular proliferation and MEK/MAPK activation, implicating this pathway in regulating miR-143 expression.     

Bioinformatics analysis reveals disturbance mechanism of MAPK signaling pathway and cell cycle in Glioblastoma multiforme

Background & objectives

To analyze the reversal gene pairs and identify featured reversal genes related to mitogen-activated protein kinases (MAPK) signaling pathway and cell cycle in Glioblastoma multiforme (GBM) to reveal its pathogenetic mechanism.

Methods

We downloaded the gene expression profile GSE4290 from the Gene Expression Omnibus database, including 81 gene chips of GBM and 23 gene chips of controls. The t test was used to analyze the DEGs (differentially expressed genes) between 23 normal and 81 GBM samples. Then some perturbing metabolic pathways, including MAPK (mitogen-activated protein kinases) and cell cycle signaling pathway, were extracted from KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway database. Cancer genes were obtained from the database of Cancer Gene Census. The reversal gene pairs between DEGs and cancer genes were further analyzed in MAPK and cell cycle signaling pathway.

Results

A total 8523 DEGs were obtained including 4090 up-regulated and 4433 down-regulated genes. Among them, ras-related protein rab-13(RAB13), neuroblastoma breakpoint family member 10 (NBPF10) and disks large homologue 4 (DLG4) were found to be involved in GBM for the first time. We obtained MAPK and cell cycle signaling pathways from KEGG database. By analyzing perturbing mechanism in these two pathways, we identified several reversal gene pairs, including NRAS (neuroblastoma RAS) and CDK2 (cyclin-dependent kinase 2), CCND1 (cyclin D1) and FGFR (fibroblast growth factor receptor). Further analysis showed that NRAS and CDK2 were positively related with GBM. However, FGFR2 and CCND1 were negatively related with GBM.

Interpretation & conclusions

These findings suggest that newly identified DEGs and featured reversal gene pairs participated in MAPK and cell cycle signaling pathway may provide a new therapeutic line of approach to GBM.     

Identification and expression of microRNA in the brain of hibernating bats, Myotis lucifugus

Recent research has highlighted roles for non-coding RNA i7n the regulation of stress tolerance in bats. In this study, we propose that microRNA could also play an important role in neuronal maintenance during hibernation. To explore this possibility, RT-PCR was employed to investigate the expression of eleven microRNAs from the brain tissue of euthermic control and torpid bats. Results show that eight microRNAs (miR-21, -29b, -103, -107, -124a, -132, -183 and -501) increased (1.2–1.9 fold) in torpid bats, while the protein expression of Dicer, a microRNA processing enzyme, did not significantly change during torpor. Bioinformatic analysis of the differentially expressed microRNA suggests that these microRNAs are mainly involved in two processes: (1) focal adhesion and (2) axon guidance. To determine the extent of microRNA sequence conservation in the bat, we successfully identified bat microRNA from sequence alignments against known mouse (Mus musculus) microRNA. We successfully identified 206 conserved pre-microRNA sequences, leading to the identification of 344 conserved mature microRNA sequences. Sequence homology of the identified sequences was found to be 94.76 ± 3.95% and 98.87 ± 2.24% for both pre- and mature microRNAs, respectively. Results suggest that brain function related to the differentiation of neurons and adaptive neuroprotection may be under microRNA control during bat hibernation.