Dataset Information

Integrated microRNA?gene analysis of coronary artery disease based on miRNA and gene expression profiles.

ABSTRACT: The present study aimed to investigate the key genes and microRNAs (miRNA/miRs) associated with coronary artery disease (CAD) progression. The gene expression profile of GSE20680 and GSE12288, and the miRNA expression profile of GSE28858 were downloaded from the gene expression omnibus database. The differentially expressed genes (DEGs) in GSE20680 and GSE12288, and the differentially expressed miRNAs in GSE28858 were screened using the limma package in R software. Common DEGs between GSE20680 and GSE12288 were selected. Functions and pathways of DEGs and miRNAs were enriched using the DAVID tool from the GO and KEGG databases. The regulatory network of miRNA and selected CAD?associated DEGs was constructed. A total of 270 DEGs (167 upregulated and 103 downregulated) based on the GSE20680 dataset, and 2,268 DEGs (534 upregulated and 1,734 downregulated) based on the GSE12288 dataset, were screened. For the differentially expressed miRNAs, 214 were identified (102 upregulated and 112 downregulated) in CAD samples and were screened. Interferon regulatory factor 2 (IRF2) and cell death?inducing DFFA?like effector b (CIDEB), which are regulated by signal transducer and activator of transcription 3 and myc?associated factor X, were identified as common DEGs for CAD. miR?455?5p, miR?455?3p and miR?1257, which are involved in the major histocompatibility complex (MHC)protein assembly pathway and peptide antigen assembly with MHC class I protein complex pathway, may regulate various miRNAs and target genes, including pro?opiomelancortin (POMC), toll?like receptor 4 (TLR4), interleukin 10 (IL10), activating transcription factor 6 (ATF6) and calreticulin (CALR). The current study identified IRF2 and CIDEB as crucial genes, and miRNA?455?5p, miRNA?455?3p and miR?1257 along with their target genes POMC, TLR4 and CALR, as miRNAs involved in CAD progression. Thus, the present study may provide a basis for future research into the progression mechanism of CAD.

SUBMITTER: Xu X

PROVIDER: S-EPMC4805068 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.

Xu Xiangdong X Li Hongsong H

Molecular medicine reports 20160223 4

The present study aimed to investigate the key genes and microRNAs (miRNA/miRs) associated with coronary artery disease (CAD) progression. The gene expression profile of GSE20680 and GSE12288, and the miRNA expression profile of GSE28858 were downloaded from the gene expression omnibus database. The differentially expressed genes (DEGs) in GSE20680 and GSE12288, and the differentially expressed miRNAs in GSE28858 were screened using the limma package in R software. Common DEGs between GSE20680 a ...[more]

PMID: 26936111

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Project description:BackgroundAccumulating evidences demonstrated that microRNA-target gene pairs were closely related to tumorigenesis and development. However, the correlation between miRNA and target gene was insufficiently understood, especially its changes between tumor and normal tissues.ObjectivesThe aim of this study was to evaluate the changes of correlation of miRNAs-target pairs between normal and tumor.Materials and methods5680 mRNA and 5740 miRNA expression profiles of 11 major human cancers were downloaded from the Cancer Genome Atlas (TCGA). The 11 cancer types were bladder urothelial carcinoma, breast invasive carcinoma, head and neck squamous cell carcinoma, kidney chromophobe, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, stomach adenocarcinoma, and thyroid carcinoma. For each cancer type, we firstly obtained differentially expressed miRNAs (DEMs) and genes (DEGs) in tumor and then acquired critical miRNA-target gene pairs by combining DEMs, DEGs and two experimentally validated miRNA-target interaction databases, miRTarBase and miRecords. We collected samples with both miRNA and mRNA expression values and performed a correlation analysis by Pearson method for miRNA-target pairs in normal and tumor, respectively.ResultsWe totally got 4743 critical miRNA-target pairs across 11 cancer types, and 4572 of them showed weaker correlation in tumor than in normal. The average correlation coefficients of miRNA-target pairs were different greatly between normal (-0.38 ~ -0.61) and tumor (-0.04 ~ -0.26) for 11 cancer type. The pan-cancer network, which consisted of 108 edges connecting 35 miRNAs and 89 target genes, showed the interactions of pairs appeared in multicancers.ConclusionsThis comprehensive analysis revealed that correlation between miRNAs and target genes was greatly reduced in tumor and these critical pairs we got were involved in cellular adhesion, proliferation, and migration. Our research could provide opportunities for investigating cancer molecular regulatory mechanism and seeking therapeutic targets.

Project description:Several studies have investigated miRNA and mRNA co-expression to identify regulatory networks at the transcriptional level. A typical finding of these studies is the presence of both negative and positive miRNA-mRNA correlations. Negative correlations are consistent with the expected, faster degradation of target mRNAs, whereas positive correlations denote the existence of feed-forward regulations mediated by transcription factors. Both mechanisms have been characterized at the molecular level, although comprehensive methods to represent miRNA-mRNA correlations are lacking. At present, genome-wide studies are able to assess the expression of more than 1000 mature miRNAs and more than 35,000 well-characterized human genes. Even if studies are generally restricted to a small subset of genes differentially expressed in specific diseases or experimental conditions, the number of potential correlations remains very high, and needs robust multivariate methods to be conveniently summarized by a small set of data.Nonparametric Kendall correlations were calculated between miRNAs and mRNAs differentially expressed in livers of patients with acute liver failure (ALF) using normal livers as controls. Spurious correlations due to the histopathological composition of samples were removed by partial correlations. Correlations were then transformed into distances and processed by multidimensional scaling (MDS) to map the miRNA and mRNA relationships. These showed: (a) a prominent displacement of miRNA and mRNA clusters in ALF livers, as compared to control livers, indicative of gene expression dysregulation; (b) a clustering of mRNAs consistent with their functional annotations [CYP450, transcription factors, complement, proliferation, HLA class II, monocytes/macrophages, T cells, T-NK cells and B cells], as well as a clustering of miRNAs with the same seed sequence; and (c) a tendency of miRNAs and mRNAs to populate distinct regions of the MDS plot. MDS also allowed to visualize the network of miRNA-mRNA target pairs.Different features of miRNA and mRNA relationships can be represented as thematic maps within the framework of MDS obtained from pairwise correlations. The symmetric distribution of positive and negative correlations between miRNA and mRNA expression suggests that miRNAs are involved in a complex bidirectional molecular network, including, but not limited to, the inhibitory regulation of miRNA targets.

Project description:Coronary artery disease (CAD) is the leading cause of human morbidity and mortality worldwide, underscoring the need to improve diagnostic strategies. Platelets play a major role, not only in the process of acute thrombosis during plaque rupture, but also in the formation of atherosclerosis itself. MicroRNAs are endogenous small non-coding RNAs that control gene expression and are expressed in a tissue and disease-specific manner. Therefore they have been proposed to be useful biomarkers. The aim of this study was to investigate whether differences in miRNA expression levels in platelets can be found (i) between patients with premature CAD and healthy controls and (ii) within healthy controls after and before aspirin and statin administration. In this case-control study we measured expression levels of platelet miRNAs using microarrays from 40 male patients with premature CAD and 40 age- and sex-matched healthy controls. Premature CAD was defined as a cardiac event before the age of 51 years. The patients were selected from the outpatient clinic of the Academic Medical Center (AMC) of Amsterdam, which is specialised in premature CAD. The control cohort was composed of 40 healthy Caucasian male volunteers, who were recruited by advertisement and who were matched with the cases for age and smoking habits. Individuals of this control cohort did not have a history of CVD, nor did they have a positive family history of CVD and they were not allowed to use any medication. Patients and controls were excluded when they suffered from diabetes. Most CAD patients use aspirin and statins as secondary prevention. The influence of these drugs on miRNA profiles is unknown. To assess the possible influence of medication on miRNA expression and to control for medication as confounding factor, we asked 27 volunteers in our control cohort to also use these drugs. We administered simvastatin 40 mg, once daily, for 6 weeks and during the last two weeks we added 100mg of acetyl salicylic acid, once daily. Blood samples including isolated platelets were collected at baseline in the absence of aspirin and statins and after six weeks of medication use. We also assessed platelet function using the Multiplate® Analyzer (Roche) in the absence of aspirin and statin use. In short, 300 µl whole blood was diluted with 300 µl 0.9% saline and stirred for 3 minutes at 37 ºC. Adenosine diphosphate (ADP) was added in a final concentration of 2.5 ?mol/L to initiate platelet aggregation. Aggregation was measured for 6 minutes and was reported in arbitrary aggregation units plotted against time. Also, the area under the aggregation curve (AUC) was measured. All samples were measured in the absence and presence of 200 ?mol/L indomethacin (20 min incubation with blood) to mimic the effect of aspirin use. We calculated the percentage reduction in AUC after incubation with indomethacin as an in vitro measure of the effect of aspirin use on whole blood platelet aggregation.

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Integrated microRNA?gene analysis of coronary artery disease based on miRNA and gene expression profiles.

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Integrated microRNA‑gene analysis of coronary artery disease based on miRNA and gene expression profiles.

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