LncRNAs Landscape in the patients of primary gout by Microarray Analysis
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PROVIDER: PRJNA672168 | ENA |
REPOSITORIES: ENA
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Project description:To determine the expression profile and clinical significance of long non-coding RNAs (lncRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human lncRNA microarrays were used to identify the differentially expressed lncRNAs and mRNAs in primary gout (n=6) and healthy subjects (n=6). Bioinformatics analyses were performed to predict the roles of differently expressed lncRNAs and mRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the results in 64 gout patients, and 32 healthy control subjects (HC). The microarray analysis identified 1479 differentially expressed lncRNAs (879 up-regulated and 600 down-regulated), 862 differentially expressed mRNAs (390 up-regulated and 472 down-regulated) in primary gout (fold change>2, P<0.05), respectively. The bioinformatic analysis indicated that the differentially expressed lncRNAs regulated the abnormally expressed mRNAs, which were involved in the pathogenesis of gout through several different pathways. Significant association was observed between these lncRNAs and the Clinical inflammation indicators and lipid metabolism indicators. Our results provide novel insight into the mechanisms of primary gout, and reveal that ENST00000566457 and NR-026756 could effectively discriminate the gout group and the healthy control groups.
2020-11-03 | GSE160170 | GEO
Project description:To determine the expression profile and clinical significance of long non-coding RNAs (lncRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human lncRNA microarrays were used to identify the differentially expressed lncRNAs and mRNAs in primary gout patients (n = 6) and healthy control subjects (n = 6). Bioinformatics analyses were performed to predict the roles of differently expressed lncRNAs and mRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect the expression levels of 8 lnRNAs in 64 primary gout patients and 32 healthy control subjects. Spearman's correlation was used to analyze the correlation between these eight lncRNAs and the laboratory values of gout patients. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic value of the lncRNAs identified in gout. The microarray analysis identified 1479 differentially expressed lncRNAs (879 more highly expressed and 600 more lowly expressed), 862 differentially expressed mRNAs (390 more highly expressed and 472 more lowly expressed) in primary gout (fold change > 2, P < 0.05), respectively. The bioinformatic analysis indicated that the differentially expressed lncRNAs regulated the abnormally expressed mRNAs, which were involved in the pathogenesis of gout through several different pathways. The expression levels of TCONS_00004393 and ENST00000566457 were significantly increased in the acute gout flare group than those in the intercritical gout group or healthy subjects (P<0.01). Moreover, inflammation indicators were positive correlated with TCONS_00004393 and ENST00000566457 expression levels. The areas under the ROC curve of ENST00000566457 and NR-026756 were 0.868 and 0.948, respectively. Our results provide novel insight into the mechanisms of primary gout, and reveal that TCONS_00004393 and ENST00000566457 might be as candidate targets for the treatment of gout flare; ENST00000566457 and NR-026756 could effectively discriminate between the gout and the healthy control groups.
| S-EPMC7891695 | biostudies-literature
Project description:To determine the expression profile and clinical significance of circular RNAs (circRNAs) in peripheral blood mononuclear cells (PBMCs) of patients with primary gout and healthy control subjects. Human circRNA microarrays were used to identify the differentially expressed circRNAs in primary gout (Gout, n = 5) and healthy subjects (HC, n = 3). Bioinformatics analyses were performed to predict the roles of differently expressed circRNAs. Quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the results in 90 gout patients, and 60 healthy control subjects (HC). Microarray analysis indicated that 238 circRNAs were up-regulated and 41 circRNAs were down-regulated in the Gout group (Fold change>1.5, p-value<0.05). Bioinformatics analysis showed that differentially expressed circRNAs were involved in the pathogenesis of gout through a variety of different pathways. Significant association was observed between these circRNAs and lipid metabolism indicators. Our results provide novel insight into the mechanisms of primary gout, and reveal that hsa_circRNA_103657 could effectively discriminate the gout group and the healthy control groups.
2021-06-25 | GSE178825 | GEO
Project description:To find potential lncRNAs participating in the regulation of microglial polarization, we employed microarray screening to find differentially expressed lncRNAs between resting and IL-4 stimulated primary cultured microglia
2017-05-24 | GSE99216 | GEO
Project description:To define the translational landscape of Xrn1-sensitive lncRNAs in yeast, we performed Ribo-Seq in WT and upf1 mutant cells, in native conditions or upon treatment with translation elongation inhibitor (cycloheximide).
2024-02-20 | GSE203278 | GEO
Project description:LncRNAs are key regulatory molecules involved in a variety of biological process and human diseases. However, the pathological effects of lncRNAs on primary varicose great saphenous veins (GSVs) remain unclear. In this study, we aimed at identifying aberrantly expressed lncRNAs involved in the prevalence of GSV varicosities and exploring their potential regulating effects. 6 paired tissues of the varicose great saphenous vein patient were used to compare the expression differences between varicose veins (VVs) and adjacent normal segments of saphenous veins (NVs) in the study. The lncRNA and mRNA expression profile of 6 paired vein tissues were studied using the microarry.
2013-10-01 | E-GEOD-51260 | biostudies-arrayexpress
Project description:Our study is the first one to determine genome-wide lncRNAs expression patterns in cumulus cells of PCOS patients by microarray. The results displayed that clusters of lncRNAs (n=623) were aberrantly expressed in PCOS patients compared with non-PCOS patients. Many differentially expressed lncRNAs were transcribed from regions on chromosome 2 and classified into enhancer-like lncRNA subgroup. XLOC_011402 (PWRN2) was found for the first time that it was not only expressed in testis but also in cumulus cells. All the results revealed that lncRNAs differentially expressed in cumulus cells may exert a partial or key role in hormone abnormalities of PCOS patients and maybe impact on oocyte development. Taken together, this study may provide potential targets for further treatment of PCOS and novel insights into oocyte development.
2016-02-01 | GSE65746 | GEO
Project description:Inflammatory bowel disease (IBD) is a complex multi-factorial inflammatory disease with Crohn’s disease (CD) and ulcerative colitis (UC) being the two most common forms. A number of transcriptional profiling studies have provided compelling evidence that describe the role of protein-coding genes and microRNAs in modulating the immune responses in IBD. In the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in inflamed and non-inflamed colon pinch biopsies from the IBD patients using expression microarrays platform. In this study, we identified widespread dysregulation of lncRNAs and protein-coding genes in both inflamed and non-inflamed CD and UC compared to the healthy controls. In case of inflamed CD and UC (iCD and iUC), we identified 438 and 745 differentially expressed lncRNAs, respectively, while in case of the non-inflamed CD and UC (niCD and niUC), we identified 12 and 19 differentially expressed lncRNAs, respectively. We also observed significant enrichment (p-value < 0.001, Pearson’s Chi-squared test) for 96 differentially expressed lncRNAs and 154 protein-coding genes within the IBD susceptibility loci. Furthermore, we found strong positive expression correlations for the intersecting and cis-neighboring differentially expressed IBD loci-associated lncRNA-protein-coding gene pairs. The functional annotation analysis of differentially expressed genes revealed that they are involved in immune response, pro-inflammatory cytokine activity and MHC protein complex. The lncRNA expression profiling in both inflamed and non-inflamed CD and UC, successfully stratified IBD patients from the healthy controls. Taken together, the identified lncRNA transcriptional signature along with clinically relevant parameters suggests their potential as biomarkers in IBD. A total of 96 biopsy samples (including 6 samples used as technical replicates) extracted from different colonic locations from 45 patients (CD=13, UC=20, Controls=12) were profiled using Agilent Custom 8x60K format lncRNA expression microarray. In Gencode v15 lncRNA microarray design, each lncRNA transcript is targeted by two probes covering 22,001 lncRNA transcripts corresponding to 12,963 lncRNA genes. In addition, each array contains 17,535 randomly-selected protein-coding targets, of which 15,182 (unique 12,787) correspond to protein-coding genes.
2015-04-10 | E-GEOD-67106 | biostudies-arrayexpress
Project description:Long noncoding RNAs (lncRNAs) have potential applications in clinical diagnosis and targeted cancer therapies. However, the expression profile of lncRNAs in colorectal cancer (CRC) initiation and progression is still unclear.In the present study, the expression profiles of lncRNAs and mRNAs were determined by microarray at specific tumor stages in an AOM/DSS-induced primary colon cancer model.
2018-10-12 | GSE121128 | GEO
Project description:The location of nasophryngeal cancer is hidden,so ti is difficult to diagnose at an early stage.In this study,we aimed to investigate expression profiles of circRNAs,mRNAs and IncRNAs and to provide some basis for further study.The expression profiles of circRNAs, mRNAs and lncRNAs were analyzed by microarray technology. The differentially expressed ncRNA was calculated by bioinformatics. Our study characterized the landscape of circRNAs, mRNAs and lncRNAs in NPC tissue and provided novel insights into the molecular mechanisms of NPC.
2023-12-01 | GSE218847 | GEO