نتایج جستجو برای: mirna mrna regulatory network
تعداد نتایج: 991763 فیلتر نتایج به سال:
BACKGROUND The aim of this study was to compare the transcriptome between impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM), and further research their molecular mechanisms. MATERIAL AND METHODS The original microarray GSE21321, including miRNA and mRNA expression profiles, was downloaded from the GEO database. Data preprocessing was processed by limma package, and differential...
Identifying functional miRNA–mRNA regulatory modules with correspondence latent dirichlet allocation
MAGIA (http://gencomp.bio.unipd.it/magia2) is an update, extension and evolution of the MAGIA web tool. It is dedicated to the integrated analysis of in silico target prediction, microRNA (miRNA) and gene expression data for the reconstruction of post-transcriptional regulatory networks. miRNAs are fundamental post-transcriptional regulators of several key biological and pathological processes....
Abstract Background and Aims This study aimed to explore the possible role of plasma PBMCs circular RNA (circRNA) in systemic lupus erythematosus (SLE). Method Total was extracted from blood samples obtained 10 patients with SLE healthy controls subjected microarray analysis define profile circRNA expression. The quantitative reverse transcription-polymerase chain reaction amplification (qRT-PC...
Circular RNAs (circRNAs) exhibit a wide range of physiological and pathological activities. To uncover their role in hepatic steatosis, we investigated the expression profile of circRNAs in HepG2-based hepatic steatosis induced by high-fat stimulation. Differentially expressed circRNAs were subjected to validation using QPCR and functional analyses using principal component analysis, hierarchic...
MicroRNAs (miRNAs) are non-coding RNAs with functions of posttranscriptional regulation. The abnormally expressed miRNAs have been shown to be crucial contributors and may serve as biomarkers in many diseases. However, determining the biological function of miRNAs is an ongoing challenge. By combining miRNA targets prediction, miRNA and mRNA expression profiles in TCGA cancers, and pathway data...
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