Project description:Our previous studies have demonstrated that stable microRNAs (miRNAs) in mammalian serum and plasma are actively secreted from tissues and cells and can serve as a novel class of biomarkers for diseases, and act as signaling molecules in intercellular communication. Here, we report the surprising finding that exogenous plant miRNAs are present in the sera and tissues of various animals and that these exogenous plant miRNAs are primarily acquired orally, through food intake.
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis.
Project description:microRNA profiles of Exosomes from Pooled NPC Patients serum comparing Control Exosomes from Healthy donors serum Two-condition experiment, Exosomes from Pooled Healthy donors serum vs. Exosomes from Pooled NPC Patients serum. Biological replicates: 1 Exosomes from Pooled Healthy donors serum, 1 Exosomes from Pooled NPC Patients serum,
Project description:Moyamoya disease (MMD) is a cerebrovascular disease characterized by progressive stenosis of the intracranial internal carotid arteries and their proximal branches. However, the etiology of this rare disease remains widely unknown. Serum microRNA (miRNA) profiles have been screened to identify novel biomarkers for disease diagnosis and prognosis. Here, we identified important serum miRNAs that might play important roles in contributing to MMD pathogenesis through microarray analysis. 10 MMD patients and 10 controls were consecutively recruited at Shanghai Changhai Hospital. Five-ml venous blood was collected from each participant and separated into serum and cellular fractions. We pooled serum samples from 10 MMD patients and 10 controls. Agilent Human 8 x 60K miRNA Array was performed on the two pooled samples.
Project description:A miRNA microarray was performed from HCV infected patient serum samples of bothe genotype 1b and genotype 3a, which are prevalent in India, with the aim of identifying a set of miRNAs which are uniquely differentially expressed during HCV infection. miR-320c, miR-483-5p, miR-134 and miR-198 were found to be upregulated in the patient samples as compared to the controls and are currenty being validated.
Project description:A miRNA microarray was performed from HCV infected patient serum samples of bothe genotype 1b and genotype 3a, which are prevalent in India, with the aim of identifying a set of miRNAs which are uniquely differentially expressed during HCV infection. miR-320c, miR-483-5p, miR-134 and miR-198 were found to be upregulated in the patient samples as compared to the controls and are currenty being validated. Agilent one-color experiment, Organism: Homo sapiens , Agilent Human miRNA 8x15k Arrays AMADID: 021827 [Agilent miRNA labeling reagent and Hybridization Kit Cat # 5190-0408]
Project description:We investigated whether levels of serum microRNAs (miRNAs) could discriminate women with high-grade serous ovarian epithelial cancer (SEOC) from age matched healthy volunteers. miRNA expression profiling was performed on 4 SEOC cell lines and normal human ovarian surface epithelial cells (HOSE). miR-182, miR-200a, b and c were highly overexpressed in the SEOC cell lines. miR-103, miR-92a and miR-638 displayed relatively invariant expression and with RNU48, were assessed, as putative serum miRNA normalizers. The 7 miRNA and RNU48 were assessed in serum from SEOC patients (n = 30) and age-matched healthy volunteers (n = 32) by qRT-PCR following pre-amplification. No correlation between age and miRNA or RNU48 levels was observed (age range 30-79 years). miR-103 demonstrated the least variance and was chosen to normalize serum volume adjusted results. miR-200a, b and c were significantly elevated in SEOC serum (P = 0.002; 0.003; 0.0003 respectively) and a multivariate model was the best predictive classifier of SEOC (ROC-AUC = 0.806). A correlation between high miR-200b levels and residual macroscopic disease following cytoreductive surgery was identified (P = 0.006). Our results suggest that serum miR-200a, b and c may have utility as diagnostic biomarkers for SEOC.