Expression of miR-15b, miR-29b, miR-219 and miR-222 microRNAs in rats with focal cerebral ischemia submitted to physical exercise
Decrypting the microRNA signatures in gastric cancer using high-throughput miRNA array coupled with systems biological approaches for precision medicine
Association of miR-196a2, miR-27a, and miR-499 polymorphisms with isolated congenital heart disease in a Chinese population
Congenital heart disease (CHD), defined as clinically structural heart defects present before and at birth, is the leading cause of serious infant morbidity and mortality worldwide. The incidence of CHD at birth was 10-12 per 1000 live births in 2013 (Hoffman, 2013). Similarly, in China the overall incidence based on epidemiological studies was 8 per 1000 live births in 2011, an approximate increase of 6.7 times compared with 1996 (Yu et al., 2014).
Biological analysis of chronic lymphocytic leukemia: integration of mRNA and microRNA expression profiles
Chronic lymphocytic leukemia (CLL) is a disease that involves progressive accumulation of nonfunctioning lymphocytes and has a low cure rate. There is an urgent requirement to determine the molecular mechanism underlying this disease in order to improve the early diagnosis and treatment of CLL. In this study, genes differentially expressed between CLL samples and age-matched controls were identified using microRNA (miRNA) and mRNA expression profiles. Differentially expressed (DE) miRNA targets were predicted by combining five algorithms.
Alpaca fiber growth is mediated by microRNA let-7b via down-regulation of target gene FGF5
MicroRNAs are very small endogenous RNA molecules that play a crucial role in an array of biological processes, including regulation of skin morphogenesis. The microRNA let-7b is thought to modulate animal hair growth, by binding target genes that encode growth factors. Fibroblast growth factor 5 (FGF5) has been previously reported to be involved in the initiation of the catagen phase of hair growth.
Correlation of miR-494 expression with tumor progression and patient survival in pancreatic cancer
MicroRNA-494 (miR-494) expression is aberrant in various types of human cancer. However, the prognostic value of miR-494 in pancreatic cancer remains unclear. The level of miR-494 expression was determined in 99 pairs of primary pancreatic cancer and their corresponding, adjacent non-tumor tissues by using quantitative reverse transcriptase polymerase chain reaction. We also analyzed the associations between miR-494 expression and clinicopathological features. The survival correlations were analyzed by using the Kaplan-Meier method and Cox proportional hazards model.
Association between five common polymorphisms in microRNA genes and the risk of gastric cancer: a meta-analysis
Gastric cancer (GC) is a prevalent disease with a high mortality rate, especially in developing countries. Accumulating evidence suggests that single nucleotide polymorphisms in microRNA (miRNA) genes might influence the susceptibility to GC; such sequence variation might contribute to the development of disease by altering crucial cellular pathways. In this study, we assessed the correlation between the miR-146a G>C, miR-196a-2 C>T, miR-499 T>C, miRNA-27a A>G, and miRNA-149 T>C polymorphisms and the susceptibility to GC.
Computational identification and characterization of conserved miRNAs and their target genes in beet (Beta vulgaris)
Highly conserved endogenous non-coding microRNAs (miRNAs) play important roles in plants and animals by silencing genes via destruction or blocking of translation of homologous mRNA. Sugar beet, Beta vulgaris, is one of the most important sugar crops in China, with properties that include wide adaptability and strong tolerance to salinity and impoverished soils. Seedlings of B.
Integrated microRNA-mRNA analysis of pancreatic ductal adenocarcinoma
The main aim of this study was to explore the underlying molecular mechanisms and potential target molecules of pancreatic adenocarcinoma. The miRNA (GSE32678) and mRNA (GSE32676) expression profiles of patients with pancreatic ductal adenocarcinoma and healthy controls were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNA and differentially expressed genes were identified by analyzing the microarray algorithm after data preprocessing. Functional analysis was conducted by the Database for Annotation, Visualization and Integrated Analysis.