We examined the aberrant microRNA (miRNA) expression profile responsible for the changes in angiogenesis observed in endometriotic lesions. This study revealed characteristic miRNA expression profiles associated with endometriosis in endometrial tissue and endometriotic lesions from the same patient, and their correlation with the most important angiogenic and fibrinolytic factors. miRNA expression was quantified using a microRNA array and reverse-transcription microRNA polymerase chain reaction.
Deregulation of cardiac miRNA gene-regulatory networks is a feature of different heart diseases, including ischemic (ICM) and nonischemic (NICM) cardiomyopathy. Here, based on the paired miRNA and mRNA expression profiles in ICM and NICM, we identified the differentially expressed miRNAs and mRNAs and the expression signatures distinguishing ICM/NICM from control samples. Furthermore, we constructed a functional miRNA network for each disease.
Epilepsy is one of the most frequent neurological disorders. Recently, the regulation of microRNAs was found to be associated with epilepsy, but the molecular mechanism by which microRNA influences epilepsy process remains to be unveiled and the development of microRNA-based therapy requires more intensive research. In this study, five microRNAs with potential relevance to epilepsy were initially chosen: miR-132, miR-146a, miR-181a, miR-34a, and miR-124. Twenty-five children who were patients with epilepsy were selected as subjects to obtain tissue samples for the study.
MicroRNAs (miRNAs) are major post-transcriptional regulators of gene expression. In an attempt to gain insights into miRNAs at the macroevolutionary level, we performed a systematic analysis of miRNAs in six model organisms based on their evolutionary rates. First, we calculated their miRNA evolutionary rates, and found that they did not correlate with the complexity of the organisms.
This report describes the miRQuest - a novel middleware available in a Web server that allows the end user to do the miRNA research in a user-friendly way. It is known that there are many prediction tools for microRNA (miRNA) identification that use different programming languages and methods to realize this task. It is difficult to understand each tool and apply it to diverse datasets and organisms available for miRNA analysis. miRQuest can easily be used by biologists and researchers with limited experience with bioinformatics.