It came to our attention that a paper has recently been published concerning one of the GEO datasets (GSE34413) we cited in our published paper [1]. The original reference (reference 27) cited for this dataset leads to a paper about a similar study from the same research group [2]. In order to provide readers with exact citation information, we would like to update reference 27 in our previous ...

objective: micrornas (mirnas) are single-stranded small rnas 18-25 nucleotides in length that regulate gene expression through translational inhibition and mrna cleavage. aberrant expression of mirnas contribute to several diseases. this has increased interest in profiling the expressions of these molecules. real-time quantitative pcr (rq-pcr) is a sensitive, quantitative technique for gene exp...

MicroRNAs (miRNAs) are small, noncoding regulatory molecules. They are involved in many essential biological processes and act by suppressing gene expression. The present work reports an integrative analysis of miRNA-mRNA and miRNA-miRNA interactions and their regulatory patterns using high-throughput miRNA and mRNA datasets. Aberrantly expressed miRNA and mRNA profiles were obtained based on f...

This report demonstrates the ability of a microfluidic device to maintain human Graves' disease tissue enabling isolation and characterisation specific exosomes. (n = 7) non-Graves’ (Hashimoto's thyroiditis, n 3; follicular adenoma, 1) was incubated in for 6 days ± dexamethasone or methimazole effluent analysed size concentration extracellular vesicles (EV) using nanoparticle tracking analysis....

Hypertrophic cardiomyopathy (HCM), characterized by asymmetric left ventricular hypertrophy, can lead to severe arrhythmias and sudden cardiac death. The mechanism underlying hypertrophy in HCM has not been fully elucidated. We recently showed that the messenger RNA (mRNA) transcriptome derived from myectomy tissue is gene expression reprogramming predominant transcriptional down-regulation of ...

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Genetic regulation of organisms involves complicated RNA–RNA interactions (RRIs) among messenger RNA (mRNA), microRNA (miRNA), and long non-coding (lncRNA). Detecting RRIs is beneficial for discovering biological mechanisms as well designing new drugs. In recent years, with more experimentally verified being deposited into databases, statistical machine learning, especially deep-learning-based ...