MicroRNAs and complex diseases: from experimental results to computational models

X Chen, D Xie, Q Zhao, ZH You - Briefings in bioinformatics, 2019 - academic.oup.com
Plenty of microRNAs (miRNAs) were discovered at a rapid pace in plants, green algae,
viruses and animals. As one of the most important components in the cell, miRNAs play a …

HMDD v3. 0: a database for experimentally supported human microRNA–disease associations

Z Huang, J Shi, Y Gao, C Cui, S Zhang, J Li… - Nucleic acids …, 2019 - academic.oup.com
Comprehensive databases of microRNA–disease associations are continuously demanded
in biomedical researches. The recently launched version 3.0 of Human MicroRNA Disease …

miARma-Seq, a comprehensive pipeline for the simultaneous study and integration of miRNA and mRNA expression data

E Andrés-León, AM Rojas - Methods, 2019 - Elsevier
Messenger RNAs (mRNAs) fulfil specific biological roles in cells and, thus, their expression
may be adapted to suit specific circumstances. This is in part achieved through selective …

Multi-view manifold regularized learning-based method for prioritizing candidate disease miRNAs

Q Xiao, J Dai, J Luo, H Fujita - Knowledge-Based Systems, 2019 - Elsevier
MicroRNAs (miRNAs) are emerging as key regulators and have been reported to play
critical roles in diverse cellular processes. Previous findings have shown that aberrant …

maTE: discovering expressed interactions between microRNAs and their targets

M Yousef, L Abdallah, J Allmer - Bioinformatics, 2019 - academic.oup.com
Motivation Disease is often manifested via changes in transcript and protein abundance.
MicroRNAs (miRNAs) are instrumental in regulating protein abundance and may …

[HTML][HTML] Elevated plasma microRNA-105-5p level in patients with idiopathic Parkinson's disease: a potential disease biomarker

Z Yang, T Li, Y Cui, S Li, C Cheng, B Shen… - Frontiers in …, 2019 - frontiersin.org
Parkinson's disease (PD) is the second most common neurodegenerative disease, which
still lacks a biomarker to aid in diagnosis and to differentiate diagnosis at the early stage of …

[HTML][HTML] Transcriptome analysis of miRNA and mRNA in the livers of pigs with highly diverged backfat thickness

K Xing, X Zhao, H Ao, S Chen, T Yang, Z Tan… - Scientific reports, 2019 - nature.com
Fat deposition is very important in pig production, and its mechanism is not clearly
understood. MicroRNAs (miRNAs) play critical roles in fat deposition and energy …

Computational resources for prediction and analysis of functional miRNA and their targetome

I Monga, M Kumar - Computational Biology of Non-Coding RNA: Methods …, 2019 - Springer
Abstract microRNAs are evolutionarily conserved, endogenously produced, noncoding
RNAs (ncRNAs) of approximately 19–24 nucleotides (nts) in length known to exhibit gene …

Analysis of the role of mutations in the KMT 2D histone lysine methyltransferase in bladder cancer

B Ding, L Yan, Y Zhang, Z Wang, Y Zhang… - FEBS open …, 2019 - Wiley Online Library
Histone lysine methyltransferases (HMT) comprise a subclass of epigenetic regulators;
dysregulation of these enzymes affects gene expression, which may lead to tumorigenesis …

Computational prediction of functional microRNA–mRNA interactions

MD Saçar Demirci, M Yousef, J Allmer - … of Non-Coding RNA: Methods and …, 2019 - Springer
Proteins have a strong influence on the phenotype and their aberrant expression leads to
diseases. MicroRNAs (miRNAs) are short RNA sequences which posttranscriptionally …