Small RNA targets: advances in prediction tools and high-throughput profiling

K Grešová, P Alexiou, IC Giassa - Biology, 2022 - mdpi.com
Simple Summary MicroRNAs (miRNAs) are a category of small RNAs (sRNAs) that have
been found to regulate gene expression. Through the mediation of proteins from the …

MiRNA fine tuning for crop improvement: using advance computational models and biotechnological tools

A Abbas, AN Shah, M Tanveer, W Ahmed… - Molecular Biology …, 2022 - Springer
MiRNAs modulate target genes expression at post-transcriptional levels, by reducing spatial
abundance of mRNAs. MiRNAs regulats plant metabolism, and emerged as regulators of …

MicroRNA target prediction tools for animals: Where we are at and where we are going to-A systematic review

RMMW Feitosa, P Prieto-Oliveira, H Brentani… - … Biology and Chemistry, 2022 - Elsevier
MicroRNAs (miRNAs) are non-coding RNAs containing 19–26 nucleotides, and they directly
regulate the translation of mRNAs by binding to them. MiRNAs participate in various …

MicroRNA-focused CRISPR/Cas9 screen identifies miR-142 as a key regulator of Epstein-Barr virus reactivation

Y Chen, RP Kincaid, K Bastin, DN Fachko… - PLoS …, 2024 - journals.plos.org
Reactivation from latency plays a significant role in maintaining persistent lifelong Epstein-
Barr virus (EBV) infection. Mechanisms governing successful activation and progression of …

Comprehensive machine-learning-based analysis of microRNA–target interactions reveals variable transferability of interaction rules across species

G Ben Or, I Veksler-Lublinsky - BMC bioinformatics, 2021 - Springer
Background MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene
expression post-transcriptionally via base-pairing with complementary sequences on …

[HTML][HTML] RNA-bioinformatics: tools, services and databases for the analysis of RNA-based regulation

R Backofen, J Engelhardt, A Erxleben, J Fallmann… - Journal of …, 2017 - Elsevier
The importance of RNA-based regulation is becoming more and more evident. Genome-
wide sequencing efforts have shown that the majority of the DNA in eukaryotic genomes is …

Literature review of baseline information to support the risk assessment of RNA i‐based GM plants

J Paces, M Nic, T Novotny… - EFSA Supporting …, 2017 - Wiley Online Library
This report is the outcome of an EFSA procurement aiming at investigating and summarising
the state of knowledge on (I) the mode-of-action of dsRNA and miRNA pathways,(II) the …

An ensemble svm model for the accurate prediction of non-canonical microrna targets

A Ghoshal, A Grama, S Bagchi, S Chaterji - Proceedings of the 6th ACM …, 2015 - dl.acm.org
Background MicroRNAs are small non-coding endogenous RNAs that are responsible for
post-transcriptional regulation of genes. Given that large numbers of human genes are …

[HTML][HTML] Advanced computational predictive models of miRNA-mRNA interaction efficiency

S Bader, T Tuller - Computational and Structural Biotechnology Journal, 2024 - Elsevier
The modeling of miRNA-mRNA interactions holds significant implications for synthetic
biology and human health. However, this research area presents specific challenges due to …

A high-throughput 3'UTR reporter screening identifies microRNA interactomes of cancer genes

G Van Peer, E Mets, S Claeys, I De Punt, S Lefever… - PLoS …, 2018 - journals.plos.org
Introduction Despite the established contribution of deregulated microRNA (miRNA) function
to carcinogenesis, relatively few miRNA-cancer gene interactions have been validated …