miRNA targets: from prediction tools to experimental validation

G Riolo, S Cantara, C Marzocchi, C Ricci - Methods and protocols, 2020 - mdpi.com
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression in both animals
and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs …

Emerging biosensing approaches for microRNA analysis

RM Graybill, RC Bailey - Analytical chemistry, 2016 - ACS Publications
Background and Relevance. Since their discovery more than 2 decades ago in C. elegans,
1 microRNAs (miRNAs) have emerged as an important class of nonprotein coding RNA …

Predicting effective microRNA target sites in mammalian mRNAs

V Agarwal, GW Bell, JW Nam, DP Bartel - elife, 2015 - elifesciences.org
MicroRNA targets are often recognized through pairing between the miRNA seed region
and complementary sites within target mRNAs, but not all of these canonical sites are …

Regulation of cell-type-specific transcriptomes by microRNA networks during human brain development

TJ Nowakowski, N Rani, M Golkaram, HR Zhou… - Nature …, 2018 - nature.com
MicroRNAs (miRNAs) regulate many cellular events during brain development by interacting
with hundreds of mRNA transcripts. However, miRNAs operate nonuniformly upon the …

MicroRNA binding sites in the coding region of mRNAs: extending the repertoire of post‐transcriptional gene regulation

A Brümmer, J Hausser - Bioessays, 2014 - Wiley Online Library
It is well established that microRNAs (miRNAs) induce mRNA degradation by binding to 3′
untranslated regions (UTRs). The functionality of sites in the coding domain sequence …

Strand-specific RNA sequencing in Plasmodium falciparum malaria identifies developmentally regulated long non-coding RNA and circular RNA

KM Broadbent, JC Broadbent, U Ribacke, D Wirth… - BMC genomics, 2015 - Springer
Background The human malaria parasite Plasmodium falciparum has a complex and multi-
stage life cycle that requires extensive and precise gene regulation to allow invasion and …

MicroRNA detection: current technology and research strategies

EA Hunt, D Broyles, T Head… - Annual review of analytical …, 2015 - annualreviews.org
The relatively new field of microRNA (miR) has experienced rapid growth in methodology
associated with its detection and bioanalysis as well as with its role in-omics research …

LncMirNet: predicting LncRNA–miRNA interaction based on deep learning of ribonucleic acid sequences

S Yang, Y Wang, Y Lin, D Shao, K He, L Huang - Molecules, 2020 - mdpi.com
Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that
play significant regulatory roles in many life processes. There is cumulating evidence …

In silico methods for predicting functional synonymous variants

BC Lin, U Katneni, KI Jankowska, D Meyer… - Genome Biology, 2023 - Springer
Single nucleotide variants (SNVs) contribute to human genomic diversity. Synonymous
SNVs are previously considered to be “silent,” but mounting evidence has revealed that …

Comprehensive overview and assessment of computational prediction of microRNA targets in animals

X Fan, L Kurgan - Briefings in bioinformatics, 2015 - academic.oup.com
MicroRNAs (miRNAs) are short endogenous noncoding RNAs that bind to target mRNAs,
usually resulting in degradation and translational repression. Identification of miRNA targets …