» Articles » PMID: 16736023

MicroRNA Target Predictions in Animals

Overview
Journal Nat Genet
Specialty Genetics
Date 2006 Jun 1
PMID 16736023
Citations 505
Authors
Affiliations
Soon will be listed here.
Abstract

In recent years, microRNAs (miRNAs) have emerged as a major class of regulatory genes, present in most metazoans and important for a diverse range of biological functions. Because experimental identification of miRNA targets is difficult, there has been an explosion of computational target predictions. Although the initial round of predictions resulted in very diverse results, subsequent computational and experimental analyses suggested that at least a certain class of conserved miRNA targets can be confidently predicted and that this class of targets is large, covering, for example, at least 30% of all human genes when considering about 60 conserved vertebrate miRNA gene families. Most recent approaches have also shown that there are correlations between domains of miRNA expression and mRNA levels of their targets. Our understanding of miRNA function is still extremely limited, but it may be that by integrating mRNA and miRNA sequence and expression data with other comparative genomic data, we will be able to gain global and yet specific insights into the function and evolution of a broad layer of post-transcriptional control.

Citing Articles

HTLV-1 and HTLV-2 infections significantly alter small RNA expression in asymptomatic carriers.

Fernandes L, Folgosi V, Pessoa R, Assone T, Victor J, Casseb J Front Med (Lausanne). 2025; 12:1547712.

PMID: 40034383 PMC: 11872698. DOI: 10.3389/fmed.2025.1547712.


Predicting microRNA target genes using pan-cancer correlation patterns.

Lin S, Qiu P BMC Genomics. 2025; 26(1):77.

PMID: 39871129 PMC: 11773953. DOI: 10.1186/s12864-025-11254-0.


In Silico Prediction of Maize microRNA as a Xanthine Oxidase Inhibitor: A New Approach to Treating Hyperuricemia Patients.

Joshi M, Khan M Noncoding RNA. 2025; 11(1.

PMID: 39846684 PMC: 11755550. DOI: 10.3390/ncrna11010006.


Transcriptome integration analysis revealed that miR-103-3p regulates goat myoblast proliferation by targeting FGF18.

Li K, Song Y, Fan Y, Zhang H, Chu M, Liu Y BMC Genomics. 2025; 26(1):16.

PMID: 39773020 PMC: 11706129. DOI: 10.1186/s12864-024-11183-4.


CircRNAs and miRNAs: Key Player Duo in Breast Cancer Dynamics and Biomarkers for Breast Cancer Early Detection and Prevention.

Maatouk N, Kurdi A, Marei S, Nasr R, Talhouk R Int J Mol Sci. 2024; 25(23).

PMID: 39684767 PMC: 11641287. DOI: 10.3390/ijms252313056.