Click here to close Hello! We notice that you are using Internet Explorer, which is not supported by Xenbase and may cause the site to display incorrectly. We suggest using a current version of Chrome, FireFox, or Safari.
XB-ART-51608
PLoS One. January 1, 2014; 9 (7): e103142.

A tri-component conservation strategy reveals highly confident microRNA-mRNA interactions and evolution of microRNA regulatory networks.

Lin CC , Mitra R , Zhao Z .


Abstract
MicroRNAs are small non-coding RNAs that can regulate expressions of their target genes at the post-transcriptional level. In this study, we propose a tri-component strategy that combines the conservation of microRNAs, homology of mRNA coding regions, and conserved microRNA binding sites in the 3'' untranslated regions to discover conserved microRNA-mRNA interactions. To validate the performance of our conservation strategy, we collected the experimentally validated microRNA-mRNA interactions from three databases as the golden standard. We found that the proposed strategy can improve the performance of existing target prediction algorithms by approximately 2-4 fold. In addition, we demonstrated that the proposed strategy could efficiently retain highly confident interactions from the intersection results of the existing algorithms and filter out the possible false positive predictions in the union one. Furthermore, this strategy can facilitate our ability to trace the homologues in different species that are targeted by the same miRNA family because it combines these three features to identify the conserved miRNA-mRNA interactions during evolution. Through an extensive application of the proposed conservation strategy to a study of the miR-1/206 regulatory network, we demonstrate that the target mRNA recruiting process could be associated with expansion of miRNA family during its evolution. We also uncovered the functional evolution of the miR-1/206 regulatory network. In this network, the early targeted genes tend to participate in more general and development-related functions. In summary, the conservation strategy is capable of helping to highlight the highly confident miRNA-mRNA interactions and can be further applied to reveal the evolutionary features of miRNA regulatory network and functions.

PubMed ID: 25054916
PMC ID: PMC4108425
Article link: PLoS One.
Grant support: P50CA095103 NCI NIH HHS , P30CA68485 NCI NIH HHS , R03CA167695 NCI NIH HHS , P50CA090949 NCI NIH HHS , R01LM011177 NLM NIH HHS

Genes referenced: gnao1


References:
Ashburner, 2000, Pubmed[+]


Article Images: [+] show captions

My Xenbase: [ Log-in / Register ]
version: [4.5.0]

Major funding for Xenbase is provided by the National Institute of Child Health and Human Development, grant P41 HD064556