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MicroRNAs Form Triplexes with Double Stranded DNA at Sequence-Specific Binding Sites; a Eukaryotic Mechanism via which microRNAs Could Directly Alter Gene Expression.

Authors :
Paugh SW
Coss DR
Bao J
Laudermilk LT
Grace CR
Ferreira AM
Waddell MB
Ridout G
Naeve D
Leuze M
LoCascio PF
Panetta JC
Wilkinson MR
Pui CH
Naeve CW
Uberbacher EC
Bonten EJ
Evans WE
Source :
PLoS computational biology [PLoS Comput Biol] 2016 Feb 04; Vol. 12 (2), pp. e1004744. Date of Electronic Publication: 2016 Feb 04 (Print Publication: 2016).
Publication Year :
2016

Abstract

MicroRNAs are important regulators of gene expression, acting primarily by binding to sequence-specific locations on already transcribed messenger RNAs (mRNA) and typically down-regulating their stability or translation. Recent studies indicate that microRNAs may also play a role in up-regulating mRNA transcription levels, although a definitive mechanism has not been established. Double-helical DNA is capable of forming triple-helical structures through Hoogsteen and reverse Hoogsteen interactions in the major groove of the duplex, and we show physical evidence (i.e., NMR, FRET, SPR) that purine or pyrimidine-rich microRNAs of appropriate length and sequence form triple-helical structures with purine-rich sequences of duplex DNA, and identify microRNA sequences that favor triplex formation. We developed an algorithm (Trident) to search genome-wide for potential triplex-forming sites and show that several mammalian and non-mammalian genomes are enriched for strong microRNA triplex binding sites. We show that those genes containing sequences favoring microRNA triplex formation are markedly enriched (3.3 fold, p<2.2 × 10(-16)) for genes whose expression is positively correlated with expression of microRNAs targeting triplex binding sequences. This work has thus revealed a new mechanism by which microRNAs could interact with gene promoter regions to modify gene transcription.

Details

Language :
English
ISSN :
1553-7358
Volume :
12
Issue :
2
Database :
MEDLINE
Journal :
PLoS computational biology
Publication Type :
Academic Journal
Accession number :
26844769
Full Text :
https://doi.org/10.1371/journal.pcbi.1004744