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Open AccessJournal ArticleDOI

Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAs

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TLDR
In this article, the authors used the TargetScan tool for quantitatively predicting miRNA regulation (and siRNA off-targeting) to model differential miRNA proficiencies, thereby improving prediction performance.
Abstract
Most metazoan microRNAs (miRNAs) target many genes for repression, but the nematode lsy-6 miRNA is much less proficient. Here we show that the low proficiency of lsy-6 can be recapitulated in HeLa cells and that miR-23, a mammalian miRNA, also has low proficiency in these cells. Reporter results and array data indicate two properties of these miRNAs that impart low proficiency: their weak predicted seed-pairing stability (SPS) and their high target-site abundance (TA). These two properties also explain differential propensities of small interfering RNAs (siRNAs) to repress unintended targets. Using these insights, we expand the TargetScan tool for quantitatively predicting miRNA regulation (and siRNA off-targeting) to model differential miRNA (and siRNA) proficiencies, thereby improving prediction performance. We propose that siRNAs designed to have both weaker SPS and higher TA will have fewer off-targets without compromised on-target activity.

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Citations
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Journal ArticleDOI

Identification and validation of mRNA 3'untranslated regions of DNMT3B and TET3 as novel competing endogenous RNAs of the tumor suppressor PTEN.

TL;DR: DNMT3B and TET3 are identified and validated as novel ceRNAs of PTEN that may impact its dose-sensitive tumor suppressive function and suggested that the phenotypic outcome of ce RNAs is dictated largely by the number of shared miRNAs, and predictably, by the existence of other ceRNA networks in which they participate.
Proceedings ArticleDOI

Statistical Principle-Based Approach for Detecting miRNA-Target Gene Interaction Articles

TL;DR: A text mining pipeline based on the statistical principle-based approach (SPBA) to detect MiRNA-Target Interactions (MTIs) mentioned in literatures and can successfully recognize miRNA mentions and extract their MTIs in articles with a promising F-score of 98.8% and an accuracy of 71.43%.
Book ChapterDOI

Genome-Wide Analysis of MicroRNA-Regulated Transcripts.

TL;DR: This chapter discusses the advantages and limitations of both classic and comprehensive strategies for miRNA target prediction, as well as their potential uses as therapeutic tools, from several laboratory-based, comprehensive strategies developed recently.
Journal ArticleDOI

Principles and pitfalls of high-throughput analysis of microRNA-binding thermodynamics and kinetics by RNA Bind-n-Seq

TL;DR: In this article , an analytical strategy is presented to estimate absolute binding affinities from RNA Bind-n-Seq data, and a framework is developed to compute relative association and dissociation rate constants.
Journal ArticleDOI

miRTil: An Extensive Repository for Nile Tilapia microRNA Next Generation Sequencing Data.

TL;DR: An open repository dedicated to Nile Tilapia miRNAs, the “miRTil database” is presented, which stores data on 734 mature mi RNAs identified in 11 distinct tissues and five key developmental stages and includes a comprehensive pre-computed miRNA-target interaction network containing 4936 targets and 19,580 interactions.
References
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Journal ArticleDOI

MicroRNAs: Genomics, Biogenesis, Mechanism, and Function

TL;DR: Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
Journal ArticleDOI

Initial sequencing and analysis of the human genome.

Eric S. Lander, +248 more
- 15 Feb 2001 - 
TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Journal ArticleDOI

MicroRNAs: Target Recognition and Regulatory Functions

TL;DR: The current understanding of miRNA target recognition in animals is outlined and the widespread impact of miRNAs on both the expression and evolution of protein-coding genes is discussed.
Journal ArticleDOI

Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets

TL;DR: In a four-genome analysis of 3' UTRs, approximately 13,000 regulatory relationships were detected above the estimate of false-positive predictions, thereby implicating as miRNA targets more than 5300 human genes, which represented 30% of the gene set.
Journal ArticleDOI

The functions of animal microRNAs

TL;DR: Evidence is mounting that animal miRNAs are more numerous, and their regulatory impact more pervasive, than was previously suspected.
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