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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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Journal ArticleDOI

MicroRNA Profiling of CSF Reveals Potential Biomarkers to Detect Alzheimer`s Disease.

TL;DR: Initial results point to a possible involvement of miRNA in Alzheimer’s disease (AD), and 6 reliable and 9 informative biomarkers were identified by applying the new explorative “Measure of relevance” method.
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Protein-driven inference of miRNA–disease associations

TL;DR: In this article, the authors present miRPD in which miRNA-Protein-Disease associations are explicitly inferred, and show statistically significant enrichment for proteins involved in pathways related to cancer and type I diabetes mellitus.
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MicroRNA-153 physiologically inhibits expression of amyloid-β precursor protein in cultured human fetal brain cells and is dysregulated in a subset of Alzheimer disease patients

TL;DR: Ex vivo miR-153 physiologically regulates human APP expression and Aβ and may contribute to AD pathoetiology and reveal novel drug targets capable of modulating Aβ production in AD.
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Computational methods for microRNA target prediction.

TL;DR: It is significantly important to predict the targets of miRNAs by computational approaches to understand their effects on the regulation of gene expression to adjust the bioinformatics tools for more accurate predictions.
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.
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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.
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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.
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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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