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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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Citations
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Journal ArticleDOI

The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins.

TL;DR: The Harmonizome is a comprehensive resource of knowledge about genes and proteins that enables researchers to discover novel relationships between biological entities, as well as form novel data-driven hypotheses for experimental validation.
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Assessing the ceRNA Hypothesis with Quantitative Measurements of miRNA and Target Abundance

TL;DR: Modulation of miRNA target abundance is unlikely to cause significant effects on gene expression and metabolism through a ceRNA effect.
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A network-biology perspective of microRNA function and dysfunction in cancer

TL;DR: Advances in experimental and computational approaches are revealing not just cancer pathways controlled by single miRNAAs but also intermeshed regulatory networks controlled by multiple miRNAs, which often engage in reciprocal feedback interactions with the targets that they regulate.
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The biochemical basis of microRNA targeting efficacy

TL;DR: This approach offers insights into miRNA targeting and enables more accurate prediction of intracellular miRNA repression efficacy than previous algorithms, and adapted RNA bind-n-seq and convolutional neural network to study miRNA-target interactions, thereby obtaining the quantity and diversity of affinity values needed to better understand and predict mi RNA targeting efficacy.
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mRNA destabilization is the dominant effect of mammalian microRNAs by the time substantial repression ensues.

TL;DR: The global steady-state measurements are extended to additional mammalian contexts and find that regardless of the miRNA, cell type, growth condition, or translational state, mRNA destabilization explains most (66%->90%) miRNA-mediated repression.
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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