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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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MicroRNAs01:22

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
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Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

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microRNA Target Prediction.

William Ritchie1

  • 1CNRS, UMR 5203, Montpellier, 34094, France. W.Ritchie@centenary.org.au.

Methods in Molecular Biology (Clifton, N.J.)
|November 4, 2016
PubMed
Summary
This summary is machine-generated.

MicroRNAs regulate gene expression by targeting genes. New methods refine computational predictions of microRNA targets by integrating expression data, improving accuracy for identifying true targets.

Keywords:
Target genesmicroRNAmicroRNA expression

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Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • microRNAs (miRNAs) are key regulators of gene expression.
  • Computational tools predict miRNA targets but often yield excessive results.
  • Accurate identification of functional miRNA targets is crucial for understanding gene regulation.

Purpose of the Study:

  • To develop and describe procedures for refining miRNA target predictions.
  • To enhance the accuracy of identifying true miRNA targets over putative ones.
  • To integrate computational predictions with experimental expression data.

Main Methods:

  • Utilizing commonly used miRNA prediction software.
  • Integrating miRNA prediction results with publicly available gene expression data.
  • Developing refined procedures for target identification.

Main Results:

  • The described procedures effectively refine large sets of predicted miRNA targets.
  • Integration of expression data significantly improves the specificity of target prediction.
  • The refined methods prioritize the identification of genuine miRNA-gene interactions.

Conclusions:

  • The developed procedures offer a more accurate approach to identifying functional miRNA targets.
  • These methods are particularly valuable for research prioritizing true target identification.
  • This work advances the understanding of miRNA-mediated gene regulation.