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Related Concept Videos

MicroRNAs01:22

MicroRNAs

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...
MicroRNAs01:22

MicroRNAs

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 ends...
MicroRNAs01:22

MicroRNAs

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 ends...

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mirMachine: A One-Stop Shop for Plant miRNA Annotation
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Transcriptome-wide prediction of miRNA targets in human and mouse using FASTH.

Chikako Ragan1, Nicole Cloonan, Sean M Grimmond

  • 1The University of Queensland, Institute for Molecular Bioscience, and ARC Centre of Excellence in Bioinformatics, Brisbane, Australia.

Plos One
|May 30, 2009
PubMed
Summary

We developed FASTH, a computational tool to predict microRNA (miRNA) target sites by analyzing RNA structure. This method reveals numerous favorable binding sites across the transcriptome, impacting gene regulation across species and transcript variants.

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Last Updated: Jun 22, 2026

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) regulate gene expression through base-pairing with messenger RNAs (mRNAs).
  • Predicting miRNA target sites is complex due to secondary structures and varying binding affinities.

Purpose of the Study:

  • To develop an efficient computational method for genome-scale prediction of miRNA target sites.
  • To analyze miRNA-mRNA interactions across human and mouse transcriptomes using a thermodynamic approach.

Main Methods:

  • Introduction of FASTH software for predicting miRNA target sites based on minimizing free energy of duplex structure.
  • Application of the approach to human and mouse transcriptomes.
  • Validation of predicted miRNA-mRNA interactions using luciferase assays.

Main Results:

  • Identification of abundant, energetically favorable miRNA binding sites beyond validated targets, occurring across all mRNA regions.
  • Prediction of significant differences in target sites among transcript isoforms and between human and mouse orthologs.
  • Experimental validation of four out of six predicted miRNA-mRNA interactions, showing an average 73% reduction in mRNA levels.

Conclusions:

  • A thermodynamically based computational approach can be scaled for transcriptome-wide miRNA target site prediction.
  • miRNA regulation is species- and transcript-specific, with implications for diverse biological contexts.
  • FASTH provides a robust tool for understanding miRNA-mediated gene regulation.