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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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Related Experiment Video

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Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay
12:49

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Practical Aspects of microRNA Target Prediction.

T M Witkos1, E Koscianska, W J Krzyzosiak

  • 1Laboratory of Cancer Genetics, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14 Str. 61-704 Poznan, Poland.

Current Molecular Medicine
|February 24, 2011
PubMed
Summary

Predicting microRNA (miRNA) targets is crucial for understanding diseases. This review evaluates computational tools for miRNA target prediction, focusing on their application in trinucleotide repeat expansion diseases.

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Related Experiment Videos

Last Updated: Jun 4, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay
12:49

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs
11:00

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Published on: June 12, 2018

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
08:40

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genetics

Background:

  • MicroRNAs (miRNAs) are key posttranscriptional regulators of gene expression.
  • Dysregulated miRNA expression and target genes are implicated in various diseases, including cancer and neurodegenerative disorders.
  • Accurate prediction of miRNA targets is essential for disease research.

Purpose of the Study:

  • To review and discuss computational tools for miRNA target prediction.
  • To evaluate the performance of selected miRNA target prediction algorithms.
  • To analyze miRNA interactions in trinucleotide repeat expansion diseases (TREDs).

Main Methods:

  • Overview of popular miRNA target prediction tools: PicTar, TargetScan, DIANA-microT, miRanda, rna22, and PITA.
  • In-depth analysis and performance evaluation of PicTar, TargetScan, and DIANA-microT.
  • Application of algorithms to predict miRNA targets in genes associated with TREDs like Huntington's disease.

Main Results:

  • Current miRNA target prediction algorithms yield inconsistent results.
  • The study demonstrates and evaluates the performance of three specific algorithms.
  • Analysis reveals miRNA interactions within genes linked to TREDs.

Conclusions:

  • Identifying functional miRNA targets remains challenging despite available computational tools.
  • The review provides insights into the practical aspects and performance of miRNA target analysis.
  • Understanding miRNA-mRNA interactions is critical for unraveling disease mechanisms in TREDs.