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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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Related Experiment Video

Updated: Mar 12, 2026

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
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Practical Bioinformatics Analysis of MiRNA Data Using Online Tools.

James A L Brown1, Emer Bourke2

  • 1Discipline of Surgery, College of Medicine, Lambe Institute for Translational Research, National University of Ireland, University Road, Galway, Ireland. james.brown@nuigalway.ie.

Methods in Molecular Biology (Clifton, N.J.)
|November 10, 2016
PubMed
Summary

This guide explains how to analyze miRNA array data using free online tools. It focuses on using top differentially expressed microRNAs (miRNAs) to identify potential gene targets for further research.

Keywords:
BioinformaticsDAVIDDIANAPicTarmiRBasemiRNAmiRandolamicroRNAmicroT-CDS

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • MicroRNA (miRNA) array data analysis is crucial for understanding gene regulation.
  • Identifying differentially expressed miRNAs is a key step in many biological studies.
  • Existing methods may require specialized software or extensive bioinformatics expertise.

Purpose of the Study:

  • To provide a starting point for analyzing miRNA array data.
  • To demonstrate the use of freely available online tools for miRNA data analysis.
  • To guide researchers in identifying top differentially regulated miRNAs for further investigation.

Main Methods:

  • Utilizing freely available online bioinformatics suites.
  • Focusing on the analysis of top differentially regulated miRNAs.
  • Employing identified miRNAs to find potential mRNA targets and associated pathways.

Main Results:

  • A practical workflow for analyzing miRNA array data is presented.
  • Methods for identifying gene targets and pathways influenced by specific miRNAs are described.
  • The approach facilitates the discovery of biologically relevant information from miRNA array experiments.

Conclusions:

  • Freely available online tools can effectively support miRNA array data analysis.
  • Starting with top differentially expressed miRNAs enables focused downstream investigations.
  • The integrated approach aids in understanding miRNA functions and their impact on gene expression and pathways.