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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...
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Correction: Marchetti et al. MicroRNA-24-3p Targets Notch and Other Vascular Morphogens to Regulate Post-ischemic Microvascular Responses in Limb Muscles. <i>Int. J. Mol. Sci</i>. 2020, <i>21</i>, 1733.

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Updated: Aug 5, 2025

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
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A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

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Insights into Online microRNA Bioinformatics Tools.

Diana Luna Buitrago1, Ruth C Lovering2, Andrea Caporali1

  • 1BHF Centre for Cardiovascular Science, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH164TJ, UK.

Non-Coding RNA
|March 24, 2023
PubMed
Summary
This summary is machine-generated.

MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression. This review highlights online tools for exploring miRNA sequences, targets, disease associations, pathways, and genetic variants.

Keywords:
bioinformaticsdatabasemiRNAsweb-based tools

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Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are crucial non-coding RNA molecules that regulate gene expression post-transcriptionally.
  • MiRNAs play significant roles in diverse biological functions and disease development.
  • The field of miRNA research has expanded, emphasizing the need for accessible data and analytical tools.

Purpose of the Study:

  • To provide an overview of available online resources for miRNA research.
  • To guide researchers in investigating miRNA sequences, target prediction, and validation.
  • To cover tools for analyzing disease-associated miRNAs, pathway involvement, and miRNA genetic variations.

Main Methods:

  • Literature review of existing online bioinformatics tools.
  • Categorization of resources based on research aspects (sequences, targets, disease, pathways, variants).
  • Synthesis of information on the utility and scope of each resource.

Main Results:

  • Identification of numerous online tools facilitating miRNA research.
  • Detailed description of resources for sequence analysis and target prediction/validation.
  • Summary of tools for exploring miRNA-disease associations, pathway analysis, and genetic variants.

Conclusions:

  • A wide array of bioinformatics tools are available to support comprehensive miRNA research.
  • These resources aid in understanding miRNA functions, regulatory mechanisms, and clinical relevance.
  • Effective utilization of these tools can accelerate discoveries in molecular biology and disease research.