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Related Concept Videos

MicroRNAs01:22

MicroRNAs

23.7K
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...
23.7K
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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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method
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miRWalk database for miRNA-target interactions.

Harsh Dweep1, Norbert Gretz, Carsten Sticht

  • 1Medical Faculty Mannheim, Medical Research Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, D-68167, Mannheim, Germany, harsh.dweep@medma.uni-heidelberg.de.

Methods in Molecular Biology (Clifton, N.J.)
|July 25, 2014
PubMed
Summary
This summary is machine-generated.

miRWalk is a comprehensive database for microRNA (miRNA)-target interactions, offering predicted and validated data across human, mouse, and rat genomes. It provides tools for comparative analysis and exploring genetic networks and disease associations.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression.
  • Understanding miRNA-target interactions is crucial for biological research.
  • Existing resources may lack comprehensive integration of predicted and validated data.

Purpose of the Study:

  • To introduce miRWalk, a comprehensive database for miRNA-target interactions.
  • To detail the features and accessibility of the miRWalk resource.
  • To highlight the utility of miRWalk in exploring genetic networks and disease associations.

Main Methods:

  • Integration of predicted miRNA-binding sites from ten different algorithms.
  • Inclusion of experimentally validated miRNA-target interactions.
  • Development of comparative platforms and network visualization tools.

Main Results:

  • miRWalk provides access to miRNA-binding site predictions for human, mouse, and rat genes.
  • The database integrates comparative analysis of prediction datasets.
  • It offers insights into miRNA-gene pathways and miRNA-disease interactions.

Conclusions:

  • miRWalk serves as a valuable, publicly available resource for researchers studying miRNA functions.
  • The database facilitates the exploration of complex miRNA-gene regulatory networks.
  • It supports the investigation of miRNA roles in various biological processes and diseases.