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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 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...
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...
RNA Interference01:23

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
RNA Interference01:23

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
Riboswitches01:56

Riboswitches

Riboswitches are non-coding mRNA domains that regulate the transcription and translation of downstream genes without the help of proteins. Riboswitches bind directly to a metabolite and can form unique stem-loop or hairpin structures in response to the amount of the metabolite present. They have two distinct regions – a metabolite-binding aptamer and an expression platform.
The aptamer has high specificity for a particular metabolite which allows riboswitches to specifically regulate...

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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

miRecords: an integrated resource for microRNA-target interactions.

Feifei Xiao1, Zhixiang Zuo, Guoshuai Cai

  • 1Department of Neuroscience, University of Minnesota, Minneapolis, MN 55455, USA.

Nucleic Acids Research
|November 11, 2008
PubMed
Summary

Researchers developed miRecords, a comprehensive database for animal microRNA (miRNA) target interactions. This resource includes validated and predicted interactions, aiding miRNA research and computational tool development.

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Last Updated: Jun 28, 2026

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression.
  • Computational prediction of miRNA targets is challenging.
  • Existing resources lack comprehensive, validated animal miRNA-target interaction data.

Purpose of the Study:

  • To develop miRecords, an integrated resource for animal miRNA-target interactions.
  • To provide a manually curated database of experimentally validated miRNA-target interactions.
  • To store predicted miRNA targets from established prediction programs.

Main Methods:

  • Manual curation of experimentally validated miRNA-target interactions.
  • Integration of data from 11 established miRNA target prediction programs.
  • Systematic documentation of experimental support for each interaction.

Main Results:

  • The Validated Targets component contains 1135 records of validated interactions.
  • These interactions involve 301 miRNAs and 902 target genes across seven animal species.
  • The Predicted Targets component aggregates predictions from 11 programs.

Conclusions:

  • miRecords serves as a valuable resource for experimental miRNA researchers.
  • The database supports the development of next-generation miRNA target prediction programs.
  • miRecords enhances the study of animal miRNA function and regulation.