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Related Concept Videos

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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 (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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Updated: Feb 26, 2026

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells
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CSmiRTar: Condition-Specific microRNA targets database.

Wei-Sheng Wu1, Bor-Wen Tu1, Tsung-Te Chen1

  • 1Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan.

Plos One
|July 14, 2017
PubMed
Summary

CSmiRTar is a new database that identifies condition-specific microRNA (miRNA) targets. This resource helps researchers find tissue-specific and disease-related miRNA targets, improving post-transcriptional regulation studies.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression at the post-transcriptional level.
  • Existing miRNA target databases lack specificity for tissue expression and disease association.
  • Current tools cannot identify common targets for multiple miRNAs or common miRNAs for multiple genes simultaneously.

Purpose of the Study:

  • To develop a novel database, CSmiRTar, for condition-specific miRNA target identification.
  • To overcome the limitations of existing databases in providing tissue-specific and disease-related miRNA target information.
  • To enable the simultaneous search for common targets of multiple miRNAs and common miRNAs for multiple genes.

Main Methods:

  • CSmiRTar integrates computationally predicted miRNA targets from four major databases: miRDB, TargetScan, microRNA.org, and DIANA-microT.
  • The database includes targets for 2588 human and 1945 mouse miRNAs.
  • Functional filters are implemented to allow condition-specific searches.

Main Results:

  • CSmiRTar provides a powerful tool for searching miRNA targets based on specific tissues and diseases.
  • Users can identify common targets shared by multiple miRNAs within specific conditions.
  • The database facilitates the discovery of common miRNAs associated with multiple genes in disease contexts.

Conclusions:

  • CSmiRTar addresses critical needs in miRNA research by offering condition-specific target identification.
  • This database is a valuable resource for biologists investigating post-transcriptional regulation mechanisms in humans and mice.
  • CSmiRTar enhances the study of molecular mechanisms underlying various biological processes and diseases.