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Updated: Sep 23, 2025

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

Published on: September 28, 2011

PmiRtarbase: A positive miRNA-target regulations database.

Peng Xu¹, Xianbin Li², Yijun Liang³

¹Institute of Computational Science and Technology, Guangzhou University, Guangzhou, Guangdong 510006, PR China; School of Computer Science of Information Technology, Qiannan Normal University for Nationalities, Duyun, Guizhou 558000, PR China.

Computational Biology and Chemistry

|May 14, 2022

Summary

This summary is machine-generated.

Researchers created PmiRtarbase, a new database of validated positive microRNA (miRNA) target interactions. This resource aids in understanding miRNA positive gene regulation and developing miRNA-based therapeutics.

Keywords:

MiRNA PmiRtarbase Positive miRNA-target interaction

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Last Updated: Sep 23, 2025

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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Published on: September 28, 2011

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Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Area of Science:

Molecular Biology
Genetics
Bioinformatics

Background:

MicroRNAs (miRNAs) are small non-coding RNAs regulating gene expression.
Existing databases lack systematic collection of validated positive miRNA-target associations.
Understanding miRNA positive regulation is crucial for biological and therapeutic applications.

Purpose of the Study:

To develop a comprehensive database of validated positive miRNA-target interactions.
To facilitate research into miRNA positive regulatory mechanisms.
To support the development of miRNA-based therapeutics.

Main Methods:

Systematic literature mining to identify validated positive miRNA-target interactions.
Curation of interaction data, including species, genes, miRNAs, conditions, and descriptions.
Development of a user-friendly database interface (PmiRtarbase) for searching and downloading data.

Main Results:

PmiRtarbase contains 312 curated positive associations between 119 miRNAs and 169 genes across 8 species.
Data was compiled from 130 published studies.
The database provides detailed information on the conditions and context of these interactions.

Conclusions:

PmiRtarbase is a valuable resource for studying miRNA positive gene regulation.
The database can advance research in miRNA mechanisms and therapeutic development.
It offers a centralized, accessible platform for validated positive miRNA-target data.