IRNdb

IRNdb catalogs immunologically relevant non-coding RNA interactions, annotations, and pathway information to support study of ncRNA regulation in the mouse immune system.


Key Features:

  • Comprehensive integration: IRNdb consolidates predicted and experimentally supported ncRNA-target interactions for microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and PIWI-interacting RNAs (piRNAs) linked to immune-related targets.
  • Interaction counts: The database documents 12,930 miRNA–target interactions involving 724 distinct miRNAs and 2,427 mouse immune-related targets, 22,453 lncRNA–immune target interactions, and 377 piRNA–immune target interactions.
  • Functional annotations and pathways: IRNdb provides annotations for ncRNAs and their gene targets together with associated biological pathways and processes.
  • Mouse-specific dataset: The resource focuses on mouse-specific ncRNA–target interaction data and immune-related targets.
  • Standardized formatting: Data are provided with uniform formatting to ensure consistency and reliability across datasets.

Scientific Applications:

  • Hypothesis generation: Supports identification of candidate ncRNA–target interactions for downstream experimental validation.
  • Experimental planning: Provides interaction and annotation data to inform design of experiments investigating ncRNA roles in immune processes.
  • Regulatory network analysis: Facilitates exploration of novel regulatory mechanisms and pathway-level impacts of ncRNAs in immunology.

Methodology:

IRNdb integrates mouse-specific ncRNA–target interaction data by combining computational predictions and empirical evidence and applies uniform formatting across datasets.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Python
Added:
11/14/2019
Last Updated:
12/14/2020

Operations

Publications

Denisenko E, Ho D, Tamgue O, Ozturk M, Suzuki H, Brombacher F, Guler R, Schmeier S. IRNdb: the database of immunologically relevant non-coding RNAs. Database. 2016;2016:baw138. doi:10.1093/database/baw138. PMID:31414702. PMCID:PMC5091335.

Links