MIREyA

MIREyA predicts miRNA–enhancer–gene regulatory trios from expression datasets to identify miRNAs that activate gene expression through enhancer interactions.


Key Features:

  • miRNA-Enhancer-Gene Trios Prediction: Predicts triads consisting of miRNAs, target genes, and enhancers by analyzing expression datasets.
  • Pipeline Design: Implements a structured pipeline for standardized analysis of expression datasets to identify regulatory relationships among miRNAs, enhancers, and genes.
  • Application in Disease Contexts: Applied to primary murine macrophages infected with Mycobacterium tuberculosis (HN878) to identify miRNAs involved in immune response regulation.
  • Specific miRNA Identification: Identifies specific miRNAs such as Mir22, Mir221, Mir222, Mir155, and Mir1956 that up-regulate genes associated with immune responses.

Scientific Applications:

  • miRNA-mediated gene activation studies: Enables investigation of miRNA roles in activating gene expression via enhancers rather than canonical repression.
  • Immune response and host–pathogen interaction analysis: Supports analysis of miRNAs regulating immune responses in contexts such as Mycobacterium tuberculosis infection.
  • Genomics, molecular biology, and systems biology: Facilitates identification of regulatory networks involving miRNAs, enhancers, and genes in genomic and systems-level studies.

Methodology:

Integrates expression data and applies computational algorithms to systematically predict miRNA–enhancer–gene trios.

Topics

Details

Tool Type:
workflow
Programming Languages:
Python, R, Shell
Added:
10/10/2021
Last Updated:
10/10/2021

Operations

Publications

Elizarova A, Ozturk M, Guler R, Medvedeva YA. MIREyA: a computational approach to detect miRNA-directed gene activation. F1000Research. 2021;10:249. doi:10.12688/f1000research.28142.2.

Funding: - European and Developing Countries Clinical Trials Partnership: RIA2017T-2004 - Russian Foundation for Basic Research: 17-54-80033 - South Africa National Research Foundation: 110482, 64761

Links