miRNA-miRNA crosstalk: from genomics to phenomics

Area of Science:

• Genomics and Molecular Biology
• Bioinformatics and Computational Biology

Background:

• MicroRNA (miRNA)-miRNA crosstalk significantly advances understanding of gene regulatory networks in health and disease.
• Existing network modeling approaches utilize genomic sequences, miRNA-mRNA interactions, functional data, or phenomics, often integrating heterogeneous data types.

Purpose of the Study:

• To review and summarize state-of-the-art methods for modeling miRNA-miRNA networks.
• To highlight the importance of integrating heterogeneous omics data for accurate network construction.
• To discuss context-specific network modeling, considering tissue and disease variations.

Main Methods:

• Review of existing literature on miRNA-miRNA network modeling.
• Analysis of approaches integrating genomic, transcriptomic, functional, and phenomic data.
• Focus on methods for constructing context-specific networks.

Main Results:

• A comprehensive overview of diverse miRNA-miRNA network modeling strategies is presented.
• The necessity of integrating multiple omics data types for robust network inference is emphasized.
• The review covers methods ranging from genomics to phenomics.

Conclusions:

• Integrating heterogeneous omics data is crucial for accurate miRNA-miRNA network modeling.
• Context-specific network construction is essential for understanding disease mechanisms and tissue-specific regulation.
• Future research should explore advanced integration strategies and noncoding RNA crosstalk.