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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Computational Prediction of Functional MicroRNA-mRNA Interactions
Müşerref Duygu Saçar Demirci1, Malik Yousef2, Jens Allmer3
1Faculty of Life and Natural Sciences, Department of Bioinformatics, Abdullah Gul University, Kayseri, Turkey.
Abstract:
Proteins have a strong influence on the phenotype and their aberrant expression leads to diseases. MicroRNAs (miRNAs) are short RNA sequences which posttranscriptionally regulate protein expression. This regulation is driven by miRNAs acting as recognition sequences for their target mRNAs within a larger regulatory machinery. A miRNA can have many target mRNAs and an mRNA can be targeted by many miRNAs which makes it difficult to experimentally discover all miRNA-mRNA interactions. Therefore, computational methods have been developed for miRNA detection and miRNA target prediction. An abundance of available computational tools makes selection difficult. Additionally, interactions are not currently the focus of investigation although they more accurately define the regulation than pre-miRNA detection or target prediction could perform alone. We define an interaction including the miRNA source and the mRNA target. We present computational methods allowing the investigation of these interactions as well as how they can be used to extend regulatory pathways. Finally, we present a list of points that should be taken into account when investigating miRNA-mRNA interactions. In the future, this may lead to better understanding of functional interactions which may pave the way for disease marker discovery and design of miRNA-based drugs.
Insights
Investigating microRNA-mRNA interactions computationally is crucial for understanding gene regulation and disease. This study presents methods to analyze these interactions, aiding in disease marker discovery and drug development.
Area of Science:
- Molecular Biology
- Bioinformatics
- Genetics
Background:
- Proteins significantly influence phenotype; aberrant expression causes disease.
- MicroRNAs (miRNAs) are short RNA sequences that post-transcriptionally regulate protein expression by targeting messenger RNAs (mRNAs).
- The complex one-to-many and many-to-one relationships between miRNAs and mRNAs complicate experimental discovery of interactions.
Purpose of the Study:
- To address the difficulty in discovering miRNA-mRNA interactions.
- To present computational methods for investigating miRNA-mRNA interactions and extending regulatory pathways.
- To provide guidelines for studying miRNA-mRNA interactions.
Main Methods:
- Development and presentation of computational methods for miRNA-mRNA interaction analysis.
- Focus on interactions rather than just miRNA or target prediction.
- Extension of regulatory pathways using identified interactions.
Main Results:
- Established computational approaches for investigating miRNA-mRNA interactions.
- Demonstrated the utility of these methods for extending regulatory pathways.
- Provided a list of considerations for studying miRNA-mRNA interactions.
Conclusions:
- Computational analysis of miRNA-mRNA interactions offers a more accurate view of gene regulation.
- Understanding these interactions is key to discovering disease markers.
- This research may facilitate the design of novel miRNA-based therapeutics.
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