Related Experiment Video
Updated: Oct 2, 2025
Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs
Published on: June 12, 2018
New Tricks with Old Dogs: Computational Identification and Experimental Validation of New miRNA-mRNA Regulation in
Maja Bencun1,2,3, Thiago Britto-Borges1,2,3, Jessica Eschenbach1,2,3
1Section of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Insights
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) model cardiac disease, identifying novel microRNA-messenger RNA interactions for differentiation and stress. This approach uncovers new valid interactions beyond current knowledge.
Area of Science:
- Cardiovascular Research
- Stem Cell Biology
- Molecular Biology
Background:
- Cardiovascular disease remains a leading global cause of death.
- Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) offer a vital in vitro model for studying cardiac conditions.
- Understanding microRNA-messenger RNA (miRNA-mRNA) interactions is crucial for cardiac health.
Purpose of the Study:
- To identify novel miRNA-mRNA interaction partners during cardiac differentiation and beta-adrenergic stress using hiPSC-CMs.
- To develop and validate a computational approach for predicting miRNA-mRNA interactions.
- To uncover new regulatory mechanisms in cardiac biology.
Main Methods:
- Combined whole transcriptome and small RNA sequencing data from hiPSC-CMs.
- Integrated mRNA and miRNA expression profiles with miRNA target predictions.
- Performed experimental validation, including 3'UTR luciferase assays and transfection experiments in hiPSC-CMs.
Main Results:
- Identified several differentially expressed miRNAs during cardiac differentiation and beta-adrenergic stress.
- Focused on miR-99a-5p (differentiation) and miR-212-3p (beta-adrenergic stress) as top candidates.
- Validated specific miRNA-mRNA target interactions using experimental methods, confirming the computational approach's accuracy.
Conclusions:
- The hiPSC-CM model, combined with computational analysis, effectively identifies novel and valid miRNA-mRNA interactions.
- This study provides new insights into miRNA-mediated regulation during cardiac differentiation and stress responses.
- The findings contribute to a deeper understanding of cardiovascular disease mechanisms and potential therapeutic targets.
Abstract:
Cardiovascular disease is still the leading cause of morbidity and mortality worldwide. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have become a valuable widespread in vitro model to study cardiac disease. Herein, we employ the hiPSC-CM model to identify novel miRNA-mRNA interaction partners during cardiac differentiation and β-adrenergic stress. Whole transcriptome and small RNA sequencing data were combined to identify novel miRNA-mRNA interactions. Briefly, mRNA and miRNA expression profiles were integrated with miRNA target predictions to identify significant statistical dependencies between a miRNA and its candidate target set. We show by experimental validation that our approach discriminates true from false miRNA target predictions. Thereby, we identified several differentially expressed miRNAs and focused on the two top candidates: miR-99a-5p in the context of cardiac differentiation and miR-212-3p in the context of β-adrenergic stress. We validated some target mRNA candidates by 3'UTR luciferase assays as well as in transfection experiments in the hiPSC-CM model system. Our data show that iPSC-derived cardiomyocytes and computational modeling can be used to uncover new valid miRNA-mRNA interactions beyond current knowledge.
