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Published on: April 25, 2022
Multiomics Integration Reveals Distinct miRNA-Mediated Regulatory Networks at the Transcript and Protein Levels in
Min Kyung Kim1, Seung Hyun Kim1, Sung Woo Park2
1Department of Interdisciplinary Program in Biomedical Science Major, Soonchunhyang University, Bucheon-si, Republic of Korea.
Omics : a Journal of Integrative Biology
|July 10, 2026
Summary
Idiopathic pulmonary fibrosis (IPF) involves microRNAs (miRNAs), but protein effects are unclear. This study integrates multiomics data, revealing protein-level impacts of miRNAs in IPF fibroblasts, refining understanding of fibrosis regulation.
Area of Science:
- Molecular Biology
- Genomics
- Proteomics
Background:
- MicroRNAs (miRNAs) are crucial regulators of gene expression.
- Their role in idiopathic pulmonary fibrosis (IPF) is known, but protein-level consequences remain poorly understood.
- Current understanding relies heavily on miRNA-mRNA associations.
Purpose of the Study:
- To investigate the protein-level consequences of miRNA dysregulation in IPF.
- To integrate multiomics data (miRNA, RNA, proteomics) for a comprehensive analysis.
- To refine the understanding of miRNA regulatory networks in IPF fibroblasts.
Main Methods:
- Integrated multiomics analysis of primary lung fibroblasts from IPF patients and controls.
- Utilized miRNA sequencing, RNA sequencing, and proteomic profiling.
- Employed integrative correlation, interaction analyses, functional enrichment, and network modeling.
Main Results:
- Identified 13 differentially expressed miRNAs.
- Found widespread negative correlations between miRNAs and 710 differentially expressed genes.
- Protein integration revealed 229 miRNA-associated differentially expressed proteins, converging on specific biological processes.
Conclusions:
- Integrated protein-level analysis provides a refined view of miRNA regulatory programs in IPF.
- This approach enhances the biological interpretation of molecular changes in IPF.
- Findings highlight the importance of considering protein-level effects for understanding fibrosis.
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