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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.
Abstract:
MicroRNAs (miRNAs) are key post-transcriptional regulators implicated in multilevel molecular dysregulation in idiopathic pulmonary fibrosis (IPF). However, their function is largely inferred from miRNA-mRNA associations, leaving protein-level consequences poorly defined. We performed an integrated multiomics analysis combining miRNA sequencing, RNA sequencing, and proteomic profiling of primary lung fibroblasts from patients with IPF and controls. Transcriptomic data were obtained from the Gene Expression Omnibus (GSE301181), and donor-matched proteomic data were deposited in Figshare. miRNA-mRNA correlations and miRNA-protein associations were evaluated through integrative correlation and interaction analyses, followed by functional enrichment and network modeling. Thirteen differentially expressed miRNAs were identified and showed widespread negative correlations with 710 differentially expressed genes. In contrast, proteomic integration identified a more restricted subset of 229 miRNA-associated differentially expressed proteins. Functional enrichment revealed broad distribution of miRNA-mRNA associations across extracellular matrix organization, immune signaling, and cell migration pathways, whereas miRNA-protein associations converged on a limited set of biological processes with higher enrichment ratios. Several miRNAs were linked to known fibrosis- and stress-related targets, supporting biological relevance. Together, these findings suggest that integrated protein-level analysis helps refine fibrosis-relevant miRNA regulatory programs in IPF fibroblasts and may improve biological interpretation of disease-associated molecular changes.
Insights
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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