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Dynamic transcriptome analyses reveal m6A regulated immune non-coding RNAs during dengue disease progression
Ya Zhang1, Jing Guo1, Yueying Gao1
1Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou 571199, China.
Heliyon
|January 23, 2023
Summary
This study identifies key genes and long non-coding RNAs (lncRNAs) dysregulated during dengue infection, revealing their roles in disease progression and potential links to other complex diseases.
Area of Science:
- Virology
- Genomics
- Immunology
Background:
- Dengue virus infection is a significant global health concern causing severe complications.
- Understanding the molecular mechanisms, including gene and long non-coding RNA (lncRNA) involvement, is crucial for deciphering dengue pathogenesis.
Purpose of the Study:
- To comprehensively analyze the dynamic transcriptome during dengue disease progression.
- To identify critical genes and lncRNAs involved in dengue infection and their regulatory mechanisms.
- To explore the relationship between dengue infection, host immune responses, and other complex diseases.
Main Methods:
- Dynamic transcriptome analysis during dengue disease progression.
- Identification and characterization of differentially expressed genes and lncRNAs.
- Investigation of m6A RNA methylation regulation on identified genes and lncRNAs.
- Analysis of dengue viral protein interactions with host molecules.
- Protein-protein interaction network analysis.
- Immune microenvironment profiling and correlation analysis with gene/lncRNA expression.
- Network analysis to explore associations with other human diseases.
Main Results:
- Identified specific genes (e.g., CCR10, GNG7) and lncRNAs (e.g., CTBP1-AS, MAFG-AS1) with expression perturbations during dengue infection.
- Found that m6A RNA methylation potentially regulates these genes and lncRNAs.
- Dengue viral proteins interact with perturbed genes/lncRNAs involved in cell cycle, inflammation, and immune response.
- Dynamically expressed genes and lncRNAs are central in protein-protein networks, potentially aiding viral replication.
- Observed increased plasma cells and decreased T cell infiltrations during dengue progression, with correlations to gene/lncRNA expression.
- Network analysis suggested links between dengue infection and digestive diseases/neoplasms.
Conclusions:
- Comprehensive transcriptome analysis provides novel insights into dengue pathogenesis.
- Identified potential gene and lncRNA biomarkers for dengue infection.
- Findings offer a basis for developing effective therapeutic strategies against dengue virus.
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