Identify asthma genes across three phases based on protein-protein interaction network

Area of Science:

• Genomics and Bioinformatics
• Immunology and Respiratory Medicine

Background:

• Asthma is a prevalent inflammatory respiratory disease influenced by genetic and environmental factors.
• Omics data offers novel avenues for understanding complex diseases like asthma.

Purpose of the Study:

• To develop a framework for detecting asthma disease genes using protein-protein interaction networks (PPINs) and gene expression data.
• To identify stage-specific protein interactions relevant to asthma pathogenesis.

Main Methods:

• Construction of asthma-specific protein-protein interaction networks (PPINs) across different disease stages.
• Analysis of stage-specific interactions to identify potential asthma-related proteins.
• Functional enrichment analysis of differential interactions to pinpoint relevant biological pathways.

Main Results:

• Proteins involved in stage-specific interactions are significantly associated with asthma.
• Enriched pathways in differential interactions are linked to asthma progression.
• Identified proteins include some previously reported in asthma literature, validating the approach.

Conclusions:

• The proposed framework effectively identifies asthma-related genes through network analysis.
• Stage-specific PPINs provide insights into the dynamic nature of asthma.
• This approach aids in understanding asthma mechanisms and discovering potential therapeutic targets.