Identification of modules related to programmed cell death in CHD based on EHEN
Xu Jia1, Wan Li1, Zhengqiang Miao1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150000, China.
Biomed Research International
|August 19, 2014
Summary
This study introduces a computational method to identify programmed cell death modules in coronary heart disease (CHD) pathogenesis. The approach utilizes the Edinburgh Human Enzyme Network (EHEN) to analyze lipid metabolism and cell death pathways.
Area of Science:
- Systems Biology
- Computational Biology
- Metabolic Network Analysis
Background:
- Coronary heart disease (CHD) is significantly influenced by macrophage and foam cell formation and death.
- Understanding the molecular mechanisms underlying programmed cell death is crucial for CHD research.
Purpose of the Study:
- To develop a computational approach for identifying programmed cell death-related modules within metabolic networks.
- To analyze CHD pathogenesis by focusing on programmed cell death pathways.
Main Methods:
- Construction of the Edinburgh Human Enzyme Network (EHEN) from the Edinburgh Human Metabolic Network (EHMN).
- Integration of subcellular location information to refine protein-reaction relationships.
- Development of a computational strategy to select modules associated with programmed cell death.
Main Results:
- Identification of a key module within the EHEN-mitochondria (EHEN-M).
- Literature validation confirmed the module's association with programmed cell death, CHD pathogenesis, and lipid metabolism.
Conclusions:
- The proposed computational method offers a novel way to study CHD from the perspective of programmed cell death.
- Analysis of subnetworks provides a more comprehensive understanding of CHD mechanisms.
