Related Experiment Video
Updated: Mar 31, 2026
07:42
Author Spotlight: Enhanced Murine AAA Model Using Elastase to Mimic Human Aneurysms
Published on: July 26, 2024
3.0K
Predicting Abdominal Aortic Aneurysm Target Genes by Level-2 Protein-Protein Interaction
Kexin Zhang1, Tuoyi Li1, Yi Fu1
1Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University, Beijing, P. R. China; Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing, P. R. China.
Plos One
|October 27, 2015
Summary
This study introduces a novel indirect protein-protein interaction (level-2 PPI) network to identify new genes linked to abdominal aortic aneurysm (AAA). This approach enhances AAA gene discovery beyond direct interactions, offering new therapeutic targets.
Area of Science:
- Bioinformatics
- Genomics
- Vascular Biology
Background:
- Abdominal aortic aneurysm (AAA) is a life-threatening condition lacking effective pharmaceutical treatments.
- Previous bioinformatics studies on AAA primarily focused on direct protein-protein interactions (level-1 PPI), potentially missing crucial AAA-related genes.
- Identifying novel AAA-related genes is critical for understanding disease mechanisms and developing new therapies.
Purpose of the Study:
- To construct an indirect protein-protein interaction (level-2 PPI) network to uncover previously unreported AAA-related genes.
- To evaluate the efficacy of the level-2 PPI network in predicting novel AAA-associated genes compared to traditional level-1 PPI methods.
- To validate the functional relevance of predicted genes through GO function and KEGG pathway analysis.
Main Methods:
- Construction of a level-2 PPI network using common interacting proteins encoded by known AAA-related genes.
- Prediction of novel AAA-related genes utilizing the developed level-2 PPI network.
- Validation of the network's performance through cross-validation, human AAA mRNA chip array comparison, literature mining, and a mouse CaPO4 AAA model.
Main Results:
- The level-2 PPI network successfully predicted previously unreported AAA-related genes.
- The level-2 PPI network demonstrated superior performance compared to the traditional level-1 PPI network.
- The top 100 candidate genes identified by the level-2 PPI network exhibited similar Gene Ontology (GO) functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways as established AAA genes.
Conclusions:
- The indirect protein-protein interaction (level-2 PPI) network is a powerful tool for identifying novel genes associated with abdominal aortic aneurysm (AAA).
- This approach expands the scope of gene discovery in AAA beyond direct interactions, offering a more comprehensive understanding of the disease.
- The validated candidate genes provide new avenues for research into AAA pathogenesis and potential therapeutic strategies.
Related Concept Videos
02:26Protein Networks
4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K
02:04Protein-protein Interfaces
15.0K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
15.0K
01:29Pharmacogenomics: Identification of New Drug Targets
84
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
84
01:11Genome-wide Association Studies-GWAS
16.7K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
16.7K