Integrating Literature-Based Knowledge Database and Expression Data to Explore Molecular Pathways Connecting PPARG and Myocardial Infarction

Peroxisome proliferator-activated receptor γ (PPARG) might play a protective role in the development of myocardial infarction (MI) with limited mechanisms identified. Genes associated with both PPARG and MI were extracted from Elsevier Pathway Studio to construct the initial network. The gene expres...

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Bibliographic Details
Published in:PPAR research 2020, Vol.2020 (2020), p.1-6
Main Authors: Cao, Rongyuan, Kural, Kamil Can, Dong, Yan
Format: Article
Language:English
Subjects:
Age
Calcium channels (voltage-gated)
Computational linguistics
Datasets
Expected values
Gene expression
Gene set enrichment analysis
Genes
Heart attack
Heart attacks
Heart failure
Ischemia
Language processing
MyD88 protein
Myocardial infarction
Natural language interfaces
Oct-4 protein
Peroxisome proliferator-activated receptors
Proteins
RelA protein
Studies
Superoxide dismutase
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Summary:Peroxisome proliferator-activated receptor γ (PPARG) might play a protective role in the development of myocardial infarction (MI) with limited mechanisms identified. Genes associated with both PPARG and MI were extracted from Elsevier Pathway Studio to construct the initial network. The gene expression activity within the network was estimated through a mega-analysis with eight independent expression datasets derived from Gene Expression Omnibus (GEO) to build PPARG and MI connecting pathways. After that, gene set enrichment analysis (GSEA) was conducted to explore the functional profile of the genes involved in the PPARG-driven network. PPARG demonstrated a significantly low expression in MI patients (LFC=−0.52; p
ISSN:1687-4757
1687-4765
DOI:10.1155/2020/1892375