Identifying key genes associated with acute myocardial infarction

This study aimed to identify key genes associated with acute myocardial infarction (AMI) by reanalyzing microarray data. Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database. After data preprocessing, genes without heterogeneity across different p...

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Bibliographic Details
Published in:Medicine (Baltimore) 2017-10, Vol.96 (42), p.e7741-e7741
Main Authors: Cheng, Ming, An, Shoukuan, Li, Junquan
Format: Article
Language:English
Subjects:
Cell Cycle Proteins - genetics
Clinical Trial/Experimental Study
Databases, Genetic
Down-Regulation - genetics
Forkhead Box Protein O3 - genetics
Gene Expression Profiling
Gene Expression Regulation
Gene Regulatory Networks - genetics
Genetic Association Studies
Humans
MicroRNAs - metabolism
Myocardial Infarction - genetics
Real-Time Polymerase Chain Reaction
Trans-Activators - genetics
Transcription Factors - genetics
Up-Regulation - genetics
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Summary:This study aimed to identify key genes associated with acute myocardial infarction (AMI) by reanalyzing microarray data. Three gene expression profile datasets GSE66360, GSE34198, and GSE48060 were downloaded from GEO database. After data preprocessing, genes without heterogeneity across different platforms were subjected to differential expression analysis between the AMI group and the control group using metaDE package. P 
ISSN:0025-7974
1536-5964
DOI:10.1097/MD.0000000000007741