Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptome from circulating cells reveals dysregulated pathways associated with long-term recurrent events following first-time myocardial infarction


ABSTRACT: Whole-genome gene expression analysis has been successfully utilized to diagnose, prognosticate, and identify potential therapeutic targets for cardiovascular disease. However, the utility of this approach to identify outcome-related genes and dysregulated pathways following first-time myocardial infarction (AMI) remains unknown and may offer a novel strategy to detect affected expressome networks that predict long-term outcome. Whole-genome microarray and targeted cytokine expression profiling on blood samples from normal cardiac function controls and first-time AMI patients within 48-hours post-MI revealed expected differential gene expression profiles enriched for inflammation and immune-response pathways in AMI patients. To determine molecular signatures at the time of AMI that could

ORGANISM(S): Homo sapiens

SUBMITTER: XING LI 

PROVIDER: E-GEOD-48060 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress