Abstract
The objective of this project was to search for consensus in differential gene expression data and in regulation of differentially expressed genes among DNA microarray studies of atherosclerotic vessels and plaque. Seventeen DNA microarray studies of atherosclerosis were analyzed. Only 19 genes were found to be differentially expressed in 3 or more of the studies. The nineteen genes belong to classic gene ontologies known to be involved in atherosclerosis: immunity and defense, metabolism, proteases, receptors, and signal transduction. Four bioinformatics programs (TRED, rVISTA, JASPAR, and Ariadne Pathways) were used to further analyze the promoter regions and common upstream regulators of the 19 genes. Twelve of the genes shared nine common upstream regulators, many of them known to affect atherosclerosis, and one possible new pathway was identified that may be involved in this disease.
Highlights
A number of DNA microarray studies of atherosclerosis from human tissue specimens, mouse models, and non-human primate models, have been published over the past decade
We hypothesized that DNA microarray data from a variety of atherosclerotic vascular beds would provide a consensus list of differentially expressed genes that would uncover molecular mechanisms underlying the pathology of atherosclerosis
In order to identify prominent gene expression changes in established atherosclerosis, we searched for genes that were differentially expressed in microarray publications of atherosclerotic vessels and plaque
Summary
A number of DNA microarray studies of atherosclerosis from human tissue specimens, mouse models, and non-human primate models, have been published over the past decade. These publications established lists of genes that were significantly changed in vessels containing atherosclerotic plaques as well as in the atherosclerotic plaques themselves. M. Eyster search for a consensus among these lists from DNA microarray studies of established atherosclerosis. Eyster search for a consensus among these lists from DNA microarray studies of established atherosclerosis This project was undertaken to search for similarities in differential gene expression data among DNA microarray studies of atherosclerotic vessels and plaque. We employed several bioinformatics programs to identify molecular data related to these differentially expressed genes and their relationship to atherosclerosis
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