Project name: Development of gene expression signatures for progression and regression of atherosclerosis

Description: To further study the important genes related with the diagnosis and prognosis of atherosclerosis, we have employed whole genome microarray expression profiling as a discovery platform to identify genes with the atherosclerosis. we established a rabbit model of progression and regression of atherosclerosis through balloon injury and high-cholesterol diet and normal diet. Rabbit abdominal aortas from atherosclerosis among control, model group (progression) and recovery groups (regression) were collected. We found that the differentially expressed genes mainly enriched in four clusters and genes associated with inflammation and extracellular matrix were returned to or close to normal levels much earlier than the genes associated with metabolism and sarcoplasmic proliferation, they kept down-regulation or up-regulation for a long time after normal diet. Expression of four genes (LPL，BMP7，MCP2 and SST) from this signature was quantified in the same RNA samples by real-time PCR and maybe used as novel biomarkers and targets for improving the diagnosis and prognosis of atheroscleross in the future.Overall design: we established a rabbit model of progression and regression of atherosclerosis through balloon injury and high-cholesterol diet and normal diet. Rabbit abdominal aortas from atherosclerosis among control, model group (progression) and recovery groups (regression) were collected for gene chip.

Data type: Transcriptome or Gene expression

Sample scope: Multiisolate

Relevance: ModelOrganism

Last updated: 2018-11-19