Dataset Information

Expression data from mouse model of plaque regression

ABSTRACT: Atherosclerosis is the leading underlying cause of death worldwide. We reported a mouse model of atherosclerosis regression that involves transplanting an atherosclerotic aortic arch into a normolipidemic mouse. There, emigration of plaque foam cells occurred in a CCR7 (dendritic cell migration factor) dependent manner. It was obvious, though, that other pathways are likely to be involved in this process. We therefore performed microarrays on laser captured macrophages isolated from the progression and regression environments. This yielded two major findings. Firstly, genes associated with the contractile apparatus (such as actin and myosin) that are responsible for cellular movement were differentially up-regulated under regression conditions with members of the cadherin family (serves in adhesion functions) being significantly down-regulated. Secondly, the most highly up-regulated gene under regression was arginase I, a classical marker of the M2 alternative activated macrophage. Further examination revealed that regression was characterized by macrophages displaying other M2 markers such as CD163, C-lectin receptor, mannose receptor, and Fizz-1. In addition, we applied recently introduced local causal pathway discovery methods to our microarray data that revealed that genes such as vinculin and ApoCII may play a role in the pathophysiology of atherosclerosis regression. Ultimately, the insights gained from the regression model and the different modes of analyses should lead to new therapeutic targets against cardiovascular disease.

ORGANISM(S): Mus musculus

PROVIDER: GSE24819 | GEO | 2011/10/01

SECONDARY ACCESSION(S): PRJNA132199

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Cardiovascular diseases remain the leading cause of morbidity and mortality worldwide, most of which are caused by atherosclerosis. Discerning processes that participate in macrophage-to-foam cell formation are critical for understanding the basic mechanisms underlying atherosclerosis. To explore the molecular mechanisms of foam cell formation, the differentially expressed proteins were identified. Methods: In this paper, human monocytes, macrophage colony-stimulating factor induced macrophages, and oxidized low-density lipoprotein induced foam cells were cultured, and tandem mass tag (TMT) labeling combined with mass spectrometry (MS) were performed to find associations between foam cell transformation and proteome profiles. Results: Totally, 5146 quantifiable proteins were identified, among which 1515 and 182 differentially expressed proteins (DEPs) were found in macrophage/monocyte and foam cell/macrophage, respectively, using a cutoff of 1.5-fold change. Subcellular localization analysis revealed that downregulated DEPs of macrophages/monocytes were mostly located in the nucleus and upregulated DEPs of foam cells/macrophages mostly located in the plasma membrane and extracellular. Functional analysis of DEPs demonstrated that cholesterol metabolism related proteins were upregulated in foam cells, whereas the immune response-related proteins were downregulated in foam cells. The protein-interaction network showed that the DEPs with the highest interaction intensity between macrophages and foam cells were mainly concentrated in lysosomes and the endoplasmic reticulum. Conclusions: This study for the first time to perform quantitative proteomic investigation by TMT labeling and LC-MS/MS to identify differentially expressed proteins in human monocyte, macrophage, and foam cell. The results confirmed cholesterol metabolism was upregulated in foam cells, while immune response was suppressed, which suggested that foam cells were not the population that promote inflammation. In addition, KEGG enrichment analysis and protein-protein interaction indicated that the differentially expressed proteins locating in the endoplasmic reticulum and lysosomes may be key targets to regulate foam cell formation. These data provide a basis for identifying the potential proteins associated with the molecular mechanism involved in the transformation of macrophages to foam cells.

Dataset Information

Expression data from mouse model of plaque regression

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets