Literature DB >> 20606469

Transcription profiles of aortic smooth muscle cells from atherosclerosis-prone and -resistant regions in young apolipoprotein E-deficient mice before plaque development.

Tim Van Assche1, Jan Hendrickx, Herta M Crauwels, Pieter-Jan Guns, Wim Martinet, Paul Fransen, Martine Raes, Hidde Bult.   

Abstract

BACKGROUND/AIMS: Site-specific atherosclerosis is generally attributed to differential gene expression in endothelial cells. We investigated whether the transcriptome of smooth muscle cells is different between atherosclerosis-prone and atherosclerosis-resistant regions in apolipoprotein E-deficient (apoE-/-) mice before plaque development, and in C57Bl/6 mice.
METHODS: De-endothelialized aortas (both strains: 3 males, 3 females, age 4 months) were divided into atherosclerosis-prone (AA: ascending aorta, aortic arch and proximal 2 mm of thoracic aorta) and -resistant (CTA: central thoracic aorta, i.e. 6 mm distal from the proximal 2 mm) regions. The transcriptome of these two regions was compared using whole-genome mouse microarrays.
RESULTS: Microarray analysis revealed differential expression (>2-fold difference) of 70 and 244 genes in C57Bl/6 and apoE-/- mice. This was confirmed for 6 genes using the real-time quantitative polymerase chain reaction. Up- or downregulation in the AA was observed for 33 and 37 genes in C57Bl/6, and for 186 and 58 genes in apoE-/- mice, respectively. The 201 genes that showed exclusively differential expression in apoE-/- mice were related to atherosclerotic processes, such as cell adhesion, proliferation, differentiation, motility, cell death, lipid metabolism and immune responses.
CONCLUSION: Our findings indicate that smooth muscle cells display an altered transcriptome at atherosclerosis-prone locations before actual lesion development.
Copyright © 2010 S. Karger AG, Basel.

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Year:  2010        PMID: 20606469     DOI: 10.1159/000317398

Source DB:  PubMed          Journal:  J Vasc Res        ISSN: 1018-1172            Impact factor:   1.934


  10 in total

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9.  Transcriptome Profiling in Systems Vascular Medicine.

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10.  Disease-relevant transcriptional signatures identified in individual smooth muscle cells from healthy mouse vessels.

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  10 in total

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