Literature DB >> 12482827

Expression profiling identifies 147 genes contributing to a unique primate neointimal smooth muscle cell phenotype.

Randolph L Geary1, James M Wong, Anthony Rossini, Stephen M Schwartz, Lawrence D Adams.   

Abstract

OBJECTIVE: This study represents the first in an effort to systematically characterize different intimas by using expression array analysis. METHODS AND
RESULTS: We compared smooth muscle cells (SMCs) of the neointima formed 4 weeks after aortic grafting with those from normal aorta and vena cava from cynomolgus monkeys. Hybridization to cDNA arrays identified subsets of 147 and 45 genes differentially expressed in the neointima versus the aorta and vena cava, respectively. The expression pattern differentiating neointima from aortic SMCs was characterized largely by suppression. Only 13 genes were induced in the neointima: 7 encoded matrix proteins (6 collagens and 1 versican) and 2 encoded inducers of matrix synthesis (osteoblast-specific factor-2/Cbfa1 and connective tissue growth factor). The genes suppressed most in the neointima included the regulator of G-protein signaling-5, SPARClike-1/hevin, and nonmuscle myosin heavy chain-B. A smaller gene set differentiated the neointima from the vena cava. Most were induced (39 of 45 genes), and overlap with the neointima-aorta set was significant (10 of 13 genes). Array results were validated with Northern analysis, in situ hybridization, or immunohistochemistry.
CONCLUSIONS: These data underscore the importance of matrix synthesis in neointimal maturation, and novel genes, newly associated with neointimal SMCs (regulator of G-protein signaling-5 and osteoblast-specific factor-2/Cbfa1), have raised new hypotheses regarding the pathogenesis of intimal hyperplasia.

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Year:  2002        PMID: 12482827     DOI: 10.1161/01.atv.0000038147.93527.35

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  23 in total

1.  Suppression subtractive hybridization identifies distinctive expression markers for coronary and internal mammary arteries.

Authors:  Minghui Qin; Zhaohui Zeng; Jie Zheng; Prediman K Shah; Stephen M Schwartz; Lawrence D Adams; Behrooz G Sharifi
Journal:  Arterioscler Thromb Vasc Biol       Date:  2003-01-30       Impact factor: 8.311

Review 2.  Extra-cellular matrix in vascular networks.

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Journal:  Physiol Genomics       Date:  2005-08-23       Impact factor: 3.107

Review 4.  Biomarkers of peripheral arterial disease.

Authors:  John P Cooke; Andrew M Wilson
Journal:  J Am Coll Cardiol       Date:  2010-05-11       Impact factor: 24.094

5.  Emerging roles of CCN proteins in vascular development and pathology.

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Journal:  J Cell Commun Signal       Date:  2016-05-30       Impact factor: 5.782

Review 6.  Genetic causation of neointimal hyperplasia in hemodialysis vascular access dysfunction.

Authors:  Timmy Lee; Davinder Wadehra
Journal:  Semin Dial       Date:  2011-09-15       Impact factor: 3.455

7.  Spatiotemporal mapping of matrix remodelling and evidence of in situ elastogenesis in experimental abdominal aortic aneurysms.

Authors:  Partha Pratim Deb; Anand Ramamurthi
Journal:  J Tissue Eng Regen Med       Date:  2014-05-06       Impact factor: 3.963

Review 8.  The role of endothelial mechanosensitive genes in atherosclerosis and omics approaches.

Authors:  Rachel D Simmons; Sandeep Kumar; Hanjoong Jo
Journal:  Arch Biochem Biophys       Date:  2015-12-11       Impact factor: 4.013

Review 9.  Omics-based approaches to understand mechanosensitive endothelial biology and atherosclerosis.

Authors:  Rachel D Simmons; Sandeep Kumar; Salim Raid Thabet; Sanjoli Sur; Hanjoong Jo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-06-24

10.  Regulation of collagen type I in vascular smooth muscle cells by competition between Nkx2.5 and deltaEF1/ZEB1.

Authors:  Markella Ponticos; Terrence Partridge; Carol M Black; David J Abraham; George Bou-Gharios
Journal:  Mol Cell Biol       Date:  2004-07       Impact factor: 4.272

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