Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human aortic biopsy samples having differing degrees of stiffness

ABSTRACT: BACKGROUND: Previous genomic studies with human tissues have compared differential gene expression between 2 conditions (ie, normal versus diseased) to identify altered gene expression in a binary manner; however, a potentially more informative approach is to correlate the levels of gene expression with quantitative physiological parameters. METHODS AND RESULTS: In this study, we have used this approach to examine genes whose expression correlates with arterial stiffness in human aortic specimens. Our data identify 2 distinct groups of genes, those associated with cell signaling and those associated with the mechanical regulation of vascular structure (cytoskeletal-cell membrane-extracellular matrix). Although previous studies have concentrated on the contribution of the latter group toward arterial stiffness, our data suggest that changes in expression of signaling molecules play an equally important role. Alterations in the profiles of signaling molecules could be involved in the regulation of cell cytoskeletal organization, cell-matrix interactions, or the contractile state of the cell. CONCLUSIONS: Although the influence of smooth muscle contraction/relaxation on arterial stiffness could be controversial, our provocative data would suggest that further studies on this subject are indicated.

Note that files GSM6179.txt and GSM6182.txt as imported from GEO are identical.

ORGANISM(S): Homo sapiens

SUBMITTER: Richard Pratt

PROVIDER: E-GEOD-420 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Physiological genomics of human arteries: quantitative relationship between gene expression and arterial stiffness.

Durier Séverine S Fassot Céline C Laurent Stéphane S Boutouyrie Pierre P Couetil Jean-Paul JP Fine Erika E Lacolley Patrick P Dzau Victor J VJ Pratt Richard E RE

Circulation 20031006 15

<h4>Background</h4>Previous genomic studies with human tissues have compared differential gene expression between 2 conditions (ie, normal versus diseased) to identify altered gene expression in a binary manner; however, a potentially more informative approach is to correlate the levels of gene expression with quantitative physiological parameters.<h4>Methods and results</h4>In this study, we have used this approach to examine genes whose expression correlates with arterial stiffness in human ao ...[more]

PMID: 14530203

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Dataset Information

Transcription profiling of human aortic biopsy samples having differing degrees of stiffness

Publications

Physiological genomics of human arteries: quantitative relationship between gene expression and arterial stiffness.

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