 |
 |
GEO help: Mouse over screen elements for information. |
|
| Status |
Public on Jul 03, 2010 |
| Title |
Differential endothelial cell gene expression by African Americans versus Caucasian Americans: A possible contribution to health disparity in vascular disease and cancer |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
|
| Summary |
Background: African Americans (AA) have increased burdens of cardiovascular disease and cancer compared to Caucasian Americans (CA). This study addresses the possibility that genetic differences affecting the biology of the vascular endothelium could be a factor contributing to this health disparity.
Methods: From self-identified, healthy, 20-29 year old AA (n=21) and CA (n=17), we established cultures of blood outgrowth endothelial cells (BOEC) and applied microarray profiling. BOEC have never been exposed to in vivo influences, and their gene expression reflects culture conditions (meticulously controlled) and donor genetics. Analysis used two distinct approaches. Significance Analysis of Microarray, a FDR-based test, identified significant differential expression of single genes. Gene Set Enrichment Analysis examined expression of pre-determined gene sets that survey each of nine biological systems relevant to endothelial cell biology.
Results: At the highly stringent threshold of FDR=0, we identified 31 single genes that were differentially expressed, 4 higher and 27 lower in AA. “PSPH” exhibited the greatest fold-change (AA>CA), but this was entirely accounted for by a homolog (PSPHL) hidden within the PSPH probe set. Among other significantly different genes were: for AA>CA, SOS1, AMFR, FGFR3; and for AA<CA, ARVCF, BIN3, EIF4B. Many more (221 transcripts for 204 genes) were differentially expressed at the more customary, less stringent threshold of FDR<.05. Using the biological systems approach, we identified shear response biology as being significantly altered for AA versus CA. It detected an apparent tonic increase of expression (AA>CA) for 46/157 genes within that system.
Conclusions: The most significant single gene changes detected for AA involved genes having substantial, known roles in endothelial biology. Biological systems analysis suggested that shear stress response, a critical regulator of endothelial function and vascular homeostasis, may be different between AA and CA. These results potentially have direct implications for the role of endothelial cells in both vascular disease (e.g., hypertension and stroke) and cancer (via angiogenesis). The present findings are consistent with our overarching hypothesis that genetic influences stemming from ancestral continent-of-origin could impact upon endothelial cell biology and thereby contribute to disparity of vascular-related disease burden amongst AA.
|
| |
|
| Overall design |
From self-identified, healthy, 20-29 year old AA (n=21) and CA (n=17), we established cultures of blood outgrowth endothelial cells (BOEC) and applied microarray profiling. BOEC have never been exposed to in vivo influences, and their gene expression reflects culture conditions (meticulously controlled) and donor genetics. Analysis used two distinct approaches. Significance Analysis of Microarray, a FDR-based test, identified significant differential expression of single genes. Gene Set Enrichment Analysis examined expression of pre-determined gene sets that survey each of nine biological systems relevant to endothelial cell biology.
|
| |
|
| Contributor(s) |
Wei P, Milbauer LC, Enenstein J, Nguyen J, Pan W, Hebbel RP |
| Citation(s) |
21223544 |
| |
| Submission date |
Jul 02, 2010 |
| Last update date |
Aug 10, 2018 |
| Contact name |
Robert Hebbel |
| E-mail(s) |
hebbe001@umn.edu, weixx035@umn.edu
|
| Phone |
612-624-6104
|
| Organization name |
University of Minnesota
|
| Department |
Medicine
|
| Street address |
516 Delaware St SE
|
| City |
Minneapolis |
| State/province |
MN |
| ZIP/Postal code |
55455 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL96 |
[HG-U133A] Affymetrix Human Genome U133A Array |
|
| Samples (38)
|
|
| Relations |
| BioProject |
PRJNA128329 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE22688_RAW.tar |
127.2 Mb |
(http)(custom) |
TAR (of CEL) |
| Processed data included within Sample table |
|
|
|
|
 |
Less...
More...