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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Papadodima, O. Chatziioanou, A. Sirsjo, A. Kolisis, F.N. |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Health and Medical Sciences, Division of Clinical Medicine, University of Örebro, Sweden (Sirsjo, A.) || Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, 48 Vas. Constantinou Ave., 11635 Athens, Greece (Papadodima, O.; Chatziioanou, A.; Kolisis, F.N.) |
| Abstract | Atherosclerosis is a multifactorial disease involving a lot of genes and proteins recruited throughout its manifestation. The present study represents an integrative effort, coupling the results of a bioinformatic analysis based on microarray data of atherosclerotic aortic lesions of apoE knockout mice, a model widely used in atherosclerosis research, together with gene expression measurements of human atherosclerotic lesions. A dynamic analysis was performed among young and aged animals, at three different ages. GO-based pathway analysis indicated altered processes related to immune response and to inflammation as well as lipid transport and metabolism. Cluster analysis partitioned the significantly differentiated genes in five clusters of similar expression profile. Promoter analysis applied in a representative cluster amid those derived, revealed shared putative cis-elements potentially contributing to a common regulatory mechanism. Finally, comparison with the expression profiles of retinoic acid pathway genes in human atherosclerotic lesions, traced some common patterns of expression between the two organisms. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 399192 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424465590 |
| e-ISBN | 9781424465613 |
| DOI | 10.1109/ITAB.2010.5687785 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-03 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Immune system Cardiology Bioinformatics Humans Artificial neural networks Cancer |
| Content Type | Text |
| Resource Type | Article |
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