Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA135907 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The primary aim of the present study was to identify differences on the transcription level between ruptured and unruptured intracranial aneurysms as well as normal intracranial arteries in human. Keywords: Expression profiling by array Global gene expression profiling was performed in human intracranial aneurysms both ruptured (n=8) and unruptured (n=6) as well as in control intracranial arteries (middle meningeal artery, MMA; n=5) using oligonucleotide microarrays.
2010-05-08 | E-GEOD-15629 | biostudies-arrayexpress
Project description:The biological mechanisms by which cerebral aneurysms emerge, enlarge and rupture are not totally understood. In the present study, we analyzed the genome-wide gene expression profile in human intracranial aneurysms using cDNA microarrays. Intracranial arterial aneurysm samples (n = 3) and normal superficial temporal artery samples (control, n = 3) were obtained from individual subjects. All aneurysm samples were unruptured aneurysms confirmed by Magnetic Resonance Image or Digital Subtraction Angiography. Affymetrix HU133 Plus 2.0 microarrays were used to compare gene expression levels between aneurismal and normal blood vessels.
2011-02-01 | E-GEOD-26969 | biostudies-arrayexpress
Project description:Comparison of gene expression between ruptured and unruptured human intracranial aneurysms
| PRJNA109833 | ENA
Project description:Background and Purpose—Analyzing genes involved in development and rupture of intracranial aneurysms can enhance knowledge about the pathogenesis of aneurysms, and identify new treatment strategies. We compared gene expression between ruptured and unruptured aneurysms and control intracranial arteries. Methods—We determined expression levels with RNA sequencing. Applying a multivariate negative binomial model, we identified genes that were differentially expressed between 44 aneurysms and 16 control arteries, and between 22 ruptured and 21 unruptured aneurysms. The differential expression of 8 relevant and highly significant genes was validated using digital polymerase chain reaction. Pathway analysis was used to identify enriched pathways. We also analyzed genes with an extreme pattern of differential expression: only expressed in 1 condition without any expression in the other. Results—We found 229 differentially expressed genes in aneurysms versus controls and 1489 in ruptured versus unruptured aneurysms. The differential expression of all 8 genes selected for digital polymerase chain reaction validation was confirmed. Extracellular matrix pathways were enriched in aneurysms versus controls, whereas pathways involved in immune response and the lysosome pathway were enriched in ruptured versus unruptured aneurysms. Immunoglobulin genes were expressed in aneurysms, but showed no expression in controls. Conclusions—For rupture of intracranial aneurysms, we identified the lysosome pathway as a new pathway and found further evidence for the role of the immune response. Our results also point toward a role for immunoglobulins in the pathogenesis of aneurysms. Immune-modifying drugs are, therefore, interesting candidate treatment strategies in the prevention of aneurysm development and rupture.
2018-11-26 | GSE122897 | GEO
Project description:Global expression profiling of ruptured and unruptured human intracranial aneurysms
| PRJNA115623 | ENA
Project description:The primary aim of the present study was to identify differences on the transcription level between ruptured and unruptured intracranial aneurysms as well as normal intracranial arteries in human. Keywords: Expression profiling by array
2010-03-04 | GSE15629 | GEO
Project description:Gene expression profiling of intracranial aneurysms
| PRJNA234765 | ENA
Project description:Expression data from intracranial arteries and intracranial aneurysms
| PRJNA98593 | ENA
Project description:Gene expression information is useful in prioritizing candidate genes in linkage intervals. The data can also identify pathways involved in the pathophysiology of disease. We used microarrays to identify which genes are expressed in either intracranial arteries (control) or in intracranial aneurysms (case), and can therefore contribute to the disease phenotypes. We used microarrays to identify the pathway membership of expressed genes and the overrepresentation of pathways with expressed genes in the known linkage intervals for intracranial aneurysms. Keywords: Characterization of expression in both diseased and non-diseased intracranial arteries.
2007-11-20 | GSE6551 | GEO