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RSS FeedsA common gene expression signature in Huntington¿s disease patient brain regions (BMC Medical Genomics)

 
 

31 october 2014 00:16:55

 
A common gene expression signature in Huntington¿s disease patient brain regions (BMC Medical Genomics)
 


Background: Gene expression data provide invaluable insights into disease mechanisms. In Huntington?s disease (HD), a neurodegenerative disease caused by a tri-nucleotide repeat expansion in the huntingtin gene, extensive transcriptional dysregulation has been reported. Conventional dysregulation analysis has shown that e.g. in the caudate nucleus of the post mortem HD brain the gene expression level of about a third of all genes was altered. Owing to this large number of dysregulated genes, the underlying relevance of expression changes is often lost in huge gene lists that are difficult to comprehend. Methods: To alleviate this problem, we employed weighted correlation network analysis to archival gene expression datasets of HD post mortem brain regions. Results: We were able to uncover previously unidentified transcription dysregulation in the HD cerebellum that contained a gene expression signature in common with the caudate nucleus and the BA4 region of the frontal cortex. Furthermore, we found that yet unassociated pathways, e.g. global mRNA processing, were dysregulated in HD. We provide evidence to show that, contrary to previous findings, mutant huntingtin is sufficient to induce a subset of stress response genes in the cerebellum and frontal cortex BA4 region. The comparison of HD with other neurodegenerative disorders showed that the immune system, in particular the complement system, is generally activated. We also demonstrate that HD mouse models mimic some aspects of the disease very well, while others, e.g. the activation of the immune system are inadequately reflected. Conclusion: Our analysis provides novel insights into the molecular pathogenesis in HD and identifies genes and pathways as potential therapeutic targets.


 
131 viewsCategory: Genomics, Medicine
 
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