Unknown

Dataset Information

Transcriptional changes in Huntington disease identified using genome-wide expression profiling and cross-platform analysis.


ABSTRACT: Evaluation of transcriptional changes in the striatum may be an effective approach to understanding the natural history of changes in expression contributing to the pathogenesis of Huntington disease (HD). We have performed genome-wide expression profiling of the YAC128 transgenic mouse model of HD at 12 and 24 months of age using two platforms in parallel: Affymetrix and Illumina. The data from these two powerful platforms were integrated to create a combined rank list, thereby revealing the identity of additional genes that proved to be differentially expressed between YAC128 and control mice. Using this approach, we identified 13 genes to be differentially expressed between YAC128 and controls which were validated by quantitative real-time PCR in independent cohorts of animals. In addit

SUBMITTER: Becanovic K 

PROVIDER: S-EPMC2846159 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature