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| Integrated Genomic Analysis of Genetic Effects on Cerebellar Gene Expression | |||||||||
| A. D. Perkins1, R. Kirova2, H. R. Glenn3, D. J. Swanson3, R. Homayouni4, D. Goldowitz3, M. A. Langston1,2, and E. J. Chesler2 | |||||||||
Spontaneous and induced mutations or naturally occurring polymorphisms influence the expression and co-expression of genes in the cerebellum. We evaluated time-course gene expression effects in Pax6 Sey/Sey mutants and controls using cerebellar mRNA profiling with the Affymetrix U74Av2 microarray. We used linear modeling and time-course contrast analysis to classify genes based upon expression pattern. Results from mutant analysis were compared to genetic co-expression in a BXD reference population to determine whether developmentally co-expressed genes are also co-expressed in adults. Powerful graph algorithms were used to decompose the gene expression covariance matrix into sets of highly co-expressed genes. Analysis of the resulting gene sets was performed using various methods, including QTL analysis and literature mining.
Supported by NIH R01 to DG, EJC, MAL, RH, DJS |
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1Department of Computer Science, University of Tennessee, Knoxville, TN 2Mammalian Genetics & Genomics Group, Biological Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 3Center for Genomics & Bioinformatics, Department of Anatomy & Neurobiology, University of Tennessee Health Science Center, Memphis, TN 4Bioinformatics Program, Department of Biology, University of Memphis, Memphis, TN |
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