Literature DB >> 20956311

Divergent and nonuniform gene expression patterns in mouse brain.

John A Morris1, Joshua J Royall, Darren Bertagnolli, Andrew F Boe, Josh J Burnell, Emi J Byrnes, Cathy Copeland, Tsega Desta, Shanna R Fischer, Jeff Goldy, Katie J Glattfelder, Jolene M Kidney, Tracy Lemon, Geralyn J Orta, Sheana E Parry, Sayan D Pathak, Owen C Pearson, Melissa Reding, Sheila Shapouri, Kimberly A Smith, Chad Soden, Beth M Solan, John Weller, Joseph S Takahashi, Caroline C Overly, Ed S Lein, Michael J Hawrylycz, John G Hohmann, Allan R Jones.   

Abstract

Considerable progress has been made in understanding variations in gene sequence and expression level associated with phenotype, yet how genetic diversity translates into complex phenotypic differences remains poorly understood. Here, we examine the relationship between genetic background and spatial patterns of gene expression across seven strains of mice, providing the most extensive cellular-resolution comparative analysis of gene expression in the mammalian brain to date. Using comprehensive brainwide anatomic coverage (more than 200 brain regions), we applied in situ hybridization to analyze the spatial expression patterns of 49 genes encoding well-known pharmaceutical drug targets. Remarkably, over 50% of the genes examined showed interstrain expression variation. In addition, the variability was nonuniformly distributed across strain and neuroanatomic region, suggesting certain organizing principles. First, the degree of expression variance among strains mirrors genealogic relationships. Second, expression pattern differences were concentrated in higher-order brain regions such as the cortex and hippocampus. Divergence in gene expression patterns across the brain could contribute significantly to variations in behavior and responses to neuroactive drugs in laboratory mouse strains and may help to explain individual differences in human responsiveness to neuroactive drugs.

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Year:  2010        PMID: 20956311      PMCID: PMC2973884          DOI: 10.1073/pnas.1003732107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  27 in total

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