Literature DB >> 16707780

Combined application of behavior genetics and microarray analysis to identify regional expression themes and gene-behavior associations.

Noah E Letwin1, Neri Kafkafi, Yoav Benjamini, Cheryl Mayo, Bryan C Frank, Troung Luu, Norman H Lee, Greg I Elmer.   

Abstract

In this report we link candidate genes to complex behavioral phenotypes by using a behavior genetics approach. Gene expression signatures were generated for the prefrontal cortex, ventral striatum, temporal lobe, periaqueductal gray, and cerebellum in eight inbred strains from priority group A of the Mouse Phenome Project. Bioinformatic analysis of regionally enriched genes that were conserved across all strains revealed both functional and structural specialization of particular brain regions. For example, genes encoding proteins with demonstrated anti-apoptotic function were over-represented in the cerebellum, whereas genes coding for proteins associated with learning and memory were enriched in the ventral striatum, as defined by the Expression Analysis Systematic Explorer (EASE) application. Association of regional gene expression with behavioral phenotypes was exploited to identify candidate behavioral genes. Phenotypes that were investigated included anxiety, drug-naive and ethanol-induced distance traveled across a grid floor, and seizure susceptibility. Several genes within the glutamatergic signaling pathway (i.e., NMDA/glutamate receptor subunit 2C, calmodulin, solute carrier family 1 member 2, and glutamine synthetase) were identified in a phenotype-dependent and region-specific manner. In addition to supporting evidence in the literature, many of the genes that were identified could be mapped in silico to surrogate behavior-related quantitative trait loci. The approaches and data set described herein serve as a valuable resource to investigate the genetic underpinning of complex behaviors.

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Year:  2006        PMID: 16707780      PMCID: PMC6675305          DOI: 10.1523/JNEUROSCI.4602-05.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  23 in total

1.  DNA methylation signatures within the human brain.

Authors:  Christine Ladd-Acosta; Jonathan Pevsner; Sarven Sabunciyan; Robert H Yolken; Maree J Webster; Tiffany Dinkins; Pauline A Callinan; Jian-Bing Fan; James B Potash; Andrew P Feinberg
Journal:  Am J Hum Genet       Date:  2007-11-01       Impact factor: 11.025

2.  Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance.

Authors:  Jitendra Kumar; Samatha Gunapati; Shahryar F Kianian; Sudhir P Singh
Journal:  Protoplasma       Date:  2018-04-12       Impact factor: 3.356

3.  Retinoic acid inhibits endometrial cancer cell growth via multiple genomic mechanisms.

Authors:  You-Hong Cheng; Hiroki Utsunomiya; Mary Ellen Pavone; Ping Yin; Serdar E Bulun
Journal:  J Mol Endocrinol       Date:  2011-03-23       Impact factor: 5.098

4.  Neuroplasticity, axonal guidance and micro-RNA genes are associated with morphine self-administration behavior.

Authors:  Jenica D Tapocik; Truong V Luu; Cheryl L Mayo; Bi-Dar Wang; Erin Doyle; Alec D Lee; Norman H Lee; Greg I Elmer
Journal:  Addict Biol       Date:  2012-07-15       Impact factor: 4.280

Review 5.  Using expression genetics to study the neurobiology of ethanol and alcoholism.

Authors:  Sean P Farris; Aaron R Wolen; Michael F Miles
Journal:  Int Rev Neurobiol       Date:  2010       Impact factor: 3.230

6.  Gene Expression Under the Influence: Transcriptional Profiling of Ethanol in the Brain.

Authors:  Candice Contet
Journal:  Curr Psychopharmacol       Date:  2012-11

7.  Fine mapping of an epilepsy modifier gene on mouse Chromosome 19.

Authors:  Sarah K Bergren; Elizabeth D Rutter; Jennifer A Kearney
Journal:  Mamm Genome       Date:  2009-06-10       Impact factor: 2.957

8.  Serious limitations of the QTL/microarray approach for QTL gene discovery.

Authors:  Ricardo A Verdugo; Charles R Farber; Craig H Warden; Juan F Medrano
Journal:  BMC Biol       Date:  2010-07-12       Impact factor: 7.431

9.  Identification of candidate genes and gene networks specifically associated with analgesic tolerance to morphine.

Authors:  Jenica D Tapocik; Noah Letwin; Cheryl L Mayo; Bryan Frank; Troung Luu; Ovokeraye Achinike; Carrie House; Russell Williams; Greg I Elmer; Norman H Lee
Journal:  J Neurosci       Date:  2009-04-22       Impact factor: 6.167

10.  Neurotoxic consequences of chronic alcohol withdrawal: expression profiling reveals importance of gender over withdrawal severity.

Authors:  Joel G Hashimoto; Kristine M Wiren
Journal:  Neuropsychopharmacology       Date:  2007-06-27       Impact factor: 7.853

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