Cerebellum differential expression analysis of genotype by time effects in Pax6 mice and controls. This set contains genes for which there is an additive effect of the mutation and linear increase in both mutant and wild types through time.
Activation of the mesolimbic dopamine reward pathway by acute ethanol produces reinforcement and changes in gene expression that appear to be crucial to the molecular basis for adaptive behaviors and addiction. The inbred mouse strains DBA/2J and C57BL/6J exhibit contrasting acute behavioral responses to ethanol. We used oligonucleotide microarrays and bioinformatics methods to characterize patterns of gene expression in three brain regions of the mesolimbic reward pathway of these strains. Expression profiling included examination of both differences in gene expression 4 h after saline injection or acute ethanol (2 g/kg). Using a rigorous stepwise method for microarray analysis, we identified 788 genes differentially expressed in control DBA/2J versus C57BL/6J mice and 307 ethanol-regulated genes in the nucleus accumbens, prefrontal cortex, and ventral tegmental area. There were strikingly divergent patterns of ethanol-responsive gene expression in the two strains. Ethanol-responsive genes also showed clustering at discrete chromosomal regions, suggesting local chromatin effects in regulation. Ethanol-regulated genes were generally related to neuroplasticity, but regulation of discrete functional groups and pathways was brain region specific: glucocorticoid signaling, neurogenesis, and myelination in the prefrontal cortex; neuropeptide signaling and developmental genes, including factor Bdnf, in the nucleus accumbens; and retinoic acid signaling in the ventral tegmental area. Bioinformatics analysis identified several potential candidate genes for quantitative trait loci linked to ethanol behaviors, further supporting a role for expression profiling in identifying genes for complex traits. Brain region-specific changes in signaling and neuronal plasticity may be critical components in development of lasting ethanol behavioral phenotypes such as dependence, sensitization, and craving.
This gene set comprises 399 genes that are differentially expressed within each of five brain regions (amygdale, hippocampus, nucleus accumbens, prefrontal cortex and ventral tegmental area) when chronic nicotine treatment is administered to C3H/HeJ mice only. Background: Studies involving use of chronic nicotine treatment identify unique nicotine addiction genes and the biological processes they control in B6 and C3 mice. Results are obtained using gene expression profiling and gene ontology.
Authors:
Wang J, Gutala R, Hwang YY, Kim JM, Konu O, Ma JZ, Li MD
A list of the 307 genes found to be upregulated or downregulated by ethanol in PFC, VTA or NA of B6 or D2 mice. ID number represents cluster membership from Figure 4.
Authors:
Kerns RT, Ravindranathan A, Hassan S, Cage MP, York T, Sikela JM, Williams RW, Miles MF
Cerebellum Gene Expression Correlates for VOCA_THRESHOLD measured in BXD RI Females & Males obtained using SJUT Cerebellum mRNA M430 (Mar05) RMA. The VOCA_THRESHOLD measures Vocalization Threshold - shock intensity (mA) under the domain Stress Vocalization. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
Hippocampus Gene Expression Correlates for VOCA_THRESHOLD measured in BXD RI Males obtained using GeneNetwork Hippocampus Consortium M430v2 (Jun06) RMA. The VOCA_THRESHOLD measures Vocalization Threshold - shock intensity (mA) under the domain Stress Vocalization. The correlates were thresholded at a p-value of less than 0.001.
Authors:
Philip VM, Duvvuru S, Gomero B, Ansah TA, Blaha CD, Cook MN, Hamre KM, Lariviere WR, Matthews DB, Mittleman G, Goldowitz D, Chesler EJ
Renthal W, Kumar A, Xiao G, Wilkinson M, Covington HE 3rd, Maze I, Sikder D, Robison AJ, LaPlant Q, Dietz DM, Russo SJ, Vialou V, Chakravarty S, Kodadek TJ, Stack A, Kabbaj M, Nestler EJ
Renthal W, Kumar A, Xiao G, Wilkinson M, Covington HE 3rd, Maze I, Sikder D, Robison AJ, LaPlant Q, Dietz DM, Russo SJ, Vialou V, Chakravarty S, Kodadek TJ, Stack A, Kabbaj M, Nestler EJ
cocaine related behavior 8 (Cocrb8) spans 26.931283 - 76.931283 Mbp (NCBI Build 37) on Chr 9. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
cocaine related behavior 9 (Cocrb9) spans 49.746096 - 99.746096 Mbp (NCBI Build 37) on Chr 9. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
Alcohol preference QTL 1 spans 26931283-76931283 (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org). Phenotypically extreme HAP1/LAP1 animals (n=96) and HAP2/LAP2 animals (n=48) were screened for microsatellite markers in chromosomal regions previously reported to influence alcohol preference phenotypes. Linkage to alcohol preference, Alpq1, mapped to chromosome 9 near D9Mit4 (29 cM) in the HAP1/LAP1 set and near D9Mit90 (9 cM) in the HAP2/LAP2 set. The Alpq1 QTL interval is broad and may contain more than 1 underlying gene. Drd2 at 28 cM is a potential candidate for Alpq1.
Authors:
Bice PJ, Foroud T, Carr LG, Zhang L, Liu L, Grahame NJ, Lumeng L, Li TK, Belknap JK
QTL for cocaine related behavior on Chr9 at D9Mit4 (52.27 Mbp , Build 37)
Description:
cocaine related behavior spans 27.27 - 77.27 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
ethanol consumption 3 spans 27.27 - 77.27 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for differences in cocaine responsiveness on Chr9 at Emv-3 (68.73 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 43.73 - 93.73 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for differences in cocaine responsiveness on Chr9 at d (68.73 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 43.73 - 93.73 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for differences in cocaine responsiveness on Chr9 at Gsta (69.74 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 44.74 - 94.74 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
QTL for alcohol consumption on Chr9 at D9Mit54 (69.74 Mbp , Build 37)
Description:
alcohol consumption spans 44.74 - 94.74 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Vadasz C, Saito M, Gyetvai B, Mikics E, Vadasz C 2nd
QTL for differences in cocaine responsiveness on Chr9 at D9M!t8 (71.95 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 46.95 - 96.95 Mbp (NCBI Build 37) on Chr9. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
GeneWeaver