Gene expression changes in the post-mortem nucleus accumbens of chronic heroin abusers. Overall, little overlap in gene expression profiles was seen between the two drug-abusing cohorts: out of the approximately 39,000 transcripts investigated, the abundance of only 25 was significantly changed in both cocaine and heroin abusers, with nearly one-half of these being altered in opposite directions. 1050 Transcripts had different in abundance between the majority of heroin subjects and their matched controls.
This gene set comprises 239 genes that are differentially expressed within each of five brain regions (amygdala, hippocampus, nucleus accumbens, prefrontal cortex and ventral tegmental area) when chronic nicotine treatment is administered to C57BL/6J 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
Whole Brain Gene Expression Correlates for ACTI10_SAL measured in BXD RI Females obtained using INIA Brain mRNA M430 (Jun06) RMA. The ACTI10_SAL measures Distance traveled (cm) during the second five minute bin after saline under the domain Ethanol. 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
Striatum Gene Expression Correlates for COCA_TIME_COND_CHG measured in BXD RI Females & Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The COCA_TIME_COND_CHG measures Cocaine CPP - difference in time spent relative to baseline drug exposure under the domain Cocaine. 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
Striatum Gene Expression Correlates for HIC_SCORE measured in BXD RI Females & Males obtained using GeneNetwork Striatum M430V2 (Apr05) RMA. The HIC_SCORE measures Handling induced convulsion score under the domain Ethanol HIC. 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
A list of genes whose transcript abundance in the PFC changed significantly 4 hours after an acute dose of ethanol (1.8 g/kg). This list was generated using Fisher's Combined Probability test to analyze saline vs ethanol S-scores across B6 and D2 inbred strains (n=3) and 27 BXD RI lines (n=1). Statistical significance was determined using 1,000 permutations of S-score data and selecting for probe-sets with q-values < 0.05. Aaron Wolen 5-26-10.
Authors:
Wolen AR, Phillips CA, Langston MA, Putman AH, Vorster PJ, Bruce NA, York TP, Williams RW, Miles MF
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).
QTL for differences in cocaine responsiveness on Chr9 at D9Nds2 (73.94 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 48.94 - 98.94 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 cocaine related behaviol on Chr9 at D9Ncvs47 (74.75 Mbp , Build 37)
Description:
cocaine related behaviol spans 49.75 - 99.75 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 morphine antinociception on Chr9 at D9Mit8 (74.75 Mbp , Build 37)
Description:
morphine antinociception spans 49.75 - 99.75 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:
Bergeson SE, Helms ML, O\'Toole LA, Jarvis MW, Hain HS, Mogil JS, Belknap JK
QTL for differences in cocaine responsiveness on Chr9 at Pgm-3 (77.23 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 52.23 - 102.23 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 Mod-i (80.19 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 55.19 - 105.19 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 Crbp-2 (82.37 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 57.37 - 107.37 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:
Tolliver BK, Belknap JK, Woods WE, Carney JM
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