The current study used two inbred mouse strains, C57BL/6 J and A/J, to investigate the genetics of behavioral responses to fentanyl. Mice were tested for conditioned place preference and fentanyl-induced locomotor activity. C57BL/6J mice formed a conditioned place preference to fentanyl injections and fentanyl increased their activity. Neither effect was noted in A/J mice. We conducted RNA-sequencing on the nucleus accumbens of mice used for fentanyl-induced locomotor activity. Surprisingly, we noted few differentially expressed genes using treatment as the main factor. However many genes differed between strains.
Authors:
Samuel J Harp, Mariangela Martini, Will Rosenow, Larry D Mesner, Hugh Johnson, Charles R Farber, Emilie F Rissman
Differential gene expression in nucleus accumbens somatostatin interneurons_cocaine_mice_pvalue
Description:
To characterize transcriptional alterations that cocaine induces in these cells, we perform cell type-specific RNA-sequencing on FACS-isolated nuclei of somatostatin interneurons and identified 1100 DETs enriched for processes related to neural plasticity. To profile the entire (non poly-A selected) transcriptome of NAc somatostatin interneurons, we generated a transgenic reporter line (SST-TLG498 mice) to label the nuclei of these cells with a modified form of EGFP that is retained in the nuclear membrane (EGFP-F)22, enabling their isolation from NAc dissections using FACS. We succeeded in FACS-isolating nuclei suitable for RNA-sequencing from individual SST-TLG498 mice. We proceeded with differential expression analysis of the RNA-sequencing data to identify differentially expressed transcripts (DETs) in NAc somatostatin interneurons in response to repeated cocaine exposure: 778 transcripts were upregulated by cocaine and 322 were downregulated.
Authors:
Efrain A Ribeiro, Marine Salery, Joseph R Scarpa, Erin S Calipari, Peter J Hamilton, Stacy M Ku, Hope Kronman, Immanuel Purushothaman, Barbara Juarez, Mitra Heshmati, Marie Doyle, Casey Lardner, Dominicka Burek, Ana Strat, Stephen Pirpinias, Ezekiell Mouzon, Ming-Hu Han, Rachael L Neve, Rosemary C Bagot, Andrew Kasarskis, Ja Wook Koo, Eric J Nestler
Drug Naïve DO mice were tested for open field, light dark, hole board, novelty place preference before collecting the striatum. RNA-Seq data was analyzed with WGCNA using a soft thresholding power of 3 selected using the WGCNA scale-free topology R2 threshold of 0.9, signed network with a minimum module size of 30, correlation type is bicor, used numeric labels.
Drug Naïve DO mice were tested for open field, light dark, hole board, novelty place preference before collecting the striatum. RNA-Seq data was analyzed with paraclique using a bicor was used with a correlation coefficient threshold of |0.5| (unsigned), minimum seed clique size of 5, minimum finished paraclique size of 10, proportional glom factor of 0.2 for paraclique construction.
Microglia depletion and alcohol gene expression logFC
Description:
Alcohol abuse induces changes in microglia morphology and immune function, but whether microglia initiate or simply amplify the harmful effects of alcohol exposure is still a matter of debate. Here, we determine microglia function in acute and voluntary drinking behaviors using a colony-stimulating factor 1 receptor inhibitor (PLX5622). We show that microglia depletion does not alter the sedative or hypnotic effects of acute intoxication. Microglia depletion also does not change the escalation or maintenance of chronic voluntary alcohol consumption. Transcriptomic analysis revealed that although many immune genes have been implicated in alcohol abuse, down regulation of microglia genes does not necessitate changes in alcohol intake. Instead, microglia depletion and chronic alcohol result in compensatory upregulation of alcohol-responsive, reactive astrocyte genes, indicating astrocytes may play a role in regulation of these alcohol behaviors. Taken together, our behavioral and transcriptional data indicate that microglia are not theprimary effector cell responsible for regulation of acute and voluntary alcohol behaviors. Because microglia depletion did not regulate acute or voluntary alcohol behaviors, we hypothesized that these doses were insufficient to activate microglia and recruit them to an effector phenotype. Therefore, we used a model of repeated immune activation using polyinosinic:polycytidylic acid
We investigated the role of microglia in a mouse model of alcohol dependence using a colony stimulating factor 1 receptor inhibitor (PLX5622) to deplete microglia and a chronic intermittent ethanol vapor two-bottle choice drinking procedure. Additionally, we examined anxiety-like behavior during withdrawal. We then analyzed synaptic neuroadaptations in the central nucleus of the amygdala (CeA) and gene expression changes in the medial prefrontal cortex (mPFC) and CeA from the same animals used for behavioral studies.
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.
Using a zebrafish model, study demonstrates that adult zebrafish show dose-dependent acute conditioned place preference reinforcement response to ethanol or nicotine. To analyze gene expression results, microarray analysis was performed using whole brain samples and 153 genes affecting ethanol and nicotine dependence were found. This gene set comprises 140 genes showing 1.5-fold greater changes in expression in both ethanol-treated and nicotine-treated animals compared with control animals.
Whole Brain Gene Expression Correlates for PTOSIS measured in BXD RI Males obtained using INIA Brain mRNA M430 (Jun06) RMA. The PTOSIS measures Morphine - Severity of ptosis under the domain Morphine. 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
Neocortex Gene Expression Correlates for URINE measured in BXD RI Females obtained using GeneNetwork Neocortex ILM6v1.1 (Feb08) RankInv. The URINE measures Novel Open Field Number of urinations under the domain Morphine. 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
Heterozygote mice from a hybrid cross of C57BL/6J and FVB/NJ had heightened EtOH consumption, preference or blood EtOH concentration compared to either homozygous groups. The magnitude of dominant deviation on Chr. 11, as noted in Fig. 9, was measured after a drinking in the dark paradigm, 24hr two-bottle-choice and subsequent blood ethanol concentration measurement.
Authors:
Phillips TJ, Reed C, Burkhart-Kasch S, Li N, Hitzemann R, Yu CH, Brown LL, Helms ML, Crabbe JC, Belknap JK
Analyzed the gene expression profile of a homogeneous population of duodenal epithelial cells taken from patients with active celiac disease, in comparison to control patients. Of the 3,800 genes present on the array (all of which have been previously annotated), 3549 had sufficient data across the five experiments for comparison. Many of these genes showed fold-change ratios with little or no deviation from 1. Thus, to focus on only differentially expressed genes, the list was filtered on a fo
Authors:
Bracken S, Byrne G, Kelly J, Jackson J, Feighery C
cocaine related behavior 12 (Cocrb12) spans 85.558736 - 135.558736 Mbp (NCBI Build 37) on Chr 11. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
QTL for alcohol preference locus on Chr11 at D11Mit35 (80.34 Mbp , Build 37)
Description:
alcohol preference locus spans 55.34 - 105.34 Mbp (NCBI Build 37) on Chr11. 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 nicotine sensitivity on Chr11 at D11Mit39 (81.17 Mbp , Build 37)
Description:
nicotine sensitivity spans 56.17 - 106.17 Mbp (NCBI Build 37) on Chr11. 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 preference locus on Chr11 at D11Mit35 (106.61 Mbp , Build 37)
Description:
alcohol preference locus spans 81.61 - 131.61 Mbp (NCBI Build 37) on Chr11. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Chronic cocaine - Cocaine-paired (conditioned place preference) vs. Control (saline or cocaine-non-paired) DNA microarray All genes on microarray presented After the pre-conditioning phase where animals were allowed access to either compartment for 15 minutes for 4 consecutive days, the conditioning phase for the cocaine-paired groups and cocaine non-paired groups began, consisting of eight subsequent daily sessions. For both groups, cocaine (10 mg / kg) or saline injections were administered on alternate days. For the cocaine-paired groups, rats were immediately placed in one of the two compartments for 30 min with the door in place restricting a z transformation followed by z test and anova followed by Student-Newman-Keuls' post hoc test. Gene expression profile was assessed 24 h after the last conditioning session that corresponded to 48 h after last cocaine exposure, when drug has been eliminated from the body and transient transcriptional changes are likely to be minimal. Therefore, changes in gene expression at this time-point are likely to reflect longer lasting adaptations that may account for maintenance of cocaine-induced memories. The complete lists of normalized gene expression values for the hippocampus of saline-treated, cocaine non-paired and cocaine-paired groups are presented. Analyses revealed that 214 transcripts were differentially regulated in the hippocampus of cocaine-paired rats vs. non-paired and saline-treated controls. Cocaine-induced conditioned place preference caused significant increases in the expression of 151 genes and caused decreases in the expression of 63 genes. (NIF Table ID 130.1 [83])
Authors:
Krasnova IN, Li SM, Wood WH, McCoy MT, Prabhu VV, Becker KG, Katz JL, Cadet JL
Chronic cocaine - Cocaine-paired (conditioned place preference) vs. Control (saline or cocaine-non-paired) DNA microarray All genes on microarray presented After the pre-conditioning phase where animals were allowed access to either compartment for 15 minutes for 4 consecutive days, the conditioning phase for the cocaine-paired groups and cocaine non-paired groups began, consisting of eight subsequent daily sessions. For both groups, cocaine (10 mg / kg) or saline injections were administered on alternate days. For the cocaine-paired groups, rats were immediately placed in one of the two compartments for 30 min with the door in place restricting a z transformation followed by z test and anova followed by Student-Newman-Keuls' post hoc test. Gene expression profile was assessed 24 h after the last conditioning session that corresponded to 48 h after last cocaine exposure, when drug has been eliminated from the body and transient transcriptional changes are likely to be minimal. Therefore, changes in gene expression at this time-point are likely to reflect longer lasting adaptations that may account for maintenance of cocaine-induced memories. The complete lists of normalized gene expression values for the frontal cortex of saline-treated, cocaine non-paired and cocaine-paired groups are presented. Differences in the expression of 39 transcripts in the frontal cortex were related to the conditioned place preference paradigm. These include increases in the level of 22 genes and decreases in 17 genes. (NIF Table ID 130.3 [83.5])
Authors:
Krasnova IN, Li SM, Wood WH, McCoy MT, Prabhu VV, Becker KG, Katz JL, Cadet JL
Genes associated with Carassius auratus that interact with the MeSH term 'Diuron' (D004237). Incorporates data from 6 publications curated by the Comparative Toxicogenomics Database (CTD). ODE Gene scores represent number of supporting publications per gene.
Authors:
None
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