QTL associated with dystrophic cardiac calcinosis 4. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (30304100)
QTL associated with insulin dependent diabetes susceptibility 8. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (21656627)
QTL associated with modifier of ocular retardation 2. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (25745310)
QTL associated with resistance to thymic deletion 3. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (13403047)
Authors:
Liston A, Lesage S, Gray DH, O\'Reilly LA, Strasser A, Fahrer AM, Boyd RL, Wilson J, Baxter AG, Gallo EM, Crabtree GR, Peng K, Wilson SR, Goodnow CC
QTL associated with white blood cell quantitative locus 6. This interval was obtained by using a fixed interval width of 25 Mbp around the peak marker (17356225)
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
DEG PFC in adolescent D2 mice 24hr post treatment_pvalue
Description:
DBA/2J males and females (n = 24/sex) were orally dosed with 4 g/kg ethanol (25% w/v in water by gavage) or water intermittently (2 days on/2 days off) on PND 29, 30, 33, 34, 37, 38, 41, and 42. Tissue was collected for gene expression studies at PND 43 (n = 22) and PND 66 (n = 19). Behaviorally naïve tissue from the PFC was collected 24 h (at PND 43) and 3 weeks (at PND 66) after the last ethanol binge (dose). Total RNA was analyzed for gene-level expression differences using Mouse Transcriptome Arrays v1.0. Two complementary analyses were conducted to interrogate differential gene expression at each age. Gene Ontology over-representation analysis identified six categories involved in oligodendrocyte development and myelination as the primary Biological Processes altered by adolescent binge ethanol. For transcript IDs significant for the interaction between sex and adolescent treatment, Gene Ontology analysis only identified two over-represented cellular components: ER chaperone component and smooth ER. When comparing gene expression between adolescent males vs. females, most of the differentially expressed genes either resided on the Y chromosome (Ddx3y, Eif2s3y, Kdm5d, Uty), or are known to escape X-inactivation (Ddx3x, Eif2s3x, Kdm5c, Kdm6a) in mice (Yang et al., 2010). Over-represented Gene Ontology categories (Supplementary Table 2) reflect their processes, such as histone demethylase activity, angiotensin catabolic processes in blood, cell adhesion and regulation of gap junction assembly. Genes in this geneset are all significantly altered as a main effect of treatment, sex, or the interaction between treatment and sex (p < 0.01).
Authors:
Jennifer T Wolstenholme, Tariq Mahmood, Guy M Harris, Shahroze Abbas, Michael F Miles
Adolescent D2 transcripts sig. altered in PFC using S-score analysis at FDR < 0.05 (EtOH vs control)
Description:
DBA/2J males and females (n = 24/sex) were orally dosed with 4 g/kg ethanol (25% w/v in water by gavage) or water intermittently (2 days on/2 days off) on PND 29, 30, 33, 34, 37, 38, 41, and 42. Tissue was collected for gene expression studies at PND 43 (n = 22) and PND 66 (n = 19). Behaviorally naïve tissue from the PFC was collected 24 h (at PND 43) and 3 weeks (at PND 66) after the last ethanol binge (dose). Total RNA was analyzed for gene-level expression differences using Mouse Transcriptome Arrays v1.0. We performed an analysis using the S-score probe-level algorithm which we have previously shown to have increased sensitivity for differential expression analysis (Zhang et al., 2002; Kennedy et al., 2006). For this analysis, data was collapsed over sex to increase the power to detect differences between ethanol treatment versus controls and to focus on lasting differences following binge ethanol. To assess genes that were persistently regulated long-term following adolescent binge ethanol, we intersected the S-score analysis gene list significantly altered by ethanol in adolescents with the list obtained from adults.
Authors:
Jennifer T Wolstenholme, Tariq Mahmood, Guy M Harris, Shahroze Abbas, Michael F Miles
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