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
QTL Associated with Consumption level. On Chromosome 17 with a LOD score= 11.4, p-value =0.001. From a(n) intercross of QTL Associated with Consumption level. On Chromosome 20 with a LOD score= 8, p-value =0.001. From a(n) intercross of
Authors:
Marissal-Arvy N, Diane A, Moisan MP, Larue-Achagiotis C, Tridon C, Tome D, Fromentin G, Mormède P
QTL Associated with Consumption level. On Chromosome 12 with a LOD score= 2.1, p-value =0.68. From a(n) of QTL Associated with Alcohol response. On Chromosome 20 with a LOD score= 3.2, p-value =0.05. From a(n) intercoss of
Authors:
Radcliffe RA, Erwin VG, Bludeau P, Deng X, Fay T, Floyd KL, Deitrich RA
QTL Associated with blood insulin amount. On Chromosome 17 with a LOD score= 8.82, p-value =0.001. From a(n) intercross of QTL Associated with blood insulin amount. On Chromosome 20 with a LOD score= 6.38, p-value =0.001. From a(n) intercross of
Authors:
Marissal-Arvy N, Heliès JM, Tridon C, Moisan MP, Mormède P
Alcohol Use Disorder (AUD) is a chronic, relapsing syndrome diagnosed by a heteroge- neous set of behavioral signs and symptoms. There are no laboratory tests that provide direct objective evidence for diagnosis. Microarray and RNA-Seq technologies enable genome-wide transcriptome profiling at low costs and provide an opportunity to identify bio- markers to facilitate diagnosis, prognosis, and treatment of patients. However, access to brain tissue in living patients is not possible. Blood contains cellular and extracellular RNAs that provide disease-relevant information for some brain diseases. We hypothesized that blood gene expression profiles can be used to diagnose AUD. We profiled brain (prefrontal cortex, amygdala, and hypothalamus) and blood gene expression levels in C57BL/6J mice using RNA-seq one week after chronic intermittent ethanol (CIE) exposure, a mouse model of alcohol dependence. We found a high degree of preservation (rho range: [0.50, 0.67]) between blood and brain transcript levels. There was small overlap between blood and brain DEGs, and considerable overlap of gene networks perturbed after CIE related to cell- cell signaling (e.g., GABA and glutamate receptor signaling), immune responses (e.g., anti- gen presentation), and protein processing / mitochondrial functioning (e.g., ubiquitination, oxidative phosphorylation). Blood gene expression data were used to train classifiers (logis- tic regression, random forest, and partial least squares discriminant analysis), which were highly accurate at predicting alcohol dependence status (maximum AUC: 90.1%). These results suggest that gene expression profiles from peripheral blood samples contain a bio- logical signature of alcohol dependence that can discriminate between CIE and Air subjects.
Authors:
Laura B Ferguson, Amanda J Roberts, R Dayne Mayfield, Robert O Messing
Ethanol Preference from BXD lines span 58586243-108586243. This interval was obtained by using an arbitrary interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org). Marker Loci associated with 10% Ethanol Preferences Drinking at p<0.05 (Two Tailed) in the BXD RI set and the Correlation Coefficient, p and Estimated LOD. D15Mit33 (83586243 NCBI 37) p=0.05, LOD=0.08 overall LOD BXD & Select Line 2.4.
QTL mapping results for B6D2F2 mice in regions provisionally identified in BXD RI mice for free-choice ethanol consumption. Peak D15Mit33 58586243-108586243. This interval was obtained by using an arbitrary interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org)
Genes identified as expressed lower (down) in the AJ strain than in the CAST strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed lower (down) in the AJ strain than in the CAST strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed higher (up) in the AJ strain than in the AJ strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Genes identified as expressed higher (up) in the AJ strain than in the NOD strain. Differentially expressed genes had a Q-value < 0.05 following the Benjamini-Hochberg methodology for false discovery rates in the limma+voom pipeline within edgeR. Q-value is reported from the topTable function.
Authors:
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