alcohol response 4 (a.k.a. high-dose ethanol actions) is associated with neurotensin immunoreactivity and sleep time after alcohol administration mapped to 55 cM on mouse Chromosome 9 near D9Mit12 (P=0.0006). This locus is named Alcrsp4 (alcohol response 4). Potential candidate genes found in this region are Chrna3 and Gnai2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Erwin VG, Markel PD, Johnson TE, Gehle VM, Jones BC
Differential-Expression Comparison of Mutant SOD1 Microglia RNA-Seq Data Relative to Control Microglia at D100 with an FDR<0.05, uploaded with p-value.
Authors:
Chiu IM, Morimoto ET, Goodarzi H, Liao JT, O\'Keeffe S, Phatnani HP, Muratet M, Carroll MC, Levy S, Tavazoie S, Myers RM, Maniatis T
Genes that are differentially expressed in adult male C57BL/6J mice given acute cocaine vs. acute saline. Tissue was collected from the ventral tegmental area (VTA) of the brain. Gene expression was evaluated via RNA-seq, and differential gene expression was determined via linear regression (LR).D13 Values presented are p-values. Data taken from Supplementary Table 1. Data available from GEO with accession number GSE155313."
Authors:
Rianne R Campbell, Siwei Chen, Joy H Beardwood, Alberto J López, Lilyana V Pham, Ashley M Keiser, Jessica E Childs, Dina P Matheos, Vivek Swarup, Pierre Baldi, Marcelo A Wood
Genes that are differentially expressed in adult male C57BL/6J mice given chronic cocaine vs. chronic saline. Tissue was collected from the ventral tegmental area (VTA) of the brain. Gene expression was evaluated via RNA-seq, and differential gene expression was determined via linear regression (LR).D13 Values presented are p-values. Data taken from Supplementary Table 1. Data available from GEO with accession number GSE155313."
Authors:
Rianne R Campbell, Siwei Chen, Joy H Beardwood, Alberto J López, Lilyana V Pham, Ashley M Keiser, Jessica E Childs, Dina P Matheos, Vivek Swarup, Pierre Baldi, Marcelo A Wood
Alcohol use disorder (AUD) is a complex psychiatric disorder with strong genetic and environmental risk factors. We studied the molecular perturbations underlying risky drinking behavior by measuring transcriptome changes across the neurocircuitry of addiction in a genetic mouse model of binge drinking. Sixteen generations of selective breeding for high blood alcohol levels after a binge drinking session produced global changes in brain gene expression in alcohol-naïve High Drinking in the Dark (HDID-1) mice. Using gene expression profiles to generate circuit-level hypotheses, we developed a systems approach that integrated regulation of gene coexpression networks across multiple brain regions, neuron-specific transcriptional signatures, and knowledgebase analytics. Whole-cell, voltage-clamp recordings from nucleus accumbens shell neurons projecting to the ventral tegmental area showed differential ethanol-induced plasticity in HDID-1 and control mice and provided support for one of the hypotheses. There were similarities in gene networks between HDID-1 mouse brains and postmortem brains of human alcoholics, suggesting that some gene expression patterns associated with high alcohol consumption are conserved across species. This study demonstrated the value of gene networks for data integration across biological modalities and species to study mechanisms of disease.
Authors:
Laura B Ferguson, Lingling Zhang, Daniel Kircher, Shi Wang, R Dayne Mayfield, John C Crabbe, Richard A Morrisett, R Adron Harris, Igor Ponomarev
Alcohol use disorder (AUD) is a complex psychiatric disorder with strong genetic and environmental risk factors. We studied the molecular perturbations underlying risky drinking behavior by measuring transcriptome changes across the neurocircuitry of addiction in a genetic mouse model of binge drinking. Sixteen generations of selective breeding for high blood alcohol levels after a binge drinking session produced global changes in brain gene expression in alcohol-naïve High Drinking in the Dark (HDID-1) mice. Using gene expression profiles to generate circuit-level hypotheses, we developed a systems approach that integrated regulation of gene coexpression networks across multiple brain regions, neuron-specific transcriptional signatures, and knowledgebase analytics. Whole-cell, voltage-clamp recordings from nucleus accumbens shell neurons projecting to the ventral tegmental area showed differential ethanol-induced plasticity in HDID-1 and control mice and provided support for one of the hypotheses. There were similarities in gene networks between HDID-1 mouse brains and postmortem brains of human alcoholics, suggesting that some gene expression patterns associated with high alcohol consumption are conserved across species. This study demonstrated the value of gene networks for data integration across biological modalities and species to study mechanisms of disease.
Authors:
Laura B Ferguson, Lingling Zhang, Daniel Kircher, Shi Wang, R Dayne Mayfield, John C Crabbe, Richard A Morrisett, R Adron Harris, Igor Ponomarev
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
Subset dataset of differentially expressed genes at padj < 0.05 of GS407879.
Authors:
Samuel J Harp, Mariangela Martini, Will Rosenow, Larry D Mesner, Hugh Johnson, Charles R Farber, Emilie F Rissman
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