QTL for ethanol induced locomotion on Chr2 at NA (141.12 Mbp , Build 37)
Description:
ethanol induced locomotion spans 116.12 - 166.12 Mbp (NCBI Build 37) on Chr2. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Hitzemann R, Demarest K, Koyner J, Cipp L, Patel N, Rasmussen E, McCaughran J Jr
QTL for high-dose ethanol actions on Chr2 at D2Mit21 (159.38 Mbp , Build 37)
Description:
high-dose ethanol actions spans 134.38 - 184.38 Mbp (NCBI Build 37) on Chr2. 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
QTL for METH responses for climbing on Chr2 at D2Mc1 (162.34 Mbp , Build 37)
Description:
METH responses for climbing spans 137.34 - 187.34 Mbp (NCBI Build 37) on Chr2. 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 Chr2 at D2Mit311 (162.39 Mbp , Build 37)
Description:
nicotine sensitivity spans 137.39 - 187.39 Mbp (NCBI Build 37) on Chr2. 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 Chr2 at D2Mit148 (183.66 Mbp , Build 37)
Description:
alcohol consumption spans 158.66 - 208.66 Mbp (NCBI Build 37) on Chr2. 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 alcohol preference locus on Chr2 at D2Mit74 (187.16 Mbp , Build 37)
Description:
alcohol preference locus spans 162.16 - 212.16 Mbp (NCBI Build 37) on Chr2. 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 Chr2 at D2Mit74 (187.16 Mbp , Build 37)
Description:
alcohol consumption spans 162.16 - 212.16 Mbp (NCBI Build 37) on Chr2. 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
Ethanol induced LORR Chr# 2 rs13476399(28144658) with right flanking marker rs3713997(3151175) and left marker rs3679483 (179861211). This was mapped in 300 + (b6x129)F2 mice.
Genes with particular expression in the Periventricular hypothalamic nucleus, posterior part. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Anterior olfactory nucleus, dorsal part. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Cortical amygdalar area, anterior part, layer 1. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Cortical amygdalar area, anterior part, layer 2. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Orbital area, lateral part, layer 1. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Cortical amygdalar area, anterior part. Data represent fold expression difference in structure versus grey matter average expression.
Genes with particular expression in the Orbital area, ventrolateral part, layer 1. Data represent fold expression difference in structure versus grey matter average expression.
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
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.
Alcohol Microglia depletion in the medial prefrontal cortex q-value
Description:
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.
Alcohol interaction of dependence and MG depletion the medial prefrontal cortex q-value
Description:
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.
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
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