cocaine related behavior 2 (Cocrb2) spans 144.050573 - 194.050573 Mbp (NCBI Build 37) on Chr 1. Obtained from MGI (http://www.informatics.jax.org) by searching for QTLs containing the keyword .
QTL for ethanol conditioned taste aversion on Chr1 at NA (167.59 Mbp , Build 37)
Description:
ethanol conditioned taste aversion spans 142.59 - 192.59 Mbp (NCBI Build 37) on Chr1. 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 cocaine related behavior on Chr1 at D1Ncvs12 (169.05 Mbp , Build 37)
Description:
cocaine related behavior spans 144.05 - 194.05 Mbp (NCBI Build 37) on Chr1. 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 METH responses for climbing on Chr1 at D1Ncvs12 (169.05 Mbp , Build 37)
Description:
METH responses for climbing spans 144.05 - 194.05 Mbp (NCBI Build 37) on Chr1. 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 Acute ethanol sensitivity on Chr1 at NA (174.52 Mbp , Build 37)
Description:
Acute ethanol sensitivity spans 149.52 - 199.52 Mbp (NCBI Build 37) on Chr1. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Radcliffe RA, Bohl ML, Lowe MV, Cycowski CS, Wehner JM
QTL for differences in cocaine responsiveness on Chr1 at Mpmv-22 (181.89 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 156.89 - 206.89 Mbp (NCBI Build 37) on Chr1. 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 differences in cocaine responsiveness on Chr1 at Pmv-21 (181.89 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 156.89 - 206.89 Mbp (NCBI Build 37) on Chr1. 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 differences in cocaine responsiveness on Chr1 at D1MIt17 (181.89 Mbp , Build 37)
Description:
differences in cocaine responsiveness spans 156.89 - 206.89 Mbp (NCBI Build 37) on Chr1. 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 activity response to ethanol on Chr1 at NA (184.43 Mbp , Build 37)
Description:
activity response to ethanol spans 159.43 - 209.43 Mbp (NCBI Build 37) on Chr1. 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 morphine preference on Chr1 at NA (185.54 Mbp , Build 37)
Description:
morphine preference spans 160.54 - 210.54 Mbp (NCBI Build 37) on Chr1. This interval was obtained by using an interval width of 25 Mbp around the peak marker (Build 37, MGI, http://informatics.jax.org).
Authors:
Berrettini WH, Ferraro TN, Alexander RC, Buchberg AM, Vogel WH
QTL for ethanol withdrawal on Chr1 at Xmv41 (190.14 Mbp , Build 37)
Description:
ethanol withdrawal spans 165.14 - 215.14 Mbp (NCBI Build 37) on Chr1. 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 withdrawal on Chr1 at D1Mit206 (191.91 Mbp , Build 37)
Description:
alcohol withdrawal spans 166.91 - 216.91 Mbp (NCBI Build 37) on Chr1. 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 ethanol induced locomotion on Chr1 at NA (200.10 Mbp , Build 37)
Description:
ethanol induced locomotion spans 175.10 - 225.10 Mbp (NCBI Build 37) on Chr1. 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
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
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
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