2007
DOI: 10.1186/gb-2007-8-6-r128
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Morphine effects on striatal transcriptome in mice

Abstract: Morphine effects on mouse brains

Global transcriptional analysis of mouse striata following acute and chronic exposure to morphine reveals multiple physiological factors which may affect opioid-related phenotypes and implicates a number of gene networks, including glucocorticoid receptor regulated genes, in the response to this opioid.

Abstract Background: Chronic opiate use produces molecular and cellular adaptations in the nervous system that lead to tolerance, physical dependence, and addiction. Geno…
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Cited by 76 publications
(78 citation statements)
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“…Thus, our microarray analysis, in addition to confirm a number of transcriptional targets of morphine (Korostynski et al, 2007;McClung et al, 2005) and reveal novel ones, provided a short list of candidate genes to have a function in HDACimediated enhancement of non-homeostatic behavioral responses to morphine. Particularly remarkable is the case of circadian clock genes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, our microarray analysis, in addition to confirm a number of transcriptional targets of morphine (Korostynski et al, 2007;McClung et al, 2005) and reveal novel ones, provided a short list of candidate genes to have a function in HDACimediated enhancement of non-homeostatic behavioral responses to morphine. Particularly remarkable is the case of circadian clock genes.…”
Section: Discussionmentioning
confidence: 99%
“…Although circadian clock genes are appealing candidates for mediating the interaction between sodium butyrate and morphine, the transcriptional program activated by chronic morphine is broad (Korostynski et al, 2007;McClung et al, 2005) and its interaction with sodium butyrate complex ( Figure 5; Supplementary Figure S5). Besides circadian genes, our results show that morphine and sodium butyrate interact on the regulation of the expression of several other transcription factors that may lead to further transcriptional changes, such as fosB, the activity-regulated transcription factors Npas4 and Nr4al, and the transcriptional repressor Zbtb16 that positively regulates the ERK pathway and can potentially enhance drug effects.…”
Section: Discussionmentioning
confidence: 99%
“…GCs exert their effect primarily by binding to the GR, a transcription factor that interacts with genomic GR-responsive elements (GRE) and acts as a cofactor for other transcription factors. Further support of the role of GCs in mediating the biological effects of morphine can be found in studies indicating that disruption of GC signaling alters the long-term effects of morphine, such as the development of behavioral sensitization (Deroche et al, 1992), physical dependence (Korostynski et al, 2007) and reward learning (see Marinelli and Piazza, 2002;de Jong and de Kloet, 2004;Dong et al, 2006; for review). Several morphine-induced genes that belong to the GR-dependent cluster have been found to be astrocyte-specific, including Gjb6 and Sult1a1 (Cahoy et al, 2008;Piechota et al, 2010b).…”
Section: Introductionmentioning
confidence: 96%
“…This signal causes disinhibition of dopaminergic neurons activity and increases dopamine release in the dorsal and ventral striatum, brain regions that are crucial for the development of addiction, further leading to rearrangement of synaptic connections. Inducing structural plasticity of the neuronal network requires alterations of the transcriptional profile (Ammon-Treiber and Hollt, 2005;Rhodes and Crabbe, 2005;McClung and Nestler, 2008), and our previous studies suggest that some morphineinduced transcriptional effects in the striatum are mediated by glucocorticoid (GC) receptor (GR) activation (Korostynski et al, 2007;Piechota et al, 2010b). This response is most likely due to opioid-induced activation of the hypothalamus-pituitary-adrenal axis, which eventually leads to the release of GCs from the adrenal glands (Suemaru et al, 1986).…”
Section: Introductionmentioning
confidence: 99%
“…This research might provide a promising foundation for determining the effect of acute and chronic morphine treatment at the gene level. (Korostynski et al, 2007), which was obtained from Array Express. This publicly available microarray dataset was used to evaluate DEGs between 12 subjects who were acutely treated with morphine, 12 subjects who were chronically treated with morphine, and 12 normal control subjects.…”
Section: Introductionmentioning
confidence: 99%