
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Expression Profiling of Neural Cells Reveals Specific Patterns of Ethanol-Responsive Gene Expression

pmid: 11093800
Adaptive changes in gene expression are thought to contribute to dependence, addiction and other behavioral responses to chronic ethanol abuse. DNA array studies provide a nonbiased detection of networks of gene expression changes, allowing insight into functional consequences and mechanisms of such molecular responses. We used oligonucleotide arrays to study nearly 6000 genes in human SH-SY5Y neuroblastoma cells exposed to chronic ethanol. A set of 42 genes had consistently increased or decreased mRNA abundance after 3 days of ethanol treatment. Groups of genes related to norepinephrine production, glutathione metabolism, and protection against apoptosis were identified. Genes involved in catecholamine metabolism are of special interest because of the role of this pathway in mediating ethanol withdrawal symptoms (physical dependence). Ethanol treatment elevated dopamine beta-hydroxylase (DBH, EC 1.14.17.1) mRNA and protein levels and increased releasable norepinephrine in SH-SY5Y cultures. Acute ethanol also increased DBH mRNA levels in mouse adrenal gland, suggesting in vivo functional consequences for ethanol regulation of DBH. In SH-SY5Y cells, ethanol also decreased mRNA and secreted protein levels for monocyte chemotactic protein 1, an effect that could contribute to the protective role of moderate ethanol consumption in atherosclerotic vascular disease. Finally, we identified a subset of genes similarly regulated by both ethanol and dibutyryl-cAMP treatment in SH-SY5Y cells. This suggests that ethanol and cAMP signaling share mechanistic features in regulating a subset of ethanol-responsive genes. Our findings offer new insights regarding possible molecular mechanisms underlying behavioral responses or medical consequences of ethanol consumption and alcoholism.
- University of Strasbourg France
- Thermo Fisher Scientific (Israel) Israel
- University of Strasbourg France
- University of California System United States
- University of California, San Francisco United States
Neurons, Norepinephrine Plasma Membrane Transport Proteins, Ethanol, Symporters, Gene Expression Profiling, Intracellular Signaling Peptides and Proteins, Central Nervous System Depressants, Membrane Proteins, Dopamine beta-Hydroxylase, Monocyte Chemoattractant Proteins, Mice, Bucladesine, Gene Expression Regulation, Mice, Inbred DBA, Tumor Cells, Cultured, Animals, Humans, Drug Interactions, Female, Carrier Proteins
Neurons, Norepinephrine Plasma Membrane Transport Proteins, Ethanol, Symporters, Gene Expression Profiling, Intracellular Signaling Peptides and Proteins, Central Nervous System Depressants, Membrane Proteins, Dopamine beta-Hydroxylase, Monocyte Chemoattractant Proteins, Mice, Bucladesine, Gene Expression Regulation, Mice, Inbred DBA, Tumor Cells, Cultured, Animals, Humans, Drug Interactions, Female, Carrier Proteins
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).116 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
