Worst Travis J, Vrana Kent E
Center for the Neurobehavioral Study of Alcohol, Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Alcohol Alcohol. 2005 Jan-Feb;40(1):63-75. doi: 10.1093/alcalc/agh119. Epub 2004 Nov 29.
To describe recent research focusing on the analysis of gene and protein expression relevant to understanding ethanol consumption, dependence and effects, in order to identify common themes.
A selective literature search was used to collate the relevant data.
Over 160 genes have been individually assessed before or after ethanol administration, as well as in genetically selected lines. Techniques for studying gene expression include northern blots, differential display, real time reverse transcriptase-polymerase chain reaction (RT-PCR) and in situ hybridization. More recently, high throughput functional genomic technology, such as DNA microarrays, has been used to examine gene expression. Recent gene expression analyses have dramatically increased the number of candidate genes (nine array papers have illuminated 600 novel gene transcripts that may contribute to alcohol abuse and alcoholism).
Although functional genomic experiments (transcriptome analysis) have failed to identify a single alcoholism gene, they have illuminated important pathways and gene products that may contribute to the risk of alcohol abuse and alcoholism.
描述近期聚焦于分析与理解乙醇摄入、依赖及效应相关的基因和蛋白质表达的研究,以确定共同主题。
采用选择性文献检索来整理相关数据。
超过160个基因已在乙醇给药前后以及基因选择品系中进行了单独评估。研究基因表达的技术包括Northern印迹、差异显示、实时逆转录聚合酶链反应(RT-PCR)和原位杂交。最近,高通量功能基因组技术,如DNA微阵列,已被用于检测基因表达。近期的基因表达分析显著增加了候选基因的数量(九篇阵列论文揭示了600个可能与酒精滥用和酒精中毒有关的新基因转录本)。
尽管功能基因组实验(转录组分析)未能鉴定出单个酒精中毒基因,但它们揭示了可能导致酒精滥用和酒精中毒风险的重要途径和基因产物。