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关于使用异种品系小鼠绘制与过量乙醇摄入相关的转录组图谱

On the Use of Heterogeneous Stock Mice to Map Transcriptomes Associated With Excessive Ethanol Consumption.

作者信息

Hitzemann Robert, Lockwood Denesa R, Ozburn Angela R, Phillips Tamara J

机构信息

Department of Behavioral Neuroscience and Portland Alcohol Research Center, Oregon Health & Science University, Portland, OR, United States.

Veterans Affairs Portland Health Care System, Portland, OR, United States.

出版信息

Front Psychiatry. 2021 Oct 12;12:725819. doi: 10.3389/fpsyt.2021.725819. eCollection 2021.

DOI:10.3389/fpsyt.2021.725819
PMID:34712155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8545898/
Abstract

We and many others have noted the advantages of using heterogeneous (HS) animals to map genes and gene networks associated with both behavioral and non-behavioral phenotypes. Importantly, genetically complex crosses provide substantially increased resolution to examine old and new relationships between gene expression and behavior. Here we report on data obtained from two HS populations: the HS/NPT derived from eight inbred laboratory mouse strains and the HS-CC derived from the eight collaborative cross inbred mouse strains that includes three wild-derived strains. Our work has focused on the genes and gene networks associated with risk for excessive ethanol consumption, individual variation in ethanol consumption and the consequences, including escalation, of long-term ethanol consumption. Background data on the development of HS mice is provided, including advantages for the detection of expression quantitative trait loci. Examples are also provided of using HS animals to probe the genes associated with ethanol preference and binge ethanol consumption.

摘要

我们以及其他许多人都注意到,使用异质(HS)动物来绘制与行为和非行为表型相关的基因及基因网络具有诸多优势。重要的是,遗传复杂的杂交能显著提高分辨率,以研究基因表达与行为之间新的和已有的关系。在此,我们报告从两个HS群体获得的数据:一个是源自八个近交系实验室小鼠品系的HS/NPT,另一个是源自八个协作杂交近交小鼠品系(包括三个野生衍生品系)的HS-CC。我们的工作聚焦于与过量饮酒风险、饮酒量的个体差异以及长期饮酒后果(包括饮酒量增加)相关的基因及基因网络。文中提供了HS小鼠发育的背景数据,包括检测表达数量性状位点的优势。还给出了利用HS动物探究与乙醇偏好和暴饮乙醇相关基因的实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/70547d2ae873/fpsyt-12-725819-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/fd2eb76beb5a/fpsyt-12-725819-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/b9ce71d1d8c2/fpsyt-12-725819-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/b48d031f0973/fpsyt-12-725819-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/87f3324f42f7/fpsyt-12-725819-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/70547d2ae873/fpsyt-12-725819-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/fd2eb76beb5a/fpsyt-12-725819-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/b9ce71d1d8c2/fpsyt-12-725819-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/b48d031f0973/fpsyt-12-725819-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/87f3324f42f7/fpsyt-12-725819-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/8545898/70547d2ae873/fpsyt-12-725819-g0005.jpg

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Neurosci Insights. 2021 Apr 16;16:26331055211009850. doi: 10.1177/26331055211009850. eCollection 2021.
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