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基因表达分析揭示了化学物质特异性谱。

Gene expression analysis reveals chemical-specific profiles.

作者信息

Hamadeh Hisham K, Bushel Pierre R, Jayadev Supriya, Martin Karla, DiSorbo Olimpia, Sieber Stella, Bennett Lee, Tennant Raymond, Stoll Raymond, Barrett J Carl, Blanchard Kerry, Paules Richard S, Afshari Cynthia A

机构信息

National Institute of Environmental Health Sciences, P.O. Box 12233, MD2-04, Research Triangle Park, NC 27709, USA.

出版信息

Toxicol Sci. 2002 Jun;67(2):219-31. doi: 10.1093/toxsci/67.2.219.

Abstract

The application of gene expression profiling technology to examine multiple genes and signaling pathways simultaneously promises a significant advance in understanding toxic mechanisms to ultimately aid in protection of public health. Public and private efforts in the new field of toxicogenomics are focused on populating databases with gene expression profiles of compounds where toxicological and pathological endpoints are well characterized. The validity and utility of a toxicogenomics is dependent on whether gene expression profiles that correspond to different chemicals can be distinguished. The principal hypothesis underlying a toxicogenomic or pharmacogenomic strategy is that chemical-specific patterns of altered gene expression will be revealed using high-density microarray analysis of tissues from exposed organisms. Analyses of these patterns should allow classification of toxicants and provide important mechanistic insights. This report provides a verification of this hypothesis. Patterns of gene expression corresponding to liver tissue derived from chemically exposed rats revealed similarity in gene expression profiles between animals treated with different agents from a common class of compounds, peroxisome proliferators [clofibrate (ethyl-p-chlorophenoxyisobutyrate), Wyeth 14,643 ([4-chloro-6(2,3-xylidino)-2-pyrimidinylthio]acetic acid), and gemfibrozil (5-2[2,5-dimethylphenoxy]2-2-dimethylpentanoic acid)], but a very distinct gene expression profile was produced using a compound from another class, enzyme inducers (phenobarbital).

摘要

基因表达谱技术能够同时检测多个基因和信号通路,有望在理解毒性机制方面取得重大进展,最终有助于保护公众健康。在毒理基因组学这一新领域,公共和私人机构都致力于建立化合物基因表达谱数据库,这些化合物的毒理学和病理学终点都有详细的特征描述。毒理基因组学的有效性和实用性取决于是否能够区分与不同化学物质相对应的基因表达谱。毒理基因组学或药物基因组学策略的主要假设是,通过对暴露生物体组织进行高密度微阵列分析,将揭示基因表达改变的化学物质特异性模式。对这些模式的分析应能对毒物进行分类,并提供重要的机制性见解。本报告对这一假设进行了验证。与化学物质暴露大鼠肝脏组织相对应的基因表达模式显示,用同一类化合物过氧化物酶体增殖剂(氯贝丁酯(乙基 - 对氯苯氧异丁酸酯)、惠氏14,643([4 - 氯 - 6(2,3 - 二甲基苯胺基)-2 - 嘧啶基硫代]乙酸)和吉非贝齐(5 - 2[2,5 - 二甲基苯氧基]2 - 2 - 二甲基戊酸))中不同试剂处理的动物之间,基因表达谱具有相似性,但使用另一类化合物酶诱导剂(苯巴比妥)则产生了非常不同的基因表达谱。

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