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暴露于简单化学混合物的虹鳟(Onchorynchus mykiss)的基因表达谱。

Gene expression profiles in rainbow trout, Onchorynchus mykiss, exposed to a simple chemical mixture.

作者信息

Hook Sharon E, Skillman Ann D, Gopalan Banu, Small Jack A, Schultz Irvin R

机构信息

Battelle, Marine Research Operations, West Sequim Bay Road, Sequim, Washington 98382, USA.

出版信息

Toxicol Sci. 2008 Mar;102(1):42-60. doi: 10.1093/toxsci/kfm293. Epub 2007 Dec 15.

Abstract

Among proposed uses for microarrays in environmental toxiciology is the identification of key contributors to toxicity within a mixture. However, it remains uncertain whether the transcriptomic profiles resulting from exposure to a mixture have patterns of altered gene expression that contain identifiable contributions from each toxicant component. We exposed isogenic rainbow trout Onchorynchus mykiss, to sublethal levels of ethynylestradiol, 2,2,4,4-tetrabromodiphenyl ether, and chromium VI or to a mixture of all three toxicants Fluorescently labeled complementary DNA (cDNA) were generated and hybridized against a commercially available Salmonid array spotted with 16,000 cDNAs. Data were analyzed using analysis of variance (p<0.05) with a Benjamani-Hochberg multiple test correction (Genespring [Agilent] software package) to identify up and downregulated genes. Gene clustering patterns that can be used as "expression signatures" were determined using hierarchical cluster analysis. The gene ontology terms associated with significantly altered genes were also used to identify functional groups that were associated with toxicant exposure. Cross-ontological analytics approach was used to assign functional annotations to genes with "unknown" function. Our analysis indicates that transcriptomic profiles resulting from the mixture exposure resemble those of the individual contaminant exposures, but are not a simple additive list. However, patterns of altered genes representative of each component of the mixture are clearly discernible, and the functional classes of genes altered represent the individual components of the mixture. These findings indicate that the use of microarrays to identify transcriptomic profiles may aid in the identification of key stressors within a chemical mixture, ultimately improving environmental assessment.

摘要

在环境毒理学中,微阵列的潜在用途之一是识别混合物中毒性的关键促成因素。然而,暴露于混合物所产生的转录组谱是否具有基因表达改变的模式,其中包含每种有毒成分的可识别贡献,仍不确定。我们将同基因虹鳟鱼(Onchorynchus mykiss)暴露于亚致死水平的乙炔雌二醇、2,2,4,4 - 四溴二苯醚和六价铬,或这三种有毒物质的混合物中。生成了荧光标记的互补DNA(cDNA),并与点有16,000个cDNA的市售鲑鱼阵列进行杂交。使用方差分析(p<0.05)和Benjamani - Hochberg多重检验校正(Genespring [安捷伦]软件包)对数据进行分析,以识别上调和下调的基因。使用层次聚类分析确定可作为“表达特征”的基因聚类模式。与显著改变的基因相关的基因本体术语也用于识别与毒物暴露相关的功能组。采用跨本体分析方法为功能“未知”的基因分配功能注释。我们的分析表明,混合物暴露所产生的转录组谱与单个污染物暴露的谱相似,但不是简单的累加列表。然而,混合物各成分代表性的基因改变模式清晰可辨,且改变的基因功能类别代表了混合物的各个成分。这些发现表明,使用微阵列识别转录组谱可能有助于识别化学混合物中的关键应激源,最终改善环境评估。

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