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对暴露于金环境下的拟南芥进行微阵列分析,以鉴定参与金纳米颗粒(AuNPs)合成的潜在基因。

Microarray analysis of Arabidopsis under gold exposure to identify putative genes involved in the synthesis of gold nanoparticles (AuNPs).

作者信息

Shukla Devesh, Krishnamurthy Sneha, Sahi Shivendra V

机构信息

Department of Biology, Western Kentucky University, 1906 College Heights, Bowling Green, KY 42101-1080, USA.

出版信息

Genom Data. 2014 Dec 23;3:100-2. doi: 10.1016/j.gdata.2014.12.001. eCollection 2015 Mar.

DOI:10.1016/j.gdata.2014.12.001
PMID:26484157
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4536028/
Abstract

Very little is known about the genes responsible for Au uptake, reduction and detoxification in plants, which indeed essential to understand the complex trait of AuNP biosynthesis. We designed a targeted experiment to elucidate the response of plant at transcriptional level under Au exposure, and a microarray was performed on root tissue treated with AuCl4 (-) in the absence of nutrient media to record specific gene expression signature. Here, we describe the experimental procedures and data analysis in detail to reproduce the results (available at GEO database under GSE55436) published by Shukla et al. (2014) [1] in the Frontiers in Plant Sciences. The data produced from this study provide significant information of genes which may be used to enhance the AuNP biosynthesis.

摘要

关于植物中负责金吸收、还原和解毒的基因,我们了解甚少,而这些基因对于理解金纳米颗粒生物合成的复杂特性至关重要。我们设计了一项靶向实验,以阐明植物在金暴露下转录水平的反应,并在无营养培养基的情况下,对用四氯合金酸(-)处理的根组织进行微阵列分析,以记录特定的基因表达特征。在此,我们详细描述实验步骤和数据分析,以重现Shukla等人(2014年)[1]在《植物科学前沿》上发表的结果(可在GEO数据库中GSE55436下获取)。本研究产生的数据提供了有关可用于增强金纳米颗粒生物合成的基因的重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b54c/4536028/99783771b801/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b54c/4536028/01c9d8be92db/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b54c/4536028/99783771b801/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b54c/4536028/01c9d8be92db/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b54c/4536028/99783771b801/gr2.jpg

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本文引用的文献

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Plant Physiol Biochem. 2014 Nov;84:189-196. doi: 10.1016/j.plaphy.2014.09.013. Epub 2014 Sep 26.
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Using SCOPE to identify potential regulatory motifs in coregulated genes.
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J Vis Exp. 2011 May 31(51):2703. doi: 10.3791/2703.
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agriGO: a GO analysis toolkit for the agricultural community.agriGO:农业社区的 GO 分析工具包。
Nucleic Acids Res. 2010 Jul;38(Web Server issue):W64-70. doi: 10.1093/nar/gkq310. Epub 2010 Apr 30.