Design of a microsphere-based high-throughput gene expression assay to determine estrogenic potential

被引:19
作者
Naciff, JM
Richardson, BD
Oliver, KG
Jump, ML
Torontali, SM
Juhlin, KD
Carr, GJ
Paine, JR
Tiesman, JA
Daston, GP
机构
[1] Procter & Gamble Co, Miami Valley Innovat Ctr, Cincinnati, OH 45253 USA
[2] Radix BioSolut, Georgetown, TX USA
关键词
endocrine disruptor; estrogen-regulated gene expression; fluorescently coded microspheres; high-throughput gene expression assay; multiplex;
D O I
10.1289/ehp.7843
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recently gene expression studies have been multiplied at an accelerated rate by the use of high-density microarrays. By assaying thousands of transcripts at a time, microarrays have led to the discovery of dozens of genes involved in particular biochemical processes, for example, the response of a tissue/organ to a given chemical with therapeutic or toxic properties. The next step in these studies is to focus on the response of a subset of relevant genes to verify or refine potential therapeutic or toxic properties. We have developed a sensitive, high-throughput gene expression assay for this purpose. In this assay, based on the Luminex xMAP system, carefully selected oligonucleotides were covalently linked to fluorescently coded microspheres that are hybridized to biotinylated cRNA followed by amplification of the signal, which results in a rapid, sensitive, multiplexed assay platform. Using this system, we have developed an RNA expression profiling assay specific for 17 estrogen-responsive transcripts and three controls. This assay can evaluate up to 100 distinct analytes simultaneously in a single sample, in a 96-well plate format. This system has improved sensitivity versus existing microsphere-based assays and has sensitivity and precision comparable with or better than microarray technology. We have achieved detection levels down to 1 amol, detecting rare messages in complex cRNA samples, using as little as 2.5 mu g starting cRNA. This assay offers increased throughput with decreased costs compared with existing microarray technologies, with the trade-off being in the total number of transcripts that can be analyzed.
引用
收藏
页码:1164 / 1171
页数:8
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