Division of Virulence Assessment, Food and Drug Administration, Laurel, Maryland, United States of America.
PLoS One. 2013 Jul 24;8(7):e66431. doi: 10.1371/journal.pone.0066431. Print 2013.
Arsenic, a known human carcinogen, is widely distributed around the world and found in particularly high concentrations in certain regions including Southwestern US, Eastern Europe, India, China, Taiwan and Mexico. Chronic arsenic poisoning affects millions of people worldwide and is associated with increased risk of many diseases including arthrosclerosis, diabetes and cancer. In this study, we explored genome level global responses to high and low levels of arsenic exposure in Caenorhabditis elegans using Affymetrix expression microarrays. This experimental design allows us to do microarray analysis of dose-response relationships of global gene expression patterns. High dose (0.03%) exposure caused stronger global gene expression changes in comparison with low dose (0.003%) exposure, suggesting a positive dose-response correlation. Biological processes such as oxidative stress, and iron metabolism, which were previously reported to be involved in arsenic toxicity studies using cultured cells, experimental animals, and humans, were found to be affected in C. elegans. We performed genome-wide gene expression comparisons between our microarray data and publicly available C. elegans microarray datasets of cadmium, and sediment exposure samples of German rivers Rhine and Elbe. Bioinformatics analysis of arsenic-responsive regulatory networks were done using FastMEDUSA program. FastMEDUSA analysis identified cancer-related genes, particularly genes associated with leukemia, such as dnj-11, which encodes a protein orthologous to the mammalian ZRF1/MIDA1/MPP11/DNAJC2 family of ribosome-associated molecular chaperones. We analyzed the protective functions of several of the identified genes using RNAi. Our study indicates that C. elegans could be a substitute model to study the mechanism of metal toxicity using high-throughput expression data and bioinformatics tools such as FastMEDUSA.
砷是一种已知的人类致癌物,广泛分布于世界各地,在某些地区,如美国西南部、东欧、印度、中国、中国台湾和墨西哥,其浓度特别高。全球有数百万人受到慢性砷中毒的影响,并且与许多疾病的风险增加有关,包括动脉硬化、糖尿病和癌症。在这项研究中,我们使用 Affymetrix 表达微阵列探索了秀丽隐杆线虫中高、低砷暴露水平下的全基因组水平的全局反应。这种实验设计允许我们对全基因表达模式的剂量反应关系进行微阵列分析。与低剂量(0.003%)暴露相比,高剂量(0.03%)暴露引起更强的全局基因表达变化,表明存在正剂量反应相关性。氧化应激和铁代谢等生物学过程,先前在使用培养细胞、实验动物和人类进行的砷毒性研究中被报道与之相关,在秀丽隐杆线虫中也被发现受到影响。我们将我们的微阵列数据与可公开获得的秀丽隐杆线虫镉微阵列数据集以及德国莱茵河和易北河沉积物暴露样本的微阵列数据进行了全基因组基因表达比较。使用 FastMEDUSA 程序对砷反应性调节网络进行了基因组范围的基因表达比较。FastMEDUSA 分析确定了与癌症相关的基因,特别是与白血病相关的基因,如 dnj-11,其编码与哺乳动物 ZRF1/MIDA1/MPP11/DNAJC2 家族核糖体相关分子伴侣同源的蛋白质。我们使用 RNAi 分析了几种鉴定基因的保护功能。我们的研究表明,秀丽隐杆线虫可以成为一种替代模型,用于使用高通量表达数据和 FastMEDUSA 等生物信息学工具研究金属毒性的机制。