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通过基因集分析研究遗传毒性致癌物和非遗传毒性致癌物的不同机制。

Investigating the different mechanisms of genotoxic and non-genotoxic carcinogens by a gene set analysis.

作者信息

Lee Won Jun, Kim Sang Cheol, Lee Seul Ji, Lee Jeongmi, Park Jeong Hill, Yu Kyung-Sang, Lim Johan, Kwon Sung Won

机构信息

College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea.

Samsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea.

出版信息

PLoS One. 2014 Jan 31;9(1):e86700. doi: 10.1371/journal.pone.0086700. eCollection 2014.

Abstract

Based on the process of carcinogenesis, carcinogens are classified as either genotoxic or non-genotoxic. In contrast to non-genotoxic carcinogens, many genotoxic carcinogens have been reported to cause tumor in carcinogenic bioassays in animals. Thus evaluating the genotoxicity potential of chemicals is important to discriminate genotoxic from non-genotoxic carcinogens for health care and pharmaceutical industry safety. Additionally, investigating the difference between the mechanisms of genotoxic and non-genotoxic carcinogens could provide the foundation for a mechanism-based classification for unknown compounds. In this study, we investigated the gene expression of HepG2 cells treated with genotoxic or non-genotoxic carcinogens and compared their mechanisms of action. To enhance our understanding of the differences in the mechanisms of genotoxic and non-genotoxic carcinogens, we implemented a gene set analysis using 12 compounds for the training set (12, 24, 48 h) and validated significant gene sets using 22 compounds for the test set (24, 48 h). For a direct biological translation, we conducted a gene set analysis using Globaltest and selected significant gene sets. To validate the results, training and test compounds were predicted by the significant gene sets using a prediction analysis for microarrays (PAM). Finally, we obtained 6 gene sets, including sets enriched for genes involved in the adherens junction, bladder cancer, p53 signaling pathway, pathways in cancer, peroxisome and RNA degradation. Among the 6 gene sets, the bladder cancer and p53 signaling pathway sets were significant at 12, 24 and 48 h. We also found that the DDB2, RRM2B and GADD45A, genes related to the repair and damage prevention of DNA, were consistently up-regulated for genotoxic carcinogens. Our results suggest that a gene set analysis could provide a robust tool in the investigation of the different mechanisms of genotoxic and non-genotoxic carcinogens and construct a more detailed understanding of the perturbation of significant pathways.

摘要

根据致癌作用的过程,致癌物可分为遗传毒性致癌物和非遗传毒性致癌物。与非遗传毒性致癌物不同,许多遗传毒性致癌物在动物致癌生物测定中已被报道可引发肿瘤。因此,评估化学品的遗传毒性潜力对于区分遗传毒性致癌物和非遗传毒性致癌物以保障医疗保健和制药行业安全至关重要。此外,研究遗传毒性致癌物和非遗传毒性致癌物作用机制之间的差异可为未知化合物基于机制的分类提供基础。在本研究中,我们研究了用遗传毒性或非遗传毒性致癌物处理的HepG2细胞的基因表达,并比较了它们的作用机制。为了加深我们对遗传毒性和非遗传毒性致癌物作用机制差异的理解,我们使用12种化合物作为训练集(12、24、48小时)进行了基因集分析,并使用22种化合物作为测试集(24、48小时)验证了显著基因集。为了进行直接的生物学转化,我们使用Globaltest进行了基因集分析并选择了显著基因集。为了验证结果,使用微阵列预测分析(PAM)通过显著基因集对训练和测试化合物进行预测。最后,我们获得了6个基因集,包括富含参与黏着连接、膀胱癌、p53信号通路、癌症通路、过氧化物酶体和RNA降解的基因的基因集。在这6个基因集中,膀胱癌和p53信号通路基因集在12、24和48小时时具有显著性。我们还发现,与DNA修复和损伤预防相关的基因DDB2、RRM2B和GADD45A在遗传毒性致癌物处理后持续上调。我们的结果表明,基因集分析可为研究遗传毒性和非遗传毒性致癌物的不同机制提供有力工具,并能更详细地了解重要通路的扰动情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68ed/3908933/de0edd1f1013/pone.0086700.g001.jpg

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