• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

毒理基因组学研究十年及其对毒理学科学的贡献。

A decade of toxicogenomic research and its contribution to toxicological science.

机构信息

Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas 72079, USA.

出版信息

Toxicol Sci. 2012 Dec;130(2):217-28. doi: 10.1093/toxsci/kfs223. Epub 2012 Jul 12.

DOI:10.1093/toxsci/kfs223
PMID:22790972
Abstract

Toxicogenomics enjoyed considerable attention as a ground-breaking addition to conventional toxicology assays at its inception. However, the pace at which toxicogenomics was expected to perform has been tempered in recent years. Next to cost, the lack of advanced knowledge discovery and data mining tools significantly hampered progress in this new field of toxicological sciences. Recently, two of the largest toxicogenomics databases were made freely available to the public. These comprehensive studies are expected to stimulate knowledge discovery and development of novel data mining tools, which are essential to advance this field. In this review, we provide a concise summary of each of these two databases with a brief discussion on the commonalities and differences between them. We place our emphasis on some key questions in toxicogenomics and how these questions can be appropriately addressed with the two databases. Finally, we provide a perspective on the future direction of toxicogenomics and how new technologies such as RNA-Seq may impact this field.

摘要

毒理基因组学在其诞生之初作为常规毒理学检测的突破性补充而受到相当关注。然而,近年来毒理基因组学的预期进展速度已经放缓。除了成本之外,缺乏先进的知识发现和数据挖掘工具也极大地阻碍了毒理学科学这一新领域的发展。最近,两个最大的毒理基因组学数据库向公众免费开放。这些全面的研究有望促进知识发现和新型数据挖掘工具的开发,这对于推动这一领域的发展至关重要。在这篇综述中,我们简要总结了这两个数据库中的每一个,并简要讨论了它们之间的异同。我们重点介绍了毒理基因组学中的一些关键问题,以及如何使用这两个数据库来恰当地解决这些问题。最后,我们对毒理基因组学的未来发展方向以及 RNA-Seq 等新技术如何影响这一领域提供了一个视角。

相似文献

1
A decade of toxicogenomic research and its contribution to toxicological science.毒理基因组学研究十年及其对毒理学科学的贡献。
Toxicol Sci. 2012 Dec;130(2):217-28. doi: 10.1093/toxsci/kfs223. Epub 2012 Jul 12.
2
The state-of-the-art in predictive toxicogenomics.预测毒理基因组学的最新进展。
Curr Opin Drug Discov Devel. 2006 Jan;9(1):84-91.
3
Toxicogenomics for the prediction of toxicity related to herbs from traditional Chinese medicine.毒理基因组学在预测与中药相关的毒性方面的应用。
Planta Med. 2010 Dec;76(17):2019-25. doi: 10.1055/s-0030-1250432. Epub 2010 Oct 18.
4
The Japanese toxicogenomics project: application of toxicogenomics.日本毒理基因组学计划:毒理基因组学的应用。
Mol Nutr Food Res. 2010 Feb;54(2):218-27. doi: 10.1002/mnfr.200900169.
5
Toxicogenomics and systems toxicology: aims and prospects.毒理基因组学与系统毒理学:目标与展望
Nat Rev Genet. 2004 Dec;5(12):936-48. doi: 10.1038/nrg1493.
6
Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic acid on rat kidneys.比较二代测序和微阵列技术在马兜铃酸对大鼠肾脏毒性研究中的应用。
Chem Res Toxicol. 2011 Sep 19;24(9):1486-93. doi: 10.1021/tx200103b. Epub 2011 Aug 23.
7
LTMap: a web server for assessing the potential liver toxicity by genome-wide transcriptional expression data.LTMap:一个通过全基因组转录表达数据评估潜在肝脏毒性的网络服务器。
J Appl Toxicol. 2014 Jul;34(7):805-9. doi: 10.1002/jat.2923. Epub 2013 Sep 11.
8
Toxicogenomics concepts and applications to study hepatic effects of food additives and chemicals.毒理基因组学的概念及其在研究食品添加剂和化学品对肝脏影响方面的应用。
Toxicol Appl Pharmacol. 2005 Sep 1;207(2 Suppl):179-88. doi: 10.1016/j.taap.2005.01.050.
9
Toxicogenomics in biomarker discovery.生物标志物发现中的毒理基因组学。
Methods Mol Biol. 2008;460:185-94. doi: 10.1007/978-1-60327-048-9_9.
10
A review of toxicogenomic approaches in developmental toxicology.发育毒理学中毒理基因组学方法综述。
Methods Mol Biol. 2012;889:347-71. doi: 10.1007/978-1-61779-867-2_22.

引用本文的文献

1
An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinol.用于浓度反应转录组学研究的微阵列与RNA测序的最新比较:大麻二酚和大麻酚两种大麻素的案例研究
BMC Genomics. 2025 Apr 23;26(1):392. doi: 10.1186/s12864-025-11548-3.
2
Comprehensive insights into mechanism of nanotoxicity, assessment methods and regulatory challenges of nanomedicines.对纳米毒性机制、纳米药物评估方法及监管挑战的全面洞察。
Discov Nano. 2024 Oct 4;19(1):165. doi: 10.1186/s11671-024-04118-1.
3
Identifying Universal Fish Biomarker Genes in Response to PCB126 Exposure by Comparative Transcriptomic Analyses.
通过比较转录组分析鉴定鱼类对多氯联苯126暴露的通用生物标志物基因
Curr Issues Mol Biol. 2024 Jul 23;46(8):7862-7876. doi: 10.3390/cimb46080466.
4
Toxicogenomics Approaches to Address Toxicity and Carcinogenicity in the Liver.毒理基因组学方法在肝脏毒性和致癌性研究中的应用
Toxicol Pathol. 2023 Oct;51(7-8):470-481. doi: 10.1177/01926233241227942. Epub 2024 Jan 30.
5
The response of LncRNAs associated with photosynthesis-and pigment synthesis-related genes to green light in Chlamydomonas reinhardtii.莱茵衣藻中与光合作用和色素合成相关基因相关的长链非编码 RNA 对绿光的响应。
Photosynth Res. 2024 Aug;161(1-2):65-78. doi: 10.1007/s11120-023-01062-6. Epub 2023 Dec 18.
6
The Effect of Historical Data-Based Informative Prior on Benchmark Dose Estimation of Toxicogenomics.基于历史数据的信息先验对毒理基因组学基准剂量估计的影响。
Chem Res Toxicol. 2023 Aug 21;36(8):1345-1354. doi: 10.1021/acs.chemrestox.3c00088. Epub 2023 Jul 26.
7
A tiered testing strategy based on in vitro phenotypic and transcriptomic data for selecting representative petroleum UVCBs for toxicity evaluation in vivo.基于体外表型和转录组数据的分层测试策略,用于选择具有代表性的石油 UVCB 进行体内毒性评估。
Toxicol Sci. 2023 May 31;193(2):219-233. doi: 10.1093/toxsci/kfad041.
8
RNA-Seq Analysis of Transcriptome Reveals the High Potential of ZnO Nanoparticles as a Nanofungicide.转录组的RNA测序分析揭示了氧化锌纳米颗粒作为纳米杀菌剂的巨大潜力。
Front Plant Sci. 2022 Jun 10;13:896283. doi: 10.3389/fpls.2022.896283. eCollection 2022.
9
Continuous ZnO nanoparticle exposure induces melanoma-like skin lesions in epidermal barrier dysfunction model mice through anti-apoptotic effects mediated by the oxidative stress-activated NF-κB pathway.连续暴露于 ZnO 纳米颗粒通过氧化应激激活的 NF-κB 通路介导的抗细胞凋亡作用诱导表皮屏障功能障碍模型小鼠产生黑色素瘤样皮肤损伤。
J Nanobiotechnology. 2022 Mar 5;20(1):111. doi: 10.1186/s12951-022-01308-w.
10
Transcriptome Analysis Reveals the AhR, Smad2/3, and HIF-1α Pathways as the Mechanism of Ochratoxin A Toxicity in Kidney Cells.转录组分析揭示芳烃受体、Smad2/3和缺氧诱导因子-1α信号通路是赭曲霉毒素A对肾细胞毒性作用的机制。
Toxins (Basel). 2021 Mar 6;13(3):190. doi: 10.3390/toxins13030190.