Systems biology approaches to interpreting genomic data

IF 3.6 Q1 TOXICOLOGY Current Opinion in Toxicology Pub Date : 2019-12-01 DOI:10.1016/j.cotox.2019.02.004
Twan van den Beucken
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引用次数: 3

Abstract

Technological developments in genome-wide analysis have accelerated the generation of large, complex data sets characterizing human biology at the molecular level. Integration of data from different molecular levels holds great promise for gaining understanding of complex biological systems. Toxicogenomics aims to obtain a comprehensive mechanistic map of cellular processes that drive adverse outcomes. Such an integrated approach relies on combining various genome-wide profiles (DNA, RNA, protein, and metabolite) and linking these to functional endpoints to allow the identification of relevant biological pathways. Here, current strategies for generating multiomic data within the domain of toxicogenomics are highlighted, and current strategies for multiomic data integration are discussed.

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解释基因组数据的系统生物学方法
全基因组分析的技术发展加速了在分子水平上表征人类生物学的大型、复杂数据集的产生。整合来自不同分子水平的数据对于理解复杂的生物系统大有希望。毒物基因组学旨在获得驱动不良结果的细胞过程的综合机制图。这种综合方法依赖于结合各种全基因组图谱(DNA、RNA、蛋白质和代谢物),并将它们与功能端点连接起来,从而识别相关的生物学途径。在这里,毒物基因组学领域内生成多组数据的当前策略被强调,并讨论了多组数据集成的当前策略。
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来源期刊
Current Opinion in Toxicology
Current Opinion in Toxicology Pharmacology, Toxicology and Pharmaceutics-Toxicology
CiteScore
10.40
自引率
0.00%
发文量
43
期刊介绍: The aims and scope of Current Opinion in Toxicology is to systematically provide the reader with timely and provocative views and opinions of the highest qualified and recognized experts on current advances in selected topics within the field of toxicology. The goal is that Current Opinion in Toxicology will be an invaluable source of information and perspective for researchers, teachers, managers and administrators, policy makers and students. Division of the subject into sections: For this purpose, the scope of Toxicology is divided into six selected high impact themed sections, each of which is reviewed once a year: Mechanistic Toxicology, Metabolic Toxicology, Risk assessment in Toxicology, Genomic Toxicology, Systems Toxicology, Translational Toxicology.
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