2014
DOI: 10.1021/tx400410s
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Systems Toxicology: From Basic Research to Risk Assessment

Abstract: Systems Toxicology is the integration of classical toxicology with quantitative analysis of large networks of molecular and functional changes occurring across multiple levels of biological organization. Society demands increasingly close scrutiny of the potential health risks associated with exposure to chemicals present in our everyday life, leading to an increasing need for more predictive and accurate risk-assessment approaches. Developing such approaches requires a detailed mechanistic understanding of th… Show more

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Cited by 300 publications
(224 citation statements)
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“…Multidisciplinary perspectives and techniques, for example from genetics, physiology, and ecology, have yielded a robust understanding of toxicological outcomes and mechanisms across levels of biological organization, from molecular processes to population‐level and community‐level consequences (Peterson et al., 2003; Sturla et al., 2014; Whitehead, Pilcher, Champlin, & Nacci, 2012). Indeed, efforts aimed at understanding how molecular impacts of contaminants shape ecological outcomes have become a recent focus of ecotoxicology (e.g., “adverse outcome pathways,” Ankley et al., 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Multidisciplinary perspectives and techniques, for example from genetics, physiology, and ecology, have yielded a robust understanding of toxicological outcomes and mechanisms across levels of biological organization, from molecular processes to population‐level and community‐level consequences (Peterson et al., 2003; Sturla et al., 2014; Whitehead, Pilcher, Champlin, & Nacci, 2012). Indeed, efforts aimed at understanding how molecular impacts of contaminants shape ecological outcomes have become a recent focus of ecotoxicology (e.g., “adverse outcome pathways,” Ankley et al., 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Considering databases, the large repositories of clinical cancer data, including genomics analyses of tumours and bioinformatics tools, provide templates for what is also increasingly explored in the toxicological sciences [24]. Biomarker discovery in cancer uses data patterns for prediction of patient cancer prognosis, responsiveness to therapy or cancer proneness; it has its counterpart in toxicology where the aim is to understand the mass/number of genes which make up 'the toxome' (genes and pathways causatively involved in toxicity effects) or which have application for modelling how specific toxicity effects can be predicted with subsets of the toxome [10,11,13,[25][26][27]. Thus, for transforming and modernizing toxicology, the usefulness of considering following in the footsteps of the extensive thrust of output generated in other sciences, and especially cancer research, is likely extensive.…”
Section: Parallels Between Cancer Biology Toxicology and Alternativementioning
confidence: 99%
“…Typically, the gene expression profiling analysis of stage 3 would serve to determine broad toxicology-relevant bioidentities of 'the selected few' group. Such work includes the exploration or verification of novel or known pathways of toxicity, MoA mechanisms and in a broader sense, adverse outcome pathways (AOP) [2,4,5,[11][12][13]31,32]. Expanded testing regimes might naturally apply a wider range of cell types and assays, including the consideration of low-dose effects and application of differentiated, metabolically competent cell models [6,7,19,33,34].…”
Section: From Hts Of Many Agents To Genomic Profiling Analysis Of Thementioning
confidence: 99%
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