2018
DOI: 10.1016/j.microc.2017.01.029
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The use of omics-based approaches in regulatory toxicology: an alternative approach to assess the no observed transcriptional effect level

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Cited by 8 publications
(6 citation statements)
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“…A conservative approach is taken by groups that focus on the "No-Transcriptional-Effect-Level" (NOTEL), threshold at which no effect on the transcriptome is observed (Pisani et al 2015;Quercioli et al 2018;Zarbl et al 2010). As to be expected, the derived NOTELs were considerably lower than the "No-Observed-Adverse-Effect-Levels" (NOAELs).…”
Section: Risk Assessmentmentioning
confidence: 99%
“…A conservative approach is taken by groups that focus on the "No-Transcriptional-Effect-Level" (NOTEL), threshold at which no effect on the transcriptome is observed (Pisani et al 2015;Quercioli et al 2018;Zarbl et al 2010). As to be expected, the derived NOTELs were considerably lower than the "No-Observed-Adverse-Effect-Levels" (NOAELs).…”
Section: Risk Assessmentmentioning
confidence: 99%
“…Transformics is able to describe the entire process, anchoring the molecular machinery to the oncotransformation biological endpoint and as such can be regarded as a useful tool in the integrated testing strategy for carcinogenesis chemical hazard assessment. Gene modulation data can be used to calculate thresholds for events at the molecular level ( 54 ). In this context, transformics has the potential to improve the knowledge of dose–response relationships including providing the biological understanding to underpin statistical methods of analyzing dose–response data, such the benchmark dose approach, promoted by national and international Governmental organizations ( 55–57 ).…”
Section: Discussionmentioning
confidence: 99%
“…Molecular tools have been proposed as a sensitive approach capable of detecting organism-level effects very early on, with potential predictive power in determining a future deterioration of a populations fitness 6 9 . The advent of functional genomics technologies provides powerful tools that can be used to identify more complex molecular signatures that are predictive of toxicity 10 17 .…”
Section: Introductionmentioning
confidence: 99%