Leedale, J. orcid.org/0000-0001-9010-4126, Sharkey, K.J., Colley, H.E. orcid.org/0000-0003-0053-7468 et al. (7 more authors) (2018) A Combined In Vitro/In Silico Approach to Identifying Off-Target Receptor Toxicity. iScience, 4. pp. 84-96. ISSN 2589-0042
Abstract
Many xenobiotics can bind to off-target receptors and cause toxicity via the dysregulation of downstream transcription factors. Identification of subsequent off-target toxicity in these chemicals has often required extensive chemical testing in animal models. An alternative, integrated in vitro/in silico approach for predicting toxic off-target functional responses is presented to refine in vitro receptor identification and reduce the burden on in vivo testing. As part of the methodology, mathematical modeling is used to mechanistically describe processes that regulate transcriptional activity following receptor-ligand binding informed by transcription factor signaling assays. Critical reactions in the signaling cascade are identified to highlight potential perturbation points in the biochemical network that can guide and optimize additional in vitro testing. A physiologically based pharmacokinetic model provides information on the timing and localization of different levels of receptor activation informing whole-body toxic potential resulting from off-target binding.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Toxicology; Computational Toxicology; Systems Biology |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Clinical Dentistry (Sheffield) |
Funding Information: | Funder Grant number NATIONAL CENTRE FOR THE REPLACEMENT, REFINEMENT AND REDUCTION OF ANIMALS IN RESEARCH UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 06 Jul 2018 14:02 |
Last Modified: | 01 May 2020 23:18 |
Published Version: | https://doi.org/10.1016/j.isci.2018.05.012 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.isci.2018.05.012 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:132608 |