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dc.contributor.authorMc Auley, Mark T.*
dc.contributor.authorChoi, Hyunok*
dc.contributor.authorMooney, Kathleen M.*
dc.contributor.authorPaul, Emily*
dc.contributor.authorMiller, Veronica M.*
dc.date.accessioned2015-02-25T11:59:41Z
dc.date.available2015-02-25T11:59:41Z
dc.date.issued2015-01-26
dc.identifier.citationMc Auley, M. T., Choi, H., Mooney, K., Paul, E., & Miller, V. M. (2015). Systems biology and synthetic biology: A new epoch for toxicology research. Advances in Toxicology, 2015.en
dc.identifier.issn2356-6906en
dc.identifier.doi10.1155/2015/575403
dc.identifier.urihttp://hdl.handle.net/10034/345299
dc.descriptionCopyright © 2015 Mark T. Mc Auley et al. This is an open access article distributed under the Creative Commons Attribution License 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.description.abstractSystems biology and synthetic biology are emerging disciplines which are becoming increasingly utilised in several areas of bioscience. Toxicology is beginning to benefit from systems biology and we suggest in the future that is will also benefit from synthetic biology. Thus, a new era is on the horizon. This review illustrates how a suite of innovative techniques and tools can be applied to understanding complex health and toxicology issues. We review limitations confronted by the traditional computational approaches to toxicology and epidemiology research, using polycyclic aromatic hydrocarbons (PAHs) and their effects on adverse birth outcomes as an illustrative example. We introduce how systems toxicology (and their subdisciplines, genomic, proteomic, and metabolomic toxicology) will help to overcome such limitations. In particular, we discuss the advantages and disadvantages of mathematical frameworks that computationally represent biological systems. Finally, we discuss the nascent discipline of synthetic biology and highlight relevant toxicological centred applications of this technique, including improvements in personalised medicine. We conclude this review by presenting a number of opportunities and challenges that could shape the future of these rapidly evolving disciplines.
dc.description.sponsorshipVeronica M. Miller would like to acknowledge funding from Alexander and Bo McInnis and the Autism Research Institute for her toxicological studies and support.en
dc.language.isoenen
dc.publisherHindawi Publishing Corporationen
dc.relation.urlhttp://www.hindawi.com/journals/atox/en
dc.relation.urlhttp://www.hindawi.com/journals/atox/2015/575403/en
dc.subjectsystems biologyen
dc.subjectsynthetic biologyen
dc.titleSystems biology and synthetic biology: A new epoch for toxicology researchen
dc.typeArticleen
dc.contributor.departmentUniversity of Chester ; SUNY Albany ; Edge Hill University ; New York State Department of Health ; New York State Department of Healthen
dc.identifier.journalAdvances in Toxicology
rioxxterms.versionofrecordhttps://doi.org/10.1155/2015/575403
refterms.dateFOA2018-08-13T18:22:11Z
html.description.abstractSystems biology and synthetic biology are emerging disciplines which are becoming increasingly utilised in several areas of bioscience. Toxicology is beginning to benefit from systems biology and we suggest in the future that is will also benefit from synthetic biology. Thus, a new era is on the horizon. This review illustrates how a suite of innovative techniques and tools can be applied to understanding complex health and toxicology issues. We review limitations confronted by the traditional computational approaches to toxicology and epidemiology research, using polycyclic aromatic hydrocarbons (PAHs) and their effects on adverse birth outcomes as an illustrative example. We introduce how systems toxicology (and their subdisciplines, genomic, proteomic, and metabolomic toxicology) will help to overcome such limitations. In particular, we discuss the advantages and disadvantages of mathematical frameworks that computationally represent biological systems. Finally, we discuss the nascent discipline of synthetic biology and highlight relevant toxicological centred applications of this technique, including improvements in personalised medicine. We conclude this review by presenting a number of opportunities and challenges that could shape the future of these rapidly evolving disciplines.
rioxxterms.publicationdate2015-01-26
dc.dateAccepted2014-12-21
dc.date.deposited2015-02-25


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