Table of Contents
Advances in Toxicology
Volume 2015, Article ID 575403, 14 pages
http://dx.doi.org/10.1155/2015/575403
Review Article

Systems Biology and Synthetic Biology: A New Epoch for Toxicology Research

1Faculty of Science and Engineering, University of Chester, Thornton Science Park, Chester CH2 4NU, UK
2Departments of Environmental Health Sciences, Epidemiology and Biostatistics, SUNY Albany, School of Public Health, One University Place, Rm 153, Rensselaer, NY 12144-3456, USA
3Faculty of Health and Social Care, Edge Hill University, St. Helens Road, Ormskirk, Lancashire L39 4QP, UK
4Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, NY 12208, USA
5Molecular Toxicology, Wadsworth Center, New York State Department of Health, Albany, NY 12201, USA

Received 1 August 2014; Accepted 21 December 2014

Academic Editor: Kanji Yamasaki

Copyright © 2015 Mark T. Mc Auley et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Mark Auley, Kathleen Mooney, Peter Angell, and Stephen Wilkinson, “Mathematical Modelling of Metabolic Regulation in Aging,” Metabolites, vol. 5, no. 2, pp. 232–251, 2015. View at Publisher · View at Google Scholar
  • Yi-Xiao Li, Yong-Gui Pan, Feng-Ping He, Meng-Qi Yuan, and Shang-Bin Li, “Pathway Analysis and Metabolites Identification by Metabolomics of Etiolation Substrate from Fresh-Cut Chinese Water Chestnut (Eleocharis tuberosa),” Molecules, vol. 21, no. 12, pp. 1648, 2016. View at Publisher · View at Google Scholar
  • Mark T. Mc Auley, Kathleen M. Mooney, and J. Enrique Salcedo-Sora, “Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing,” Briefings in Bioinformatics, pp. bbw116, 2016. View at Publisher · View at Google Scholar
  • Kathleen M. Mooney, Amy E. Morgan, and Mark T. Mc Auley, “Aging and computational systems biology,” Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 2016. View at Publisher · View at Google Scholar
  • Tanja Burgdorf, Sebastian Dunst, Norman Ertych, Verena Fetz, Norman Violet, Silvia Vogl, Gilbert Schönfelder, Franziska Schwarz, and Michael Oelgeschläger, “The AOP Concept: How Novel Technologies Can Support Development of Adverse Outcome Pathways,” Applied In Vitro Toxicology, vol. 3, no. 3, pp. 271–277, 2017. View at Publisher · View at Google Scholar
  • Mark Mc Auley, and Kathleen Mooney, “Using Computational Models to Study Aging,” Conn's Handbook of Models for Human Aging, pp. 79–91, 2018. View at Publisher · View at Google Scholar
  • Mark Tomás Mc Auley, “The Interplay Between Cholesterol Metabolism and Intrinsic Ageing,” Biochemistry and Cell Biology of Ageing: Part I Biomedical Science, vol. 90, pp. 99–118, 2019. View at Publisher · View at Google Scholar