Abstract
The HERCULES Exposome Research Center was first funded under the Environmental Health Sciences Core Center P30 Program by the National Institute of Environmental Health Sciences in 2013. The Core Center Program is designed to support infrastructure for research in environmental health. Emory took a unique approach and focused their proposal on the singular topic of the exposome. The idea was to build intellectual and physical infrastructure that would facilitate exposome research. Cores were developed to expand analytical capabilities in targeted and untargeted mass spectrometry and to provide support for data analysis. A major goal of HERCULES was to promote the exposome concept, which has been accomplished through a series of workshops, seminars, and courses. HERCULES has supported the development of new research centers that use the exposome approach and anticipates continued expansion of exposome research at the home institutions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dennis KK, Auerbach SS, Balshaw DM, Cui Y, Fallin MD, Smith MT, Spira A, Sumner S, Miller GW (2016) The importance of the biological impact of exposure to the concept of the exposome. Environ Health Perspect 124(10):1504–1510. https://doi.org/10.1289/ehp140
Dennis KK, Marder E, Balshaw DM, Cui Y, Lynes MA, Patti GJ, Rappaport SM, Shaughnessy DT, Vrijheid M, Barr DB (2017) Biomonitoring in the era of the exposome. Environ Health Perspect 125(4):502–510. https://doi.org/10.1289/ehp474
Go YM, Walker DI, Liang Y, Uppal K, Soltow QA, Tran V, Strobel F, Quyyumi AA, Ziegler TR, Pennell KD, Miller GW, Jones DP (2015) Reference standardization for mass spectrometry and high-resolution metabolomics applications to exposome research. Toxicol Sci 148(2):531–543. https://doi.org/10.1093/toxsci/kfv198
Jones DP (2016) Sequencing the exposome: a call to action. Toxicol Rep 3:29–45. https://doi.org/10.1016/j.toxrep.2015.11.009
Li S, Park Y, Duraisingham S, Strobel FH, Khan N, Soltow QA, Jones DP, Pulendran B (2013) Predicting network activity from high throughput metabolomics. PLoS Comput Biol 9(7):e1003123. https://doi.org/10.1371/journal.pcbi.1003123
Margolis R, Derr L, Dunn M, Huerta M, Larkin J, Sheehan J, Guyer M, Green ED (2014) The National Institutes of Health’s Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data. J Am Med Inform Assoc 21(6):957–958. https://doi.org/10.1136/amiajnl-2014-002974
Miller GW (2014) The exposome: a primer. Academic Press, Waltham, MA
Miller GW, Jones DP (2014) The nature of nurture: refining the definition of the exposome. Toxicol Sci 137(1):1–2. https://doi.org/10.1093/toxsci/kft251
Niedzwiecki MM, Miller GW (2017) The exposome paradigm in human health: lessons from the Emory Exposome Summer Course. Environ Health Perspect 125(6):064502. https://doi.org/10.1289/ehp1712
O’Fallon LR, Dearry A (2002) Community-based participatory research as a tool to advance environmental health sciences. Environ Health Perspect 110(Suppl 2):155–159
Sud M, Fahy E, Cotter D, Azam K, Vadivelu I, Burant C, Edison A, Fiehn O, Higashi R, Nair KS, Sumner S, Subramaniam S (2016) Metabolomics Workbench: an international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools. Nucleic Acids Res 44(Database issue):D463–D470. https://doi.org/10.1093/nar/gkv1042
Uppal K, Soltow QA, Strobel FH, Pittard WS, Gernert KM, Yu T, Jones DP (2013) xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data. BMC Bioinformatics 14(1):15. https://doi.org/10.1186/1471-2105-14-15
Uppal K, Walker DI, Jones DP (2017) xMSannotator: an R package for network-based annotation of high-resolution metabolomics data. Anal Chem 89(2):1063–1067. https://doi.org/10.1021/acs.analchem.6b01214
Wild CP (2005) Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomark Prev 14(8):1847–1850. https://doi.org/10.1158/1055-9965.epi-05-0456
Wild CP (2012) The exposome: from concept to utility. Int J Epidemiol 41(1):24–32. https://doi.org/10.1093/ije/dyr236
Yu T, Park Y, Johnson JM, Jones DP (2009) apLCMS—adaptive processing of high-resolution LC/MS data. Bioinformatics 25(15):1930–1936. https://doi.org/10.1093/bioinformatics/btp291
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Niedzwiecki, M.M., Miller, G.W. (2019). HERCULES: An Academic Center to Support Exposome Research. In: Dagnino, S., Macherone, A. (eds) Unraveling the Exposome. Springer, Cham. https://doi.org/10.1007/978-3-319-89321-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-89321-1_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-89320-4
Online ISBN: 978-3-319-89321-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)