The human toxome project.
The Human Toxome Project, funded as an NIH Transformative Research grant 2011-2016, is focused on developing the concepts and the means for deducing, validating and sharing molecular pathways of toxicity (PoT). Using the test case of estrogenic endocrine disruption, the responses of MCF-7 human breast cancer cells are being phenotyped by transcriptomics and mass-spectroscopy-based metabolomics. The bioinformatics tools for PoT deduction represent a core deliverable. A number of challenges for quality and standardization of cell systems, omics technologies and bioinformatics are being addressed. In parallel, concepts for annotation, validation and sharing of PoT information, as well as their link to adverse outcomes, are being developed. A reasonably comprehensive public database of PoT, the Human Toxome Knowledge-base, could become a point of reference for toxicological research and regulatory test strategies.
Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Baltimore, MD, USA.
Mounir
M
Bouhifd
The Hamner Institute, Research Triangle Park, NC, USA.
Melvin E
ME
Andersen
ASPPH Fellow, National Center for Computational Toxicology, US EPA, Research Triangle Park, NC, USA.
Christina
C
Baghdikian
Brown University, Pathology & Laboratory Medicine, Providence, RI, USA.
Kim
K
Boekelheide
US EPA, National Center for Computational Toxicology, Research Triangle Park, NC, USA.
Kevin M
KM
Crofton
Georgetown University Medical Center, Washington, DC, USA.
Albert J
AJ
Fornace
Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Baltimore, MD, USA.
Andre
A
Kleensang
Georgetown University Medical Center, Washington, DC, USA.
Henghong
H
Li
Agilent Inc., Santa Clara, CA, USA.
Carolina
C
Livi
Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Baltimore, MD, USA.
Alexandra
A
Maertens
The Hamner Institute, Research Triangle Park, NC, USA.
Patrick D
PD
McMullen
Agilent Inc., Santa Clara, CA, USA.
Michael
M
Rosenberg
US EPA, National Center for Computational Toxicology, Research Triangle Park, NC, USA.
Russell
R
Thomas
Brown University, Pathology & Laboratory Medicine, Providence, RI, USA.
Marguerite
M
Vantangoli
Johns Hopkins Bloomberg School of Public Health, Department of Environmental Health Sciences, Baltimore, MD, USA.
James D
JD
Yager
Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Baltimore, MD, USA.
Liang
L
Zhao
Johns Hopkins Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Baltimore, MD, USA.|University of Konstanz, Center for Alternatives to Animal Testing Europe, Konstanz, Germany.
Thomas
T
Hartung
D000826:Animal Testing Alternatives; D000818:Animals; D016208:Databases, Factual; D052244:Endocrine Disruptors; D006801:Humans; D055432:Metabolomics; D051379:Mice; D018675:Toxicity Tests / Q000379:methods; D014116:Toxicology / Q000379:methods*; D059467:Transcriptome
D052244:Endocrine Disruptors
alternative methods; metabolomics; regulatory toxicology; safety sciences; transcriptomics