The Human Toxome Project
Open accessAbstract
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.
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The study used MCF-7 cells from the same ATCC lot (lot number 59388743, passage 147) in two laboratories with strict adherence to standards for validation, including standard operating protocols, formal training, transfer, and Good Cell Culture Practice recommendations.
“As part of our “Mapping the Human Toxome” project, two laboratories (Brown University [BU] and Johns Hopkins University [JHU]) used MCF-7 cells from the same ATCC lot (lot number 59388743, passage 147) combined with strict adherence to standards for validation (standard operations protocols, formal training, and transfer) for cell culture and analytic methods14 including the recommendations for Go”
From Genetic variability in a frozen batch of MCF-7 cells invisible in routine authentication affecting cell function (2016) · cites this paper as [14]
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Kleensang, A., Vantangoli, M. M., Odwin-DaCosta, S., Andersen, M. E., Boekelheide, K., Bouhifd, M., Fornace, A. J., Li, H.-H., Livi, C. B., Madnick, S., et al. (2016) · Scientific Reports · doi:10.1038/srep28994 · Cited by 111 · see citing works
Self-citation
- Authors
- Bouhifd, M.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Bouhifd, Mounir
- Venue
- ALTEX
- Publisher
- ALTEX Edition
- Published
- 2015
- Volume
- 32
- Issue
- 2
- Pages
- 112-124
- ISSN
- 0946-7785 (ISSN-L)
- 1868-596X
- PMC
- PMC4778566
- OpenAlex
- W2165340299
- Cited by
- 69
- References
- 107
- Citations by year
- 2026: 4 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 7 · 2018: 6 · 2017: 10 · 2016: 21 · 2015: 5
- FWCI
- 8.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- ALTEX (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by)
- KOPS (University of Konstanz) (submittedVersion, cc-by)
- Funders
- National Institutes of Health
- U.S. Food and Drug Administration (U01 FD004230)
- National Institute of Environmental Health Sciences (R01ES020750, T32ES007272)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Effects and risks of endocrine disrupting chemicals
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Carcinogens and Genotoxicity Assessment
- Keywords
- MCF-7 cells, transcriptomics, metabolomics, bioinformatics software, toxicology, toxicology databases
- MeSH terms
- Animals, Animal Testing Alternatives, Humans, Toxicology, Databases, Factual, Toxicity Tests, Mice, Endocrine Disruptors, Metabolomics, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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