Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System
Whole transcriptomics dose response data is collected and storedthrough public facing Gene Expression Omnibus database.
Raw collected viability/cytotoxicity data for each chemical are collected and presented on separate spreadsheets. Portions of this dataset are inaccessible because: The transcriptomics full data file is too large to be uploaded alone onto ScienceHub, impeding ease of access. They can be accessed through the following means: Raw and processed transcriptomics data is available through Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) under accession GSE199794. Format: The full transcriptomics data set for all chemical conditions tested.
This dataset is associated with the following publication:
Speen, A., J. Murray, T. Krantz, D. Davies, P. Evansky, J. Harrill, L. Everett, J. Bundy, L. Dailey, W. Zander, E. Carlsten, M. Monsees, J. Hill, J. Zavala, and M. Higuchi. Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 188(1): 88-107, (2022).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Mark Higuchi",
"hasEmail": "mailto:higuchi.mark@epa.gov"
}
|
| description | Whole transcriptomics dose response data is collected and storedthrough public facing Gene Expression Omnibus database. Raw collected viability/cytotoxicity data for each chemical are collected and presented on separate spreadsheets. Portions of this dataset are inaccessible because: The transcriptomics full data file is too large to be uploaded alone onto ScienceHub, impeding ease of access. They can be accessed through the following means: Raw and processed transcriptomics data is available through Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) under accession GSE199794. Format: The full transcriptomics data set for all chemical conditions tested. This dataset is associated with the following publication: Speen, A., J. Murray, T. Krantz, D. Davies, P. Evansky, J. Harrill, L. Everett, J. Bundy, L. Dailey, W. Zander, E. Carlsten, M. Monsees, J. Hill, J. Zavala, and M. Higuchi. Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 188(1): 88-107, (2022). |
| distribution |
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"title": "Trichloroethylene Sample ID and Exposure Conditions.xlsx",
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|
| identifier | https://doi.org/10.23719/1524251 |
| keyword |
[
"Volatile organic compound (VOC)",
"airway epithelial cells",
"transcriptomics"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2021-11-16 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
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}
}
|
| references |
[
"https://doi.org/10.1093/toxsci/kfac040"
]
|
| rights |
null
|
| title | Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System |