Dataset for 'Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping'
Dataset for Harrill, J.A. et al., 'Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping' published in Toxicological Sciences, https://doi.org/10.1093/toxsci/kfae108
This dataset contains gene expression profiles and gene signature concentration-response modeling results for 1751 unique chemicals. The chemicals were tested in MCF7 cells using an exposure duration of six hours. The datasets also contains the results of molecular target enrichment and chemotype enrichment analyses performed downstream of the gene signature concentration-response modeling.
Descriptions of each data file can be found in the supplementary material of the published article that is hosted by the journal.
This dataset is associated with the following publication:
Harrill, J., L. Everett, D. Haggard, L. Word, J. Bundy, B. Chambers, D. Harris, C. Willis, R. Thomas, I. Shah, and R. Judson. Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 202(1): 103-122, (2024).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Joshua Harrill",
"hasEmail": "mailto:harrill.joshua@epa.gov"
}
|
| description | Dataset for Harrill, J.A. et al., 'Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping' published in Toxicological Sciences, https://doi.org/10.1093/toxsci/kfae108 This dataset contains gene expression profiles and gene signature concentration-response modeling results for 1751 unique chemicals. The chemicals were tested in MCF7 cells using an exposure duration of six hours. The datasets also contains the results of molecular target enrichment and chemotype enrichment analyses performed downstream of the gene signature concentration-response modeling. Descriptions of each data file can be found in the supplementary material of the published article that is hosted by the journal. This dataset is associated with the following publication: Harrill, J., L. Everett, D. Haggard, L. Word, J. Bundy, B. Chambers, D. Harris, C. Willis, R. Thomas, I. Shah, and R. Judson. Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 202(1): 103-122, (2024). |
| distribution |
[
{
"title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64ef8bc8e4b00be554658bbb&page=0",
"accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64ef8bc8e4b00be554658bbb&page=0"
}
]
|
| identifier | https://doi.org/10.23719/1531711 |
| keyword |
[
"Mechanism of Action",
"ToxCast",
"computational toxicology",
"high throughput transcriptomics"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2024-07-09 |
| 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"
}
}
}
|
| references |
[
"https://doi.org/10.1093/toxsci/kfae108"
]
|
| rights |
null
|
| title | Dataset for 'Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping' |
