Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia
Data for "Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia". Portions of this dataset are inaccessible because: In excess of 1 GB. They can be accessed through the following means: https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=62fbba81e4b055edffc45a37&page=0. Format: Hundreds of documents, including Excel, PPT, PNG, and other formats.
This dataset is associated with the following publication:
Chao, A., J. Grossman, C. Carberry, Y. Lai, A. Williams, J. Minucci, S. Purucker, J. Szilagyi, K. Lu, K. Boggess, R. Fry, J. Sobus, and J. Rager. Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 167: 107385, (2022).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Alex Chao",
"hasEmail": "mailto:chao.alex@epa.gov"
}
|
| description | Data for "Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia". Portions of this dataset are inaccessible because: In excess of 1 GB. They can be accessed through the following means: https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=62fbba81e4b055edffc45a37&page=0. Format: Hundreds of documents, including Excel, PPT, PNG, and other formats. This dataset is associated with the following publication: Chao, A., J. Grossman, C. Carberry, Y. Lai, A. Williams, J. Minucci, S. Purucker, J. Szilagyi, K. Lu, K. Boggess, R. Fry, J. Sobus, and J. Rager. Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 167: 107385, (2022). |
| distribution |
[
{
"title": "1-s2.0-S0160412022003129-mmc1.docx",
"mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527845/1-s2.0-S0160412022003129-mmc1.docx"
},
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"title": "1-s2.0-S0160412022003129-mmc2.xlsx",
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|
| identifier | https://doi.org/10.23719/1527845 |
| keyword |
[
"Placenta",
"exposomics",
"multi-omics",
"non-targeted analysis",
"preeclampsia"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2022-06-30 |
| 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/10.1016/j.envint.2022.107385"
]
|
| rights |
null
|
| title | Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia |
