High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes

Dataset for Rogers, et al., 'High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes', published in Environmental Science & Technology, doi https://doi.org/10.1021/acs.est.3c07525. Contains 7 files HTTr analysis of water extracts_SI_v3: Supplemental information with detailed descriptions of cell culture, exposure to water extracts, cell viability assays, HTTr assay, and HTTr data processing, and Figures S1–S4 detailing cell viability results, HTTr quality control results, signature-level potency magnitude comparisons, and gene/signature activity of laboratory blanks (PDF) Table S1: well-level cell viability metrics for water extracts (XLSX) Table S2: treatment-level cell viability metrics for water extracts (XLSX) Table S3: well-level HTTr quality control metrics for water extracts (XLSX) Table S4: signature collection used for HTTr signature concentration–response modeling (XLSX) Table S5: signature concentration-modeling profiling results for water extracts (XLSX) Table S6: gene concentration-modeling profiling results for water extracts (XLSX). This dataset is associated with the following publication: Rogers, J., F. Leusch, B. Chambers, K. Daniels, L. Everett, R. Judson, K. Maruya, A. Mehinto, P. Neale, K. Friedman, R. Thomas, S. Snyder, and J. Harrill. High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(4): 2027-2037, (2024).

                                            [
  "020:00"
]
                                        

                                            {
  "fn": "Joshua Harrill",
  "hasEmail": "mailto:harrill.joshua@epa.gov"
}
                                        

                                            [
  {
    "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65c5075ae4b063812d6939f9",
    "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65c5075ae4b063812d6939f9"
  }
]
                                        

                                            [
  "MCF7",
  "Recycled Water",
  "Water Cycle",
  "differentially expressed genes",
  "high throughput transcriptomics",
  "water quality"
]
                                        

                                            [
  "020:000"
]
                                        

                                            {
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}
                                        

                                            [
  "https://doi.org/10.1021/acs.est.3c07525"
]
                                        

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