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Chemical-Gene and Chemical-Pathway Interactions Predicted for Chemicals Detected in the USGS-USEPA National Streams Pilot Study Based on Effects Data in the Comparative Toxicogenomics Database (CTD)

Dates

Publication Date
Start Date
2012
End Date
2014

Citation

Romanok, K.M., Bradley, P.M., and Berninger, J.P., 2019, Chemical-Gene and Chemical-Pathway Interactions Predicted for Chemicals Detected in the USGS-USEPA National Streams Pilot Study Based on Effects Data in the Comparative Toxicogenomics Database (CTD): U.S. Geological Survey data release, https://doi.org/10.5066/P9A6C39B.

Summary

Data from study assessing the utility of knowledgebase-leveraging of comprehensive environmental-contaminant-exposure datasets by comparing biological effects predicted on the basis of target chemical analyses with measured biological effects in corresponding split water samples.

Contacts

Attached Files

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CMEE_Table1_Mutagenicity.txt 5.67 KB
CMEE_Table2_Summary.txt 10 KB
CMEE_Table3a_DetectedOrganics.txt 66.71 KB
CMEE_Table3b_RelativeDetectedOrganics.txt 51.29 KB
CMEE_Table4_pCGA_counts.txt 2.17 MB
CMEE_Table5a_pCGA_concentrations.txt 4.04 MB
CMEE_Table5b_pCGA_RelativeConcentrations.txt 4.02 MB
CMEE_Table6_pPLA_counts.txt 227.86 KB
CMEE_Table7a_pPLA_concentrations.txt 402.67 KB
CMEE_Table7b_pPLA_relative_concentrations.txt 392.44 KB
CMEE_Table8_BioassayComparison_Data.txt 47.31 KB
CMEE_Table9_BioassayOverall_correlation_summary.txt 3.12 KB
CMEE_Table10_BioassayIndChem_correlation_summary.txt 26.51 KB
CMEE_2019_metadata.xml
Original FGDC Metadata

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73.48 KB

Purpose

The U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (EPA) assessed 719 unique organic analytes in surface water split samples from 38 United States (US) stream sites representing a national gradient in watershed urban/agricultural development. To complement the chemical analysis of these water samples, organic extracts of the samples were evaluated for in vitro estrogen (ER), androgen (AR), and glucocorticoid (GR) activity and for mutagenicity in the Salmonella (Ames) assay. The predictive utility of knowledgebase-leveraging of comprehensive environmental-contaminant-exposure datasets was assessed using exposure-effects relations identified in the Comparative Toxicogenomincs Database (CTD) to computationally predict chemical-gene/protein associations and analogous chemical-pathway associations for direct comparison with observed ER-, AR-, and GR-activity and mutagenicity results for corresponding split water samples.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9A6C39B

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