Description
High-throughput transcriptomics (HTTr) data generated by US EPA Office of Research and Development, Center for Computational Toxicology and Exposure (CCTE), Biomolecular and Computational Toxicology Division. All data is generated using TempO-Seq targeted RNA-seq technology from in vitro cell culture systems.
Update Frequency
Quarterly
License
These datasets are products of the U.S. Government and are intended for public access and use. Unless otherwise specified, all data produced by the U.S EPA is, by default, in the public domain and are not subject to domestic copyright protection under 17 U.S.C. 105. More details on the U.S. Public Domain license are available here: http://www.usa.gov/publicdomain/label/1.0/
Documentation
https://www.epa.gov/chemical-research/high-throughput-profiling-using-transcriptomics-and-high-content-imaging
Managed By
U.S. Environmental Protection Agency (https://www.epa.gov)
See all datasets managed by U.S. Environmental Protection Agency (https://www.epa.gov).
Contact
everett.logan@epa.gov
How to Cite
U.S. Environmental Protection Agency (EPA) Center for Computational Toxicology and Exposure High Throughput Transcriptomics Data was accessed on DATE from https://registry.opendata.aws/epa-ccte-httr. U.S. EPA, 2024, "U.S. EPA CCTE High-throughput transcriptomics (HTTr) data 2021-2024"
Usage Examples
Tools & Applications
Publications
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Benchmark Dose Modeling Approaches for Volatile Organic Chemicals Using a Novel Air-Liquid Interface In Vitro Exposure System by Speen A., Murray J., Krantz Q., Davies D., Evansky P., Harrill J., et al
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Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example
by Nyffeler J., Willis C., Harris F., Taylor L., Judson R., Everett L., et al
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Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates by Harrill J., Everett L., Haggard D., Bundy J., Willis C., Shah I., et al
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High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes by Rogers J., Leusch F., Chambers B., Daniels K., Everett L., Judson R., et al
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High-Throughput Transcriptomics Platform for Screening Environmental Chemicals by Harrill J., Everett L., Haggard D., Sheffield T., Bundy J., Willis C., et al
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High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells by Bundy J., Everett L., Rogers J., Nyffeler J., Byrd G., Culbreth M., et al
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Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping by Harrill J., Everett L., Haggard D., Word L., Bundy J., Chambers B., et al
