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Texas A&M University: Dataset Details, ID=GSE186121

Superfund Research Program

Data Science Core

Project Leader: Stratos Pistikopoulos
Co-Investigator: Fred A. Wright (North Carolina State University)
Grant Number: P42ES027704
Funding Period: 2017-2022

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Title: Grouping of UVCB Substances with Dose-Response Transcriptomics Data from Human Cell-Based Assays

Accession Number: GSE186121

Link to Dataset: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE186121

Repository: Gene Expression Omnibus (GEO)

Data Type(s): Gene Expression

Experiment Type(s): Expression profiling by high throughput sequencing

Organism(s): Homo sapiens

Summary: Six human cell lines were treated in a log dose response to 141 petroleum substance extracts containing unknown or variable composition, complex reaction products and biological materials (UVCBs) to be used for grouping and read across strategies. The six cell lines consisted of human induced pluripotent stem cell (iPSC)-derived hepatocytes, cardiomyocytes, neurons, and endothelial cells, as well as the human MCF7 and A375 cell lines. All transcriptomics were targeted with BioSpyder S1500+ gene list.

Publication(s) associated with this dataset:
  • House JS, Dalzell A, Kuchi S, Zhang S, Lenz K, Boogard PJ, Ketelslegers HB, Gant TW, Rusyn I, Wright FA, Grimm FA, Klaren WD. 2022. Grouping of UVCB substances with dose-response transcriptomics data from human cell-based assays. ALTEX doi:10.14573/altex.2107051 PMID:35288757
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