Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping.

ABSTRACT: High-throughput transcriptomics (HTTr) uses gene expression profiling to characterize the biological activity of chemicals in in vitro cell-based test systems. As an extension of a previous study testing 44 chemicals, HTTr was used to screen an additional 1,751 unique chemicals from the EPA's ToxCast collection in MCF7 cells using 8 concentrations and an exposure duration of 6 h. We hypothesized that concentration-response modeling of signature scores could be used to identify putative molecular targets and cluster chemicals with similar bioactivity. Clustering and enrichment analyses were conducted based on signature catalog annotations and ToxPrint chemotypes to facilitate molecular target prediction and grouping of chemicals with similar bioactivity profiles. Enrichment analysis based o

SUBMITTER: Harrill JA 

PROVIDER: S-EPMC12261139 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature