Mining toxicogenomic data for dose-responsive pathways: implications in advancing next-generation risk assessment.

ABSTRACT: Introduction: While targeted investigation of key toxicity pathways has been instrumental for biomarker discovery, unbiased and holistic analysis of transcriptomic data provides a complementary systems-level perspective. However, in a systematic context, this approach has yet to receive comprehensive and methodical implementation. Methods: Here, we took an integrated bioinformatic approach by re-analyzing publicly available MCF7 cell TempO-seq data for 44 ToxCast chemicals using an alternative pipeline to demonstrate the power of this approach. The original study has focused on analyzing the gene signature approach and comparing them to in vitro biological pathway altering concentrations determined from ToxCast HTS assays. Our workflow, in comparison, involves sequenti

SUBMITTER: Barutcu AR 

PROVIDER: S-EPMC10691261 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature