Genome-Scale Characterization of Toxicity-Induced Metabolic Alterations in Primary Hepatocytes
Abstract
Context-specific Genome-scale Metabolic Network Reconstructions (GENREs) provide a 1 means to understand cellular metabolism at a deeper level of physiological detail. Here, 2 we use transcriptomics data from chemically exposed rat hepatocytes to constrain a 3 GENRE of rat hepatocyte metabolism and predict biomarkers of liver toxicity using the 4 Transcriptionally Inferred Metabolic Biomarker Response (TIMBR) algorithm. We profiled 5 alterations in cellular hepatocyte metabolism following in vitro exposure to four toxicants 6 (acetaminophen, carbon tetrachloride, 2,3,7,8-tetrachlorodibenzodioxin, and 7 trichloroethylene) for six hours. TIMBR predictions were compared with paired fresh and 8 spent media metabolomics data from the same exposure conditions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 10, 2019
- Accession Number
- AD1089853
Entities
People
- Anders Wallqvist
- Bonnie V. Dougherty
- Edik M. Blais
- Glynis L Kolling
- Jason A. Papin
- Kalyan C. Vinnakota
- Kristopher D Rawls
- Venkat R. Pannala