Podtelezhnikov, Alexei A.; Monroe, James J.; Aslamkhan, Amy G.; Pearson, Kara; Qin, Chunhua; Tamburino, Alex M.; Loboda, Andrey P.; Glaab, Warren E.; Sistare, Frank D.; Tanis, Keith Q. published the artcile< Quantitative transcriptional biomarkers of xenobiotic receptor activation in rat liver for the early assessment of drug safety liabilities>, Product Details of C10H13ClN2O3S, the main research area is transcriptional biomarker xenobiotic receptor rat liver drug toxicity safety; biomarkers; gene expression/regulation; liver; methods; receptor; safety evaluation; systems; toxicogenomics; toxicology; transcription factors.
The robust transcriptional plasticity of liver mediated through xenobiotic receptors underlies its ability to respond rapidly and effectively to diverse chem. stressors. Thus, drug-induced gene expression changes in liver serve not only as biomarkers of liver injury, but also as mechanistic sentinels of adaptation in metabolism, detoxification, and tissue protection from chems. Modern RNA sequencing methods offer an unmatched opportunity to quant. monitor these processes in parallel and to contextualize the spectrum of dose-dependent stress, adaptation, protection, and injury responses induced in liver by drug treatments. Using this approach, we profiled the transcriptional changes in rat liver following daily oral administration of 120 different compounds, many of which are known to be associated with clin. risk for drug-induced liver injury by diverse mechanisms. Clustering, correlation, and linear modeling analyses were used to identify and optimize coexpressed gene signatures modulated by drug treatment. Here, we specifically focused on prioritizing 9 key signatures for their pragmatic utility for routine monitoring in initial rat tolerability studies just prior to entering drug development. These signatures are associated with 5 canonical xenobiotic nuclear receptors (AHR, CAR, PXR, PPARα, ER), 3 mediators of reactive metabolite-mediated stress responses (NRF2, NRF1, P53), and 1 liver response following activation of the innate immune response. Comparing paradigm chem. inducers of each receptor to the other compounds surveyed enabled us to identify sets of optimized gene expression panels and associated scoring algorithms proposed as quant. mechanistic biomarkers with high sensitivity, specificity, and quant. accuracy. These findings were further qualified using public datasets, Open TG-GATEs and DrugMatrix, and internal development compounds With broader collaboration and addnl. qualification, the quant. toxicogenomic framework described here could inform candidate selection prior to committing to drug development, as well as complement and provide a deeper understanding of the conventional toxicol. study endpoints used later in drug development.
Toxicological Sciences published new progress about Animal gene Role: BSU (Biological Study, Unclassified), BIOL (Biological Study) (CAR). 94-20-2 belongs to class amides-buliding-blocks, and the molecular formula is C10H13ClN2O3S, Product Details of C10H13ClN2O3S.
Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics