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High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening

Differential expression of various drug-metabolizing enzymes in the human liver may cause deviations of pharmacokinetic profiles, resulting in inter-individual variability of drug toxicity and/or efficacy. Here we present the “Transfected Enzyme and Metabolism Chip” (TeamChip), which predicts potent...

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Detalles Bibliográficos
Autores principales: Kwon, Seok Joon, Lee, Dong Woo, Shah, Dhiral A., Ku, Bosung, Jeon, Sang Youl, Solanki, Kusum, Ryan, Jessica D., Clark, Douglas S., Dordick, Jonathan S., Lee, Moo-Yeal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132844/
https://www.ncbi.nlm.nih.gov/pubmed/24799042
http://dx.doi.org/10.1038/ncomms4739
Descripción
Sumario:Differential expression of various drug-metabolizing enzymes in the human liver may cause deviations of pharmacokinetic profiles, resulting in inter-individual variability of drug toxicity and/or efficacy. Here we present the “Transfected Enzyme and Metabolism Chip” (TeamChip), which predicts potential metabolism-induced drug or drug-candidate toxicity. The TeamChip is prepared by delivering genes into miniaturized three-dimensional cellular microarrays on a micropillar chip using recombinant adenoviruses in a complementary microwell chip. The device enables users to manipulate the expression of individual and multiple human metabolizing-enzyme genes (such as CYP3A4, CYP2D6, CYP2C9, CYP1A2, CYP2E1, and UGT1A4) in THLE-2 cell microarrays. To identify specific enzymes involved in drug detoxification, we created 84 combinations of metabolic-gene expressions in a combinatorial fashion on a single microarray. Thus, the TeamChip platform can provide critical information necessary for evaluating metabolism-induced toxicity in a high-throughput manner.