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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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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
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author 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
author_facet 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
author_sort Kwon, Seok Joon
collection PubMed
description 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.
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spelling pubmed-41328442014-11-06 High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening 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 Nat Commun Article 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. 2014-05-06 /pmc/articles/PMC4132844/ /pubmed/24799042 http://dx.doi.org/10.1038/ncomms4739 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
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
High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening
title High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening
title_full High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening
title_fullStr High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening
title_full_unstemmed High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening
title_short High-Throughput and Combinatorial Gene Expression on a Chip for Metabolism-Induced Toxicology Screening
title_sort high-throughput and combinatorial gene expression on a chip for metabolism-induced toxicology screening
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132844/
https://www.ncbi.nlm.nih.gov/pubmed/24799042
http://dx.doi.org/10.1038/ncomms4739
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