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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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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. |
format | Online Article Text |
id | pubmed-4132844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
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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