| Chapter title |
Advanced Approaches to Model Xenobiotic Metabolism in Bacterial Genotoxicology In Vitro
|
|---|---|
| Chapter number | 4 |
| Book title |
In vitro Environmental Toxicology - Concepts, Application and Assessment
|
| Published in |
Advances in biochemical engineering biotechnology, January 2016
|
| DOI | 10.1007/10_2016_4 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-945906-6, 978-3-31-945908-0
|
| Authors |
Yoshimitsu Oda |
| Editors |
Georg Reifferscheid, Sebastian Buchinger |
| Abstract |
During the past 30 years there has been considerable progress in the development of bacterial test systems for use in genotoxicity testing by the stable introduction of expression vectors (cDNAs) coding for xenobiotic-metabolizing enzymes into bacterial cells. The development not only provides insights into the mechanisms of bioactivation of xenobiotic compounds but also evaluates the roles of enzymes involved in metabolic activation or inactivation in chemical carcinogenesis. This review describes recent advances in bacterial genotoxicity assays and their future prospects, with a focus on the development and application of genetically engineering bacterial cells to incorporate some of the enzymatic activities involved in the bio-activation process of xenobiotics. Various genes have been introduced into bacterial umu tester strains encoding enzymes for genotoxic bioactivation, including bacterial nitroreductase and O-acetyltransferase, human cytochrome P450 monooxygenases, rat glutathione S-transferases, and human N-acetyltransferases and sulfotransferases. Their application has provided new tools for genotoxicity assays and for studying the role of biotransformation in chemical carcinogenesis in humans. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 17% |
| Lecturer | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Master | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 2 | 33% |