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Overview on genetic toxicology TGs
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ISBN: 9789264274761 Year: 2017 Publisher: Paris : Organisation for Economic Co-operation and Development,

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Following a general update of the Genetic Toxicology TGs in 2015, the present Document was written to provide succinct and useful information to individuals unfamiliar with genetic toxicology testing, as well as experienced individuals wishing to obtain an overview of the recent changes that were made to the TGs during the recent round of revisions. It provides: 1) general background and historical information on the OECD genetic toxicology TGs; 2) a brief overview of the important types of genetic damage evaluated by these tests; 3) a description of the retained TGs; and 4) the issues and changes addressed therein during the revision process.

Principles of genetic toxicology
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ISBN: 0306425327 Year: 1980 Publisher: New York : Plenum Press,

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Test No. 479: Genetic Toxicology: In vitro Sister Chromatid Exchange Assay in Mammalian Cells
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ISBN: 9789264071384 Year: 1986 Publisher: Paris : OECD Publishing,

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Following the OECD Council decision, the Test Guideline 479 ‘Genetic Toxicology: In vitro Sister Chromatid Exchange Assay in Mammalian Cells’ was deleted on 2nd April 2014.


Book
Essai n° 484: Toxicologie génétique: Spot test chez la souris
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ISBN: 9789264071490 Year: 1986 Publisher: Paris : OECD Publishing,

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Suite à la décision du Conseil de l’OCDE, l’essai 484 "Toxicologie Génétique : Spot Test chez la Souris" a été supprimé le 2 avril 2014.


Book
Test No. 481: Genetic Toxicology: Saacharomyces cerevisiae, Miotic Recombination Assay
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ISBN: 9789264071421 Year: 1986 Publisher: Paris : OECD Publishing,

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Following the OECD Council decision, the Test Guideline 481 ‘Genetic Toxicology: Saacharomyces cerevisiae, Miotic Recombination Assay’ was deleted on 2nd April 2014.


Book
Carcinogenesis
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ISBN: 9535170759 9535109456 Year: 2013 Publisher: IntechOpen

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Carcinogenesis covers molecular, biochemical and cellular processes that underpin this field. The complex nature of cancer means that a broad understanding of these processes is advantageous when designing novel preventative, therapeutic or diagnostic strategies. This book commences with chapters discussing cancer predisposition and pre-cancerous lesions. Factors that initiate or progress cancer development, including viral, hormonal, oncogenic and biochemical stimuli are then described, as are interactions with the cancer extracellular environment. Animal models are particularly useful for evaluating therapeutic or chemopreventive agents and examples are presented. Finally, natural products that ether prevent or treat cancer are described. Together these topics will provide the reader with examples of the latest cutting edge research and discoveries, with the goal of stimulating further advances.


Periodical
EHP toxicogenomics : journal of the National Institute of Environmental Health Sciences.
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ISSN: 15424367 Year: 2003 Publisher: Research Triangle Park, N.C. : U.S. Dept. of Health & Human Services, Public Health Service, National Institutes of Health, National Institute of Environmental Health Sciences,


Periodical
Mutation research.
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ISSN: 18787088 Year: 1973 Publisher: [Amsterdam : Elsevier Scientific Pub. Co.]

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Periodical
Mutation research.
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ISSN: 18729347 Year: 1975 Publisher: Amsterdam, the Netherlands : Elsevier,

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An introduction to toxicogenomics
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ISBN: 0849313341 Year: 2003 Publisher: Boca Raton, FL : CRC Press,

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Gathering together leading authors and scientists at the forefront of the field, An Introduction to Toxicogenomics provides a comprehensive overview of this new subdiscipline. With a focus on toxicology, it introduces the overall concept underlying microarray/oligonucleotide array-based genomic analysis and how it fits into the field of biomedical research. These discussions provide an overview to the actual mechanics of the analyses themselves and offer insights on handling and quality control. An important feature is the book's focus on the basics of data analysis and clustering methods, such as genetic algorithms, used for analyzing large-scale datasets derived from gene chip expression data.

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