Putting the fun into functional toxicogenomics

Toxicological Sciences

Volumn 92, Issue 2, 2006, Pages 347-348

  Cunningham, Michael L ^a  

^a NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; GENE PRODUCT;

ARTICLE; BIOINFORMATICS; DNA REPAIR; FUNCTIONAL GENOMICS; GENE EXPRESSION; GENE FUNCTION; GENETIC DATABASE; GENOMICS; HUMAN; MICROARRAY ANALYSIS; RISK ASSESSMENT; TOXICOGENETICS; TOXICOLOGY;

GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RISK ASSESSMENT; TOXICOGENETICS;

EID: 33745770399     PISSN: 10966080     EISSN: 10960929     Source Type: Journal    
DOI: 10.1093/toxsci/kfl027     Document Type: Article

References (9)

1. Bammler, T., Beyer, R. P., Bhattacharya, S., Boorman, G., Boyles, A., Bradford, B., Bumgarner, R., Bushel, P. R., Chaturvedi, K., Choi, D., et al. (2005). Standardizing global gene expression analysis between laboratories and across platforms. Nat. Methods 2, 351-356.
2. Currie, R. A., Bombail, V., Oliver, J. D., Moore, D. J., Lim, F. L., Gwilliam, V., Kimber, I., Chipman, K., Moogs, J. G., and Orphanides, G. (2005). Gene ontology mapping as an unbiased method for identifying molecular pathways and processes affected by toxicant exposure: Application to acute effects caused by the rodent non-genotoxic carcinogen diethylhexylphtalate. Toxicol. Sci. 86, 453-469.
3. Hayes, K. R., and Bradfield, C. A. (2005). Advances in toxicogenomics. Chem. Res. Toxicol. 18, 403-414.
4. Heinloth, A. N., Irwin, R. D., Boorman, G. A., Nettesheim, P., Fannin, R. D., Sieber, S. O., Snell, M. L., Tucker, C. J., Li, L., Travlos, G. S., et al. (2004). Gene expression profiling of rat liver predicts potential adverse effects. Toxicol. Sci. 80, 193-202.
5. Hieter, P., and Boguski, M. (1997). Functional genomics: It's all how you read it. Science 278, 601-602.
6. Nuwaysir, E. F., Bittner, M., Trent, J., Barrett, J. C., and Afshari, C. A. (1999). Microarrays and toxicology: The advent of toxicogenomics. Mol. Carcinog. 24, 153-159.
7. Paules, R. (2003). Phenotypic anchoring: Linking cause and effect. Environ. Health Perspect. 111, A338-A339.
8. Waters, M. D., and Fostel, J. M. (2004). Toxicogenomics and systems toxicology: Aims and prospects. Nat. Rev. 5, 936-948.
9. Yu, X., Griffith, B., Hanspers, K., Dillman, J. F., III, Ong, H., Vredevoogd, M. A., and Faustman, E. M. (2006). A system based approach to interpret dose and time-dependant microarray data: Quantitative integration of GO ontology analysis for risk assessment. Toxicol. Sci. (in press).