Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Toxicologic Pathology
This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Morgan, K. T.
Right arrow Articles by Boorman, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Morgan, K. T.
Right arrow Articles by Boorman, G.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Complementary Roles for Toxicologic Pathology and Mathematics in Toxicogenomics, With Special Reference to Data Interpretation and Oscillatory Dynamics

Kevin T. Morgan

Aventis Pharmaceuticals, Bridgewater, New Jersey, USA, kevin.morgan{at}aventis.com

Michael Pino

Aventis Pharmaceuticals, Bridgewater, New Jersey, USA

Lynn M. Crosby

GeneExpressions, Raleigh, North Carolina, USA

Min Wang

Aventis Pharmaceuticals, Bridgewater, New Jersey, USA

Timothy C. Elston

Department of Mathematics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA

Zaid Jayyosi

Aventis Pharmaceuticals, Bridgewater, New Jersey, USA

Marc Bonnefoi

Aventis Pharmaceuticals, Bridgewater, New Jersey, USA

Gary Boorman

NIEHS, Research Triangle Park, North Carolina, USA

Toxicogenomics is an emerging multidisciplinary science that will profoundly impact the practice of toxicology. New generations of biologists, using evolving toxicogenomics tools, will generate massive data sets in need of interpretation. Mathematical tools are necessary to cluster and otherwise find meaningful structure in such data. The linking of this structure to gene functions and disease processes, and finally the generation of useful data interpretation remains a significant challenge. The training and background of pathologists make them ideally suited to contribute to the field of toxicogenomics, from experimental design to data interpretation. Toxicologic pathology, a discipline based on pattern recognition, requires familiarity with the dynamics of disease processes and interactions between organs, tissues, and cell populations. Optimal involvement of toxicologic pathologists in toxicogenomics requires that they communicate effectively with the many other scientists critical for the effective application of this complex discipline to societal problems. As noted by Petricoin III et al (Nature Genetics 32, 474-479, 2002), cooperation among regulators, sponsors and experts will be essential for realizing the potential of microarrays for public health. Following a brief introduction to the role of mathematics in toxicogenomics, "data interpretation" from the perspective of a pathologist is briefly discussed. Based on oscillatory behavior in the liver, the importance of an understanding of mathematics is addressed, and an approach to learning mathematics "later in life" is provided. An understanding of pathology by mathematicians involved in toxicogenomics is equally critical, as both mathematics and pathology are essential for transforming toxicogenomics data sets into useful knowledge.

Key Words: Toxicogenomics • differential gene expression interpretation • pathology • gene expression dynamics • interdisciplinary communication • learning mathematics.

References

  • Abbas, A.K., Lichtman, A.H., and Pober, J.S. (2000). Cellular and Molecular Immunology. W. B. Saunders Company, Philadelphia.
  • Adachi, Y., Kindzelskii, A.L., Cookingham, G., Shaya, S., Moore, E.C., Todd, R.F., andPetty, H.R. (1998). Aberrant neutrophil trafficking and metabolic oscillations in severe pyoderma gangrenosum. J Clin Dermatol 111, 259— 68.
  • Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., and Walter, P. (2002). Molecular Biology of the Cell. Garland Science, New York.
  • Alcantara, O., Kalidas, M., Baltathakis, I., and Boldt, D.H. (2001). Expression of multiple genes regulating cell cycle and apoptosis in differentiating hematopoietic cells is dependent on iron. Exp Hematol 29, 1060—9.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Arias, I. M., Boyer, J. L., Chisari, F. V., Fausto, N., Schachter, D., and Shafritz, D. A., eds. (2001). The Liver, Biology and Pathobiology. Lippincott Williams & Wilkins, Philadelphia.
  • Baker, T.K., Carfagna, M.A., Gao, H., Dow, E.R., Li, Q., Searfoss, G.H., and Ryan, T.P. (2001). Temporal gene expression analysis of monolayer cultured rat hepatocytes. Chem Res Toxicol 14, 1218—31.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Barhoumi, R., Mouneimne, Y., Awooda, I., Safe, S.H., Donnelly, K.C., and Burghardt, R.C. (2002). Characterization of calcium oscillations in normal and benzo[a]pyrene-treated clone 9 cells. Toxicol Sci 68, 444—50.[Abstract/Free Full Text]
  • Baxevanis, A. D., and Ouellette, B. F. F., eds. (2001). Bioinformatics. A Practical Guide to the Analysis of Genes and Proteins. John Wiley & Sons, Inc., New York.
  • Becskei, A., Seraphin, B., and Serrano, L. (2001). Positive feedback in eukaryotic gene networks: cell differentiation by graded to binary response conversion. EMBO J 20, 2528—35.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Berg, H. (1993). Random Walks in Biology. Princeton University Press, Princeton, New Jersey.
  • Bloomfield, P. (2000). Fourier Analysis of Time Series: An Introduction. John Wiley & Sons, Inc., New York.
  • Boess, F., Kamber, M., Romer, S., Gasser, R., Muller, D., Albertini, S., and Suter, L. (2003). Gene expression in two hepatic cell lines, cultured primary hepatocytes, and liver slices compared to the in vivo liver gene expression in rats: possible implications for toxicogenomics use of in vitro systems. Toxicol Sci 73, 386—402.[Abstract/Free Full Text]
  • Bolon, B., Dorman, D.C., Bonnefoi, M.S., Randall, H.W., and Morgan, K.T. (1993). Histopathologic approaches to chemical toxicity using primary cultures of dissociated neural cells grown in chamber slides. Toxicol Pathol 21, 465—79.[Abstract/Free Full Text]
  • Boorman, G.A., Anderson, S.P., Casey, W., Brown, H.R., Crosby, L.M., Gottschalk, K., Easton, M., Ni, H., and Morgan, K.T. (2002). Toxicogenomics, Drug Discovery, and the Pathologist. Toxicol Pathol 30, 15—27.[Abstract/Free Full Text]
  • Brand, M.D. (1997). Regulation analysis of energy metabolism. J Exp Biol 200, 193—202.[Abstract]
  • Braun, L., Puskas, F., Csala, M., Meszaros, G., Mandl, J., and Banhegyi, G. (1997). Ascorbate as a substrate for glycolysis or gluconeogenesis: evidence for an interorgan ascorbate cycle. Free Rad Biol Med 23, 804—8.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Brown, H.R., Ni, H., Benavides, G., Yoon, L., Hyder, K., Giridhar, J., Gardner, G., Tyler, R., and Morgan, K.T. (2002). Correlation of simultaneous differential gene expression in the blood and heart with known mechanisms of adriamycin-induced cardiomyopathy in the rat. Toxicol Pathol 30, 452—69.[Abstract/Free Full Text]
  • Burczynski, M. E., ed. (2003). An Introduction to Toxicogenomics. CRC Press, Boca Raton, FL.
  • Burczynski, M.E., McMillian, M., Ciervo, J., Li, L., Parker, J.B., Dunn, R.T.I., Hicken, S., Farr, S., and Johnson, M.D. (2000). Toxicogenomics-based discrimination of toxic mechanism in HepG2 human hepatoma cells. Toxicol Sci 58, 399—415.[Abstract/Free Full Text]
  • Casey, W., Anderson, S.P., Fox, T., Dold, K., Colton, H., and Morgan, K.T. (2002). Transcriptional and physiological responses of HepG2 cells exposed to diethyl maleate: time course results. Physiol Genomics 8, 115— 22.[Abstract/Free Full Text]
  • Causton, H.C., Quackenbush, J., and Brazma, A. (2003). Microarray Gene Expression Data Analysis: A Beginner's Guide. Blackwell Science Ltd, Malden, MA.
  • Crosby, L.M., Benavides, G., Yoon, L., Hyder, K., DeAngelo, A.B., and Morgan, K.T. (2000). Morphologic analysis correlates with gene expression changes in cultured F344 rat mesothelial cells. Toxicol Appl Pharmacol 169, 205—21.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Derbyshire, J. (2003). Prime Obsession. Joseph Henry Press, Washington, DC. Dodgson, C.L.R. (2002). Lewis Carroll's Symbolic Logic. Potter, NJ.
  • Eisen, M.B., Spellman, P.T., Brown, P.O., and Botstein, D. (1998). Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA 95, 14863—8.[Abstract/Free Full Text]
  • Ermentrout, B. (2002). Simulating, Analyzing, and Animating Dynamical Systems: A Guide to XPPAUT for Researchers and Students. SIAM, Philadelphia.
  • Fall, C. P., Marland, E. S., Wagner, J. M., and Tyson, J. J., eds. (2002). Computational Cell Biology. Springer, New York, NY.
  • Feynman, R.P., Leighton, R.B., and Sands, M.L. (1989). The Feynman Lectures on Physics: Commemorative Issue. Addison-Wesley Publishing Company, Redwood City, CA.
  • Fickett, J.W., and Wasserman, W.W. (2000). Discovery and modeling of transcriptional regulatory regions. Curr Opin Biotechnol 11, 19—24.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Fountoulakis, M., de Vera, M., Crameri, F., Boess, F., Gasser, R., Albertini, S., and Suter, L. (2002). Modulation of gene and protein expression by carbon tetrachloride in the rat liver. Toxicol Appl Pharmacol 183, 71—80.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Goldbeter, A. (1997). Biochemical Oscillations and Cellular Rhythms, The Molecular Bases of Periodic and Chaotic Behaviour. Cambridge University Press, Cambridge, UK.
  • Gómez-Casati, D.F., Busi, M.V., Gonzalez-Schain, N., Mouras, A., Zabaleta, E.J., and Araya, A. (2002). A mitochondrial dysfunction induces the expression of nuclear-encoded complex I genes in engineered male sterile Arabidopsis thaliana. FEBS Lett 532, 70—4.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Gullberg, J. (1997). Mathematics From the Birth of Numbers. W. W. Norton & Company, New York.
  • Gumucio, J.J., Bilier, B.M., Moseley, R.H., and Berkowitz, C.M. (1994). The biology of the liver cell plate. In The Liver: Biology and Pathobiology (I. M. Arias, J. L. Boyer, N. Fausto, W. B. Jacoby, D. A. Schachter and D. A. Shafritz, eds.), pp. 1142—63. Raven Press, Ltd., New York.
  • Guyton, A.C. (1976). Textbook of Medical Physiology. W. B. Saunders Company, Philadelphia, PA.
  • Heddi, A., Stepien, G., Benke, P.J., and Wallace, D.C. (1999). Coordinate induction of energy gene expression in tissues of mitochondrial disease patients. J Biol Chem 274, 22968—76.[Abstract/Free Full Text]
  • Ho, M.-W. (1993). The Rainbow and the Worm: The Physics of Organisms. World Scientific Publishing Co, Singapore.
  • Holter, N.S., Mitra, M., Maritan, A., Cieplak, M., Banavar, J.R., and Fedoroff, N.V. (2000). Fundamental patterns underlying gene expression profiles: simplicity from complexity. Proc Natl Acad Sci USA 97, 8409—14.[Abstract/Free Full Text]
  • Hosack, D.A., Dennis, G.J., Sherman, B.T., Lane, H.C., and Lempicki, R.A. (2003). Identifying biological themes within lists of genes with EASE. Genome Biol Online < http://genomebiology.com/2003/4/6/P4>.
  • Irwin, R.D., Boorman, G.A., Cunningham, M.L., Heinloth, A.N., Malarkey, D.E., and Paules, R.S. (2003). Application of toxicogenomics to toxicology: basic concepts in the analysis of microarray data. Toxicol Pathol 32(supp. 1), 72—83.
  • Ishida, H., Yamashita, C., Kuruta, Y., Yoshida, Y., and Noshiro, M. (2000). Insulin is a dominant suppressor of sterol 12{alpha}-hydroxylase P450 (CYP8B) expression in rat liver: possible role of insulin in circadian rhythm of CYP8B. J Biochem 127, 57—64.[Abstract/Free Full Text]
  • Jagota, A. (2000). Data Analysis and Classification for Bioinformatics. The Bay Press, Santa Cruz, CA.
  • Kepler, T.B., Crosby, L.M., and Morgan, K.T. (2001). Normalization and analysis of DNA microarray data by self-consistency and local regression. Genome Biol 3, 1—12.
  • Kietzmann, T., and Jungermann, K., eds. (1997). Metabolic Zonation of Liver Parenchyma and its Short-Term and Long-Term Regulation. R. G. Landes Company and Chapman & Hall, Georgetown, TX.
  • Kita, Y., Shiozawa, M., Jin, W., Majewski, R.R., Besharse, J.C., Green, A.S., and Jacob, H.J. (2002). Implications of circadian gene expression in kidney, liver and the effects of fasting on pharmacogenomic studies. Pharmacogen 12, 55—65.[CrossRef]
  • Klevecz, R.R. (1969). Temporal order in mammalian cells: 1. the periodic synthesis of lactate dehydrogenase in the cell cycle. J Biol Chem 43, 207— 19.
  • Kohane, I.S., Kho, A.T., and Butte, A.J. (2003). Microarrays for an Integrative Genomics. The MIT Press, Cambridge, Massachusetts.
  • Krauss, S., and Quant, P.A. (1996). Regulation and control in complex, dynamic metabolic systems: experimental application of the top-down approaches of metabolic control analysis to fatty acid oxidation and ketogenesis. J Theoret Biol 182, 381—8.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Kurachi, M., Hashimoto, S., Obata, A., Nagai, S., Nagahata, T., Inadera, H., Sone, H., Tohyama, C., Kaneko, S., Kobayashi, K., and Matsushima, K. (2002). Identification of 2,3,7,8.-tetrachlorodibenzo-p-dioxin-responsive genes in mouse liver by serial analysis of gene expression. Biochem Biophys Res Comm 292, 368—77.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Kuruvilla, S., Qualls, C.W.J., Tyler, R., Witherspoon, S.M., Benavides, G., Yoon, L., Dold, K., Brown, R.H., Sangiah, S., and Morgan, K.T. (2003). Effects of minimally toxic levels of carbonyl cyanide p-(trifluoromethoxy) phenylhydrazone (FCCP), elucidated through differential gene expression with biochemical and morphological correlations. Toxicol Sci 73, 348—61.[Abstract/Free Full Text]
  • Larreta-Garde, V., and Berry, H. (2002). Modeling extracellular matrix degradation balance with proteinase/transglutaminase cycle. J Theoret Biol 217, 105—24.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Leon, S.J. (2002). Linear Algebra with Applications. Prentice-Hall, Inc., Upper Saddle River, NJ.
  • LEX. (1995). Who is Fourier? A Mathematical Adventure. Transnational College of LEX.
  • Li, B., Holloszy, J.O., and Semenkovich, C.F. (1999). Respiratory uncoupling induces {delta}-aminolevulinate synthase expression through a nuclear respiratory factor-1-dependent mechanism in HeLa cells. J Biol Chem 274, 17534—40.[Abstract/Free Full Text]
  • Mathews, C.K., and van Holde, K.E. (1990). Carbohydrate metabolism I: anaerobic processes in generating metabolic energy. In Biochemistry (D. Bowen, ed.), pp. 433—66. The Benjamin /Cummings Publishing Company, Redwood City, CA.
  • Morgan, K.T., Casey, W., Easton, M., Creech, D., Ni, H., Yoon, L., Anderson, S.P., Qualls, J.C.W., Crosby, L.M., MacPherson, A., Bloomfield, P., and Elston, T.C. (2003). Frequent sampling reveals dynamic responses by the transcriptome to routine media replacement in HepG2 Cells. Toxicol Pathol 31, 1—14.[Abstract/Free Full Text]
  • Morgan, K.T., Ni, H., Brown, H.R., Yoon, L., Qualls, C.W.J., Crosby, L.M., Renolds, R., Gaskill, B., Anderson, S.P., Kepler, T.B., Brainard, T., Liv, N., Easton, M., Merrill, C., Creech, D., Sprenger, D., Conner, G., Johnson, P.R., Fox, T., Sartor, M., Richard, E., Kuruvilla, S., Casey, W., and Benavides, G. (2002). Application of cDNA microarray technology to in vitro toxicology and the selection of genes for a real time RT-PCRbased screen for oxidative stress in Hep-G2 Cells. Toxicol Pathol 30, 435—51.[Abstract/Free Full Text]
  • Murray, R.K., Granner, D.K., Mayes, P.A., and Rodwell, V.W. (2000). Harper's Biochemistry. Appleton & Lange, Stamford, Connecticut.
  • Nowak, M.A., and May, R.M. (2000). Virus Dynamics: Mathematical Principles of Immunology and Virology. Oxford University Press, Oxford, UK.
  • Petricoin III, E., Hackett, J.L., Lesko, L.J., Puri, R.K., Gutman, S.I., Chumakov, K., Woodcock, J., Feigal, D.W., Zoon, K.C., and Sistare, F.D. (2002). Medical applications of microarray technologies: a regulatory science perspective. Nature Genetics 32, 474—9.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Porsin, B., Formento, J.-L., Filipski, E., Etienne, M.-C., Francoual, M., Renee, N., Magne, N., Levi, F., and Milano, G. (2003). Dihydropyrimidine dehydrogenase circadian rhythm in mouse liver: comparison between enzyme activity and gene expression. Europ J Cancer 39, 822—8.[CrossRef]
  • Post, E., and Forchhammer, M.C. (2002). Synchronization of animal population dynamics by large-scale climate. Nature 420, 168—71.[CrossRef][Medline] [Order article via Infotrieve]
  • Potter, V.R., Watanabe, M., Pitot, H.C., and Morris, H.P. (1969). Systematic oscillations in metabolic activity in rat liver and hepatomas. Survey of normal diploid and other hepatoma lines. Cancer Res 29, 55—78.[Abstract/Free Full Text]
  • Rigoulet, M., Laverve, X., Fontaine, E., Ouhabi, R., and Guerin, B. (1998). Quantitative analysis of some mechanisms affecting the yield of oxidative phosphorylation: dependence upon both fluxes and forces. Mol Cell Biochem 184, 35—52.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Robb-Gaspers, L.D., and Thomas, A.P. (1995). Coordination of Ca2+ Signaling by intercellular propagation of Ca2+ waves in the intact liver. J Biol Chem 270, 8102—7.[Abstract/Free Full Text]
  • Sack, M.N., Rader, T.A., Park, S., Bastin, J., McCune, S.A., and Kelly, D.P. (1996). Congestive heart failure/myocardial disease: fatty acid oxidation enzyme gene expression is downregulated in the failing heart. Circulation 94, 2837—42.[Abstract/Free Full Text]
  • Salsburg, D. (2001). The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century. Henry Holt and Company, New York.
  • Schuster, S., Fell, D.A., and Dandekar, T. (2000). A general definition of metabolic pathways useful for systemic organization and analysis of complex metabolic networks. Nature Biotechnol 18, 326—32.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Shackel, N.A., Gorrell, M.D., and McCaughan, W. (2002). Gene array analysis and the liver. Hepatology 36, 1313—25.[Web of Science][Medline] [Order article via Infotrieve]
  • Shymko, R.M., Klevecz, R.R., and Kauffman, S.A. (1984). The cell cycle as an oscillatory system. In Cell Cycle Clocks (L. Edmunds, ed.), pp. 273—93. Marcel Dekker, Inc., New York.
  • Skulachev, V.P. (1998). Uncoupling: new approaches to an old problem of bioenergetics. Biochem Biophys Acta 1363, 100—24.[Medline] [Order article via Infotrieve]
  • Somogyi, R., and Sniegoski, C.A. (1996). Modeling the complexity of genetic networks: understanding multigenic and pleiotropic regulation. In Complexity, pp. 45—63. John Wiley & Sons, Inc.
  • Spaihts, J. (1998). The Princeton Review: High School Math I Review. Random House, Inc., New York.
  • Spellman, P.T., Sherlock, G., Zhang, M.Q., Iyer, V.R., Anders, K., Eisen, M.B., Brown, P.O., Botstein, D., and Futcher, B. (1998). Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol Biol Cell 9, 3273—97.[Abstract/Free Full Text]
  • Stewart, J., Redlin, L., and Watson, S. (1998). Precalculus: Mathematics for Calculus. Brooks/Cole Publishing Company, Pacific Grove, CA.
  • Stewert, J. (1998). Calculus: Concepts and Contexts. Brooks/Cole Publishing Company, Pacific Grove, CA.
  • Strogatz, S.H. (1994). Nonlinear Dynamics and Chaos. Perseus Book Publishing, New York.
  • Strogatz, S.H. (2003). SYNC: The Emerging Science of Spontaneous Order. Hyperion, New York.
  • Swift, J. (2003). Gulliver's Travels. Penguin Classics, London, UK.
  • Taubes, C.H. (2001). Modeling Differential Equations in Biology. Prentice Hall, Inc., Upper Saddle River, NJ.
  • Terazono, H., Mutoh, T., Yamaguchi, S., Kobayashi, M., Akiyama, M., Udo, R., Ohdo, S., Okamura, H., and Shibata, S. (2003). Adrenergic regulation of clock gene expression in mouse liver. Proc Natl Acad Sci USA 100, 6795—800.[Abstract/Free Full Text]
  • Thomas, R.S., Rank, D.R., Penn, S.G., Zastrow, G.M., Hayes, K.R., Pande, K., Glover, E., Silander, T., Craven, M.W., Reddy, J.K., Jovanovich, S.B., and Bradfield, C.A. (2001). Identification of toxicologically predictive gene sets using cDNA microarrays. Mol Pharmacol 60, 1189— 94.[Abstract/Free Full Text]
  • Thompson, S.P., and Gardner, M. (1998). Calculus Made Easy. St. Martin's Press, New York.
  • Tietjen, I., Rihel, J.M., Cao, Y., Koentges, G., Zakhary, L., and Dulac, C. (2003). Single-cell transcriptional analysis of neuronal progenitors. Neuron 38, 161—75.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Tyson, J.J., Chen, K.C., and Novak, B. (2003). Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. Curr Op Cell Biol 15, 221—31.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Vidal-Vanaclocha, F., ed. (1997). Functional Heterogeneity of Liver Tissue: From Cell Lineage Diversity to Sublobular Compartment-Specific Pathogenesis. R. G. Landes Company, Austin, Texas.
  • Watford, M., Chellaraj, V., Ismat, A., Brown, P., and Raman, P. (2002). Hepatic glutamine metabolism. Nutrition 18, 301—3.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Zhou, C., and Kurths, J. (2003). Noise-induced synchronization and coherence resonance of a Hodgkin-Huxley model of thermally sensitive neurons. Chaos 13, 401—9.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  • Zwillinger, D., ed. (2003). CRC Standard Mathematical Tables and Formulae. Chapman & Hall/CRC, New York.

Toxicologic Pathology, Vol. 32, No. 1 suppl, 13-25 (2004)
DOI: 10.1080/01926230490424789


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
BioinformaticsHome page
Y. Tan, L. Shi, S. M. Hussain, J. Xu, W. Tong, J. M. Frazier, and C. Wang
Integrating time-course microarray gene expression profiles with cytotoxicity for identification of biomarkers in primary rat hepatocytes exposed to cadmium
Bioinformatics, January 1, 2006; 22(1): 77 - 87.
[Abstract] [Full Text] [PDF]


Home page
Toxicol PatholHome page
K. T. Morgan, Z. Jayyosi, M. A. Hower, M. V. Pino, T. M. Connolly, K. Kotlenga, J. Lin, M. Wang, H.-L. Schmidts, M. S. Bonnefoi, et al.
The Hepatic Transcriptome as a Window on Whole-Body Physiology and Pathophysiology
Toxicol Pathol, January 1, 2005; 33(1): 136 - 145.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Morgan, K. T.
Right arrow Articles by Boorman, G.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Morgan, K. T.
Right arrow Articles by Boorman, G.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?