Literature DB >> 11890469

Toxicogenomics, drug discovery, and the pathologist.

Gary A Boorman1, Steven P Anderson, Warren M Casey, Roger H Brown, Lynn M Crosby, K Gottschalk, Marilyn Easton, Hong Ni, Kevin T Morgan.   

Abstract

The field of toxicogenomics, which currently focuses on the application of large-scale differential gene expression (DGE) data to toxicology, is starting to influence drug discovery and development in the pharmaceutical industry. Toxicological pathologists, who play key roles in the development of therapeutic agents, have much to contribute to DGE studies, especially in the experimental design and interpretation phases. The intelligent application of DGE to drug discovery can reveal the potential for both desired (therapeutic) and undesired (toxic) responses. The pathologist's understanding of anatomic, physiologic, biochemical, immune, and other underlying factors that drive mechanisms of tissue responses to noxious agents turns a bewildering array of gene expression data into focused research programs. The latter process is critical for the successful application of DGE to toxicology. Pattern recognition is a useful first step, but mechanistically based DGE interpretation is where the long-term future of these new technologies lies. Pathologists trained to carry out such interpretations will become important members of the research teams needed to successfully apply these technologies to drug discovery and safety assessment. As a pathologist using DGE, you will need to learn to read DGE data in the same way you learned to read glass slides, patiently and with a desire to learn and, later, to teach. In return, you will gain a greater depth of understanding of cell and tissue function, both in health and disease.

Mesh:

Year:  2002        PMID: 11890469     DOI: 10.1080/01926230252824671

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  6 in total

1.  Accelerating drug discovery.

Authors:  Sandra Kraljevic; Peter J Stambrook; Kresimir Pavelic
Journal:  EMBO Rep       Date:  2004-09       Impact factor: 8.807

2.  Successful drug development despite adverse preclinical findings part 1: processes to address issues and most important findings.

Authors:  Robert A Ettlin; Junji Kuroda; Stephanie Plassmann; David E Prentice
Journal:  J Toxicol Pathol       Date:  2010-12-16       Impact factor: 1.628

3.  Modern classification of neoplasms: reconciling differences between morphologic and molecular approaches.

Authors:  Jules Berman
Journal:  BMC Cancer       Date:  2005-08-10       Impact factor: 4.430

Review 4.  Pathological bases for a robust application of cancer molecular classification.

Authors:  Salvador J Diaz-Cano
Journal:  Int J Mol Sci       Date:  2015-04-17       Impact factor: 5.923

5.  Prediction of pharmacological and xenobiotic responses to drugs based on time course gene expression profiles.

Authors:  Tao Huang; Weiren Cui; Lele Hu; Kaiyan Feng; Yi-Xue Li; Yu-Dong Cai
Journal:  PLoS One       Date:  2009-12-02       Impact factor: 3.240

6.  The role of the toxicologic pathologist in the post-genomic era(#).

Authors:  Robert R Maronpot
Journal:  J Toxicol Pathol       Date:  2013-07-10       Impact factor: 1.628

  6 in total

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