Literature DB >> 15720270

The role of transcriptome analysis in pre-clinical toxicology.

George H Searfoss1, Timothy P Ryan, Robert A Jolly.   

Abstract

A major benefit of the genomics revolution in biomedical research has been the establishment of transcriptome analysis as an enabling technology in the drug development process. Nowhere in the realm of drug development has the expectation of the impact of transcriptome analysis been greater than in the area of pre-clinical toxicology. Transcriptome analysis, along with other new high-content data generating technologies, has the potential to radically improve the drug safety assessment process by allowing drug development teams to identify potential toxicity liabilities earlier, and thus proceed only with those molecules that have both efficacy at the target and a low potential for toxicity in the human population. In this review we will briefly describe the major ways in which transcriptome analysis is being applied in the pre-clinical safety assessment process, focusing primarily on four areas where transcriptome analysis has already begun to have impact. These include using transcriptome analysis to: 1) understand mechanisms of toxicity: 2) predict toxicity: 3) develop in vivo and in vitro surrogate models and screens; and, 4) develop toxicity biomarkers. We will close by briefly addressing future trends and needs in the application of transcriptome analysis to drug safety assessment.

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Year:  2005        PMID: 15720270     DOI: 10.2174/1566524053152825

Source DB:  PubMed          Journal:  Curr Mol Med        ISSN: 1566-5240            Impact factor:   2.222


  4 in total

1.  A novel statistical algorithm for gene expression analysis helps differentiate pregnane X receptor-dependent and independent mechanisms of toxicity.

Authors:  M Ann Mongan; Robert T Dunn; Steven Vonderfecht; Nancy Everds; Guang Chen; Cheng Su; Marnie Higgins-Garn; Yuan Chen; Cynthia A Afshari; Toni L Williamson; Linda Carlock; Christopher Dipalma; Suzanne Moss; Jeanine Bussiere; Charles Qualls; Yudong D He; Hisham K Hamadeh
Journal:  PLoS One       Date:  2010-12-21       Impact factor: 3.240

2.  Comparative nephrotoxicity of Cisplatin and nedaplatin: mechanisms and histopathological characteristics.

Authors:  Takeki Uehara; Jyoji Yamate; Mikinori Torii; Toshiyuki Maruyama
Journal:  J Toxicol Pathol       Date:  2011-06-30       Impact factor: 1.628

3.  H-RACS: a handy tool to rank anti-cancer synergistic drugs.

Authors:  Xinmiao Yan; Yiyan Yang; Zikun Chen; Zuojing Yin; Zeliang Deng; Tianyi Qiu; Kailin Tang; Zhiwei Cao
Journal:  Aging (Albany NY)       Date:  2020-11-10       Impact factor: 5.682

Review 4.  Lost in Translation (LiT): IUPHAR Review 6.

Authors:  Colin T Dollery
Journal:  Br J Pharmacol       Date:  2014-05       Impact factor: 8.739

  4 in total

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