Literature DB >> 11222867

Challenges and limitations of gene expression profiling in mechanistic and predictive toxicology.

M R Fielden1, T R Zacharewski.   

Abstract

RNA and protein expression profiling technologies have revolutionized how toxicologists can study the molecular basis of adverse effects of chemicals and drugs. It is expected that these new technologies will afford efficient and high-throughput means to delineate mechanisms of action and predict toxicity of unknown agents. To reach these goals, a more thorough understanding of the constraints of the methodology is needed to design genome-scale studies and to interpret the vast amount of data collected. This paper addresses some of the limitations and uncertainties of gene expression profiling in mechanistic and predictive toxicology with respect to the expectations of toxicogenomics. The challenges associated with interpreting information from large-scale gene expression experiments in vivo is also discussed.

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Year:  2001        PMID: 11222867     DOI: 10.1093/toxsci/60.1.6

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  22 in total

Review 1.  Toxicogenomics in drug discovery and drug development: potential applications and future challenges.

Authors:  Tin Oo Khor; Sherif Ibrahim; Ah-Ng Tony Kong
Journal:  Pharm Res       Date:  2006-08       Impact factor: 4.200

Review 2.  A statistical framework for applying RNA profiling to chemical hazard detection.

Authors:  Mitchell S Kostich
Journal:  Chemosphere       Date:  2017-08-28       Impact factor: 7.086

3.  Ovarian gene expression is stable after exposure to trichloroethylene.

Authors:  Katherine Lily Wu; Trish Berger
Journal:  Toxicol Lett       Date:  2007-12-27       Impact factor: 4.372

4.  Selecting a single model or combining multiple models for microarray-based classifier development?--a comparative analysis based on large and diverse datasets generated from the MAQC-II project.

Authors:  Minjun Chen; Leming Shi; Reagan Kelly; Roger Perkins; Hong Fang; Weida Tong
Journal:  BMC Bioinformatics       Date:  2011-10-18       Impact factor: 3.169

Review 5.  The evolving role of drug metabolism in drug discovery and development.

Authors:  Lilian G Yengi; Louis Leung; John Kao
Journal:  Pharm Res       Date:  2007-03-01       Impact factor: 4.580

6.  The National Center for Toxicogenomics: using new technologies to inform mechanistic toxicology.

Authors:  Raymond W Tennant
Journal:  Environ Health Perspect       Date:  2002-01       Impact factor: 9.031

7.  Induction of the interleukin 6/ signal transducer and activator of transcription pathway in the lungs of mice sub-chronically exposed to mainstream tobacco smoke.

Authors:  Sabina Halappanavar; Marsha Russell; Martin R Stampfli; Andrew Williams; Carole L Yauk
Journal:  BMC Med Genomics       Date:  2009-08-21       Impact factor: 3.063

8.  The Power of Resolution: Contextualized Understanding of Biological Responses to Liver Injury Chemicals Using High-throughput Transcriptomics and Benchmark Concentration Modeling.

Authors:  Sreenivasa C Ramaiahgari; Scott S Auerbach; Trey O Saddler; Julie R Rice; Paul E Dunlap; Nisha S Sipes; Michael J DeVito; Ruchir R Shah; Pierre R Bushel; Bruce A Merrick; Richard S Paules; Stephen S Ferguson
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

9.  Effects of lithium and valproic acid on gene expression and phenotypic markers in an NT2 neurosphere model of neural development.

Authors:  Eric J Hill; David A Nagel; John D O'Neil; Elizabeth Torr; Elizabeth K Woehrling; Andrew Devitt; Michael D Coleman
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

10.  Clofibrate-induced gene expression changes in rat liver: a cross-laboratory analysis using membrane cDNA arrays.

Authors:  Valerie A Baker; Helen M Harries; Jeff F Waring; Colette M Duggan; Hong A Ni; Robert A Jolly; Lawrence W Yoon; Angus T De Souza; Judith E Schmid; Roger H Brown; Roger G Ulrich; John C Rockett
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

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