Literature DB >> 15885710

In pursuit of effective toxicogenomics.

Timothy W Gant1, Shu-Dong Zhang.   

Abstract

Biological systems exhibit complex responses to xenobiotics varying from generic stress responses to very specific changes closely associated with the mechanism of toxicity. Until recently our view of this complexity was obscured by the simplicity of available analysis tools which allowed determination of only a few genes in any one study. Then genome sequencing and high throughput library screening projects delivered data on the genome sequence of many organisms, and clones were collected and made available to researchers in a previously unparalleled quantity. To exploit this new resource the microarray was developed from its predecessor the dot blot. Further development has expanded the number of clones contained on any one microarray to a point where the expression of many tens of thousands of genes in a biological system can be determined in a short period of time. What these data are revealing is the full complexity of the gene expression response to stimuli such as xenobiotic exposure. Toxicogenomics seeks to use the complexity of this response as a fingerprint or signature characteristic of that xenobiotic exposure. There are though two major experimental challenges that need to be dealt with for toxicogenomics to be successful. The first is technical and relates to the intrinsic difficulties associated with the accurate measurement of gene expression. For microarrays, this problem is multiplied by the number of genes on the microarray itself. To overcome this technical variability correct experimental design is critical. The second challenge concerns the biological system used. What genetic background, time point and dose of xenobiotic should be chosen? For in vitro systems should cell lines or primary cells be used? These factors, and more, could affect the gene expression profile obtained in response to the same xenobiotic exposure. Using both our data and data from public databases these issues are explored in this paper.

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Year:  2005        PMID: 15885710     DOI: 10.1016/j.mrfmmm.2005.02.007

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  7 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 generic Transcriptomics Reporting Framework (TRF) for 'omics data processing and analysis.

Authors:  Timothy W Gant; Ursula G Sauer; Shu-Dong Zhang; Brian N Chorley; Jörg Hackermüller; Stefania Perdichizzi; Knut E Tollefsen; Ben van Ravenzwaay; Carole Yauk; Weida Tong; Alan Poole
Journal:  Regul Toxicol Pharmacol       Date:  2017-11-04       Impact factor: 3.271

3.  The anti-tumour agent, cisplatin, and its clinically ineffective isomer, transplatin, produce unique gene expression profiles in human cells.

Authors:  Anne M Galea; Vincent Murray
Journal:  Cancer Inform       Date:  2008-06-10

4.  Benchmarking of a Bayesian single cell RNAseq differential gene expression test for dose-response study designs.

Authors:  Rance Nault; Satabdi Saha; Sudin Bhattacharya; Jack Dodson; Samiran Sinha; Tapabrata Maiti; Tim Zacharewski
Journal:  Nucleic Acids Res       Date:  2022-05-06       Impact factor: 19.160

Review 5.  Microarray technology in obstetrics and gynecology: a guide for clinicians.

Authors:  Kenneth Ward
Journal:  Am J Obstet Gynecol       Date:  2006-04-17       Impact factor: 8.661

6.  Reference genes for real-time PCR quantification of microRNAs and messenger RNAs in rat models of hepatotoxicity.

Authors:  María N Lardizábal; Ana L Nocito; Stella M Daniele; Leonardo A Ornella; Javier F Palatnik; Luis M Veggi
Journal:  PLoS One       Date:  2012-05-01       Impact factor: 3.240

7.  Proceedings of the First International Conference on Toxicogenomics Integrated with Environmental Sciences (TIES-2007).

Authors:  Pierre R Bushel; Dahlia Nielsen; Weida Tong
Journal:  BMC Proc       Date:  2009-03-10
  7 in total

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