Literature DB >> 15033589

Toxicogenomics in risk assessment: an overview of an HESI collaborative research program.

William Pennie1, Syril D Pettit, Peter G Lord.   

Abstract

The value of genomic approaches in hypothesis generation is being realized as a tool for understanding toxicity and consequently contributing to an assessment of drug and chemical safety. In 1999 the membership of the International Life Sciences Institute Health and Environmental Sciences Institute formed a committee to develop a collaborative scientific program to address issues, challenges, and opportunities afforded by the emerging field of toxicogenomics. Experts and advisors from academia and government laboratories participate on the committee, along with approximately 30 corporate member organizations from the pharmaceutical, agrochemical, chemical, and consumer products industries. The committee has designed, conducted, and analyzed numerous toxicogenomic experiments within the broad fields of hepatotoxicity, nephrotoxicity, and genotoxicity. The considerable body of data generated by these programs has been instrumental in increasing understanding of sources of biological and technical variability in the alignment of toxicant-induced transcription changes with the accepted mechanism of action of these agents and the challenges in the consistent analysis and sharing of the voluminous data sets generated by these approaches. Recognizing the importance of standardized microarray data formats and public repository databases as the mechanism by which microarray data can be compared and interpreted by the scientific community, the committee has partnered with the European Bioinformatics Institute to develop a database to house the data generated by its collaborative research.

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Year:  2004        PMID: 15033589      PMCID: PMC1241893          DOI: 10.1289/ehp.6674

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  27 in total

1.  Microarray analysis of hepatotoxins in vitro reveals a correlation between gene expression profiles and mechanisms of toxicity.

Authors:  J F Waring; R Ciurlionis; R A Jolly; M Heindel; R G Ulrich
Journal:  Toxicol Lett       Date:  2001-03-31       Impact factor: 4.372

Review 2.  Challenges and limitations of gene expression profiling in mechanistic and predictive toxicology.

Authors:  M R Fielden; T R Zacharewski
Journal:  Toxicol Sci       Date:  2001-03       Impact factor: 4.849

Review 3.  Microarrays and toxicology: the advent of toxicogenomics.

Authors:  E F Nuwaysir; M Bittner; J Trent; J C Barrett; C A Afshari
Journal:  Mol Carcinog       Date:  1999-03       Impact factor: 4.784

4.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

Review 5.  Key challenges for toxicologists in the 21st century.

Authors:  L L Smith
Journal:  Trends Pharmacol Sci       Date:  2001-06       Impact factor: 14.819

6.  The use of genomics technology to investigate gene expression changes in cultured human liver cells.

Authors:  H M Harries; S T Fletcher; C M Duggan; V A Baker
Journal:  Toxicol In Vitro       Date:  2001 Aug-Oct       Impact factor: 3.500

7.  Annotation and cross-indexing of array elements on multiple platforms.

Authors:  William B Mattes
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

8.  Dye bias correction in dual-labeled cDNA microarray gene expression measurements.

Authors:  Barry A Rosenzweig; P Scott Pine; Olen E Domon; Suzanne M Morris; James J Chen; Frank D Sistare
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

Review 9.  Database development in toxicogenomics: issues and efforts.

Authors:  William B Mattes; Syril D Pettit; Susanna-Assunta Sansone; Pierre R Bushel; Michael D Waters
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

10.  Identification of platform-independent gene expression markers of cisplatin nephrotoxicity.

Authors:  Karol L Thompson; Cynthia A Afshari; Rupesh P Amin; Timothy A Bertram; Bruce Car; Michael Cunningham; Clive Kind; Jeffrey A Kramer; Michael Lawton; Michael Mirsky; Jorge M Naciff; Victor Oreffo; P Scott Pine; Frank D Sistare
Journal:  Environ Health Perspect       Date:  2004-03       Impact factor: 9.031

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  25 in total

1.  Characterization and interlaboratory comparison of a gene expression signature for differentiating genotoxic mechanisms.

Authors:  Heidrun Ellinger-Ziegelbauer; Jennifer M Fostel; Chinami Aruga; Daniel Bauer; Eric Boitier; Shibing Deng; Donna Dickinson; Anne-Celine Le Fevre; Albert J Fornace; Olivier Grenet; Yizhong Gu; Jean-Christophe Hoflack; Masako Shiiyama; Roger Smith; Ronald D Snyder; Catherine Spire; Gotaro Tanaka; Jiri Aubrecht
Journal:  Toxicol Sci       Date:  2009-05-22       Impact factor: 4.849

Review 2.  DNA microarray-based gene expression profiling of estrogenic chemicals.

Authors:  Ryoiti Kiyama; Yun Zhu
Journal:  Cell Mol Life Sci       Date:  2014-01-08       Impact factor: 9.261

3.  Technical guide for applications of gene expression profiling in human health risk assessment of environmental chemicals.

Authors:  Julie A Bourdon-Lacombe; Ivy D Moffat; Michelle Deveau; Mainul Husain; Scott Auerbach; Daniel Krewski; Russell S Thomas; Pierre R Bushel; Andrew Williams; Carole L Yauk
Journal:  Regul Toxicol Pharmacol       Date:  2015-05-02       Impact factor: 3.271

4.  Phenobarbital and propiconazole toxicogenomic profiles in mice show major similarities consistent with the key role that constitutive androstane receptor (CAR) activation plays in their mode of action.

Authors:  Richard A Currie; Richard C Peffer; Amber K Goetz; Curtis J Omiecinski; Jay I Goodman
Journal:  Toxicology       Date:  2014-03-24       Impact factor: 4.221

Review 5.  A new method for the evaluation of vaccine safety based on comprehensive gene expression analysis.

Authors:  Haruka Momose; Takuo Mizukami; Masaki Ochiai; Isao Hamaguchi; Kazunari Yamaguchi
Journal:  J Biomed Biotechnol       Date:  2010-06-13

6.  Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics.

Authors:  J William Allwood; Alexander Erban; Sjaak de Koning; Warwick B Dunn; Alexander Luedemann; Arjen Lommen; Lorraine Kay; Ralf Löscher; Joachim Kopka; Royston Goodacre
Journal:  Metabolomics       Date:  2009-07-24       Impact factor: 4.290

7.  Successful drug development despite adverse preclinical findings part 2: examples.

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

8.  Oligonucleotide microarray analysis of dietary-induced hyperlipidemia gene expression profiles in miniature pigs.

Authors:  Junko Takahashi; Shiori Waki; Rena Matsumoto; Junji Odake; Takayuki Miyaji; Junichi Tottori; Takehiro Iwanaga; Hitoshi Iwahashi
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

9.  Oligonucleotide microarray analysis of age-related gene expression profiles in miniature pigs.

Authors:  Junko Takahashi; Masaki Misawa; Hitoshi Iwahashi
Journal:  PLoS One       Date:  2011-05-13       Impact factor: 3.240

10.  Toxicogenomics in risk assessment: communicating the challenges.

Authors:  Syril D Pettit
Journal:  Environ Health Perspect       Date:  2004-08       Impact factor: 9.031

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