Literature DB >> 18449481

Use of traditional end points and gene dysregulation to understand mechanisms of toxicity: toxicogenomics in mechanistic toxicology.

Wayne R Buck1, Jeffrey F Waring, Eric A Blomme.   

Abstract

Microarray technologies can be used to generate massive amounts of gene expression information as an initial step to decipher the molecular mechanisms of toxicologic changes. Identifying genes whose expression is associated with specific toxic end points is an initial step in predicting, characterizing, and understanding toxicity. Analysis of gene function and the chronology of gene expression changes represent additional methods to generate hypotheses of the mechanisms of toxicity. Follow-up experiments are typically required to confirm or refute hypotheses derived from toxicogenomic data. Understanding the mechanism of toxicity for a compound is a critical step in forming a rational plan for developing counterscreens for toxicity and for increasing productivity of research and development while decreasing the risk of late-stage failure in pharmaceutical development.

Entities:  

Mesh:

Year:  2008        PMID: 18449481     DOI: 10.1007/978-1-60327-048-9_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  7 in total

Review 1.  Blood transcriptomics: applications in toxicology.

Authors:  Pius Joseph; Christina Umbright; Rajendran Sellamuthu
Journal:  J Appl Toxicol       Date:  2013-03-01       Impact factor: 3.446

2.  SOT Symposium Highlight: Translatable Indicators of Testicular Toxicity: Inhibin B, MicroRNAs, and Sperm Signatures.

Authors:  Edward Dere; Linnea M Anderson; Michelle Coulson; Barry S McIntyre; Kim Boekelheide; Robert E Chapin
Journal:  Toxicol Sci       Date:  2013-09-19       Impact factor: 4.849

3.  Emerging Bioinformatics Methods and Resources in Drug Toxicology.

Authors:  Karine Audouze; Olivier Taboureau
Journal:  Methods Mol Biol       Date:  2022

4.  Blood gene expression markers to detect and distinguish target organ toxicity.

Authors:  Christina Umbright; Rajendran Sellamuthu; Shengqiao Li; Michael Kashon; Michael Luster; Pius Joseph
Journal:  Mol Cell Biochem       Date:  2009-09-26       Impact factor: 3.396

5.  Identification of biomarkers that distinguish chemical contaminants based on gene expression profiles.

Authors:  Xiaomou Wei; Junmei Ai; Youping Deng; Xin Guan; David R Johnson; Choo Y Ang; Chaoyang Zhang; Edward J Perkins
Journal:  BMC Genomics       Date:  2014-03-31       Impact factor: 3.969

6.  Comparison of RNA-Seq and Microarray Gene Expression Platforms for the Toxicogenomic Evaluation of Liver From Short-Term Rat Toxicity Studies.

Authors:  Mohan S Rao; Terry R Van Vleet; Rita Ciurlionis; Wayne R Buck; Scott W Mittelstadt; Eric A G Blomme; Michael J Liguori
Journal:  Front Genet       Date:  2019-01-22       Impact factor: 4.599

7.  Sperm mRNA transcripts are indicators of sub-chronic low dose testicular injury in the Fischer 344 rat.

Authors:  Sara E Pacheco; Linnea M Anderson; Moses A Sandrof; Marguerite M Vantangoli; Susan J Hall; Kim Boekelheide
Journal:  PLoS One       Date:  2012-08-31       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.