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Related Concept Videos

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Related Experiment Video

Updated: Jul 17, 2026

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
09:33

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Published on: August 25, 2023

Genomic cluster and network analysis for predictive screening for hepatotoxicity.

Tamio Fukushima1, Rie Kikkawa, Yoshimasa Hamada

  • 1Drug Safety Research & Development, Nagoya Laboratories, Pfizer Japan Inc, Aichi, Japan. tamio.fukushima@pfizer.com

The Journal of Toxicological Sciences
|January 5, 2007
PubMed
Summary

Genomic approaches effectively predict liver toxicity (hepatotoxicity) by classifying gene expression patterns. This method aids in early detection and identifies key biomarkers for toxicological assessment.

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Last Updated: Jul 17, 2026

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
09:33

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor

Published on: August 25, 2023

Area of Science:

  • Toxicology
  • Genomics
  • Biomarker Discovery

Background:

  • Hepatotoxicity assessment traditionally relies on histological changes, which may appear late.
  • Genomic data offers a potential for earlier and more sensitive detection of liver injury.

Purpose of the Study:

  • To evaluate the utility of genomic strategies for predicting drug-induced hepatotoxicity.
  • To identify early molecular changes associated with liver damage.

Main Methods:

  • Male rats were administered acetaminophen, carbon tetrachloride, amiodarone, or tetracycline.
  • Liver tissues were analyzed at 6 and 24 hours using microarray analysis, hierarchical cluster analysis, and gene network analysis.

Main Results:

  • Hierarchical clustering successfully classified samples by treatment group at both time points, even before histological changes were evident.
  • Gene expression analysis revealed significant alterations in transcription factor, oxidative stress, and lipid metabolism genes.
  • Network analysis identified down-regulation of SREBP1-regulated lipid metabolism genes and up-regulation of Nrf2-regulated oxidative stress genes.

Conclusions:

  • Genomic approaches, particularly cluster and network analyses, are valuable for early hepatotoxicity prediction and biomarker identification.
  • These methods can detect molecular changes preceding observable histological damage, improving toxicological assessments.