Toxicogenomics

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Affymetrix Toxicogenomics

Toxicogenomics is a scientific sub-discipline that combines toxicology with genomics, such as microarray technology. Whether you work at a government or academic research institute, or in the pharmaceutical and biotech industries, Affymetrix solutions can accelerate your toxicology decisions.

Affymetrix offers a complete solution for small molecule and biotherapeutics development. With GeneChip® technology, you can:

  • Identify mechanism of toxicity - Find major, specific gene expression changes with biomarkers at the molecular level
  • Select compounds and design backup compounds using gene expression
  • Reveal species differences in toxicological studies at the molecular level
  • Accelerate your toxicological interpretation of gene expression with a ToxFX™ Report
  • Accelerate your throughput and productivity - Run 96 samples at once with Affymetrix' high-throughput solutions
Affymetrix Toxicology Solutions
Tox Publications

Gold Standard For Toxicogenomics Studies

  • The most widely used platform in toxicogenomics research
  • The highest number of publications
  • Commercial toxicogenomics database support
  • High-throughput solutions that allow you to process up to 96 samples at once
  • Best annotation tools: The NetAffx® Analysis Center — Get to the biology faster and save time!

Microarray Quality Control (MAQC)

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The Affymetrix Toxicogenomic Platform offers complete species coverage for toxicology, including rat, mouse, canine, rhesus macaque, porcine, zebrafish and human arrays.

Rat Microarrays / Array Plates

Mouse Microarrays / Array Plates

Other Organisms / Array Plates

Human Microarrays / Array Plates

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Microarrays as a New Tool for the Toxicologist in Drug Discovery and Development

Abbott's Eric Blomme and Bayer's Heidrun Ellinger-Ziegelbauer discuss toxicogenomics in predictive toxicology, mechanistic toxicology and target selection.

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Toxicogenomics Impacts Decision-making Early in the Pipeline at Eli Lilly

Eli Lilly's Tim Ryan discusses using gene expression data to speed development decisions as molecules move through early toxicology assessment.

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