Lower Cost per Test is Your Solution for Pharmacogenomics Research


Innovative lab products from Douglas Scientific can help improve the process of drug metabolism genotyping to ensure new drugs are both safe and effective for patients.

Clinical drug trials require long term, high volume genetic testing to ensure new drugs perform as expected and do not lead to dangerous side effects. A long process characterized by high levels of regulation, pharmaceutical bioresearch determines whether particular DNA, RNA, or other protein biomolecules will be affected by a particular medicine, and if so, whether drugs will have a positive outcome for the patient.

Learn more! Click to view Douglas Scientific’s recent App Note, “Evaluation of a New Accurate, Automated and Cost-effective Approach for the Analysis of Pharmacologically Important Copy Number Variation” or poster.

Higher Throughput Means Greater Testing Flexibility

By speeding up assay processing, pharmaceutical research groups can conduct additional testing and increase the number of tests that can be processed at a given time. Using the Douglas Scientific Array Tape microplate replacement, Nexar® in-line liquid handling for inline processing of sample and reagents, Soellex® Thermal Cycler, and Araya® inline fluorescence detection, you’ll increase sample throughput using fully automated processing.

Real time nucleic acid processing and other amplification processes have been shown to have higher repeatability in the lab and to offer a higher level of throughput using the Nexar inline liquid handling and assay processing system. Your lab technicians will enjoy a completely automated experience using inline processing and amplification.

Applications for pharmaceutical research include:
  • Drug metabolism genotyping
  • SNP genotyping
  • End-point PCR
  • Isothermal DNA amplification
  • Real-time nucleic acid amplification
  • Multiplex assays
  • Drug metabolism
  • Drug resistant SNP detection

*The products of Douglas Scientific LLC are not FDA-approved for use in clinical diagnostic procedures.