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Related Experiment Videos

Gene expression analysis and clinical diagnosis.

A K Sandvik1, B K Alsberg, K G Nørsett

  • 1Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim. arne.sandvik@ntnu.no

Clinica Chimica Acta; International Journal of Clinical Chemistry
|September 20, 2005
PubMed
Summary

Large-scale gene expression data offers new diagnostic test potential. Robust assays require standardized protocols and quality controls for reliable clinical use.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Gene expression data from mRNA abundance measurements are emerging as a foundation for novel diagnostic tests.
  • These data offer insights into disease mechanisms and potential molecular markers for diagnosis, prognosis, and treatment response.

Purpose of the Study:

  • To highlight the growing importance of gene expression measurements in clinical medicine.
  • To underscore the need for technical advancements to support the increased use of these diagnostic tools.

Main Methods:

  • Quantitative reverse transcription polymerase chain reaction (RT-PCR) assays are currently used for disease diagnosis.
  • The study anticipates a significant increase in the application of gene expression measurements in clinical settings.

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Main Results:

  • Current quantitative RT-PCR assays are applied in diagnosing both malignant and non-malignant conditions.
  • The integration of gene expression measurements into clinical practice is projected to expand substantially.

Conclusions:

  • Technical challenges must be addressed to ensure assay robustness.
  • Standardized protocols and quality controls are crucial for reliable data and inter-laboratory reproducibility.