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Updated: Jul 8, 2026
09:27
DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
Published on: March 15, 2011
Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate
Leming Shi1, Roger G Perkins, Hong Fang
1National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCRT Road, Jefferson, AR 72079, USA. leming.shi@fda.hhs.gov
Current Opinion in Biotechnology
|December 25, 2007
Summary
The MicroArray Quality Control (MAQC) project assesses microarray gene expression profiling for clinical use. This FDA-led initiative aims to ensure reliability for biomarker discovery and personalized medicine applications.
Area of Science:
- Biomedical research
- Molecular biology
- Genomics
Background:
- Microarray gene expression profiling is widely used in biomedical research.
- Clinical applications require higher standards for validity and reliability.
- Potential benefits include faster drug approval and personalized medicine.
Purpose of the Study:
- To assess the achievable technical performance of microarrays.
- To evaluate the capabilities and limitations of microarray data analysis methods.
- To support the transition of microarrays into clinical applications.
Main Methods:
- The FDA-led MicroArray Quality Control (MAQC) project.
- Widespread collaboration among researchers and regulatory bodies.
- Standardization and validation of microarray technologies and data analysis.
Main Results:
- Data not available in the abstract.
- Data not available in the abstract.
- Data not available in the abstract.
Conclusions:
- Microarray technology holds significant promise for clinical applications.
- Ensuring reliability is crucial for biomarker discovery and personalized medicine.
- The MAQC project is essential for advancing microarray use in healthcare.
Related Concept Videos
01:05Quality Control
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Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
01:19Quality Assurance
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02:34DNA Microarrays
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
01:15Data Validation
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include: