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Profound influence of microarray scanner characteristics on gene expression ratios: analysis and procedure for
Heidi Lyng1, Azadeh Badiee, Debbie H Svendsrud
1Department of Biophysics, The Norwegian Radium Hospital, Oslo, Norway. heidi.lyng@labmed.uio.no
BMC Genomics
|March 17, 2004
Summary
Optimizing photomultiplier tube (PMT) voltage in microarray scanning is crucial for accurate gene expression ratios. This study defines an optimal scanning procedure and develops an algorithm to correct saturated spot intensities, improving data accuracy and yield.
Area of Science:
- Genomics
- Bioinformatics
- Biotechnology
Background:
- Gene expression data is collected using spotted cDNA microarrays and fluorescence scanners.
- Scanner settings like laser power and photomultiplier tube (PMT) voltage influence spot intensities.
- Accurate gene expression ratios must be independent of these scanner settings.
Purpose of the Study:
- Investigate the relationship between PMT voltage, spot intensities, and expression ratios.
- Define an optimal scanning procedure for microarray data acquisition.
- Develop methods to improve the accuracy and reliability of gene expression data.
Main Methods:
- Analyzed spot intensities and expression ratios across different scanners at varying PMT voltages.
- Identified a limited usable intensity range (200-50,000 mean spot intensity) where ratios are independent of PMT voltage.
- Developed an algorithm to correct for saturated pixel intensities within spots.
Main Results:
- Expression ratios were only independent of PMT voltage within a specific, limited intensity range.
- High and low intensities outside this range led to significant errors in expression ratios.
- The developed algorithm successfully corrected saturated spot intensities, extending the usable data range.
Conclusions:
- Recommended increasing PMT voltage to capture weaker spots, allowing brighter spots to saturate.
- Proposed acquiring a second image set with lower PMT settings to correct saturated spots using the algorithm.
- This dual-scan approach enhances data accuracy and increases the number of reliable data points per experiment.