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Related Experiment Videos

Microarray scanner calibration curves: characteristics and implications.

Leming Shi1, Weida Tong, Zhenqiang Su

  • 1National Center for Toxicological Research, U.S. Food and Drug Administration, 3900 NCTR Road, Jefferson, Arkansas 72079, USA. leming.shi@fda.hhs.gov

BMC Bioinformatics
|July 20, 2005
PubMed
Summary

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This summary is machine-generated.

Microarray calibration curves are nonlinear, impacting mRNA abundance accuracy. Optimal scanner gain settings and a new ratio calculation method are proposed to improve data reliability.

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Microarray analysis assumes linear dye concentration to fluorescence intensity.
  • Real-world calibration curves often exhibit nonlinearity.

Purpose of the Study:

  • Evaluate nonlinear calibration characteristics of Cy5 and Cy3 dyes.
  • Assess the impact of nonlinearity on mRNA abundance measurements.
  • Propose methods to correct ratio bias in microarray data.

Main Methods:

  • Scanning microarray calibration slides at 18 PMT gains.
  • Analyzing calibration curves for Cy5 and Cy3.
  • Utilizing simulation results.
  • Demonstrating Lowess normalization effects.
  • Proposing a new ratio calculation method.

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Main Results:

  • Calibration curves are nonlinear at high and low intensities.
  • Nonlinearity varies with PMT gain and differs between Cy5 and Cy3.
  • Cy3 channel has higher background intensity.
  • Nonlinearity causes ratio underestimation and intensity-dependent bias.
  • Lowess normalization improves reproducibility but not accuracy.

Conclusions:

  • Scan microarrays at fixed, optimal PMT gains for maximal linearity.
  • Normalization improves reproducibility but not accuracy.
  • A new ratio calculation method is proposed for bias correction.