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Related Experiment Videos

Arabidopsis transcript profiling on Affymetrix GeneChip arrays.

Lars Hennig1, Margit Menges, James A H Murray

  • 1Institute of Plant Sciences, Swiss Federal Institute of Technology, ETH Zentrum, Universitätstrasse 2, 8092 Zürich, Switzerland. lars.hennig@ipw.biol.ethz.ch

Plant Molecular Biology
|March 11, 2004
PubMed
Summary

This study compared two DNA microarrays for plant research, finding high reproducibility in transcript profiling results. Careful data interpretation and filtering are crucial, even with comparable array performance.

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Area of Science:

  • * Plant molecular biology
  • * Genomics and transcriptomics

Background:

  • * DNA microarrays are essential research tools for analyzing gene expression.
  • * Reproducibility of transcript profiling across different microarray platforms with varying probe sets requires investigation.

Purpose of the Study:

  • * To compare the performance and reproducibility of two commonly used plant research microarrays: Affymetrix Arabidopsis AG and ATH1 arrays.
  • * To assess the comparability of transcript profiling data generated by microarrays with different probe sets.

Main Methods:

  • * Parallel hybridization of 21 different RNA samples to Affymetrix Arabidopsis AG (8,000+ probe sets) and ATH1 (22,000+ probe sets) arrays.
  • * Analysis focused on over 7,300 overlapping targets detected by both arrays.
  • * Statistical comparison of signal and signal log ratio values, considering Affymetrix MAS5.0 calls (present, absent, changed).

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Main Results:

  • * High reproducibility was observed for transcript profiling between the AG and ATH1 arrays for most genes.
  • * Signal and signal log ratio values were largely similar despite different probe sets.
  • * Genes flagged as absent or unchanged by MAS5.0 showed lower expression pattern conservation.
  • * Approximately 300 genes exhibited significantly different measurements between the two arrays.
  • * Data indicated that analysis is largely independent of probe sets, but results need careful interpretation.

Conclusions:

  • * Results from ATH1 and AG arrays are highly comparable, suggesting probe set differences have limited impact on overall transcript profiling.
  • * Emphasizes the necessity of employing appropriate filtering strategies, such as MAS5.0 present/change calls, over solely relying on signal values.
  • * Highlights the importance of careful interpretation of RNA profiling data due to potential discrepancies in measurements for a subset of genes.