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Qualitative assessment of gene expression in affymetrix genechip arrays

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  • Nagarajan, Radhakrishnan
  • Upreti, Meenakshi

Abstract

Affymetrix Genechip microarrays are used widely to determine the simultaneous expression of genes in a given biological paradigm. Probes on the Genechip array are atomic entities which by definition are randomly distributed across the array and in turn govern the gene expression. In the present study, we make several interesting observations. We show that there is considerable correlation between the probe intensities across the array which defy the independence assumption. While the mechanism behind such correlations is unclear, we show that scaling behavior and the profiles of perfect match (PM) as well as mismatch (MM) probes are similar and immune-to-background subtraction. We believe that the observed correlations are possibly an outcome of inherent non-stationarities or patchiness in the array devoid of biological significance. This is demonstrated by inspecting their scaling behavior and profiles of the PM and MM probe intensities obtained from publicly available Genechip arrays from three eukaryotic genomes, namely: Drosophila melanogaster (fruit fly), Homo sapiens (humans) and Mus musculus (house mouse) across distinct biological paradigms and across laboratories, with and without background subtraction. The fluctuation functions were estimated using detrended fluctuation analysis (DFA) with fourth-order polynomial detrending. The results presented in this study provide new insights into correlation signatures of PM and MM probe intensities and suggests the choice of DFA as a tool for qualitative assessment of Affymetrix Genechip microarrays prior to their analysis. A more detailed investigation is necessary in order to understand the source of these correlations.

Suggested Citation

  • Nagarajan, Radhakrishnan & Upreti, Meenakshi, 2007. "Qualitative assessment of gene expression in affymetrix genechip arrays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 486-496.
  • Handle: RePEc:eee:phsmap:v:373:y:2007:i:c:p:486-496
    DOI: 10.1016/j.physa.2006.06.004
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    References listed on IDEAS

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    1. Shehadeh, Lina A. & Liebovitch, Larry S. & Jirsa, Viktor K., 2006. "Relationships between the global structure of genetic networks and mRNA levels measured by cDNA microarrays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 297-314.
    2. Kantelhardt, Jan W & Koscielny-Bunde, Eva & Rego, Henio H.A & Havlin, Shlomo & Bunde, Armin, 2001. "Detecting long-range correlations with detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 441-454.
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