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Transporter and ion channel gene expression after Caco-2 cell differentiation using 2 different microarray

Christopher P Landowski1, Pascale Anderle, Duxin Sun

  • 1Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USA.

The AAPS Journal
|March 12, 2005
PubMed
Summary
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Comparing gene expression arrays in Caco-2 cells revealed that despite different conditions, both custom spotted oligonucleotide arrays and Affymetrix GeneChip arrays provided similar results for most transporter and ion channel mRNA levels.

Area of Science:

  • Cell Biology
  • Genomics
  • Molecular Biology

Background:

  • Caco-2 cells are a widely used model for intestinal studies.
  • Previous mRNA expression profiling used different array technologies and conditions.
  • Variability in experimental setups can impact study conclusions.

Purpose of the Study:

  • To compare gene expression profiles from two distinct array platforms in Caco-2 cells.
  • To assess the reliability of conclusions drawn from independent studies using these arrays.
  • To focus on changes in transporter and ion channel mRNA during Caco-2 cell differentiation.

Main Methods:

  • Utilized custom-designed spotted oligonucleotide arrays and Affymetrix GeneChip arrays.
  • Analyzed mRNA expression profiles of Caco-2 cells under differentiation.

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  • Focused on genes with common probes across both array platforms.

    • Main Results:

    • Significant expression changes were observed for 78 genes common to both arrays upon differentiation.
    • 18 genes were upregulated and 36 were downregulated.
    • Correlation was high for highly expressed genes (r=0.75) and low for lowly expressed genes (r=0.08).
    • Overall correlation across platforms was moderate (r=0.45).

    Conclusions:

    • Despite differences in array technology and experimental conditions, both platforms yielded largely similar results for Caco-2 cell mRNA expression.
    • Conclusions regarding transporter and ion channel mRNA changes during differentiation are generally valid across platforms.
    • Lowly expressed genes may show greater variability between array platforms.