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Related Experiment Videos

Validation of cDNA microarray gene expression data obtained from linearly amplified RNA.

S D Jenson1, R S Robetorye, S D Bohling

  • 1Department of Pathology, University of Utah Health Sciences Centre, Salt Lake City, UT 84132, USA.

Molecular Pathology : MP
|December 3, 2003
PubMed
Summary

Linear RNA amplification allows high-quality microarray gene expression analysis from limited samples. This method provides reproducible results comparable to non-amplified mRNA, expanding microarray applications.

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Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • DNA microarray technology enables global gene expression profiling for diseases like cancer.
  • Standard protocols require large mRNA amounts, limiting analysis of small tissue samples.
  • Linear amplification protocols were developed to increase RNA yield for broader microarray applications.

Purpose of the Study:

  • To evaluate the correlation between microarray gene expression data from amplified and non-amplified RNA.
  • To assess the feasibility of using amplified RNA (aRNA) for microarray analysis.

Main Methods:

  • Total RNA was linearly amplified (aRNA) and compared with non-amplified mRNA from cell lines.
  • cDNA microarrays with ~4500 genes were used for hybridisation experiments.

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  • Results were validated against real-time quantitative reverse transcription polymerase chain reaction (QRT-PCR).

    • Main Results:

    • aRNA generated reproducible microarray data with minimal differences compared to non-amplified mRNA.
    • Starting RNA quality and primer concentration were critical for linear amplification success.
    • QRT-PCR confirmed approximately 80% of genes identified as upregulated or downregulated by aRNA microarray analysis.

    Conclusions:

    • Linear RNA amplification is a viable method for generating high-fidelity microarray expression data.
    • Amplified RNA (aRNA) yields data comparable in quality to non-amplified mRNA samples.
    • This technique enhances the utility of microarrays for limited biological samples.