Validation of cDNA microarray gene expression data obtained from linearly amplified RNA
Open Access
- 1 December 2003
- journal article
- research article
- Published by BMJ in Molecular Pathology
- Vol. 56 (6) , 307-312
- https://doi.org/10.1136/mp.56.6.307
Abstract
Background: DNA microarray technology has permitted the analysis of global gene expression profiles for several diseases, including cancer. However, standard hybridisation and detection protocols require micrograms of mRNA for microarray analysis, limiting broader application of this technology to small excisional biopsies, needle biopsies, and/or microdissected tissue samples. Therefore, linear amplification protocols to increase the amount of RNA have been developed. The correlation between the results of microarray experiments derived from non-amplified RNA and amplified samples needs to be evaluated in detail. Methods: Total RNA was amplified and replicate hybridisation experiments were performed with linearly amplified (aRNA) and non-amplified mRNA from tonsillar B cells and the SUDHL-6 cell line using cDNA microarrays containing approximately 4500 genes. The results of microarray differential expression using either source of RNA (mRNA or aRNA) were also compared with those found using real time quantitative reverse transcription polymerase chain reaction (QRT-PCR). Results: Microarray experiments using aRNA generated reproducible data displaying only small differences to data obtained from non-amplified mRNA. The quality of the starting total RNA template and the concentration of the promoter primer used to synthesise cDNA were crucial components of the linear amplification reaction. Approximately 80% of selected upregulated and downregulated genes identified by microarray analysis using linearly amplified RNA were confirmed by QRT-PCR using non-amplified mRNA as the starting template. Conclusions: Linear RNA amplification methods can be used to generate high fidelity microarray expression data of comparable quality to data generated by microarray methods that use non-amplified mRNA samples.Keywords
This publication has 27 references indexed in Scilit:
- Microarray Analysis of B-Cell Lymphoma Cell Lines with the t(14;18)The Journal of Molecular Diagnostics, 2002
- Fluorescence PCR Quantification of Cyclin D1 ExpressionThe Journal of Molecular Diagnostics, 2002
- Expression Profiling of Renal Epithelial NeoplasmsThe American Journal of Pathology, 2001
- Comparative Genome-Scale Analysis of Gene Expression Profiles in T Cell Lymphoma Cells during Malignant Progression Using a Complementary DNA MicroarrayThe American Journal of Pathology, 2001
- Validation of Array-Based Gene Expression Profiles by Real-Time (Kinetic) RT-PCRThe Journal of Molecular Diagnostics, 2001
- Systematic variation in gene expression patterns in human cancer cell linesNature Genetics, 2000
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingNature, 2000
- Expression monitoring by hybridization to high-density oligonucleotide arraysNature Biotechnology, 1996
- Use of a cDNA microarray to analyse gene expression patterns in human cancerNature Genetics, 1996
- Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA MicroarrayScience, 1995