Over the last decade, the introduction of microarray technology has had a profound impact on gene expression research. The publication of studies with dissimilar or altogether contradictory results, obtained using different microarray platforms to analyze identical RNA samples, has raised concerns about the reliability of this technology. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and data analysis issues. Expression data on four titration pools from two distinct reference RNA samples were generated at multiple test sites using a variety of microarray-based and alternative technology platforms. Here we describe the experimental design and probe mapping efforts behind the MAQC project. We show intraplatform consistency across test sites as well as a high level of interplatform concordance in terms of genes identified as differentially expressed. This study provides a resource that represents an important first step toward establishing a framework for the use of microarrays in clinical and regulatory settings.

We have evaluated the performance characteristics of three quantitative gene expression technologies and correlated their expression measurements to those of five commercial microarray platforms, based on the MicroArray Quality Control (MAQC) data set. The limit of detection, assay range, precision, accuracy and fold-change correlations were assessed for 997 TaqMan Gene Expression Assays, 205 Standardized RT (Sta)RT-PCR assays and 244 QuantiGene assays. TaqMan is a registered trademark of Roche Molecular Systems, Inc. We observed high correlation between quantitative gene expression values and microarray platform results and found few discordant measurements among all platforms. The main cause of variability was differences in probe sequence and thus target location. A second source of variability was the limited and variable sensitivity of the different microarray platforms for detecting weakly expressed genes, which affected interplatform and intersite reproducibility of differentially expressed genes. From this analysis, we conclude that the MAQC microarray data set has been validated by alternative quantitative gene expression platforms thus supporting the use of microarray platforms for the quantitative characterization of gene expression.

We evaluated the branched-chain DNA (bDNA) assay QuantiGene Reagent System to measure RNA in formalin-fixed, paraffin-embedded (FFPE) tissues. The QuantiGene Reagent System does not require RNA isolation, avoids enzymatic preamplification, and has a simple workflow. Five selected genes were measured by bDNA assay; quantitative polymerase chain reaction (qPCR) was used as a reference method. Mixed-effect statistical models were used to partition the overall variance into components attributable to xenograft, sample, and assay. For FFPE tissues, the coefficients of reliability were significantly higher for the bDNA assay (93-100%) than for qPCR (82.4-95%). Correlations between qPCR(FROZEN), the gold standard, and bDNA(FFPE) ranged from 0.60 to 0.94, similar to those from qPCR(FROZEN) and qPCR(FFPE). Additionally, the sensitivity of the bDNA assay in tissue homogenates was 10-fold higher than in purified RNA. In 9- to 13-year-old blocks with poor RNA quality, the bDNA assay allowed the correct identification of the overexpression of known cancer genes. In conclusion, the QuantiGene Reagent System is considerably more reliable, reproducible, and sensitive than qPCR, providing an alternative method for the measurement of gene expression in FFPE tissues. It also appears to be well suited for the clinical analysis of FFPE tissues with diagnostic or prognostic gene expression biomarker panels for use in patient treatment and management.

Formalin-fixed, paraffin-embedded (FFPE) tissues represent an important source of archival materials for gene expression profiling. We report here the development of a modified branch DNA assay that allows direct quantification of messenger RNA (mRNA) transcripts in homogenates from FFPE tissue sections without the need for RNA isolation and reverse transcription into cDNA. Formalin fixation essentially has no effect on the branch DNA assay, and RNA degradation only marginally reduces the signal by 2- to 3-fold. Under the same conditions, formalin fixation and RNA degradation greatly reduces real-time reverse transcription PCR (RT-PCR) efficiency, reducing signals by as much as 15- and 1400-fold, respectively. Although both technologies can generate biologically meaningful expression profiles from FFPE human lung tumor specimens, the branch DNA assay is more sensitive than real-time RT-PCR under the conditions tested. Our results therefore suggest that the branch DNA assay is an ideal tool for retrospective analysis of gene expression in archival tissues.

Objectives: Genetic rearrangement of TMPRSS2 regulatory sequences and coding sequences of the ERG gene has been detected in nearly half of prostate cancers. Quantitative assays to detect such TMPRSS2-ERG gene fusion have been limited to real time PCR techniques that rely on reverse transcriptase-based amplification. We sought to develop a novel assay that uses branched DNA (bDNA) technology to measure TMPRSS2-ERG fusion. Methods:Branched DNA probes were designed to detect TMPRSS2-ERG gene fusion in prostate cancer cell lines. Non-quantitative, nested reverse transcription (RT)-PCR and fluorescence in situ hybridization (FISH) were used to ascertain TMPRSS2-ERG gene fusion status in prostate tissues. Results:The branched DNA assay detected TMPRSS2-ERG gene fusion from less than 200 picogram of prostate cancer RNA, whereas more than 600 picogram of RNA was required for fusion gene detection by one step real time RT-PCR. In evaluation of clinical prostatectomy specimens, the branched DNA assay showed concordant detectable fusion signal in all 9 clinical samples that had fusion detected by nested RT-PCR or FISH. Moreover, branched DNA detected gene fusion in 2 of 16 prostate cancer tissue specimens that was not detected by FISH nor nested RT-PCR.Conclusions: Our findings demonstrate a branched DNA assay that is effective for detection of TMPRSS2-ERG gene fusion in prostate cancer clinical specimens, thus providing an alternative method to ascertain the TMPRSS2-ERG gene fusion in human prostate cancer tissue.