| Title | Comparison of the latest commercial short and long oligonucleotide microarray technologies. | 
| Publication Type | Journal Article | 
| Year of Publication | 2006 | 
| Authors | de Reyniès A, Geromin D, Cayuela J-M, Petel F, Dessen P, Sigaux F, Rickman DS | 
| Journal | BMC Genomics | 
| Volume | 7 | 
| Pagination | 51 | 
| Date Published | 2006 Mar 15 | 
| ISSN | 1471-2164 | 
| Keywords | Cell Line, Tumor, Cluster Analysis, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Oligonucleotide Array Sequence Analysis, Polymerase Chain Reaction, Reproducibility of Results | 
| Abstract | BACKGROUND: We compared the relative precision and accuracy of expression measurements obtained from three different state-of-the-art commercial short and long-oligonucleotide microarray platforms (Affymetrix GeneChip, GE Healthcare CodeLink and Agilent Technologies). The design of the comparison was chosen to judge each platform in the context of a multi-project program. RESULTS: All wet-lab experiments and raw data acquisitions were performed independently by each commercial platform. Intra-platform reproducibility was assessed using measurements from all available targets. Inter-platform comparisons of relative signal intensities were based on a common and non-redundant set of roughly 3,400 targets chosen for their unique correspondence toward a single transcript. Despite many examples of strong similarities we found several areas of discrepancy between the different platforms. CONCLUSION: We found a higher level of reproducibility from one-color based microarrays (Affymetrix and CodeLink) compared to the two-color arrays from Agilent. Overall, Affymetrix data had a slightly higher level of concordance with sample-matched real-time quantitative reverse-transcriptase polymerase chain reaction (QRT-PCR) data particularly for detecting small changes in gene expression levels. | 
| DOI | 10.1186/1471-2164-7-51 | 
| Alternate Journal | BMC Genomics | 
| PubMed ID | 16539734 | 
| PubMed Central ID | PMC1473202 | 
Related Faculty: 
    
          David Rickman, Ph.D.      
 
          