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Status |
Public on Dec 31, 2008 |
Title |
Comparison of consecutive microarray platforms |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by array
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Summary |
The MAQC project demonstrated that microarrays with comparable content show inter- and intra-platform reproducibility. However, since the content of gene databases still increases, the development of new generations of microarrays covering new content is mandatory. To better understand the potential challenges updated microarray content might pose on clinical and biological projects we developed a methodology consisting of in silico analyses combined with performance analysis using real biological samples. Here we clearly demonstrate that not only oligonucleotide design but also database content and annotation strongly influence comparability and performance of subsequent generations of microarrays. Additionally, using human blood samples and purified T lymphocyte subsets as two independent examples, we show that a performance analysis using biological samples is crucial for the assessment of consistency and differences. This study provides an important resource assisting investigators in comparing microarrays of updated content especially when working in a clinical or regulatory setting. Keywords: microarray comparison
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Overall design |
Samples performed on different microarray platforms were compared. We therefore used Skleroderma and Bacteremia samples to compare technical replicates on consecutive array platforms.
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Contributor(s) |
Eggle D, Debey-Pascher S, Beyer M, Schultze JL |
Citation missing |
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Submission date |
Mar 25, 2008 |
Last update date |
Jan 18, 2013 |
Contact name |
Joachim Schultze |
E-mail(s) |
[email protected]
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Organization name |
LIMES (Life and Medical Sciences Center Genomics and Immunoregulation)
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Department |
Genomics and Immunoregulation
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Street address |
Carl-Troll-Strasse 31
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City |
Bonn |
State/province |
NRW |
ZIP/Postal code |
53115 |
Country |
Germany |
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Platforms (1) |
GPL6097 |
Illumina human-6 v1.0 expression beadchip |
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Samples (2) |
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Relations |
BioProject |
PRJNA107237 |