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MWG BioTech experiments for cross-platform study

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NIAID Data Ecosystem2026-03-07 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4834
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Gene expression microarrays have made a profound impact in biomedical research. The diversity of platforms and analytical methods has made comparison of data from multiple platforms very challenging. In this study, we describe a framework for comparisons across platforms and laboratories. We have attempted to include nearly all the available commercial and “in-house” platforms. Using probe sequences matched at the exon level improved consistency of measurements across the different microarray platforms compared to annotation-based matches. Generally, consistency was good for highly expressed genes, and variable for genes with lower expression values as confirmed by QRT-PCR. Concordance of measurements was higher between laboratories on the same platform than across platforms. We demonstrate that, after stringent pre-processing, commercial arrays were more consistent than “in-house” arrays, and by most measures, one-dye platforms were more consistent than two-dye platforms. Keywords: cross platform microarrays RNA samples used were aliquoted from two pools of samples: C57/B6 adult mouse retina (MR) and Swiss-Webster postnatal day one (P1) mouse cortex (MC). The mouse cortex was used as a reference sample for the dual-dye platforms.Five replicates of each sample were used to assess the degree of variation in the expression data within each platform.
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2012-03-17
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