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A comparison of Affymetrix gene expression arrays
Mark D Robinson1, Terence P Speed
1Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3050, Australia. mrobinson@wehi.edu.au
This study compares three Affymetrix GeneChip arrays for gene expression profiling. While probe-level differences exist, gene-level performance and differential expression detection are similar across Human Genome U133 Plus 2.0 (U133), Human Exon 1.0 ST (HuEx), and Human Gene 1.0 ST (HuGene) arrays.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Affymetrix GeneChips are crucial tools in biological research.
- Recent design changes necessitate performance evaluation of human gene expression arrays.
Purpose of the Study:
- To assess and compare the performance of three Affymetrix human gene expression arrays: Human Genome U133 Plus 2.0 (U133), Human Exon 1.0 ST (HuEx), and Human Gene 1.0 ST (HuGene).
Main Methods:
- Analysis of probe-, exon-, and gene-level reproducibility using technical and biological replicates.
- Evaluation of detection rates and ROC curves using mixed human tissue samples.
- Comparison of gene expression data across the three array platforms.
Main Results:
- The U133 array shows smaller probe-level variances due to larger feature sizes.
- HuGene arrays provide gene-level summaries with variances similar to U133, despite more probes.
- HuEx arrays exhibit lower gene-level reproducibility and high background expression; U133 data is less affected by biological variation.
- All arrays demonstrate high concordance in detecting differentially expressed genes, with HuEx and HuGene showing greater overlap.
Conclusions:
- Gene-level reproducibility and differential expression detection are comparable across U133, HuEx, and HuGene arrays, despite probe-level variations.
- HuEx arrays offer broad exonic content measurement but show poorer reproducibility for genes with fewer exons.
- HuGene arrays perform well, focusing on well-annotated genomic content.
- The U133 array performs comparably to newer designs for commonly measured genes, despite not measuring full transcript lengths.
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