Comparing Microarray Platforms for Gene Expression in Monocytes and Macrophages
Author Information
Author(s): Maouche Seraya, Poirier Odette, Godefroy Tiphaine, Olaso Robert, Gut Ivo, Collet Jean-Phillipe, Montalescot Gilles, Cambien François
Primary Institution: INSERM UMR S525, Faculté de Médecine Pierre et Marie Curie, Université Paris VI
Hypothesis
How do Affymetrix and Illumina microarray platforms compare in assessing gene expression changes between resting monocytes and macrophages?
Conclusion
Both microarray platforms delivered similar results in identifying relevant gene categories, despite differences in the number of differentially expressed genes.
Supporting Evidence
- Both platforms identified a high overlap in differentially expressed genes.
- More than 70% of genes in the DEG lists were also found in a reference list.
- The study supports the MAQC project's conclusion about the influence of criteria on DEG list concordance.
Takeaway
The study looked at two types of tests to see how well they could find differences in genes when comparing two types of blood cells. They found that both tests worked pretty well.
Methodology
RNA samples from 86 individuals were hybridized to both Affymetrix and Illumina microarrays to compare gene expression.
Potential Biases
Potential discrepancies in gene expression results could arise from differences in probe design and normalization methods between platforms.
Limitations
The study had a small sample size for each cell type, which may limit the generalizability of the findings.
Participant Demographics
Patients with symptoms of acute coronary syndrome undergoing coronary angiography.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website