Comparing Gene Expression Data from Different Technologies
Author Information
Author(s): Li Shuyu, Li Yiqun Helen, Wei Tao, Su Eric Wen, Duffin Kevin, Liao Birong
Primary Institution: Lilly Research Laboratories, Eli Lilly and Company
Hypothesis
Can gene expression data from SAGE and microarray technologies be compared effectively?
Conclusion
The study found significant discrepancies in tissue expression patterns between SAGE and microarray platforms, primarily due to mapping errors and differences in gene variants.
Supporting Evidence
- 42-54% of genes showed significant correlations in tissue expression patterns between SAGE and GeneChip.
- 30-40% of genes had positively correlated expression patterns.
- 10-15% of genes had negatively correlated expression patterns.
- The discrepancies were not likely due to tissue heterogeneity or microarray probe design.
Takeaway
This study looked at how genes behave in different tissues using two methods, and found that the results can be very different because of how the data is collected and analyzed.
Methodology
The study compared gene expression patterns from SAGE and microarray datasets using correlation coefficients and statistical tests.
Potential Biases
There may be biases due to the different biological samples used in SAGE and microarray technologies.
Limitations
The study is limited by the availability of data from public repositories and potential inaccuracies in gene mapping.
Statistical Information
P-Value
0.05
Statistical Significance
p=0.05
Digital Object Identifier (DOI)
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