Identifying Genes Expressed in Human and Mouse Tissues
Author Information
Author(s): Pao Sheng-Ying, Lin Win-Li, Hwang Ming-Jing
Primary Institution: Institute of Biomedical Engineering, National Taiwan University
Hypothesis
Can we identify differentially expressed genes in human and mouse tissues using bioinformatics approaches?
Conclusion
The study successfully identified tissue-specific expression patterns for human and mouse genes, revealing both similarities and significant differences.
Supporting Evidence
- Over 8 million human and mouse ESTs were organized into 157 human and 108 mouse tissue categories.
- Statistical tests identified genes differentially expressed in various tissues.
- Comparative analysis showed that tissue-specific orthologs tend to have similar expression patterns.
Takeaway
The researchers looked at genes in humans and mice to see which ones are active in different body parts, finding that some genes work similarly while others do not.
Methodology
The study analyzed over 8 million expressed sequence tags (ESTs) from human and mouse tissues using statistical tests to identify differentially expressed genes.
Potential Biases
Potential inaccuracies in ortholog pairing and the exclusion of certain libraries may introduce bias.
Limitations
Some EST libraries were derived from unspecified tissues, which could affect the results.
Statistical Information
P-Value
1E-6
Statistical Significance
p<1E-6
Digital Object Identifier (DOI)
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