Human Gene Expression Sensitivity Analysis
Author Information
Author(s): Hao Pei, Zheng Siyuan, Ping Jie, Tu Kang, Gieger Christian, Wang-Sattler Rui, Zhong Yang, Li Yixue
Primary Institution: Bioinformatics Center, Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
Hypothesis
Human genes can be categorized into sensitive and robust groups based on their expression responses to external perturbations.
Conclusion
The study reveals that robust genes are involved in essential cellular processes, while sensitive genes respond diversely to environmental changes.
Supporting Evidence
- Robust genes are involved in essential cellular processes.
- Sensitive genes perform diverse functions in response to environmental changes.
- Robust genes have higher vertex degree and betweenness in protein networks compared to sensitive genes.
- Sensitive genes are regulated by more transcription factors than robust genes.
Takeaway
Some genes are strong and stable, while others are more sensitive and change easily when things around them change.
Methodology
A meta-analysis method was developed to study gene expression sensitivity using data from the GEO database.
Potential Biases
The reliance on specific microarray platforms may introduce bias in the results.
Limitations
The study may lack diversity in experimental samples and does not represent all human genes.
Participant Demographics
Human gene expression data from various biological samples.
Statistical Information
P-Value
2.2e-16
Statistical Significance
p < 2.2e-16
Digital Object Identifier (DOI)
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