Identifying Gene Regulatory Modules of Heat Shock Response in Yeast
Author Information
Author(s): Wu Wei-Sheng, Li Wen-Hsiung
Primary Institution: University of Chicago
Hypothesis
The study aims to develop a method for reconstructing gene regulatory modules (GRMs) of heat shock response in yeast using dynamic time series gene expression data.
Conclusion
The Heat-Inducible Module Identification Algorithm (HIMIA) effectively reconstructs GRMs of yeast heat shock response, identifying 29 GRMs and suggesting crosstalk with other cellular processes.
Supporting Evidence
- HIMIA identified 29 GRMs containing 182 heat-inducible genes regulated by 12 heat-responsive TFs.
- 108 of the 182 genes and 7 of the 12 TFs are known to be involved in heat shock response.
- HIMIA outperformed four existing module inference tools in identifying stress-responsive TFs.
Takeaway
Scientists created a new tool to find groups of genes that work together when yeast gets too hot, helping us understand how yeast survives heat stress.
Methodology
The study used a dynamic system model-based method called HIMIA, integrating various data sources including TFBS, mutant, ChIP-chip, and heat shock time series gene expression data.
Limitations
The study may include false positives among the identified heat-inducible genes, and further experimental validation is needed for uncharacterized genes.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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