Systematic identification of yeast cell cycle transcription factors using multiple data sources
2008

Identifying Yeast Cell Cycle Transcription Factors

publication Evidence: high

Author Information

Author(s): Wu Wei-Sheng, Li Wen-Hsiung

Primary Institution: University of Chicago

Hypothesis

To identify the cell cycle transcription factors (TFs) that regulate the expression of cell cycle-regulated genes in yeast.

Conclusion

The method developed is effective for identifying yeast cell cycle TFs and cell cycle-regulated genes, with many predictions validated by literature.

Supporting Evidence

  • The method identified 17 cell cycle TFs, 12 of which are known.
  • The predictions are supported by previous experimental or computational studies.
  • A high confidence TF-gene regulatory matrix was derived as a byproduct of the method.
  • The method performed better than four existing methods for identifying yeast cell cycle TFs.

Takeaway

The researchers found important proteins that help control when genes are turned on during the yeast cell cycle, which is like a schedule for when the yeast does its work.

Methodology

The study integrated ChIP-chip, mutant, TFBS, and cell cycle gene expression data to identify cell cycle TFs.

Potential Biases

Potential bias from relying on existing datasets and the assumptions made in the model.

Limitations

The method may miss some TF-promoter binding events due to the limitations of ChIP-chip data.

Statistical Information

P-Value

< 10-11

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2105-9-522

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