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Wu WS and Chen BS  (2009) Identifying Stress Transcription Factors Using Gene Expression and TF-Gene Association Data. Bioinform Biol Insights 1():137-45

Abstract: Unicellular organisms such as yeasts have evolved to survive environmental stresses by rapidly reorganizing the genomic expression program to meet the challenges of harsh environments. The complex adaptation mechanisms to stress remain to be elucidated. In this study, we developed Stress Transcription Factor Identification Algorithm (STFIA), which integrates gene expression and TF-gene association data to identify the stress transcription factors (TFs) of six kinds of stresses. We identified some general stress TFs that are in response to various stresses, and some specific stress TFs that are in response to one specific stress. The biological significance of our findings is validated by the literature. We found that a small number of TFs may be sufficient to control a wide variety of expression patterns in yeast under different stresses. Two implications can be inferred from this observation. First, the adaptation mechanisms to different stresses may have a bow-tie structure. Second, there may exist extensive regulatory cross-talk among different stress responses. In conclusion, this study proposes a network of the regulators of stress responses and their mechanism of action.

Status: Published Type: Journal Article PubMed ID: 20066130

Topics addressed in this paper

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Topics Topics not linked to Genes Genes linked to topics (#1 - 10 )
ARR1 DAL80 DAL81 GAT1 GCN4 GLN3 HOT1 HSF1 IFH1 INO2
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Topics Genes linked to topics (#11 - 20 )
INO4 LEU3 MET28 MET31 MET4 MSN2 MSN4 PDR3 RPN4 SFP1
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Topics Genes linked to topics (#21 - 24 )
SKN7 STP1 STP2 YAP1
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