Close
Help
Need Help?





JOURNAL

Bioinformatics and Biology Insights

377,530 Journal Article Views | Journal Analytics

Identifying Stress Transcription Factors Using Gene Expression and TF-Gene Association Data

Submit a Paper



Publication Date: 16 Oct 2007

Journal: Bioinformatics and Biology Insights

Citation: Bioinformatics and Biology Insights 2007:1 137-145

Wei-Sheng Wu and Bor-Sen Chen

Lab of Control and Systems Biology, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, 300, Taiwan.

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 bowtie 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.


Downloads

PDF  (748.38 KB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML




Our Service Promise

  • Prompt Processing (3 Weeks to Editorial Decision)
  • Fair, Independent Peer Review
  • High Visibility & Extensive Indexing
What Your Colleagues Say About Bioinformatics and Biology Insights
Bioinformatics and Biology Insights helps to reach all people with the latest results on research which directly helps them and with their needs. Three of our co-authors are from Burkina Faso, the malaria holoendemic region our research is based on, and serving as motivation for all our efforts for better treatment of malaria.  It is good to be social and it is good to promote science world-wide through open access.
Dr Thomas Dandekar (University of Wurzburg, European Molecular Biology Laboratory, Heidelberg, Germany)
More Testimonials

Quick Links




Follow Us We make it easy to find new research papers.




SUBJECT HUBS
Author Survey Results
author_survey_results
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.
See Our Results