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Information analysis of Fis binding sites
P N Hengen1, S L Bartram, L E Stewart
1Laboratory of Mathematical Biology, National Cancer Institute, Frederick Cancer Research and Development Center, PO Box B, Building 469, Room 144, Frederick, MD 21702-1201, USA.
Nucleic Acids Research
|February 28, 1998
Summary
Factor for Inversion Stimulation (Fis) binding sites were identified using information analysis. This method accurately predicted Fis DNA binding sites, confirming its utility in genetic regulation studies.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Factor for Inversion Stimulation (Fis) is a key regulator in various genetic systems, initially identified in the bacteriophage Mu DNA inversion system.
- Understanding Fis binding site requirements is crucial for deciphering its regulatory mechanisms.
Purpose of the Study:
- To determine the base frequency conservation necessary for Fis to locate its DNA binding sites.
- To evaluate the efficacy of information theory-based methods for predicting Fis binding sites.
Main Methods:
- Collected and analyzed 60 experimentally defined wild-type Fis DNA binding sequences.
- Generated a sequence logo to visualize base conservation and potential base contacts.
- Employed an information theory-based weight matrix for scanning various genetic regions (fis, nrd, tgt/sec, gin).
- Validated predicted sites using DNA mobility shift (gel shift) experiments.
Main Results:
- Sequence logo analysis revealed significant base contacts consistent with experimental data.
- Information analysis identified previously unknown Fis sites in fis, nrd, tgt/sec, and gin, supported by existing biochemical data.
- Gel shift experiments confirmed Fis binding at predicted sites near Salmonella typhimurium hin and P1 cin sites, as well as within nrd and tgt/sec promoters.
- A previously reported Fis site in aldB was not confirmed by information analysis or gel shift, indicating its inaccuracy.
Conclusions:
- Information analysis is a powerful and reliable tool for predicting Fis DNA binding sites.
- The study validates the predictive power of information theory in identifying functional genetic elements.
- This approach aids in understanding and characterizing Fis-mediated genetic regulation.