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Updated: Jan 29, 2026

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
Published on: February 11, 2019
Mapping DNA sequence to transcription factor binding energy in vivo
Stephanie L Barnes1, Nathan M Belliveau1, William T Ireland2
1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, United States of America.
Researchers developed a new method to map DNA sequences to transcription factor binding energy, enabling precise prediction and design of gene regulation. This advances understanding of transcriptional regulation in living cells.
Area of Science:
- Molecular Biology
- Systems Biology
- Biophysics
Background:
- Transcriptional regulation is crucial but understanding gene networks and cellular mechanisms remains challenging.
- Quantifying transcription factor (TF) and RNA polymerase binding energetics in vivo is difficult.
Purpose of the Study:
- To develop a strategy for dissecting transcriptional regulatory sequences using in vivo methods.
- To create quantitative models mapping DNA sequence to TF-DNA binding energy.
- To explore the relationship between sequence-energy mapping and transcriptional regulation mechanisms.
Main Methods:
- Utilized in vivo massively parallel reporter assays (MPRAs).
- Formulated quantitative models to predict TF-DNA binding energy from DNA sequence.
- Validated models by predicting binding energies within 1 kBT of measured values.
Main Results:
- Achieved high accuracy in predicting TF-DNA binding energies.
- Demonstrated the utility of sequence-energy mapping for designing specific gene induction responses.
- Showcased the ability to analyze effects of amino acid mutations on DNA sequence preference.
- Determined how regulatory context influences TF sequence specificity.
Conclusions:
- The developed strategy and quantitative models provide a powerful tool for dissecting transcriptional regulation.
- This approach enables precise prediction and design of gene regulatory functions in vivo.
- Advances the understanding of biophysical mechanisms underlying transcriptional control.
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