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Updated: Feb 18, 2026

Application of Biolayer Interferometry BLI for Studying Protein-Protein Interactions in Transcription
Published on: July 26, 2019
Conformational heterogeneity and bubble dynamics in single bacterial transcription initiation complexes
Diego Duchi1, Kristofer Gryte1, Nicole C Robb1
1Gene Machines Group, Biological Physics Research Unit, Clarendon Laboratory, Department of Physics, University of Oxford, Oxford OX1 3PU, UK.
Researchers studied transcription initiation in E. coli using single-molecule Förster resonance energy transfer (smFRET). They discovered two stable states and large-scale transitions in RNA polymerase-DNA complexes, revealing key dynamics in gene regulation.
Area of Science:
- Molecular Biology
- Biophysics
- Gene Regulation
Background:
- Transcription initiation is a critical gene regulation step.
- RNA polymerase (RNAP) binding to promoter DNA forms a closed complex, followed by DNA strand separation to form an open complex.
- The precise conformational changes and influencing factors during transcription initiation remain unclear.
Purpose of the Study:
- To investigate the conformational landscape and transitions during transcription initiation.
- To elucidate the dynamics of RNA polymerase-DNA complexes during open complex formation.
Main Methods:
- Single-molecule Förster resonance energy transfer (smFRET) was employed on immobilized Escherichia coli transcription open complexes.
- Mutational studies were conducted to assess the impact of specific RNAP regions on DNA bubble dynamics.
Main Results:
- Two stable states were identified in RNAP-DNA complexes, corresponding to closed and partially open DNA conformations.
- Large-scale transitions were observed where the transcription bubble fluctuated between open and closed states on a 0.1 s timescale.
- The σ70 region 3.2 of RNAP was found to significantly influence transcription bubble dynamics.
Conclusions:
- The findings reveal distinct dynamic states and transitions during transcription initiation.
- A bend-load-open model is supported for the sequence of events leading to transcription bubble opening.
- These insights advance our understanding of gene regulation mechanisms.
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