English

Multiple Lac-mediated loops revealed by Bayesian statistics and tethered particle motion

Biological Physics 2015-11-10 v2 Data Analysis, Statistics and Probability Biomolecules

Abstract

The bacterial transcription factor LacI loops DNA by binding to two separate locations on the DNA simultaneously. Despite being one of the best-studied model systems for transcriptional regulation, the number and conformations of loop structures accessible to LacI remain unclear, though the importance of multiple co-existing loops has been implicated in interactions between LacI and other cellular regulators of gene expression. To probe this issue, we have developed a new analysis method for tethered particle motion, a versatile and commonly-used in vitro single-molecule technique. Our method, vbTPM, performs variational Bayesian inference in hidden Markov models. It learns the number of distinct states (i.e., DNA-protein conformations) directly from tethered particle motion data with better resolution than existing methods, while easily correcting for common experimental artifacts. Studying short (roughly 100 bp) LacI-mediated loops, we provide evidence for three distinct loop structures, more than previously reported in single-molecule studies. Moreover, our results confirm that changes in LacI conformation and DNA binding topology both contribute to the repertoire of LacI-mediated loops formed in vitro, and provide qualitatively new input for models of looping and transcriptional regulation. We expect vbTPM to be broadly useful for probing complex protein-nucleic acid interactions.

Keywords

Cite

@article{arxiv.1402.0894,
  title  = {Multiple Lac-mediated loops revealed by Bayesian statistics and tethered particle motion},
  author = {Stephanie Johnson and Jan-Willem van de Meent and Rob Phillips and Chris H. Wiggins and Martin Lindén},
  journal= {arXiv preprint arXiv:1402.0894},
  year   = {2015}
}

Comments

34 pages, 25 figures, including Supporting information. To appear in Nucleic Acids Research. Accompanying open-source software: http://sourceforge.net/projects/vbtpm/

R2 v1 2026-06-22T03:01:30.109Z