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Published September 15, 2014 | Supplemental Material + Published + Submitted
Journal Article Open

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

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 coexisting 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.

Additional Information

© 2014 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Received February 3, 2014; Revised May 22, 2014; Accepted June 11, 2014. First published online: August 12, 2014. We thank members of the Phillips lab for helpful discussions and advice, Jason Kahn for helpful discussions about his lab's work in relation to ours and the Elf and Meiners labs for sharing (18,70) before publication. Funding: National Science Foundation through a graduate fellowship to S.J.; a Rubicon fellowship [680-50-1016] from the Netherlands Organization for Scientific Research to J.W.M.; the National Institutes of Health [DP1 OD000217A (Director's Pioneer Award), R01 GM085286, R01 GM085286-01S1 and 1 U54 CA143869 (Northwestern PSOC Center)], and the Foundation Pierre Gilles de Gennes to R.P.; an NIH National Centers for Biomedical Computing (U54CA121852) to C.H.W.; the Wenner- Gren foundations, the foundations of the Royal Swedish Academy of Sciences, and the Foundation for strategic research (SSF) via the Center for Biomembrane research to M.L. Conflict of interest statement. None declared.

Attached Files

Published - Nucl._Acids_Res.-2014-Johnson-10265-77.pdf

Submitted - 1402.0894v1.pdf

Supplemental Material - gku563_Supplementary_Data.zip

Supplemental Material - nar-00310-m-2014-File001.pdf

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August 20, 2023
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