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Published May 25, 2009 | Supplemental Material + Published
Journal Article Open

Concentration and Length Dependence of DNA Looping in Transcriptional Regulation

Abstract

In many cases, transcriptional regulation involves the binding of transcription factors at sites on the DNA that are not immediately adjacent to the promoter of interest. This action at a distance is often mediated by the formation of DNA loops: Binding at two or more sites on the DNA results in the formation of a loop, which can bring the transcription factor into the immediate neighborhood of the relevant promoter. These processes are important in settings ranging from the historic bacterial examples (bacterial metabolism and the lytic-lysogeny decision in bacteriophage), to the modern concept of gene regulation to regulatory processes central to pattern formation during development of multicellular organisms. Though there have been a variety of insights into the combinatorial aspects of transcriptional control, the mechanism of DNA looping as an agent of combinatorial control in both prokaryotes and eukaryotes remains unclear. We use single-molecule techniques to dissect DNA looping in the lac operon. In particular, we measure the propensity for DNA looping by the Lac repressor as a function of the concentration of repressor protein and as a function of the distance between repressor binding sites. As with earlier single-molecule studies, we find (at least) two distinct looped states and demonstrate that the presence of these two states depends both upon the concentration of repressor protein and the distance between the two repressor binding sites. We find that loops form even at interoperator spacings considerably shorter than the DNA persistence length, without the intervention of any other proteins to prebend the DNA. The concentration measurements also permit us to use a simple statistical mechanical model of DNA loop formation to determine the free energy of DNA looping, or equivalently, the J-factor for looping.

Additional Information

© 2009 Han et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received February 4, 2009; Accepted April 6, 2009; Published May 25, 2009. Funding: RP and LH acknowledge the support of the Keck Foundation, National Science Foundation grant Nos. CMS-0301657 and CMS-0404031, and the National Institutes of Health Directors Pioneer Award grant No. DP1 OD000217. HG is grateful for support from both the NSF funded NIRT and the NIH Directors Pioneer Award. PCN, KBT, and JFB were partially supported by NSF grants DGE- 0221664, DMR04-25780, and DMR-0404674. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We are extremely grateful to a number of people who have been generous with their ideas, time and materials. Jon Widom has given us help of all kinds since we first began down the path of trying to make these measurements. Jeff Gelles has continuously helped us along with insights from the very beginning when one of us (RP) didn't even know what DIC microscopy was. Similarly, Laura Finzi and David Dunlap were kind enough to host one of us (LH) in their lab and to provide constant encouragement, advice and insights. Bob Schleif has patiently advised us on many aspects of this project and has served as a looping sage for many years. Kathleen Matthews and Jason Kahn have both been extremely generous with both ideas and in providing us protein. Stephanie Johnson has been a constant contributor to the development of these experiments in the Phillips group. We also thank Sankar Adhya, David Bensimon, Nily Dan, Paul Grayson, Heun Jin Lee, John Maddocks, Keir Neuman, Tom Perkins, Steve Quake, Andy Spakowitz, Terence Strick, Paul Wiggins, Jie Yan, and Sylvain Zorman for many discussions. Author Contributions Conceived and designed the experiments: LH RP. Performed the experiments: LH. Analyzed the data: LH HGG KBT PCN RP. Contributed reagents/materials/analysis tools: LH HGG SB KBT JFB PCN. Wrote the paper: LH HGG PCN RP.

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Published - Han2009p6823PLoS_ONE.pdf

Supplemental Material - pone.0005621.s001.pdf

Supplemental Material - pone.0005621.s002.mov

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August 20, 2023
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October 19, 2023