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DNA fluctuations reveal the size and dynamics of topological domains.
- Source :
-
PNAS nexus [PNAS Nexus] 2022 Nov 22; Vol. 1 (5), pp. pgac268. Date of Electronic Publication: 2022 Nov 22 (Print Publication: 2022). - Publication Year :
- 2022
-
Abstract
- DNA supercoiling is a key regulatory mechanism that orchestrates DNA readout, recombination, and genome maintenance. DNA-binding proteins often mediate these processes by bringing two distant DNA sites together, thereby inducing (transient) topological domains. In order to understand the dynamics and molecular architecture of protein-induced topological domains in DNA, quantitative and time-resolved approaches are required. Here, we present a methodology to determine the size and dynamics of topological domains in supercoiled DNA in real time and at the single-molecule level. Our approach is based on quantifying the extension fluctuations-in addition to the mean extension-of supercoiled DNA in magnetic tweezers (MT). Using a combination of high-speed MT experiments, Monte Carlo simulations, and analytical theory, we map out the dependence of DNA extension fluctuations as a function of supercoiling density and external force. We find that in the plectonemic regime, the extension variance increases linearly with increasing supercoiling density and show how this enables us to determine the formation and size of topological domains. In addition, we demonstrate how the transient (partial) dissociation of DNA-bridging proteins results in the dynamic sampling of different topological states, which allows us to deduce the torsional stiffness of the plectonemic state and the kinetics of protein-plectoneme interactions. We expect our results to further the understanding and optimization of magnetic tweezer measurements and to enable quantification of the dynamics and reaction pathways of DNA processing enzymes in the context of physiologically relevant forces and supercoiling densities.<br /> (© The Author(s) 2022. Published by Oxford University Press on behalf of National Academy of Sciences.)
Details
- Language :
- English
- ISSN :
- 2752-6542
- Volume :
- 1
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- PNAS nexus
- Publication Type :
- Academic Journal
- Accession number :
- 36712371
- Full Text :
- https://doi.org/10.1093/pnasnexus/pgac268