Physical Modeling of Dynamic Coupling between Chromosomal Loci

Biophysical Journal
Thomas J LampoAndrew J Spakowitz

Abstract

The motion of chromosomal DNA is essential to many biological processes, including segregation, transcriptional regulation, recombination, and packaging. Physical understanding of these processes would be dramatically enhanced through predictive, quantitative modeling of chromosome dynamics of multiple loci. Using a polymer dynamics framework, we develop a prediction for the correlation in the velocities of two loci on a single chromosome or otherwise connected by chromatin. These predictions reveal that the signature of correlated motion between two loci can be identified by varying the lag time between locus position measurements. In general, this theory predicts that as the lag time interval increases, the dual-loci dynamic behavior transitions from being completely uncorrelated to behaving as an effective single locus. This transition corresponds to the timescale of the stress communication between loci through the intervening segment. This relatively simple framework makes quantitative predictions based on a single timescale fit parameter that can be directly compared to the in vivo motion of fluorescently labeled chromosome loci. Furthermore, this theoretical framework enables the detection of dynamically coupled chromoso...Continue Reading

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Citations

Jul 28, 2018·Soft Matter·K PolovnikovM V Tamm
Jul 11, 2018·Proceedings of the National Academy of Sciences of the United States of America·Michele Di PierroJosé N Onuchic
Jan 20, 2018·Physical Review. E·Marco GherardiMarco Cosentino Lagomarsino
Mar 16, 2018·Physical Review Letters·K E PolovnikovM V Tamm
Sep 17, 2019·Biochemical and Biophysical Research Communications·Yuan-Chu Lu, Yi-Ren Chang
Feb 20, 2021·Physical Review Letters·Di Jia, Murugappan Muthukumar
Nov 20, 2020·Cell Systems·Christopher P JohnstoneKate E Galloway
Dec 15, 2020·Current Opinion in Cell Biology·Hugo B BrandãoAnders S Hansen
Dec 8, 2021·Soft Matter·Christina M CaragineAlexandra Zidovska

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