ArticleBiophysical journal2016
Physical Modeling of Dynamic Coupling between Chromosomal Loci.
Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Active processes shape and move the genome and nucleoplasm.Current opinion in genetics & development · 2026Review
- Centromeres and telomeres as rheological probes of the human cell nucleus.Biophysical journal · 2026Article
- Article
- Transcription-dependent mobility of single genes and genome-wide motions in live human cells.Nature communications · 2024Article
- How Transcription Factor Clusters Shape the Transcriptional Landscape.Biomolecules · 2024Review
- Motorized chain models of the ideal chromosome.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Leveraging polymer modeling to reconstruct chromatin connectivity from live images.Biophysical journal · 2023Article
- Stochastic motion and transcriptional dynamics of pairs of distal DNA loci on a compacted chromosome.Science (New York, N.Y.) · 2023Article
- Single-chromosome dynamics reveals locus-dependent dynamics and chromosome territory orientation.Journal of cell science · 2023Article
- Stochastic motion and transcriptional dynamics of pairs of distal DNA loci on a compacted chromosome.bioRxiv : the preprint server for biology · 2023Article
- Diffusion and distal linkages govern interchromosomal dynamics during meiotic prophase.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Viscoelasticity, Like Forces, Plays a Role in Mechanotransduction.Frontiers in cell and developmental biology · 2022Review
- Tracking and interpreting long-range chromatin interactions with super-resolution live-cell imaging.Current opinion in cell biology · 2021Review
- Article
- The rich inner life of the cell nucleus: dynamic organization, active flows, and emergent rheology.Biophysical reviews · 2020Review
- Chromatin Viscoelasticity Measured by Local Dynamic Analysis.Biophysical journal · 2020Article
- The self-stirred genome: large-scale chromatin dynamics, its biophysical origins and implications.Current opinion in genetics & development · 2020Review
- Chain organization of human interphase chromosome determines the spatiotemporal dynamics of chromatin loci.PLoS computational biology · 2018Article
- Anomalous diffusion, spatial coherence, and viscoelasticity from the energy landscape of human chromosomes.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Two loci single particle trajectories analysis: constructing a first passage time statistics of local chromatin exploration.Scientific reports · 2017Article
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Authors and funding
3 authors.
Funding
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 chromosome regions from the signature of their correlated motion.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.