ArticleScientific reports2017
Two loci single particle trajectories analysis: constructing a first passage time statistics of local chromatin exploration.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- No specific impact of ultra-high dose rates on radiation-induced chromosome rearrangements.Scientific reports · 2025Article
- Insulation between adjacent TADs is controlled by the width of their boundaries through distinct mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Chromatin phase separated nanoregions explored by polymer cross-linker models and reconstructed from single particle trajectories.PLoS computational biology · 2024Article
- A new assay capturing chromosome fusions shows a protection trade-off at telomeres and NHEJ vulnerability to low-density ionizing radiation.Nucleic acids research · 2021Article
- Tracking and interpreting long-range chromatin interactions with super-resolution live-cell imaging.Current opinion in cell biology · 2021Review
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stochastic single particle trajectories are used to explore the local chromatin organization. We present here a statistical analysis of the first contact time distributions between two tagged loci recorded experimentally. First, we extract the association and dissociation times from data for various genomic distances between loci, and we show that the looping time occurs in confined nanometer regions. Second, we characterize the looping time distribution for two loci in the presence of multiple DNA damages. Finally, we construct a polymer model, that accounts for the local chromatin organization before and after a double-stranded DNA break (DSB), to estimate the level of chromatin decompaction. This novel passage time statistics method allows extracting transient dynamic at scales varying from one to few hundreds of nanometers, it predicts the local changes in the number of binding molecules following DSB and can be used to characterize the local dynamic of the chromatin.
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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.