ArticleJournal of mathematical biology2014
DNA topology in chromosomes: a quantitative survey and its physiological implications.
Article in Journal of mathematical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- In vitro reconstitution of chromatin domains shows a role for nucleosome positioning in 3D genome organization.Nature genetics · 2024Article
- Hi-CO: 3D genome structure analysis with nucleosome resolution.Nature protocols · 2021Article
- Topological polymorphism of nucleosome fibers and folding of chromatin.Biophysical journal · 2021Review
- Modelling and DNA topology of compact 2-start and 1-start chromatin fibres.Nucleic acids research · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using a simple geometric model, we propose a general method for computing the linking number of the DNA embedded in chromatin fibers. The relevance of the method is reviewed through the single molecule experiments that have been performed in vitro with magnetic tweezers. We compute the linking number of the DNA in the manifold conformational states of the nucleosome which have been evidenced in these experiments and discuss the functional dynamics of chromosomes in the light of these manifold states.
Indexed as
Identifiers
23179130What OpenQuestion holds
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.