ArticleBulletin of mathematical biology2013
The influence of spatial variation in chromatin density determined by X-ray tomograms on the time to find DNA binding sites.
Article in Bulletin of mathematical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Cryo-soft X-ray tomography: using soft X-rays to explore the ultrastructure of whole cells.Emerging topics in life sciences · 2018Article
- Chromatin organization regulates viral egress dynamics.Scientific reports · 2017Article
- Challenges of Integrating Stochastic Dynamics and Cryo-Electron Tomograms in Whole-Cell Simulations.The journal of physical chemistry. B · 2017Article
- Steric Effects Induce Geometric Remodeling of Actin Bundles in Filopodia.Biophysical journal · 2016Article
- Imaging and characterizing cells using tomography.Archives of biochemistry and biophysics · 2015Review
- Three-dimensional imaging of human stem cells using soft X-ray tomography.Journal of the Royal Society, Interface · 2015Article
- The chromatin fiber: multiscale problems and approaches.Current opinion in structural biology · 2015Review
- Multimodal nanoparticles as alignment and correlation markers in fluorescence/soft X-ray cryo-microscopy/tomography of nucleoplasmic reticulum and apoptosis in mammalian cells.Ultramicroscopy · 2014Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
In this work, we examine how volume exclusion caused by regions of high chromatin density might influence the time required for proteins to find specific DNA binding sites. The spatial variation of chromatin density within mouse olfactory sensory neurons is determined from soft X-ray tomography reconstructions of five nuclei. We show that there is a division of the nuclear space into regions of low-density euchromatin and high-density heterochromatin. Volume exclusion experienced by a diffusing protein caused by this varying density of chromatin is modeled by a repulsive potential. The value of the potential at a given point in space is chosen to be proportional to the density of chromatin at that location. The constant of proportionality, called the volume exclusivity, provides a model parameter that determines the strength of volume exclusion. Numerical simulations demonstrate that the mean time for a protein to locate a binding site localized in euchromatin is minimized for a finite, nonzero volume exclusivity. For binding sites in heterochromatin, the mean time is minimized when the volume exclusivity is zero (the protein experiences no volume exclusion). An analytical theory is developed to explain these results. The theory suggests that for binding sites in euchromatin there is an optimal level of volume exclusivity that balances a reduction in the volume searched in finding the binding site, with the height of effective potential barriers the protein must cross during the search process.
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