Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Aug 21:2:48.
doi: 10.3389/fmolb.2015.00048. eCollection 2015.

Current theoretical models fail to predict the topological complexity of the human genome

Affiliations

Current theoretical models fail to predict the topological complexity of the human genome

Javier Arsuaga et al. Front Mol Biosci. .

Abstract

Understanding the folding of the human genome is a key challenge of modern structural biology. The emergence of chromatin conformation capture assays (e.g., Hi-C) has revolutionized chromosome biology and provided new insights into the three dimensional structure of the genome. The experimental data are highly complex and need to be analyzed with quantitative tools. It has been argued that the data obtained from Hi-C assays are consistent with a fractal organization of the genome. A key characteristic of the fractal globule is the lack of topological complexity (knotting or inter-linking). However, the absence of topological complexity contradicts results from polymer physics showing that the entanglement of long linear polymers in a confined volume increases rapidly with the length and with decreasing volume. In vivo and in vitro assays support this claim in some biological systems. We simulate knotted lattice polygons confined inside a sphere and demonstrate that their contact frequencies agree with the human Hi-C data. We conclude that the topological complexity of the human genome cannot be inferred from current Hi-C data.

Keywords: BFACF; DNA knotting; Hi-C; chromosome organization; equilibrium globule; lattice models.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Computational methods used to generate BFACF globules. (A) BFACF moves: the 0-move (left) does not change the length of the conformation; the (+2)- and (-2)-moves (right) can add/remove an edge. (B) From left to right we illustrate a trefoil knot 31 smoothly embedded in R3, a minimal step lattice realization of 31, and the resulting BFACF globule. This BFACF globule is a 4000-step embedding of the knot within a sphere of radius 10.5 obtained using the modified BFACF algorithm described in Section 2. (C) Log-log plot of the contact probability as a function of contour length. The data are obtained as an average over 10,000 sampled BFACF globules with knot type 31. The slope of the linear fit is in excellent agreement with the experimental data of Lieberman-Aiden et al. (2009). (D) Contact probability curves for connected sums of trefoils (31)n for n = 1, 20, 40, 60, 100, with slopes −1.085±0.003, −1.079±0.003, −0.919±0.011, −0.656±0.013, −0.558±0.035, respectively.

Similar articles

Cited by

References

    1. Aragão de Carvalho C., Caracciolo S. (1983). A new Monte-Carlo approach to critical properties of self-avoiding random walks. J. Phys. 44, 323–331.
    1. Aragão de Carvalho C., Caracciolo S., Frolich J. (1983). Polymers and g|ϕ4| theory in four dimensions. Nucl. Phys. B 215, 209–248.
    1. Arsuaga J., Vázquez M., Trigueros S., Sumners D., Roca J. (2002). Knotting probability of DNA molecules confined in restricted volumes: DNA knotting in phage capsids. Proc. Natl. Acad. Sci. U.S.A. 99, 5373–5377. 10.1073/pnas.032095099 - DOI - PMC - PubMed
    1. Arsuaga J., Vazquez M., McGuirk P., Trigueros S., Sumners D., Roca J. (2005). DNA knots reveal a chiral organization of DNA in phage capsids. Proc. Natl. Acad. Sci. U.S.A. 102, 9165–9169. 10.1073/pnas.0409323102 - DOI - PMC - PubMed
    1. Barbieri M., Chotalia M., Fraser J., Lavitas L. M., Dostie J., Pombo A., et al. . (2012). Complexity of chromatin folding is captured by the strings and binders switch model. Proc. Natl. Acad. Sci. U.S.A. 109, 16173–16178. 10.1073/pnas.1204799109 - DOI - PMC - PubMed