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

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.

[1]  Krishnendu Gongopadhyay,et al.  Knot Theory and Its Applications , 2016 .

[2]  Y. Diao,et al.  Random walks and polygons in tight confinement , 2014 .

[3]  Daniel Capurso,et al.  Reproducibility of 3D chromatin configuration reconstructions. , 2014, Biostatistics.

[4]  P. Lichter,et al.  Recollections of a scientific journey published in human genetics: from chromosome territories to interphase cytogenetics and comparative genome hybridization , 2014, Human Genetics.

[5]  Kim-Chuan Toh,et al.  3D Chromosome Modeling with Semi-Definite Programming and Hi-C Data , 2013, J. Comput. Biol..

[6]  M. Vázquez,et al.  New biologically motivated knot table. , 2013, Biochemical Society transactions.

[7]  Mario Nicodemi,et al.  Complexity of chromatin folding is captured by the strings and binders switch model , 2012, Proceedings of the National Academy of Sciences.

[8]  M. Vázquez,et al.  The effects of density on the topological structure of the mitochondrial DNA from trypanosomes , 2012, Journal of mathematical biology.

[9]  M. Vázquez,et al.  Bounds for minimum step number of knots confined to tubes in the simple cubic lattice , 2012 .

[10]  J. Arsuaga,et al.  Bounds for the minimum step number of knots confined to slabs in the simple cubic lattice , 2012 .

[11]  Reza Kalhor,et al.  Genome architectures revealed by tethered chromosome conformation capture and population-based modeling , 2011, Nature Biotechnology.

[12]  Mathieu Blanchette,et al.  Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling , 2011, BMC Bioinformatics.

[13]  Enzo Orlandini,et al.  Multiscale entanglement in ring polymers under spherical confinement. , 2011, Physical review letters.

[14]  J. Arsuaga,et al.  Modeling of chromosome intermingling by partially overlapping uniform random polygons , 2011, Journal of mathematical biology.

[15]  Dieter W. Heermann,et al.  Diffusion-Driven Looping Provides a Consistent Framework for Chromatin Organization , 2010, PloS one.

[16]  I. Amit,et al.  Comprehensive mapping of long range interactions reveals folding principles of the human genome , 2011 .

[17]  Y. Ruan,et al.  ChIP‐based methods for the identification of long‐range chromatin interactions , 2009, Journal of cellular biochemistry.

[18]  Ralf Everaers,et al.  Structure and Dynamics of Interphase Chromosomes , 2008, PLoS Comput. Biol..

[19]  B. Johansson,et al.  The impact of translocations and gene fusions on cancer causation , 2007, Nature Reviews Cancer.

[20]  K. Sandhu,et al.  Circular chromosome conformation capture (4C) uncovers extensive networks of epigenetically regulated intra- and interchromosomal interactions , 2006, Nature Genetics.

[21]  C. Nusbaum,et al.  Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements. , 2006, Genome research.

[22]  D. Sumners,et al.  Knotting of random ring polymers in confined spaces. , 2005, The Journal of chemical physics.

[23]  Peter Virnau,et al.  Knots in globule and coil phases of a model polyethylene. , 2005, Journal of the American Chemical Society.

[24]  Javier Arsuaga,et al.  DNA knots reveal a chiral organization of DNA in phage capsids. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[25]  C Cremer,et al.  Radial arrangement of chromosome territories in human cell nuclei: a computer model approach based on gene density indicates a probabilistic global positioning code. , 2004, Biophysical journal.

[26]  T. Deguchi,et al.  Knot complexity and the probability of random knotting. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  M. Vázquez,et al.  Knotting probability of DNA molecules confined in restricted volumes: DNA knotting in phage capsids , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[28]  J. Dekker,et al.  Capturing Chromosome Conformation , 2002, Science.

[29]  N. Cozzarelli,et al.  Closing the ring: links between SMC proteins and chromosome partitioning, condensation, and supercoiling. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[30]  R Eils,et al.  Compartmentalization of interphase chromosomes observed in simulation and experiment. , 1999, Journal of molecular biology.

[31]  B. Trask,et al.  Evidence for the organization of chromatin in megabase pair-sized loops arranged along a random walk path in the human G0/G1 interphase nucleus , 1995, The Journal of cell biology.

[32]  J. Sikorav,et al.  Kinetics of chromosome condensation in the presence of topoisomerases: a phantom chain model. , 1994, Biophysical journal.

[33]  Y. Diao MINIMAL KNOTTED POLYGONS ON THE CUBIC LATTICE , 1993 .

[34]  S. Whittington,et al.  The BFACF algorithm and knotted polygons , 1991 .

[35]  P. Borst,et al.  Why kinetoplast DNA networks? , 1991, Trends in genetics : TIG.

[36]  R. Israëls Self avoiding random walks. , 1991 .

[37]  E. Shakhnovich,et al.  The role of topological constraints in the kinetics of collapse of macromolecules , 1988 .

[38]  D. Hooper,et al.  Knotting of DNA molecules isolated from deletion mutants of intact bacteriophage P4. , 1985, Nucleic acids research.

[39]  L. Hirth,et al.  Electron microscopic studies of the different topological forms of the cauliflower mosaic virus DNA: knotted encapsidated DNA and nuclear minichromosome. , 1983, The EMBO journal.

[40]  Sergio Caracciolo,et al.  A new Monte-Carlo approach to the critical properties of self-avoiding random walks , 1983 .

[41]  Sergio Caracciolo,et al.  Polymers and g|φ|4 theory in four dimensions , 1983 .

[42]  J. Wang,et al.  Knotted DNA from bacteriophage capsids. , 1981, Proceedings of the National Academy of Sciences of the United States of America.

[43]  L. Simpson,et al.  Isolation and characterization of kinetoplast DNA from Leishmania tarentolae. , 1971, Journal of molecular biology.