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Three-dimensional organization of the human interphase nucleus: Experiments compared to simulations.

By T.A. (Tobias) Knoch, C. (Christian) Münkel, W. (Waldemar) Waldeck and J. (Jörg) Langowski


Despite the successful linear sequencing of the human genome its three-dimensional structure is widely\ud unknown, although it is important for gene regulation and replication. For a long time the interphase nucleus has\ud been viewed as a 'spaghetti soup' of DNA without much internal structure, except during cell division. Only\ud recently has it become apparent that chromosomes occupy distinct 'territories' also in interphase. Two models for\ud the detailed folding of the 30 nm chromatin fibre within these territories are under debate: In the Random-\ud Walk/Giant-Loop-model big loops of 3 to 5 Mbp are attached to a non-DNA backbone. In the Multi-Loop-\ud Subcompartment (MLS) model loops of around 120 kbp are forming rosettes which are also interconnected by\ud the chromatin fibre. Here we show with a comparison between simulations and experiments an interdisciplinary\ud approach leading to a determination of the three-dimensional organization of the human genome: \ud \ud For the predictions of experiments various models of human interphase chromosomes and the whole cell nucleus\ud were simulated with Monte Carlo and Brownian Dynamics methods. Only the MLS-model leads to the\ud formation of non-overlapping chromosome territories and distinct functional and dynamic subcompartments in\ud agreement with experiments. Fluorescence in situ hybridization is used for the specific marking of chromosome\ud arms and pairs of small chromosomal DNA regions. The labelling is visualized with confocal laser scanning\ud microscopy followed by image reconstruction procedures. Chromosome arms show only small overlap and\ud globular substructures as predicted by the MLS-model. The spatial distances between pairs of genomic markers\ud as function of their genomic separation result in a MLS-model with loop and linker sizes around 126 kbp. With\ud the development of GFP-fusion-proteins it is possible to study the chromatin distribution and dynamics resulting\ud from cell cycle, treatment by chemicals or radiation in vivo. The chromatin distributions are similar to those\ud found in the simulation of whole cell nuclei of the MLS-model. Fractal analysis is especially suited to quantify\ud the unordered and non-euclidean chromatin distribution of the nucleus. The dynamic behaviour of the chromatin\ud structure and the diffusion of particles in the nucleus are also closely connected to the fractal dimension. Fractal\ud analysis of the simulations reveal the multi-fractality of chromosomes. First fractal analysis of chromatin\ud distributions in vivo result in significant differences for different morphologies and might favour a MLS-modellike\ud chromatin distribution. Simulations of fragment distributions based on double strand breakage after carbonion\ud irradiation differ in different models. Here again a comparison with experiments favours a MLS-model

Topics: Genome, genomics, genome organization, genome architecture, structural sequencing, architectural sequencing, systems genomics, coevolution, holistic genetics, genome mechanics, genome function, genetics, gene, regulation, replication, transcription, repair, homologous recombination, simultaneous co-transfection, cell, division, mitosis, metaphase, interphase, cell nucleus, nuclear structure, nuclear organization, chromatin density, distribution, nuclear morphology, chromosome territories, subchromosomal domains, chromatin loop, aggregates, chromatin rosettes, chromatin loops, chromatin fibre, chromatin density, persistence length, spatial, distance measurement, histones, H1.0, H2A, H2B, H3, H4, mH2A1.2, DNA sequence, complete sequenced, genomes, molecular transport, obstructed diffusion, anomalous diffusion, percolation, long-range correlations, fractal analysis, scaling analysis, exact yard-stick dimension, box-counting dimension, lacunarity dimension, local nuclear dimension, nuclear diffuseness, parallel super computing, grid computing, volunteer computing, Brownian Dynamics, Monte Carlo, fluorescence in situ hybridization, confocal laser scanning microscopy, fluorescence correlation spectroscopy, super resolution microscopy, spatial precision distance microscopy, autofluorescent, proteins, CFP, GFP, YFP, DsRed, fusion protein, in vivo labelling
Year: 2000
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