Abstract
The spatial organisation of the genome in the cell nucleus has emerged as a key element to understand gene function. A wealth of molecular and microscopic information has been accumulated, resulting in a variety of – sometimes contradictory – models of nuclear architecture. So far, however, a large part of this structural information and in consequence also the models derived from them are ‘qualitative’. In this overview, a brief introduction will be given into quantitative experimental and modelling approaches to large scale nuclear genome architecture in human cells. As a biomedical application example, the use of a quantitative computer model of the 3D architecture allowed to explore different implications of nuclear structure on chromosomal aberrations. In addition, we shall present two novel examples for quantitative computer modelling: (1) The impact of SC 35 splicing domains on nuclear genome structure; (2) The dynamics of large scale nuclear genome structure in a Brownian motion model. Finally, we shall discuss some perspectives to extend quantitative nuclear structure analysis to the nanoscale.
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This work was supported by grants from the Deutsche Forschungsgemeinschaft and the European Union. For discussions and other help we especially thank Manuel Gunkel, Rainer Kaufmann and Thomas Cremer.
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Hübschmann, D., Kepper, N., Cremer, C., Kreth, G. (2011). Quantitative Approaches to Nuclear Architecture Analysis and Modelling. In: Adams, N., Freemont, P. (eds) Advances in Nuclear Architecture. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9899-3_3
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