101 Exploring the 3D spatial organization of the genome |
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| Authors: | Frank Alber |
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| Affiliation: | 1. Molecular and Computational Biology, University of Southern California , 1050 Childs Way, RRI 413E, Los Angeles , CA , 90089 , USA Phone: (213) 740-0778 alber@usc.edu |
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| Abstract: | Knowledge about the 3D organization of the genome will offer great insights into how cells retrieve and process the genetic information. Knowing the spatial probability distributions of individual genes will provide insights into gene regulatory and replication processes, and fill in the missing links between epigenomics, functional genomics, and structural biology. We will discuss an approach to determine 3D genome structures and structure–function maps of genomes by integrating divers types of data. To address the challenge of modeling highly variable genome structures, we discuss a population-based modeling approach, where we construct a large population of 3D genome structures that together are entirely consistent with all available experimental data including data from genome-wide chromosome conformation capture and imaging experiments. We interpret the result in terms of probabilities of a sample drawn from a population of heterogeneous structures. We will discuss results on the 3D spatial organization of genomes in human lymphoblastoid cells and budding yeast. | |
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