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First published online September 9, 2005
doi: 10.1242/10.1242/jcs.02596

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Systems biology in the cell nucleus

National Cancer Institute, NIH, 41 Library Drive, Bethesda, MD 20892, USA

View larger version (23K): [in a new window]   Fig. 1. Requirements and goals of a systems approach in the nucleus. Systems approaches require the combination of experimental genomic and proteomic information with principles of spatial and temporal organization. Computational methods allow hypothesis to be tested through quantitative predictions that can be verified experimentally. Integration of such data leads to a comprehensive view of nuclear processes within the context of nuclear architecture. The results of these interdisciplinary approaches are novel insights into molecular mechanisms and discovery of novel concepts.

View larger version (56K): [in a new window]   Fig. 2. Systems information in the cell nucleus. Complete information on genome sequences, DNA-protein interactions, chromatin structure, nuclear compartments and spatial temporal organization is required to develop systems model of nuclear function. Experimental and computational tools to obtain this information are now available.

View larger version (40K): [in a new window]   Fig. 3. Strategies for the development of comprehensive system models. Proteomic or genomic information can be directly used to develop pathway and network models (dashed lines). Alternatively, specific cellular processes such as transcription or replication can be modeled in the form of functional modules, using quantitative cell-biological methods including combined imaging and computational approaches. Linking models of functional modules yields an integrated model.

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