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Human Molecular Genetics, 2001, Vol. 10, No. 18 1995-2011
© 2001 Oxford University Press

Large-scale identification of mammalian proteins localized to nuclear sub-compartments

Heidi G.E. Sutherland, Gail K. Mumford, Kathryn Newton, Lisa V. Ford, Rachel Farrall, Graham Dellaire, Javier F. Cáceres and Wendy A. Bickmore+

MRC Human Genetics Unit, Crewe Road, Edinburgh EH4 2XU, UK

Many nuclear components participating in related pathways appear concentrated in specific areas of the mammalian nucleus. The importance of this organization is attested to by the dysfunction that correlates with mis-localization of nuclear proteins in human disease and cancer. Determining the sub-nuclear localization of proteins is therefore important for understanding genome regulation and function, and it also provides clues to function for novel proteins. However, the complexity of proteins in the mammalian nucleus is too large to tackle this on a protein by protein basis. Large-scale approaches to determining protein function and sub-cellular localization are required. We have used a visual gene trap screen to identify more than 100 proteins, many of which are normal, located within compartments of the mouse nucleus. The most common discrete localizations detected are at the nucleolus and the splicing speckles and on chromosomes. Proteins at the nuclear periphery, or in other nuclear foci, have also been identified. Several of the proteins have been implicated in human disease or cancer, e.g. ATRX, HMGI-C, NBS1 and EWS, and the gene-trapped proteins provide a route into further understanding their function. We find that sequence motifs are often shared amongst proteins co-localized within the same sub-nuclear compartment. Conversely, some generally abundant motifs are lacking from the proteins concentrated in specific areas of the nucleus. This suggests that we may be able to predict sub-nuclear localization for proteins in databases based on their sequence.

+ To whom correspondence should be addressed. Tel: +44 131 332 2472; Fax: +44 131 343 2620; Email:w.bickmore@hgu.mrc.ac.uk


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