Words similar to overlapping
Example sentences for: overlapping
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The importance of these components to proteasome function is apparent in their partially overlapping properties.
The murine protein (m.angel) was determined from the assembly of several murine overlapping matching ESTs (AI151868, BF318959, AB041602, AA647420 ; see Additional File 3).
AtCOP1 contains three conserved structural domains: a RING finger at the amino terminus, a coiled-coil domain in the middle, and a carboxyl-terminal WD40 repeat domain [ 9 10 ] . Each of the three conserved domains has been shown to mediate protein-protein interactions [ 11 12 13 ] . The subcellular localization of AtCOP1 is regulated by light in a tissue specific manner [ 14 15 ] . The hypocotyl cell nuclei contain high levels of COP1 in the dark and reduced levels in the light, suggesting that the nucleocytoplasmic partitioning of AtCOP1 is adjusted by a light-responsive mechanism [ 14 16 ] . The activity of AtCOP1 is at least in part regulated by its subcellular localization, as the degradation of HY5 is dependent upon the nuclear accumulation of AtCOP1 in the dark [ 4 ] . AtCOP1 was demonstrated to carry a single, bipartite nuclear localization signal located between the coiled-coil domain and the WD-40 domain (amino acid 294-314) and a cytoplasmic localization signal, which was mapped to a region partially overlapping with the RING finger and the coiled-coil domain (amino acid 67-117) [ 17 ] . Strikingly, AtCOP1 protein forms characteristic nuclear speckles when transiently expressed in onion epidermal cells or stably expressed in transgenic Arabidopsis [ 6 18 ] . The functional role of these speckles is currently unknown; however, a subnuclear localization signal consisting of 58 residues (amino acid 120-177) is required for their formation [ 19 ] .
These three inflammatory diseases not only share phenotypic features, but a subset of putative risk loci mapped to an overlapping region on chromosome 16.
Conserved word-pair templates accounted for similar changes in genome-wide expression ( R -square from approximately 11% to approximately 20%) using only 8 to 10 features, compared with dozens of overlapping features used by other methods [ 20 21 ] . Therefore, individual features from our methods were more predictive of genome-wide expression changes.
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