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Sönnichsen, B; Koski, L. B; Walsh, A; Marschall, P; Neumann, B; Brehm, M; Alleaume, A.-M; Artelt, J; Bettencourt, P; Cassin, E; Hewitson, M; Holz, C; Khan, M; Lazik, S; Martin, C; Nitzsche, B; Ruer, M; Stamford, J; Winzi, M; Heinkel, R; Röder, M; Finell, J; Häntsch, H; Jones, S. J. M; Jones, M; Piano, F; Gunsalus, K. C; Oegema, K; Gönczy, P; Coulson, A; Hyman, A. A; Echeverri, C. J
Nature, 03/2005, Letnik: 434, Številka: 7032Journal Article
A key challenge of functional genomics today is to generate well-annotated data sets that can be interpreted across different platforms and technologies. Large-scale functional genomics data often fail to connect to standard experimental approaches of gene characterization in individual laboratories. Furthermore, a lack of universal annotation standards for phenotypic data sets makes it difficult to compare different screening approaches. Here we address this problem in a screen designed to identify all genes required for the first two rounds of cell division in the Caenorhabditis elegans embryo. We used RNA-mediated interference to target 98% of all genes predicted in the C. elegans genome in combination with differential interference contrast time-lapse microscopy. Through systematic annotation of the resulting movies, we developed a phenotypic profiling system, which shows high correlation with cellular processes and biochemical pathways, thus enabling us to predict new functions for previously uncharacterized genes.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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