Genome-Wide RNAi Analysis of Growth and Viability in Drosophila Cells

By Michael Boutros, A. Kiger, S. Armknecht, K. Kerr, M. Hild, B. Koch, Stefan A. Haas, Heidelberg Fly Array Consortium, R. Paro, Norbert Perrimon. Science, 2004

770 citations recorded by the source corpus.

Subfields: Immunology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/a1c647fdc8e60ba746ececffc407df37ea74aaad

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In Molecular Biology

Citations in the corpus

Reconstruction of cellular signalling networks and analysis of their properties (2005, methodology): “Such knockdown strategies will certainly develop into a powerful tool for deciphering larger cellular signalling networks on a genome-wide scal”
Analysis of cell-based RNAi screens (2006, neutral): “Details of the screening procedure are described elsewhere [9], sequence information is available from our website [19], and the data are provided as part of the examples in the documentation of the cellHTS package.”
A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila (2007, methodology): “For the eye and notum, assays were performed with (1) or without (2) an additional UAS-Dcr-2 transgene.”
Chapter Five – Progress Towards RNAi-Mediated Insect Pest Management (2014, methodology): “studies of gene function have been enabled through the use of cultured cells, employing both genome-wide (Boutros and Ahringer, 2008; Boutros et al., 2004) and pathway-specific screens (e.”
Machine learning and computer vision approaches for phenotypic profiling (2017, background): “By integrating fluorescently labeled proteins or staining specific organelles, it is possible to investigate more complex subcellular phenotypes (Boutros et al., 2004; Negishi et al., 2009).”