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Nature 458, 987-992 (23 April 2009) | doi:10.1038/nature07936; Received 26 September 2008; Accepted 17 February 2009; Published online 12 April 2009

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Genome-wide analysis of Notch signalling in Drosophila by transgenic RNAi

Jennifer L. Mummery-Widmer1,4, Masakazu Yamazaki1,4,5, Thomas Stoeger1, Maria Novatchkova1,2, Sheetal Bhalerao1,2, Doris Chen3, Georg Dietzl2, Barry J. Dickson2 & Juergen A. Knoblich1

  1. Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Dr Bohr-Gasse 3,
  2. Research Institute of Molecular Pathology (IMP), Dr Bohr-Gasse 7, and,
  3. Max F. Perutz Laboratories (MFPL), Department of Biochemistry, Dr Bohr-Gasse 9, A-1030 Vienna, Austria
  4. These authors contributed equally to this work.
  5. Present address: The Global COE program, Akita University School of Medicine, 1-1-1 Hondo, Akita 010-8543, Japan.

Correspondence to: Juergen A. Knoblich1 Correspondence and requests for materials should be addressed to J.A.K. (Email: juergen.knoblich@imba.oeaw.ac.at).

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Genome-wide RNA interference (RNAi) screens have identified near-complete sets of genes involved in cellular processes. However, this methodology has not yet been used to study complex developmental processes in a tissue-specific manner. Here we report the use of a library of Drosophila strains expressing inducible hairpin RNAi constructs to study the Notch signalling pathway during external sensory organ development. We assigned putative loss-of-function phenotypes to 21.2% of the protein-coding Drosophila genes. Using secondary assays, we identified 6 new genes involved in asymmetric cell division and 23 novel genes regulating the Notch signalling pathway. By integrating our phenotypic results with protein interaction data, we constructed a genome-wide, functionally validated interaction network governing Notch signalling and asymmetric cell division. We used clustering algorithms to identify nuclear import pathways and the COP9 signallosome as Notch regulators. Our results show that complex developmental processes can be analysed on a genome-wide level and provide a unique resource for functional annotation of the Drosophila genome.