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Protein interaction mapping: A Drosophila case study

  • Etienne Formstecher
  • , Sandra Aresta
  • , Vincent Collura
  • , Alexandre Hamburger
  • , Alain Meil
  • , Alexandra Trehin
  • , Céline Reverdy
  • , Virginie Betin
  • , Sophie Maire
  • , Christine Brun
  • , Bernard Jacq
  • , Monique Arpin
  • , Yohanns Bellaiche
  • , Saverio Bellusci
  • , Philippe Benaroch
  • , Michel Bornens
  • , Roland Chanet
  • , Philippe Chavrier
  • , Olivier Delattre
  • , Valérie Doye
  • Richard Fehon, Gérard Faye, Thierry Galli, Jean Antoine Girault, Bruno Goud, Jean de Gunzburg, Ludger Johannes, Marie Pierre Junier, Vincent Mirouse, Ashim Mukherjee, Dora Papadopoulo, Franck Perez, Anne Plessis, Carine Rossé, Simon Saule, Dominique Stoppa-Lyonnet, Alain Vincent, Michael White, Pierre Legrain, Jérôme Wojcik, Jacques Camonis, Laurent Daviet
  • Hybrigenics SA
  • NMDA/IBDM
  • CNRS UMR144
  • Institut Curie
  • Department of Biology
  • Duke University
  • Dept. of Molec. Genet./Cell Biology
  • University of Chicago
  • Institut du Fer à Moulin
  • Collège de France
  • INSERM U869
  • Harvard Medical School
  • Centre national de la recherche scientifique
  • Institut Jacques Monod
  • Section Medicale
  • Université Paul Sabatier
  • Department of Cell Biology
  • University of Texas Southwestern Medical Center
  • Département de Biologie
  • Institut Pierre Simon Laplace, CNRS and CEA

Research output: Contribution to journalArticlepeer-review

480 Citations (Scopus)

Abstract

The Drosophila (fruit fly) model system has been instrumental in our current understanding of human biology, development, and diseases. Here, we used a high-throughput yeast two-hybrid (Y2H)-based technology to screen 102 bait proteins from Drosophila melanogaster, most of them orthologous to human cancer-related and/or signaling proteins, against high-complexity fly cDNA libraries. More than 2300 protein-protein interactions (PPI) were identified, of which 710 are of high confidence. The computation of a reliability score for each protein-protein interaction and the systematic identification of the interacting domain combined with a prediction of structural/ functional motifs allow the elaboration of known complexes and the identification of new ones. The full data set can be visualized using a graphical Web interface, the PIMRider (http://pim.hybrigenics.com), and is also accessible in the PSI standard Molecular Interaction data format. Our fly Protein Interaction Map (PIM) is surprisingly different from the one recently proposed by Giot et al. with little overlap between the two data sets. Analysis of the differences in data sets and methods suggests alternative strategies to enhance the accuracy and comprehensiveness of the post-genomic generation of broad-scale protein interaction maps.

Original languageEnglish
Pages (from-to)376-384
Number of pages9
JournalGenome Research
Volume15
Issue number3
DOIs
Publication statusPublished - 1 Mar 2005
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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