A genome-wide resource for the analysis of protein localisation in Drosophila

Research output: Contribution to journalJournal articleResearchpeer-review

  • Mihail Sarov
  • Christiane Barz
  • Helena Jambor
  • Marco Y Hein
  • Christopher Schmied
  • Dana Suchold
  • Bettina Stender
  • Stephan Janosch
  • Vinay Vikas K J
  • R T Krishnan
  • Aishwarya Krishnamoorthy
  • Irene R S Ferreira
  • Radoslaw K Ejsmont
  • Katja Finkl
  • Susanne Hasse
  • Philipp Kämpfer
  • Nicole Plewka
  • Elisabeth Vinis
  • Siegfried Schloissnig
  • Elisabeth Knust
  • Volker Hartenstein
  • Mani Ramaswami
  • K VijayRaghavan
  • Pavel Tomancak
  • Frank Schnorrer

The Drosophila genome contains >13000 protein-coding genes, the majority of which remain poorly investigated. Important reasons include the lack of antibodies or reporter constructs to visualise these proteins. Here, we present a genome-wide fosmid library of 10000 GFP-tagged clones, comprising tagged genes and most of their regulatory information. For 880 tagged proteins, we created transgenic lines, and for a total of 207 lines, we assessed protein expression and localisation in ovaries, embryos, pupae or adults by stainings and live imaging approaches. Importantly, we visualised many proteins at endogenous expression levels and found a large fraction of them localising to subcellular compartments. By applying genetic complementation tests, we estimate that about two-thirds of the tagged proteins are functional. Moreover, these tagged proteins enable interaction proteomics from developing pupae and adult flies. Taken together, this resource will boost systematic analysis of protein expression and localisation in various cellular and developmental contexts.

Original languageEnglish
JournaleLife
Volume5
Pages (from-to)e12068
ISSN2050-084X
DOIs
Publication statusPublished - 20 Feb 2016
Externally publishedYes

    Research areas

  • Animal Structures, Animals, Animals, Genetically Modified, Drosophila, Drosophila Proteins, Entomology, Gene Library, Genes, Reporter, Genome, Insect, Green Fluorescent Proteins, Image Processing, Computer-Assisted, Molecular Biology, Optical Imaging, Recombinant Fusion Proteins, Staining and Labeling, Journal Article, Research Support, Non-U.S. Gov't

ID: 186877335