eLife (Feb 2016)
A genome-wide resource for the analysis of protein localisation in Drosophila
- Mihail Sarov,
- Christiane Barz,
- Helena Jambor,
- Marco Y Hein,
- Christopher Schmied,
- Dana Suchold,
- Bettina Stender,
- Stephan Janosch,
- Vinay Vikas KJ,
- RT Krishnan,
- Aishwarya Krishnamoorthy,
- Irene RS Ferreira,
- Radoslaw K Ejsmont,
- Katja Finkl,
- Susanne Hasse,
- Philipp Kämpfer,
- Nicole Plewka,
- Elisabeth Vinis,
- Siegfried Schloissnig,
- Elisabeth Knust,
- Volker Hartenstein,
- Matthias Mann,
- Mani Ramaswami,
- K VijayRaghavan,
- Pavel Tomancak,
- Frank Schnorrer
Affiliations
- Mihail Sarov
- ORCiD
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Christiane Barz
- Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- Helena Jambor
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Marco Y Hein
- ORCiD
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
- Christopher Schmied
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Dana Suchold
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Bettina Stender
- Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- Stephan Janosch
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Vinay Vikas KJ
- ORCiD
- Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
- RT Krishnan
- Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
- Aishwarya Krishnamoorthy
- ORCiD
- Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
- Irene RS Ferreira
- Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- Radoslaw K Ejsmont
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Katja Finkl
- Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- Susanne Hasse
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Philipp Kämpfer
- Heidelberg Institute of Theoretical Studies, Heidelberg, Germany
- Nicole Plewka
- Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- Elisabeth Vinis
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Siegfried Schloissnig
- Heidelberg Institute of Theoretical Studies, Heidelberg, Germany
- Elisabeth Knust
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Volker Hartenstein
- Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, United States
- Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
- Mani Ramaswami
- Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
- K VijayRaghavan
- ORCiD
- Centre for Cellular and Molecular Platforms, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India
- Pavel Tomancak
- ORCiD
- Max Planck Institute of Cell Biology and Genetics, Dresden, Germany
- Frank Schnorrer
- ORCiD
- Muscle Dynamics Group, Max Planck Institute of Biochemistry, Martinsried, Germany
- DOI
- https://doi.org/10.7554/eLife.12068
- Journal volume & issue
-
Vol. 5
Abstract
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.
Keywords
