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      Modular Detection of GFP-Labeled Proteins for Rapid Screening by Electron Microscopy in Cells and Organisms.

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          Abstract

          Reliable and quantifiable high-resolution protein localization is critical for understanding protein function. However, the time required to clone and characterize any protein of interest is a significant bottleneck, especially for electron microscopy (EM). We present a modular system for enzyme-based protein tagging that allows for improved speed and sampling for analysis of subcellular protein distributions using existing clone libraries to EM-resolution. We demonstrate that we can target a modified soybean ascorbate peroxidase (APEX) to any GFP-tagged protein of interest by engineering a GFP-binding peptide (GBP) directly to the APEX-tag. We demonstrate that APEX-GBP (1) significantly reduces the time required to characterize subcellular protein distributions of whole libraries to less than 3 days, (2) provides remarkable high-resolution localization of proteins to organelle subdomains, and (3) allows EM localization of GFP-tagged proteins, including proteins expressed at endogenous levels, in vivo by crossing existing GFP-tagged transgenic zebrafish lines with APEX-GBP transgenic lines.

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          Author and article information

          Journal
          Dev. Cell
          Developmental cell
          Elsevier BV
          1878-1551
          1534-5807
          Nov 23 2015
          : 35
          : 4
          Affiliations
          [1 ] Institute for Molecular Bioscience, University of Queensland, QLD 4072, Australia.
          [2 ] Centre for Microscopy and Microanalysis, University of Queensland, Brisbane, QLD 4072, Australia.
          [3 ] Institute for Molecular Bioscience, University of Queensland, QLD 4072, Australia; Centre for Microscopy and Microanalysis, University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: r.parton@imb.uq.edu.au.
          Article
          S1534-5807(15)00681-4
          10.1016/j.devcel.2015.10.016
          26585296
          fcd46a67-0b12-429d-91a5-9c2fbb27d744
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