Boosting the toolbox for live imaging of translation

  1. Jeremy Dufourt1,6
  1. 1Institut de Génétique Moléculaire de Montpellier, University of Montpellier, CNRS, 34293 Montpellier, France
  2. 2Department of Developmental Genetics, Max Planck Institute for Heart and Lung Research, 61231 Bad Nauheim, Germany
  3. 3Vilcek Institute of Graduate Studies, NYU School of Medicine, New York 10016, USA
  4. 4Whitehead Institute for Biomedical Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, USA
  5. 5Institut de Génétique Humaine, University of Montpellier, CNRS, 34396 Montpellier, France
  6. 6Institut de Recherche en Infectiologie de Montpellier, CNRS UMR 9004, University of Montpellier, Montpellier, 34293 Cedex 5, France
  1. Corresponding authors: jeremy.dufourt{at}irim.cnrs.fr, edouard.bertrand{at}igh.cnrs.fr
  1. Handling editor: Maria Carmo-Fonseca

Abstract

Live imaging of translation based on tag recognition by a single-chain antibody is a powerful technique to assess translation regulation in living cells. However, this approach is challenging and requires optimization in terms of expression level and detection sensitivity of the system, especially in a multicellular organism. Here, we improved existing fluorescent tools and developed new ones to image and quantify nascent translation in the living Drosophila embryo and in mammalian cells. We tested and characterized five different green fluorescent protein variants fused to the single-chain fragment variable (scFv) and uncovered photobleaching, aggregation, and intensity disparities. Using different strengths of germline and somatic drivers, we determined that the availability of the scFv is critical in order to detect translation throughout development. We introduced a new translation imaging method based on a nanobody/tag system named ALFA-array, allowing the sensitive and simultaneous detection of the translation of several distinct mRNA species. Finally, we developed a largely improved RNA imaging system based on an MCP-tdStaygold fusion.

Keywords

  • Received June 21, 2024.
  • Accepted June 30, 2024.

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