A Fluorescent Live Imaging Screening Assay Based on Translocation Criteria Identifies Novel Cytoplasmic Proteins

Sandra Lecat1, Hans W D Matthes2, Rainer Pepperkok3

  • 1From the ‡GPCRs, Pain and Inflammation Team, UMR7242, CNRS-University of Strasbourg, LabEx Medalis, 300 Bvd Sébastien Brant, 67412 Illkirch, France; sandra.lecat@unistra.fr.

Insights

Researchers screened 193 proteins to find new cytoplasmic proteins involved in G protein-coupled receptor signaling. Eight proteins showed altered localization upon receptor activation, revealing new potential signaling pathway actors.

Area of Science:

  • Cell Biology
  • Molecular Biology
  • Biochemistry

Background:

  • Cytoplasmic proteins, like beta-arrestin2, translocate to the plasma membrane during G protein-coupled receptor (GPCR) signaling.
  • Understanding these dynamic protein movements is crucial for deciphering GPCR signaling pathways.

Purpose of the Study:

  • To identify novel cytoplasmic proteins involved in the activation and deactivation cycle of GPCRs.
  • To characterize proteins that translocate within the cell upon GPCR stimulation.

Main Methods:

  • A live-imaging screen of 193 fluorescently tagged human cytoplasmic proteins was conducted.
  • Cells were stimulated to activate the tachykinin NK2 receptor, and protein translocation was monitored via video recording.
  • Proteins exhibiting altered intracellular localization were identified.

Main Results:

  • Eight proteins demonstrated changes in intracellular localization upon NK2 receptor activation.
  • BAIAP3 and BIN1 partially translocated to the plasma membrane; ARHGAP12 and PKM2 moved towards membrane blebs.
  • PLEKHH2, SPATC1L, and CLIC2 showed distinct rearrangements, with CLIC2 also responding to M3 and LPA receptors, suggesting broader roles.

Conclusions:

  • The screen successfully identified eight novel proteins potentially involved in GPCR signaling pathways.
  • These findings expand the known repertoire of proteins participating in GPCR-mediated cellular responses.
  • The methodology is scalable for high-content screening to discover more signaling components.