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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
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Pooled multicolour tagging for visualizing subcellular protein dynamics.

Andreas Reicher1, Jiří Reiniš1, Maria Ciobanu1

  • 1CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

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|April 19, 2024
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Summary

This study introduces visual proteomics cell (vpCell) pools, a high-throughput method using microscopy, AI, and machine learning to track protein changes in live cells. This approach enables scalable drug discovery and mechanism-of-action studies by monitoring numerous proteins simultaneously.

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Area of Science:

  • Cell biology
  • Proteomics
  • Biotechnology

Background:

  • Subcellular protein localization is crucial for cell function.
  • Current methods for global protein dynamics monitoring are limited in throughput and scalability.
  • High-throughput imaging and computational analysis are needed for large-scale studies.

Purpose of the Study:

  • To develop a scalable, high-throughput method for monitoring protein dynamics in live cells.
  • To enable the simultaneous tracking of numerous proteins within pooled cell populations.
  • To facilitate drug discovery and mechanism-of-action studies through perturbation analysis.

Main Methods:

  • Development of visual proteomics cell (vpCell) pools using genome-wide and cancer-focused sgRNA libraries.
  • Generation of cell pools with endogenous fluorescent protein tags for multicolour protein expression.
  • Application of high-throughput microscopy, computer vision, and machine learning for image analysis and clone identification.
  • Utilizing protein localization patterns and expression levels as visual barcodes for clone identification.

Main Results:

  • Demonstrated the ability to identify individual clones within vpCell pools using image analysis.
  • Successfully monitored perturbation-induced changes in protein localization and abundance in pooled cell populations.
  • Identified widespread protein localization changes upon treatment with antiproliferative compounds.
  • Discovered new inhibitors targeting the nuclear import/export machinery.

Conclusions:

  • The vpCell approach offers a powerful, scalable strategy for live-cell monitoring of protein dynamics.
  • This method significantly enhances throughput for drug discovery and mechanism-of-action studies.
  • Visual proteomics enables time-resolved characterization of protein responses to perturbations in a pooled format.