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Visualization of Endoplasmic Reticulum Subdomains in Cultured Cells
Published on: February 18, 2014
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Quantitative Super-Resolution Imaging of ER-Phagy Initiation in Cells
Ashwin Balakrishnan1, Marius Glogger2, Mike Heilemann3
1Institute of Physical and Theoretical Chemistry, Goethe-University Frankfurt, Frankfurt, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|August 8, 2024
Summary
This study details a super-resolution microscopy protocol using DNA-PAINT to visualize ER-phagy receptor assemblies. This method allows for nanoscale imaging and molecular quantification of these crucial cellular components.
Area of Science:
- Cell Biology
- Molecular Biology
- Microscopy
Background:
- Selective autophagy of the endoplasmic reticulum (ER-phagy) degrades damaged ER components, preventing cellular stress.
- ER-phagy receptors form protein assemblies to orchestrate this degradation process.
- Understanding ER-phagy receptor assembly is key to comprehending cellular homeostasis.
Purpose of the Study:
- To establish a protocol for super-resolution imaging of ER-phagy receptors.
- To visualize and analyze the nanoscale assembly of ER-phagy receptors in fixed cells.
- To enable molecular quantification of ER-phagy receptor clusters.
Main Methods:
- Utilizing DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) for super-resolution microscopy.
- Applying DNA-PAINT to fixed cells for high-resolution imaging of ER-phagy receptors.
- Developing methods for image generation, cluster analysis, and molecular quantification.
Main Results:
- Demonstrated the feasibility of using DNA-PAINT for visualizing ER-phagy receptor clusters.
- Provided a detailed protocol for super-resolution imaging and analysis.
- Enabled the study of receptor assembly at the nanoscale.
Conclusions:
- DNA-PAINT is a powerful technique for resolving ER-phagy receptor assemblies.
- This protocol facilitates the investigation of molecular building principles in ER-phagy.
- Enhanced understanding of ER-phagy mechanisms through nanoscale visualization.

