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4D Microscopy of Yeast
Published on: April 28, 2019
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Visualizing Reversible Cisternal Stacking in Budding Yeast Pichia pastoris.
Roma Dahara1,2, Bhawik Jain1,2, Dibyendu Bhattacharyya3,4,5
1Department of Cell and Tumor Biology, Advanced Centre for Treatment Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, India.
Methods in Molecular Biology (Clifton, N.J.)
|December 13, 2022
Summary
Trans-Golgi Network (TGN) peeling, a rapid Golgi process, is visualized using live microscopy. This technique reveals frequent TGN peeling in specific mutants, aiding the study of reversible cisternal stacking.
Area of Science:
- Cell Biology
- Molecular Biology
- Biochemistry
Background:
- Golgi apparatus cisternal stacking is a dynamic, reversible process.
- Trans-Golgi Network (TGN) peeling is a key feature of this reversible stacking.
- Visualizing rapid TGN peeling events in live cells is methodologically challenging.
Purpose of the Study:
- To develop and describe a quantitative live microscopic methodology for visualizing TGN peeling.
- To investigate the frequency and dynamics of TGN peeling in Pichia pastoris.
- To study the role of specific proteins in reversible cisternal stacking and TGN dynamics.
Main Methods:
- Quantitative live microscopy in Pichia pastoris.
- Analysis of TGN peeling frequency in wild-type and mutant cells.
- Focus on mutants affecting reversible cisternal stacking (e.g., PpImh1, Arl3, Arl1 GTPase).
Main Results:
- TGN peeling occurs rapidly and at low frequency in wild-type cells, making it difficult to observe.
- TGN peeling becomes significantly more frequent in mutants affecting proteins like PpImh1, Arl3, and Arl1 GTPase.
- The developed methodology enables the visualization and quantification of TGN peeling events.
Conclusions:
- The described live microscopic method effectively visualizes the challenging TGN peeling phenomenon.
- Mutations in key Golgi-related proteins increase the frequency of TGN peeling, providing insights into cisternal stacking regulation.
- This methodology facilitates further research into the mechanisms of reversible Golgi stacking and TGN dynamics.

