Abstract
We have developed an open-source workflow that allows for quantitative single-cell analysis of organelle morphology, distribution, and inter-organelle contacts with an emphasis on the analysis of mitochondria and mitochondria-endoplasmic reticulum (mito-ER) contact sites. As the importance of inter-organelle contacts becomes more widely recognized, there is a concomitant increase in demand for tools to analyze subcellular architecture. Here, we describe a workflow we call MitER (pronounced “mightier”), which allows for automated calculation of organelle morphology, distribution, and inter-organelle contacts from 3D renderings by employing the animation software Blender. We then use MitER to quantify the variations in the mito-ER networks of Saccharomyces cerevisiae, revealing significantly more mito-ER contacts within respiring cells compared to fermenting cells. We then demonstrate how this workflow can be applied to mammalian systems and used to monitor mitochondrial dynamics and inter-organelle contact in time-lapse studies.
Original language | English (US) |
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Article number | 100692 |
Journal | Cell Reports Methods |
Volume | 4 |
Issue number | 1 |
DOIs | |
State | Published - Jan 22 2024 |
All Science Journal Classification (ASJC) codes
- Genetics
- Biochemistry, Genetics and Molecular Biology (miscellaneous)
- Biochemistry
- Radiology Nuclear Medicine and imaging
- Biotechnology
- Computer Science Applications
Keywords
- CP: Imaging
- Saccharomyces cerevisea
- image analysis
- imaging
- inter-organelle contact
- mitochondrial-ER contact
- organelle distribution
- organelle morphology