@article{203321,
  keywords = {CP: Imaging, Saccharomyces cerevisea, image analysis, imaging, inter-organelle contact, mitochondrial-ER contact, organelle distribution, organelle morphology},
  author = {Therese Kichuk and Satyen Dhamankar and Saurabh Malani and William Hofstadter and Scott Wegner and Ileana Cristea and Jos{\'e} Avalos},
  title = {Using MitER for 3D analysis of mitochondrial morphology and ER contacts.},
  abstract = {<p>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.</p>
},
  year = {2024},
  journal = {Cell reports methods},
  volume = {4},
  pages = {100692},
  month = {01/2024},
  issn = {2667-2375},
  doi = {10.1016/j.crmeth.2023.100692},
  language = {eng},
}