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Using MitER for 3D analysis of mitochondrial morphology and ER contacts

Research output: Contribution to journalArticlepeer-review

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 languageEnglish (US)
Article number100692
JournalCell Reports Methods
Volume4
Issue number1
DOIs
StatePublished - Jan 22 2024

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Genetics
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Keywords

  • CP: Imaging
  • Saccharomyces cerevisea
  • image analysis
  • imaging
  • inter-organelle contact
  • mitochondrial-ER contact
  • organelle distribution
  • organelle morphology

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