Using MitER for 3D analysis of mitochondrial morphology and ER contacts.
Using MitER for 3D analysis of mitochondrial morphology and ER contacts.
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DOI:
10.1016/j.crmeth.2023.100692
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发表时间:
2024-01-22
期刊:
影响因子:
--
通讯作者:
Avalos, Jose L.
中科院分区:
文献类型:
--
作者:
Kichuk, Therese;Dhamankar, Satyen;Malani, Saurabh;Hofstadter, William A.;Wegner, Scott A.;Cristea, Ileana M.;Avalos, Jose L.
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. MitER is an open-source analysis workflow for three-dimensional organelle renderings MitER provides automated volume, surface area, and inter-organelle contact measurements MitER can be used to capture dynamic changes in organelle morphologies Mitochondrial morphology and contact with proximal organelles are important in both healthy and diseased cell states. Quantification of mitochondrial contact with the endoplasmic reticulum (ER) is particularly valuable as these contacts influence numerous cellular processes, such as mitochondrial fission and fusion, mitophagy, and calcium signaling. However, there are limited tools for such quantitative analyses. Current open-source methods solely allow for colocalization measurements, which are sufficient to estimate inter-organelle contact but lack the ability to provide more substantial metrics, such as the surface area and number of discrete contacts. Kichuk et al. introduce MitER, an open-source workflow that allows for quantitative single-cell analysis of organelle morphology, distribution, and inter-organelle contacts. The workflow is used to quantify the variations in the mitochondria-endoplasmic reticulum (mito-ER) networks of Saccharomyces cerevisiae, revealing a significant increase in mito-ER contacts within respiring cells compared to fermenting cells.
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影响因子:
9
作者:
Gómez-Suaga P;Bravo-San Pedro JM;González-Polo RA;Fuentes JM;Niso-Santano M
通讯作者:
Niso-Santano M
DOI:
10.1016/j.bbamcr.2017.05.018
发表时间:
2017-09
期刊:
Biochimica et biophysica acta. Molecular cell research
影响因子:
--
作者:
Chang CL;Chen YJ;Liou J
通讯作者:
Liou J
影响因子:
7.7
作者:
Murley A;Lackner LL;Osman C;West M;Voeltz GK;Walter P;Nunnari J
通讯作者:
Nunnari J
DOI:
10.1126/science.1207385
发表时间:
2011-10-21
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Friedman JR;Lackner LL;West M;DiBenedetto JR;Nunnari J;Voeltz GK
通讯作者:
Voeltz GK
影响因子:
4.7
作者:
Hammer, Sarah K.;Zhang, Yanfei;Avalos, Jose L.
通讯作者:
Avalos, Jose L.