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Literature DB >> 25640425

Quantifying mitochondrial content in living cells.

Matheus Palhares Viana¹, Swee Lim², Susanne M Rafelski³.

Abstract

We describe a novel version of MitoGraph, our fully automated image processing method and software, dedicated to calculating the volume of 3D intracellular structures and organelles in live cells. MitoGraph is optimized and validated for quantifying the volume of tubular mitochondrial networks in budding yeast. We therefore include the experimental protocol, microscopy conditions, and software parameters focusing on mitochondria in budding yeast. However, MitoGraph can also be applied to mitochondria in other cell types and possibly other intracellular structures. We begin with our protocol and then include substantial discussion of the validation, requirements, and limits of MitoGraph to aid a wide range of potential users in applying MitoGraph to their data and troubleshooting any potential problems that arise. MitoGraph is freely available at the Web site http://rafelski.com/susanne/MitoGraph.

Entities: Species

Keywords: Budding yeast; Microscopy; MitoGraph; Mitochondria; Networks; Skeletonization; Software; Topology; Tubules; Volume

Mesh：

Year: 2015 PMID： 25640425 DOI： 10.1016/bs.mcb.2014.10.003

Source DB: PubMed Journal: Methods Cell Biol ISSN： 0091-679X Impact factor: 1.441

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Cited

17 in total

Review 1. The Mitochondrion as an Emerging Therapeutic Target in Cancer.

Authors: Katherine G Roth; Isa Mambetsariev; Prakash Kulkarni; Ravi Salgia
Journal: Trends Mol Med Date: 2019-07-18 Impact factor: 11.951

2. Mito-SinCe² Approach to Analyze Mitochondrial Structure-Function Relationship in Single Cells.

Authors: B Spurlock; K Mitra
Journal: Methods Mol Biol Date: 2021

3. Methods for imaging mammalian mitochondrial morphology: A prospective on MitoGraph.

Authors: Megan C Harwig; Matheus P Viana; John M Egner; Jason J Harwig; Michael E Widlansky; Susanne M Rafelski; R Blake Hill
Journal: Anal Biochem Date: 2018-03-02 Impact factor: 3.365

4. New quantitative approach reveals heterogeneity in mitochondrial structure-function relations in tumor-initiating cells.

Authors: Brian Spurlock; Priyanka Gupta; Malay Kumar Basu; Avik Mukherjee; Anita B Hjelmeland; Victor Darley-Usmar; Danitra Parker; McKenzie E Foxall; Kasturi Mitra
Journal: J Cell Sci Date: 2019-05-02 Impact factor: 5.285

Quantifying mitochondrial content in living cells.

Review 1. The Mitochondrion as an Emerging Therapeutic Target in Cancer.

2. Mito-SinCe² Approach to Analyze Mitochondrial Structure-Function Relationship in Single Cells.

3. Methods for imaging mammalian mitochondrial morphology: A prospective on MitoGraph.

4. New quantitative approach reveals heterogeneity in mitochondrial structure-function relations in tumor-initiating cells.

5. Automated segmentation and tracking of mitochondria in live-cell time-lapse images.

6. Accurate concentration control of mitochondria and nucleoids.

7. Mitochondrial volume fraction and translation duration impact mitochondrial mRNA localization and protein synthesis.

8. A Putative Bet-Hedging Strategy Buffers Budding Yeast against Environmental Instability.

9. Quantification of Mitochondrial Dynamics in Fission Yeast.

10. Suppressive neutrophils require PIM1 for metabolic fitness and survival during chronic viral infection.