Mitochondrial temporal network tracking for 4D live-cell fluorescence microscopy data

Wang, Zichen; Natekar, Parth; Tea, Challana; Tamir, Sharon; Hakozaki, Hiroyuki; Schöneberg, Johannes

doi:10.1016/j.bpj.2022.11.721

Cited by 1 publication

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“…D . Simulated (colored curves) and experimental (black triangle: hiPSC cell [6], black square: COS-7 cells) networks are plotted in the space of largest cluster size fraction and mean segment length. Colors indicate fixed values of the ratio k u 2 /k u 1 while dots represent specific values of k u 1 , which increases from low to high cluster size along each curve.…”

Section: Resultsmentioning

confidence: 99%

“…E . Examples of experimentally derived network structures from a COS-7 cell (left) and a hiPSC cell [6] (right).…”

Section: Resultsmentioning

confidence: 99%

“…Error bars show standard deviation across simulation trials. Gray boxes show the mean and standard deviation for experimental networks from hiPSC [6] (dark gray) and COS-7 cells (light gray).…”

Section: Resultsmentioning

confidence: 99%

“…The upregulation or overexpression of mitochondrial fusion proteins (MFN1, MFN2, OPA1 in mammalian cells, and Fzo1, Mgm1 in yeast [3]) can lead to hyperfused, highly-connected networks [28], and may counteract pathological fragmentation [27]. Genetic disruption of fission proteins [29] (DRP1, Dnm1 in mammalian and yeast cells, respectively [3]) also leads to mitochondrial elongation, while treatment with toxins such as oligomycin [6], FCCP [30], and paraquat [28] induces fragmentation of the network. Nutrient availability has been shown to regulate mitochondrial network volume [31] and structure.…”

Section: Introductionmentioning

confidence: 99%

“…Recent advances in imaging technology have allowed for real-time tracking and quantification of mitochondrial network structure [6, 10, 34]. However, our understanding of the physical processes and principles that govern these dynamic structures remains incomplete.…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Modeling of Mitochondrial Network Architecture

Holt,

Winter,

Manley

et al. 2024

Preprint

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In many cell types, mitochondria undergo extensive fusion and fission to form dynamic, responsive network structures that contribute to a number of homeostatic, metabolic, and signaling functions. The relationship between the dynamic interactions of individual mitochondrial units and the cell-scale network architecture remains an open area of study. In this work, we use coarse-grained simulations and approximate analytic models to establish how the network morphology is governed by local mechanical and kinetic parameters. The transition between fragmented structures and extensive networks is controlled by local fusion-to fission ratios, network density, and geometric constraints. Similar fusion rate constants are found to account for the very different structures formed by mammalian networks (poised at the percolation transition) and well-connected budding yeast networks. Over a broad parameter range, the simulated network structures can be described by effective mean-field association constants that exhibit a non-linear dependence on the microscopic non-equilibrium fusion, fission, and transport rates. Intermediate fusion rates are shown to result in the highest rates of network remodeling, with mammalian mitochondrial networks situated in a regime of high turnover. Our modeling framework helps to elucidate how local parameters that govern mitochondrial interactions give rise to spatially resolved dynamic network structures at the cellular scale.

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Section: Resultsmentioning

confidence: 99%

“…E . Examples of experimentally derived network structures from a COS-7 cell (left) and a hiPSC cell [6] (right).…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatiotemporal Modeling of Mitochondrial Network Architecture

Holt,

Winter,

Manley

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Mitochondrial temporal network tracking for 4D live-cell fluorescence microscopy data

Cited by 1 publication

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Spatiotemporal Modeling of Mitochondrial Network Architecture

Spatiotemporal Modeling of Mitochondrial Network Architecture

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