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Data from: Diffusive spreading across dynamic mitochondrial network architectures

Holt, Keaton1; Zurita, Camryn2; Teryoshin, Lizzy1; Lewis, Samantha2; Koslover, Elena1

Published Feb 04, 2026 on Dryad. https://doi.org/10.5061/dryad.cjsxksnkb

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Abstract

Networks of physical units can vary from a stationary set of spatially-embedded links to a collection of mobile agents that undergo transient social interactions. In living cells, mitochondria form architectures that span across these regimes, transitioning between fragmented, partly connected, and highly fused structures depending on cell type and state. Diffusive transport of biomolecular components through these networks limits the heterogeneity of the mitochondrial population. Here we address the connection between dynamic network architecture and the rate of diffusive mixing through simulations and analytic models that incorporate fusion, fission, and rearrangement. We find that the material delivered from a source to the rest of the network depends on the network dimensionality and a balance of competing timescales for encounter, fusion, and diffusive dispersion. We extract morphological and dynamic parameters for mitochondrial networks in three human cell lines, demonstrating that different cells span across both the physical and social network regimes. Mixing in mitochondrial networks is shown to be limited by material transport through connected tubules for slowly-diffusing particles and by inter-mitochondrial encounter rates for rapidly diffusing ones. These results provide a quantitative basis for predicting the homogenization of proteins, lipids, ions, or genetic material through the mitochondrial population. The general principles identified in this work capture diffusive spreading through both social and physical networks, unifying a continuum of spatial network architectures. These data comprise Airyscan fluorescence micrographs of mitochondrial network dynamics in human fibroblast, osteosarcoma, and neuroblastoma cells labeled with Mitotracker dye and SYBR Gold, and accompanying capture metadata.