ArticleScientific reports2020
Impact of global structure on diffusive exploration of organelle networks.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 1 citations in OpenAlex.
- Diffusive spreading across dynamic mitochondrial network architectures.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- nERdy: network analysis of endoplasmic reticulum dynamics.Communications biology · 2025Article
- Representing Mitochondrial Dynamics with Abstract Algebra.bioRxiv : the preprint server for biology · 2025Article
- FAST SOLVER FOR DIFFUSIVE TRANSPORT TIMES ON DYNAMIC INTRACELLULAR NETWORKS.SIAM journal on applied mathematics · 2024Article
- Endoplasmic reticulum network heterogeneity guides diffusive transport and kinetics.Biophysical journal · 2023Article
- Mitochondrial networks through the lens of mathematics.Physical biology · 2023Review
- Mitochondrial mRNA localization is governed by translation kinetics and spatial transport.PLoS computational biology · 2022Article
- Intertwined and Finely Balanced: Endoplasmic Reticulum Morphology, Dynamics, Function, and Diseases.Cells · 2021Review
- Diffusive search and trajectories on tubular networks: a propagator approach.The European physical journal. E, Soft matter · 2021Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
We investigate diffusive search on planar networks, motivated by tubular organelle networks in cell biology that contain molecules searching for reaction partners and binding sites. Exact calculation of the diffusive mean first-passage time on a spatial network is used to characterize the typical search time as a function of network connectivity. We find that global structural properties - the total edge length and number of loops - are sufficient to largely determine network exploration times for a variety of both synthetic planar networks and organelle morphologies extracted from living cells. For synthetic networks on a lattice, we predict the search time dependence on these global structural parameters by connecting with percolation theory, providing a bridge from irregular real-world networks to a simpler physical model. The dependence of search time on global network structural properties suggests that network architecture can be designed for efficient search without controlling the precise arrangement of connections. Specifically, increasing the number of loops substantially decreases search times, pointing to a potential physical mechanism for regulating reaction rates within organelle network structures.
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