Evidence map›Paper›PMID 41955107›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Diffusive spreading across dynamic mitochondrial network architectures.

Keaton B Holt, Camryn Zurita, Lizzy Teryoshin, Samantha C Lewis, Elena F Koslover

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Diffusive spreading across dynamic mitochondrial network architectures.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Keaton B HoltDepartment of Physics, University of California, San Diego, La Jolla, CA 92093.ORCID 0009-0008-1055-7570
Camryn ZuritaDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720.ORCID 0000-0001-8048-5690
Lizzy TeryoshinDepartment of Physics, University of California, San Diego, La Jolla, CA 92093.ORCID 0009-0009-3068-9527
Samantha C LewisDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720.ORCID 0000-0001-6306-443X
Elena F KosloverDepartment of Physics, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0003-4139-9209

Funding

Systems analysis of mitochondrial genome maintenance in physiological contextR35GM147218 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Samantha C Lewis · 2022 to 2026
$2.1M
Chan Zuckerberg Initiative (CZI) 2024-350551Chan Zuckerberg Initiative (CZI) RR-8817National Science Foundation (NSF) 2310229National Science Foundation (NSF) 2339182NIGMS NIH HHS R35 GM147218UCSD Academic Senate RG115928
6 · The paper itself

Abstract

In eukaryotic cells, mitochondria form networks that range from highly fused interconnected structures to fragmented populations of individual organelles that undergo transient interactions. These structures can be described as temporal networks of physical units, whose dynamic topology is determined by fusion, fission, and motion of the mitochondria through intracellular space. The heterogeneity of the mitochondrial population is governed by diffusive transport and interunit exchange of proteins, lipids, ions, and RNA within these networks. We present a unifying framework for the dispersion of material within temporal networks of spatially embedded units that span across a broad connectivity range. Specifically, we consider filling of the networks with a locally produced but globally consumed material, demonstrating that the steady-state content is determined by the balance of timescales for spatial encounter between clusters, local fusion, fission, and diffusive transport within a cluster. As the connectivity increases, filling behavior transitions from three-dimensional spread through a "social network" limited by cluster interactions to low-dimensional transport through a largely stationary "physical network" limited by material diffusivity. We extract parameters for mitochondrial networks in three human cell lines, demonstrating that different cells can access both the social and the physical network regimes. These results provide a quantitative basis for predicting the homogenization of biomolecules through a mitochondrial population. Our framework unifies a variety of temporal network structures into an overarching theory for transport through populations of interacting and interconnected units.

Indexed as

MitochondriaMitochondrial DynamicsModels, BiologicalBiological TransportDiffusionHumansintracellular transportmitochondrianetworksorganelle dynamicstemporal networks

Identifiers

PMID41955107
PMCPMC13079940

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.