Evidence map›Paper›PMID 36224243›Full record

ArticleScientific reports2022

Universal dynamics of mitochondrial networks: a finite-size scaling analysis.

Nahuel Zamponi, Emiliano Zamponi, Sergio A Cannas, Dante R Chialvo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Finite-Size Scaling in the Ageing Dynamics of the 1Entropy (Basel, Switzerland) · 2025
    Article
  2. Review
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

4 authors at 4 institutions in 2 countries.

Nahuel Zamponi *Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA. zamponi.n@gmail.com.
Emiliano Zamponi *Department of Molecular, Cellular, and Developmental Biology, University of Colorado-Boulder, Boulder, CO, 80309, USA.
Sergio A Cannas *Facultad de Matemática Astronomía Física y Computación, Universidad Nacional de Córdoba, Instituto de Física Enrique Gaviola (IFEG-CONICET), Ciudad Universitaria, 5000, Córdoba, Argentina.
Dante R Chialvo *Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, 1425, Buenos Aires, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARCornell University · USUniversidad Nacional de Córdoba · ARUniversity of Colorado Boulder · US

Funding

Readout and control of spatiotemporal neuronal codes for behaviorU19NS107464 · NINDS · UNIVERSITY OF CHICAGO · PI SHOHAM, SHY · 2018 to 2022
$17.3M
NINDS NIH HHS U19 NS107464
6 · The paper itself

Abstract

Evidence from models and experiments suggests that the networked structure observed in mitochondria emerges at the critical point of a phase transition controlled by fission and fusion rates. If mitochondria are poised at criticality, the relevant network quantities should scale with the system's size. However, whether or not the expected finite-size effects take place has not been demonstrated yet. Here, we first provide a theoretical framework to interpret the scaling behavior of mitochondrial network quantities by analyzing two conceptually different models of mitochondrial dynamics. Then, we perform a finite-size scaling analysis of real mitochondrial networks extracted from microscopy images and obtain scaling exponents comparable with critical exponents from models and theory. Overall, we provide a universal description of the structural phase transition in mammalian mitochondria.

Indexed as

Finite Element AnalysisMitochondrial DynamicsAnimalsMammalsModels, TheoreticalPhase Transition

Identifiers

PMID36224243
PMCPMC9556628
OpenAlexW3096186738

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.