Evidence map›Paper›PMID 34143351›Full record

ArticleThe European physical journal. E, Soft matter2021

Diffusive search and trajectories on tubular networks: a propagator approach.

Zubenelgenubi C Scott, Aidan I Brown, Saurabh S Mogre, Laura M Westrate, Elena F Koslover

Open access · hybridAbstract read
In one paragraph

Article in The European physical journal. E, Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Luminal transport through intact endoplasmic reticulum limits the magnitude of localized CaProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
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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 at 3 institutions in 2 countries.

Zubenelgenubi C ScottDepartment of Physics, University of California, San Diego, La Jolla, CA, 92093, USA.
Aidan I BrownDepartment of Physics, Ryerson University, Toronto, Canada.
Saurabh S MogreDepartment of Physics, University of California, San Diego, La Jolla, CA, 92093, USA.
Laura M WestrateDepartment of Chemistry and Biochemistry, Calvin University, Grand Rapids, MI, 49546, USA.
Elena F KosloverDepartment of Physics, University of California, San Diego, La Jolla, CA, 92093, USA. ekoslover@ucsd.edu.ORCID http://orcid.org/0000-0003-4139-9209
University of California San Diego · USCalvin University · USToronto Metropolitan University · CA

Funding

Directorate for Biological Sciences 2034482Research Corporation for Science Advancement 26735
6 · The paper itself

Abstract

Several organelles in eukaryotic cells, including mitochondria and the endoplasmic reticulum, form interconnected tubule networks extending throughout the cell. These tubular networks host many biochemical pathways that rely on proteins diffusively searching through the network to encounter binding partners or localized target regions. Predicting the behavior of such pathways requires a quantitative understanding of how confinement to a reticulated structure modulates reaction kinetics. In this work, we develop both exact analytical methods to compute mean first passage times and efficient kinetic Monte Carlo algorithms to simulate trajectories of particles diffusing in a tubular network. Our approach leverages exact propagator functions for the distribution of transition times between network nodes and allows large simulation time steps determined by the network structure. The methodology is applied to both synthetic planar networks and organelle network structures, demonstrating key general features such as the heterogeneity of search times in different network regions and the functional advantage of broadly distributing target sites throughout the network. The proposed algorithms pave the way for future exploration of the interrelationship between tubular network structure and biomolecular reaction kinetics.

Identifiers

PMID34143351
PMCPMC8213674
OpenAlexW3169968617

What OpenQuestion holds

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LicenceCC BY
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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.