Evidence map›Paper›PMID 38897204›Full record

ArticleBiophysical journal2024

On the importance of the diffusivity gradient term in Brownian dynamics simulations.

Tomasz Skóra

Abstract readEditorial
In one paragraph

Article in Biophysical journal, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Tomasz SkóraScientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah. Electronic address: tskora@sci.utah.edu.

Funding

Computational models of cell mechanosensing through integrin-based adhesionsR35GM147491 · NIGMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Tamara Bidone · 2022 to 2026
$1.9M
NIGMS NIH HHS R35 GM147491
6 · The paper itself

Abstract

In a recent study, Garner et al. investigated diffusion in the cytoplasm of fission yeasts, revealing vast heterogeneity in intracellular viscosity. Their conclusion was based on a combination of single-particle-tracking experiments and Brownian dynamics simulations. However, in their simulations, the diffusivity gradient term has been neglected-an assumption common in some biophysical applications but unjustified in this particular case due to spatial variations in diffusivity. Here, we aim to comment on the importance of the diffusivity gradient term and the physical consequences of not including it. We also demonstrate that omitting this term likely leads to overestimating fission yeast intracellular viscosity variance and underestimating its mean. Additionally, we propose modifications to the simulations to incorporate the gradient term.

Indexed as

SchizosaccharomycesComputer SimulationDiffusionModels, BiologicalViscosity

Identifiers

PMID38897204
PMCPMC11365100

What OpenQuestion holds

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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.