Evidence map›Paper›PMID 25468337›Full record

ArticleBiophysical journal2014

Diffusion within the cytoplasm: a mesoscale model of interacting macromolecules.

Fabio Trovato, Valentina Tozzini

Abstract read
In one paragraph

Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Intracellular CaBiologia futura · 2025
    Review
  2. Article
  3. Macromolecular interactions and geometrical confinement determine the 3D diffusion of ribosome-sized particles in liveProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Optimal density of bacterial cells.PLoS computational biology · 2023
    Article
  12. Article
  13. Pore-like diffusion barriers in murine cardiac myocytes.bioRxiv : the preprint server for biology · 2023
    Article
  14. Computational Modeling and Imaging of the Intracellular Oxygen Gradient.International journal of molecular sciences · 2022
    Article
  15. Article
  16. Review
  17. Review
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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

2 authors.

Fabio TrovatoIstituto Nanoscienze del Cnr, NEST-Scuola Normale Superiore, Pisa, Italy; Center for Nanotechnology and Innovation@NEST-Istituto Italiano di Tecnologia, Piazza San Silvestro 12, 56127, Pisa, Italy. Electronic address: fabiotrovato@gmail.com.
Valentina TozziniIstituto Nanoscienze del Cnr, NEST-Scuola Normale Superiore, Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experiments carried out in the dense cytoplasm of living cells have highlighted the importance of proteome composition and nonspecific intermolecular interactions in regulating macromolecule diffusion and organization. Despite this, the dependence of diffusion-interaction on physicochemical properties such as the degree of poly-dispersity and the balance between steric repulsion and nonspecific attraction among macromolecules was not systematically addressed. In this work, we study the problem of diffusion-interaction in the bacterial cytoplasm, combining theory and experimental data to build a minimal coarse-grained representation of the cytoplasm, which also includes, for the first time to our knowledge, the nucleoid. With stochastic molecular-dynamics simulations of a virtual cytoplasm we are able to track the single biomolecule motion, sizing from 3 to 80 nm, on submillisecond-long trajectories. We demonstrate that the size dependence of diffusion coefficients, anomalous exponents, and the effective viscosity experienced by biomolecules in the cytoplasm is fine-tuned by the intermolecular interactions. Accounting only for excluded volume in these potentials gives a weaker size-dependence than that expected from experimental data. On the contrary, adding nonspecific attraction in the range of 1-10 thermal energy units produces a stronger variation of the transport properties at growing biopolymer sizes. Normal and anomalous diffusive regimes emerge straightforwardly from the combination of high macromolecular concentration, poly-dispersity, stochasticity, and weak nonspecific interactions. As a result, small biopolymers experience a viscous cytoplasm, while the motion of big ones is jammed because the entanglements produced by the network of interactions and the entropic effects caused by poly-dispersity are stronger.

Indexed as

Models, BiologicalBiological TransportCytoplasmDiffusionEscherichia coliMacromolecular SubstancesThermodynamicsTime FactorsViscosityMacromolecular Substances

Identifiers

PMID25468337
PMCPMC4255235

What OpenQuestion holds

Textmetadata
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.