Evidence map›Paper›PMID 28615492›Full record

ArticleJournal of the Royal Society, Interface2017

Macromolecular crowding directs the motion of small molecules inside cells.

Stephen Smith, Claudia Cianci, Ramon Grima

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

3 authors.

Stephen SmithSchool of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK.
Claudia CianciSchool of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK.
Ramon GrimaSchool of Biological Sciences, University of Edinburgh, Mayfield Road, Edinburgh EH9 3JR, UK ramon.grima@ed.ac.uk.ORCID 0000-0002-1266-8169

Funding

Biotechnology and Biological Sciences Research Council RPG-2013-171
6 · The paper itself

Abstract

It is now well established that cell interiors are significantly crowded by macromolecules, which impede diffusion and enhance binding rates. However, it is not fully appreciated that levels of crowding are heterogeneous, and can vary substantially between subcellular regions. In this article, starting from a microscopic model, we derive coupled nonlinear partial differential equations for the concentrations of two populations of large and small spherical particles with steric volume exclusion. By performing an expansion in the ratio of the particle sizes, we find that the diffusion of a small particle in the presence of large particles obeys an advection-diffusion equation, with a reduced diffusion coefficient and a velocity directed towards less crowded regions. The interplay between advection and diffusion leads to behaviour that differs significantly from Brownian diffusion. We show that biologically plausible distributions of macromolecules can lead to highly non-Gaussian probability densities for the small particle position, including asymmetrical and multimodal densities. We confirm all our results using hard-sphere Brownian dynamics simulations.

Indexed as

Biophysical PhenomenaCell Physiological PhenomenaCellsDiffusionMacromolecular SubstancesModels, BiologicalMotionParticle SizeProteinsMacromolecular SubstancesProteinsadvection–diffusion equationsBrownian dynamicsmacromolecular crowdingvolume exclusion

Identifiers

PMID28615492
PMCPMC5493789

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.