Evidence map›Paper›PMID 38073154›Full record

ArticleBiophysical journal2024

What determines sub-diffusive behavior in crowded protein solutions?

Vijay Phanindra Srikanth Kompella, Maria Carmen Romano, Ian Stansfield, Ricardo L Mancera

Abstract read
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. 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.

Vijay Phanindra Srikanth KompellaCurtin Medical School, Curtin Health Innovation Research Institute, Curtin Institute for Data Science, Curtin University, Perth, Western Australia, Australia; Department of Physics, Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, United Kingdom.
Maria Carmen RomanoDepartment of Physics, Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, United Kingdom; Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom.
Ian StansfieldInstitute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom.
Ricardo L ManceraCurtin Medical School, Curtin Health Innovation Research Institute, Curtin Institute for Data Science, Curtin University, Perth, Western Australia, Australia. Electronic address: r.mancera@curtin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aqueous environment inside cells is densely packed. A typical cell has a macromolecular concentration in the range 90-450 g/L, with 5%-40% of its volume being occupied by macromolecules, resulting in what is known as macromolecular crowding. The space available for the free diffusion of metabolites and other macromolecules is thus greatly reduced, leading to so-called excluded volume effects. The slow diffusion of macromolecules under crowded conditions has been explained using transient complex formation. However, sub-diffusion noted in earlier works is not well characterized, particularly the role played by transient complex formation and excluded volume effects. We have used Brownian dynamics simulations to characterize the diffusion of chymotrypsin inhibitor 2 in protein solutions of bovine serum albumin and lysozyme at concentrations ranging from 50 to 300 g/L. The predicted changes in diffusion coefficient as a function of crowder concentration are consistent with NMR experiments. The sub-diffusive behavior observed in the sub-microsecond timescale can be explained in terms of a so-called cage effect, arising from rattling motion in a local molecular cage as a consequence of excluded volume effects. By selectively manipulating the nature of interactions between protein molecules, we determined that excluded volume effects induce sub-diffusive dynamics at sub-microsecond timescales. These findings may help to explain the diffusion-mediated effects of protein crowding on cellular processes.

Indexed as

Molecular Dynamics SimulationProteinsDiffusionMacromolecular SubstancesMotionSolutionsWaterMacromolecular SubstancesProteinsSolutionsWater

Identifiers

PMID38073154
PMCPMC10808025

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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.