Evidence map›Paper›PMID 41565776›Full record

ArticleScientific reports2026

Molecular crowding effects on protein stability in a bacterial proteome.

Kate McKeever, Eugene T Dillon, Kieran Wynne, Gerard Cagney

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kate McKeeverBiOrbic - Bioeconomy Research Centre, Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Eugene T DillonUCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Kieran WynneUCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Gerard CagneyBiOrbic - Bioeconomy Research Centre, Ireland, University College Dublin, Belfield, Dublin 4, Ireland. gerard.cagney@ucd.ie.

Funding

Science Foundation Ireland 16/RC/3889
6 · The paper itself

Abstract

Molecular crowding refers to the restriction of space available for molecular mobility in solution due to the presence of other macromolecules. Crowding can influence biological phenomena such as protein stability and folding, diffusion, enzyme kinetics, molecular interactions, and phase separation. However, the relative contributions of entropic (excluded volume) and enthalpic (direct chemical interactions) is still an open question. In contrast to biochemical studies that employ dilute solutions containing a small number of reactants, the cellular environment is considered to be highly crowded, with up to 40% of cell volume occupied by many thousands of proteins and other large biomolecules. We examined the protein stability effects of widely used molecular crowders in a bacterial proteome (Cupriavidus necator) using the Thermal Proteome Profiling (TPP) method, whereby melting temperature is estimated based on protein denaturation and aggregation over a heat gradient. While all six tested compounds (Ficoll 70, Ficoll 400, dextran 40, dextran 86, PEG 1, PEG 8) reduced the global mean melting temperature, significantly increased or decreased stability was observed among distinct subsets of the proteome, with some individual proteins showing sensitivity to multiple crowding agents. Proteins displaying enhanced stability in the presence of crowding agents were more likely to be annotated as hydrophobic, to show classic enzyme-like properties, or propensity for protein interactions. Our data favour a direct binding/preferential exclusion model of enhanced stability, rather than alternative models based on viscosity or crowding.

Indexed as

Bacterial ProteinsProteomeHydrophobic and Hydrophilic InteractionsProtein DenaturationProtein FoldingProtein StabilityThermodynamicsBacterial ProteinsProteome

Identifiers

PMID41565776
PMCPMC12894976

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.