ArticleScientific reports2026
Molecular crowding effects on protein stability in a bacterial proteome.
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.
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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.
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Who cites it
1 citing paper in PubMed.
- Protein aggregation as a bistable switch in bacterial cell fate: from adaptive dormancy to cytotoxic death.Frontiers in microbiology · 2026Review
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Authors and funding
4 authors.
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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.
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