Crowding‐induced stabilization and destabilization in a single protein

The protein concentration in cells can reach 300 g/L. These crowded conditions affect protein stability. Classic crowding theories predict entropically driven stabilization, which occurs via steric repulsion, but growing evidence shows a role for non-covalent chemical interactions. To aid our understanding of physiologically relevant crowding, we used NMR-detected <sup>1</sup>H-<sup>2</sup>H exchange to examine a simple, semi-reductionist system: protein self-crowding at the residue level using the widely studied model globular protein, GB1 (the B1 domain streptococcal protein G) at concentrations up to its solubility limit, 100 g/L. The surprising result is that self-crowding stabilizes some residues but destabilizes others, contradicting predictions. Two other observations are also contradictory. First, temperature-dependence data show that stabilization can arise enthalpically, not just entropically. Second, concentration-dependence data show destabilization often increases with increasing concentration. These results show a key role for chemical interactions. More specifically, self-crowding increases the free energy required to expose those residues that are only exposed upon complete unfolding, and stabilization of these globally unfolding residues increases with GB1 concentration, a result we attribute to repulsive chemical interactions between GB1 molecules. On the other hand, residues exposed upon local unfolding tend to be destabilized, with destabilization increasing with concentration, a result we attribute to attractive chemical interactions between GB1 molecules.

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Publication Details

Journal
Protein Science
Published
2025-04-22
DOI
https://doi.org/10.1002/pro.70126
Citations
3
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
2.42

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article

Crowding‐induced stabilization and destabilization in a single protein

Gary J. Pielak, Jordyn M. Markle, Tarynn D. Neal, Hania S. Kantzer
3 citations
Protein Science
Protein Structure and Dynamics
2.42
article

Crowding‐induced stabilization and destabilization in a single protein

Gary J. Pielak, Jordyn M. Markle, Tarynn D. Neal, Hania S. Kantzer
article en
3 citations

Abstract

The protein concentration in cells can reach 300 g/L. These crowded conditions affect protein stability. Classic crowding theories predict entropically driven stabilization, which occurs via steric repulsion, but growing evidence shows a role for non-covalent chemical interactions. To aid our understanding of physiologically relevant crowding, we used NMR-detected <sup>1</sup>H-<sup>2</sup>H exchange to examine a simple, semi-reductionist system: protein self-crowding at the residue level using the widely studied model globular protein, GB1 (the B1 domain streptococcal protein G) at concentrations up to its solubility limit, 100 g/L. The surprising result is that self-crowding stabilizes some residues but destabilizes others, contradicting predictions. Two other observations are also contradictory. First, temperature-dependence data show that stabilization can arise enthalpically, not just entropically. Second, concentration-dependence data show destabilization often increases with increasing concentration. These results show a key role for chemical interactions. More specifically, self-crowding increases the free energy required to expose those residues that are only exposed upon complete unfolding, and stabilization of these globally unfolding residues increases with GB1 concentration, a result we attribute to repulsive chemical interactions between GB1 molecules. On the other hand, residues exposed upon local unfolding tend to be destabilized, with destabilization increasing with concentration, a result we attribute to attractive chemical interactions between GB1 molecules.

Protein ScienceVol. 34(5)
University of North Carolina at Chapel Hill (US)
National Science Foundation, National Institutes of Health
Affordable and clean energy
Openalex Percentile: Top 12%
Protein Structure and Dynamics
2.42
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