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Molecular crowding effects on protein stability in a bacterial proteome
Kate McKeever1,2,3, Eugene T Dillon2, Kieran Wynne2,4
1BiOrbic - Bioeconomy Research Centre, Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
Molecular crowding affects protein stability, with different agents impacting proteins uniquely. Data suggest direct interactions, not just excluded volume, explain enhanced protein stability in crowded cellular environments.
Area of Science:
- Biochemistry
- Cell Biology
- Proteomics
Background:
- Molecular crowding, the spatial restriction by macromolecules, influences cellular processes like protein folding and interactions.
- The cellular environment is highly crowded, impacting molecular behavior differently than dilute experimental conditions.
- The relative contributions of entropic and enthalpic effects in molecular crowding remain debated.
Purpose of the Study:
- To investigate the impact of common molecular crowders on the stability of a bacterial proteome.
- To determine how different crowding agents affect individual protein stability within a complex proteome.
- To elucidate the mechanisms underlying protein stability changes in response to molecular crowding.
Main Methods:
- Utilized Thermal Proteome Profiling (TPP) to assess protein melting temperatures across a heat gradient.
- Tested the effects of six different molecular crowding agents (Ficoll, dextran, PEG) on the proteome of Cupriavidus necator.
- Analyzed protein stability changes and correlated them with protein properties like hydrophobicity and function.
Main Results:
- All tested crowders reduced the global mean melting temperature of the proteome.
- Specific proteins exhibited significantly increased or decreased stability depending on the crowder.
- Proteins showing enhanced stability were often hydrophobic, enzymatic, or involved in protein interactions.
- Individual proteins displayed varied sensitivities to multiple crowding agents.
Conclusions:
- Molecular crowding agents differentially affect protein stability within a proteome.
- The findings support a direct binding or preferential exclusion model for enhanced protein stability.
- These results challenge models solely based on viscosity or general excluded volume effects.
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