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Updated: Aug 5, 2026

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Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding
Published on: August 22, 2016
Protein crowders remodel RNA electrostatics, hydration, and dynamics: a challenge to steric crowding models
Anja Henning-Knechtel1, Marko Brnović1, Weiwei He1
1Chemistry Program, Math and Sciences, New York University Abu Dhabi, Abu Dhabi, 12988, UAE.
Nucleic Acids Research
|July 31, 2026
Summary
Synthetic crowders like PEG do not fully replicate intracellular conditions for RNA. Protein crowders significantly alter RNA behavior and dynamics, unlike PEG, highlighting the importance of crowder identity in biological simulations.
Area of Science:
- Biophysics
- Molecular Biology
- Computational Chemistry
Background:
- The intracellular environment is a crowded milieu of macromolecules.
- The accuracy of in vitro models, such as polyethylene glycol (PEG) crowders, in mimicking in vivo RNA interactions is not well understood.
Purpose of the Study:
- To investigate the impact of different crowding conditions (dilute, PEG-crowded, and protein-crowded) on the behavior of the HIV-1 TAR RNA hairpin.
- To compare the effects of synthetic PEG crowders versus realistic protein crowders on RNA structure, electrostatics, and dynamics.
Main Methods:
- Utilized all-atom molecular dynamics simulations.
- Analyzed the HIV-1 TAR RNA hairpin in various crowding solutions.
Main Results:
- PEG crowders primarily exert excluded-volume effects, maintaining RNA hydration and ion condensation similar to dilute conditions.
- Protein crowders significantly alter RNA electrostatics, reduce ion condensation by ~60%, displace water, and form specific contacts with charged residues.
- Protein crowding leads to local RNA expansion, altered conformational landscape, and significantly reduced RNA and solvent dynamics, while PEG has minimal effects.
Conclusions:
- The identity of crowders critically influences RNA behavior and interactions within simulated environments.
- Polyethylene glycol (PEG) is not a universal model for intracellular crowding due to its limited representation of complex biological interactions.
- Findings provide mechanistic insights for RNA studies in biologically relevant, crowded conditions.

