Effects of cryo-EM cooling on structural ensembles
Abstract
Structure determination by cryo electron microscopy (cryo-EM) provides information on structural heterogeneity and ensembles at atomic resolution. To obtain cryo-EM images of macromolecules, the samples are first rapidly cooled down to cryogenic temperatures. To what extent the structural ensemble is perturbed during cooling is currently unknown. Here, to quantify the effects of cooling, we combined continuum model calculations of the temperature drop, molecular dynamics simulations of a ribosome complex before and during cooling with kinetic models. Our results suggest that three effects markedly contribute to the narrowing of the structural ensembles: thermal contraction, reduced thermal motion within local potential wells, and the equilibration into lower free-energy conformations by overcoming separating free-energy barriers. During cooling, barrier heights below 10 kJ/mol were found to be over-come, which is expected to reduce B-factors in ensembles imaged by cryo-EM. Our approach now enables the quantification of the heterogeneity of room-temperature ensembles from cryo-EM structures.
02 /Specification & Classification
Click any tag to browse matching papers- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Cooling fast and slow: Characterising the effects of vitrification in cryo-EM and the subsequent recovery of equilibrium populations
Robert Clark, Louis G. Smith, … Sonya M. Hanson·bioRxiv·Apr 24, 2026
- CryoENsemble - a Bayesian approach for reweighting biomolecular structural ensembles using heterogeneous cryo-EM maps
T. Wlodarski, J. O. Streit, … J. Christodoulou·bioRxiv·Nov 21, 2023
- A Mechanism for Beam-Induced Motion in Cryo-Electron Microscopy
R. E. Thorne·IUCrJPeer-reviewed·Mar 26, 2020
- Cryo-EM structure and B-factorrefinement with ensemble representation
T. Cragnolini, J. Beton, M. Topf·bioRxiv·Jun 8, 2022
- Cryo-electron microscopy ensemble optimization using individual particles and physical constraints
David Silva-Sánchez, Alison Berezuk, … Pilar Cossio·Journal of Chemical Theory and ComputationPeer-reviewed·May 11, 2026
- Cryo-EM reveals the structure and dynamics of a 723-residue malate synthase G