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Updated: Mar 25, 2026

Single Particle Cryo-Electron Microscopy: From Sample to Structure
Published on: May 29, 2021
Continuous changes in structure mapped by manifold embedding of single-particle data in cryo-EM
Joachim Frank1, Abbas Ourmazd2
1Howard Hughes Medical Institute, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, United States; Department of Biological Sciences, Columbia University, New York, NY 10027, United States.
Cryo-electron microscopy (cryo-EM) now achieves high resolution, enabling the study of discrete macromolecular structures. A new manifold embedding technique visualizes continuous structural changes and molecular machine work cycles.
Area of Science:
- Structural Biology
- Biophysics
- Computational Biology
Background:
- Cryo-electron microscopy (cryo-EM) coupled with single-particle reconstruction is a leading technique for determining macromolecular structures.
- Advancements in detector technology have significantly improved cryo-EM resolution, rivaling X-ray crystallography.
- Traditional cryo-EM excels at resolving distinct structural states within a sample.
Purpose of the Study:
- To introduce and discuss a novel manifold embedding technique for analyzing continuous structural variations.
- To demonstrate the application of this technique for observing the complete work cycle of molecular machines.
- To map the free-energy landscape of dynamic biological processes.
Main Methods:
- Application of manifold embedding for analyzing continuous structural transitions in cryo-EM data.
- Utilizing large single-particle datasets, specifically yeast ribosomes, for technique validation.
- High-resolution cryo-electron microscopy and single-particle reconstruction.
Main Results:
- Demonstration of manifold embedding's capability to analyze continuous structural dynamics.
- Potential to visualize the entire functional cycle of molecular machines.
- Enables mapping of the free-energy landscape associated with conformational changes.
Conclusions:
- Manifold embedding offers a powerful new approach for studying dynamic macromolecular processes beyond discrete states.
- This technique significantly expands the scope of cryo-EM for understanding molecular machine function.
- Future applications include detailed analysis of complex biological work cycles and energy landscapes.
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