A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion

Area of Science:

• Structural Biology
• Biophysics
• Biochemistry

Background:

• Single-particle cryo-electron microscopy (cryo-EM) is a key technique for determining high-resolution macromolecular structures.
• Various software packages exist for cryo-EM data processing, each with unique algorithms and user expertise requirements.
• Optimal structure determination often necessitates data transfer between different software platforms.

Purpose of the Study:

• To provide a practical guide for navigating a cross-platform workflow for cryo-EM structure determination.
• To demonstrate the integration of cryoSPARC v3, RELION-3, and Scipion 3 for robust data processing.
• To achieve near-atomic resolution structure of adeno-associated virus (AAV) through a unified workflow.

Main Methods:

• Detailed an image processing pipeline using cryoSPARC v3 for initial 3D map generation.
• Utilized PyEM and custom scripts to transfer particle coordinates from cryoSPARC v3 to RELION-3 and Scipion 3.
• Performed 3D reconstruction, refinement, and validation by integrating algorithms from RELION-3 and Scipion 3.

Main Results:

• Successfully generated a near-atomic resolution structure of adeno-associated virus (AAV).
• Demonstrated the effectiveness of integrating cryoSPARC v3, RELION-3, and Scipion 3 for enhanced cryo-EM data processing.
• Established a robust, multi-platform workflow applicable to diverse cryo-EM datasets.

Conclusions:

• A unified workflow combining cryoSPARC, RELION, and Scipion enables efficient and high-resolution cryo-EM structure determination.
• Cross-platform data integration is crucial for leveraging the strengths of different software packages.
• This approach facilitates robust structural analysis for a wide range of macromolecules.