A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
January 31st, 2022
This article describes how to effectively utilize three cryo-EM processing platforms, i.e., cryoSPARC v3, RELION-3, and Scipion 3, to create a single and robust workflow applicable to a variety of single-particle data sets for high-resolution structure determination.
Overview
This article provides a protocol for utilizing three cryo-EM processing platforms—cryoSPARC v3, RELION-3, and Scipion 3—to create a robust workflow for high-resolution structure determination of macromolecules. The focus is on achieving optimal results through the combination of different software packages.
Key Study Components
Area of Science
- Cryo-electron microscopy
- Structural biology
- Macromolecular imaging
Background
- Single-particle cryo-EM allows for near-atomic resolution structure determination.
- Different software packages yield varying quality and resolution in 3D maps.
- Combining multiple programs can enhance results.
- This protocol focuses on the adeno-associated virus, a vector for gene therapy.
Purpose of Study
- To guide users in navigating workflows across multiple cryo-EM platforms.
- To demonstrate the use of a combined pipeline for high-resolution structure determination.
- To optimize the processing of single-particle data sets.
Methods Used
- Utilization of cryoSPARC v3 for initial project setup.
- Integration of RELION-3 for structure calculations.
- Application of Scipion 3 for workflow management.
- Demonstration of the pipeline using adeno-associated virus data.
Main Results
- Successful navigation of workflows across the three platforms.
- High-resolution structure of the adeno-associated virus obtained.
- Demonstrated improvement in 3D map quality through combined software use.
- Protocol provides a comprehensive guide for researchers.
Conclusions
- The combined use of cryo-EM platforms enhances structure determination.
- This protocol serves as a valuable resource for researchers in structural biology.
- Future applications may extend to other macromolecules and data sets.
Frequently Asked Questions
Executive Industry Relevance
Integrating cryoSPARC, RELION, and Scipion into a unified cryo-EM processing workflow enables biopharma R&D teams to achieve near-atomic resolution structures of macromolecular assemblies, such as gene therapy vectors. This cross-platform approach enhances predictive confidence in structural data, supporting critical inflection points in target validation and lead optimization. The workflow's adaptability and reproducibility position it as a reusable enterprise capability for structure-based drug discovery portfolios.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables high-resolution interrogation of therapeutic targets and vector systems.
- Supports biological de-risking by clarifying macromolecular architecture and assembly.
- Improves predictive confidence for downstream functional and mechanistic studies.
- Facilitates portfolio triage by providing robust structural benchmarks.
Screening & Assay Development
- Prepares validated structural models for rational assay design and compound screening.
- Standardizes image processing and reconstruction outputs for reproducibility.
- Delivers quantitative 3D maps suitable for comparative analysis across candidates.
- Enables scalable workflows for high-throughput structure determination.
Translational & Preclinical Research
- Aligns structural data with disease-relevant systems, such as viral vectors for gene therapy.
- Ensures continuity from discovery through preclinical validation by supporting iterative refinement.
- Reduces translational risk by providing validated atomic models for functional studies.
- Supports biomarker alignment when structural features inform mechanism-of-action hypotheses.
Pipeline & Workflow Integration
This workflow bridges early discovery, lead identification, and preclinical research by enabling robust, reproducible structure determination across platforms.
- Discovery Biology: Facilitates hypothesis testing and pathway clarification through high-resolution structural insights.
- Screening: Provides standardized, reproducible 3D maps for assay readiness and compound evaluation.
- Analytics: Generates quantitative outputs, such as FSC curves and resolution histograms, for cross-condition comparison.
- Translational Research: Maintains preclinical continuity by supporting iterative refinement and validation of therapeutic vectors.
- Enterprise Reuse: Establishes a modular, cross-platform workflow adaptable to diverse macromolecular targets.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in structural biology pipelines.
- Operational Value: Delivers standardized, reproducible, and scalable cryo-EM processing across teams.
- Strategic Value: Enables informed go/no-go decisions and capital-efficient advancement of structural targets.
- Portfolio Impact: Supports risk-adjusted prioritization and advancement of structure-based discovery programs.
Implementation Considerations
- Requires expertise in cryo-EM data acquisition and multi-platform image processing.
- Demands access to high-performance computing and specialized analytical infrastructure.
- Necessitates cross-team standardization of data formats and processing parameters.
- Must adapt workflow parameters to sample and microscope-specific characteristics.
- Resolution outcomes are contingent on raw data quality and sample preparation.
Biopharma FAQs
Chapters in this video
0:04
Introduction
0:56
Creating a New CryoSPARC v3 Project and Importing Data
1:34
CryoSPARC v3: Movie Alignment and Contrast Transfer Function (CTF) Estimation
2:52
CryoSPARC v3: Manual and Template-Based Particle Picking
4:21
CryoSPARC v3: 2D Classification
4:52
CryoSPARC v3: Ab-initio Reconstruction and Homogeneous Refinement
5:31
Exporting Particle Coordinates from CryoSPARC v3 and Importing Them to RELION-3 Using PyEM
5:56
RELION-3: Particle Extraction and 2D Classification, 3D Refinement, Mask Creation, and Post-Processing
7:41
RELION-3: Polishing Training, Particle Polishing, CTF, and Per-Particle Refinements
9:15
Transferring RELION-3 Particle Coordinates and 3D Map to Scipion 3
10:05
Scipion 3: High-Resolution Refinement
11:21
Results: Using cryoSPARC v3, RELION-3, and Scipion 3 to Obtain a High-Resolution 3D Reconstruction of the Adeno-Associated Virus
12:52
Conclusion
