Agent skill
cell-free-expression
Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).
Install this agent skill to your Project
npx add-skill https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/cell-free-expression
SKILL.md
Cell-Free Protein Synthesis (CFPS)
System Selection Guide
| System | Best For | Yield | PTMs | Disulfides | Cost |
|---|---|---|---|---|---|
| E. coli extract | Rapid prototyping, prokaryotic proteins | High (100-400 μg/mL) | None | Poor (reducing) | Low |
| E. coli PURE | Defined conditions, unnatural AAs | Medium (50-150 μg/mL) | None | Controllable | High |
| Wheat germ | Eukaryotic proteins, membrane proteins | High (100-500 μg/mL) | Limited | Moderate | Medium |
| Rabbit reticulocyte | Mammalian proteins, post-translational studies | Low (10-50 μg/mL) | Some | Poor | High |
| Insect (Sf21) | Glycoproteins, complex folds | Medium (50-100 μg/mL) | Glycosylation | Good | High |
| HeLa/CHO | Native mammalian proteins | Low (10-50 μg/mL) | Full mammalian | Good | Very High |
CFPS Troubleshooting Matrix
| Problem | Likely Causes | Design Fix | Reagent Fix |
|---|---|---|---|
| No expression | Rare codons at N-terminus, poor RBS | Codon optimize first 30 codons | Use BL21-CodonPlus extract |
| Low yield | Strong mRNA secondary structure, template issues | Optimize 5' UTR (ΔG > -5 kcal/mol) | Increase Mg²⁺ (10-18 mM), ATP |
| Aggregation | Hydrophobic protein, fast translation | Add solubility tags (MBP, SUMO) | Add 0.1% Tween-20, chaperones |
| Inactive protein | Misfolding, missing cofactors | Slow translation (use rare codons!) | Add GroEL/ES, DnaK/J |
| Truncation | Rare codon clusters, mRNA instability | Remove AGG/AGA/CUA clusters | Supplement rare tRNAs |
| Degradation | Proteolysis | N-terminal Met-Ala | Add protease inhibitors |
Codon Optimization for CFPS
Codons to Avoid in E. coli CFPS
| Codon | Amino Acid | Issue | tRNA Abundance |
|---|---|---|---|
| AGG | Arg | Very rare, stalling | 0.2% |
| AGA | Arg | Very rare, stalling | 0.4% |
| CUA | Leu | Low abundance | 0.4% |
| AUA | Ile | Rare | 0.5% |
| CGA | Arg | Inefficient decoding | 0.6% |
| CCC | Pro | Can cause pausing | 0.5% |
| GGA | Gly | Moderate | 1.1% |
Design Rules
- First 30 codons: Most critical - use only high-frequency codons
- Rare codon clusters: Avoid 2+ rare codons within 10 nt
- Rare codon content: Keep overall <5% of coding sequence
- GC content: Target 40-60% for balanced expression
- Avoid runs: No >6 consecutive G or C residues (secondary structure)
- Strategic slow codons: Place rare codons between domains (aids folding!)
When to Use Rare Codons
- Domain boundaries (allow cotranslational folding)
- Before complex structural elements
- When protein is prone to misfolding
mRNA Template Design
5' UTR Optimization
| Element | Optimal Design | Impact |
|---|---|---|
| RBS (SD sequence) | AGGAGG, 7-9 nt from start | Ribosome binding |
| Spacing | 7 nt between SD and AUG | Translation initiation |
| Secondary structure | ΔG > -5 kcal/mol | Accessibility |
| Upstream AUG | Avoid (causes false starts) | Reduces truncations |
Secondary Structure Targets
| Region | Ideal ΔG | Impact |
|---|---|---|
| -30 to +30 around AUG | > -5 kcal/mol | Translation initiation |
| Full 5' UTR | > -10 kcal/mol | Ribosome loading |
| RBS accessibility | Unpaired | Critical |
Template Format
| Format | Advantages | Disadvantages |
|---|---|---|
| Plasmid | Stable, high yield | Requires cloning |
| Linear PCR | Fast, no cloning | May need stabilization |
| mRNA | Direct translation | Unstable, expensive |
Disulfide Bond Formation
System Capabilities
| System | Native Disulfide Support | Additives Needed |
|---|---|---|
| Standard E. coli extract | Poor (DTT present) | IAM, PDI, GSSG/GSH |
| Oxidizing E. coli extract | Good | Pre-oxidized glutathione |
| Wheat germ | Moderate | Lower DTT, add PDI |
| PURE system | Minimal | Full oxidative system |
| Insect/Mammalian | Good | Microsome membranes |
Oxidative Folding Protocol (E. coli extract)
1. Deplete DTT from extract (dialysis or treatment with IAM 5 mM)
2. Add oxidized/reduced glutathione: 4 mM GSSG, 1 mM GSH (4:1 ratio)
3. Add 10 μM PDI (protein disulfide isomerase)
4. Optional: Add 5 μM DsbC (disulfide isomerase)
5. Express at 25°C (not 37°C) for better folding
6. Incubation time: 4-6 hours
Disulfide-Rich Protein Tips
- Start with wheat germ or oxidizing extract
- Use PURE system for precise control
- Consider co-expression of PDI/DsbC
- Verify by non-reducing SDS-PAGE
Expression Prediction from Sequence
| Feature | Good | Marginal | Bad |
|---|---|---|---|
| Rare codon content | <3% | 3-8% | >10% |
| First 30 codons rare | 0 | 1-2 | >2 |
| GC content | 45-55% | 35-45% or 55-65% | <30% or >70% |
| 5' UTR ΔG | > -3 kcal/mol | -3 to -8 | < -10 kcal/mol |
| Hydrophobic stretches | <5 consecutive | 5-7 | >8 consecutive |
| N-terminal residue | Met-Ala, Met-Ser, Met-Gly | Met-Val, Met-Thr | Met-Arg, Met-Lys |
| Cysteine pairs | Paired (even number) | Mixed | Odd number (free thiols) |
Solubility Enhancement Strategies
Fusion Tags (ranked by effectiveness)
| Tag | Size | Solubility Enhancement | Cleavage | Notes |
|---|---|---|---|---|
| MBP | 40 kDa | Excellent | TEV, Factor Xa | Best overall |
| SUMO | 11 kDa | Very Good | SUMO protease | Native N-terminus after cleavage |
| NusA | 55 kDa | Excellent | - | Large size |
| Trx | 12 kDa | Good | Enterokinase | For disulfide proteins |
| GST | 26 kDa | Moderate | - | Dimeric |
| His₆ | 1 kDa | Minimal | - | Mainly for purification |
Buffer Additives for Solubility
| Additive | Concentration | Mechanism |
|---|---|---|
| Trehalose | 50-100 mM | Chemical chaperone |
| Glycerol | 5-10% | Reduces hydrophobic aggregation |
| L-Arginine | 50-100 mM | Suppresses aggregation |
| Tween-20 | 0.05-0.1% | Prevents surface adsorption |
| Proline | 50 mM | Osmolyte stabilization |
Chaperone Supplementation
| Chaperone System | Target Problem | Concentration |
|---|---|---|
| GroEL/GroES | General folding | 1-2 μM |
| DnaK/DnaJ/GrpE | Aggregation-prone | 1 μM each |
| Trigger Factor | Nascent chain | 1-2 μM |
| ClpB | Aggregate resolubilization | 0.5 μM |
Temperature Optimization
| Temperature | Use Case | Trade-offs |
|---|---|---|
| 37°C | Fast expression, stable proteins | Higher aggregation risk |
| 30°C | Balanced (default) | Good compromise |
| 25°C | Disulfide proteins, complex folds | Slower, better folding |
| 18-20°C | Aggregation-prone proteins | Much slower, best folding |
| 16°C | Cold-shock proteins | Very slow, specialized |
E. coli Extract Preparation (Key Variables)
| Variable | Impact | Optimal Range |
|---|---|---|
| Cell density at harvest | Ribosome content | OD₆₀₀ 2.5-3.5 |
| Lysis method | Extract activity | Sonication, bead beating |
| Run-off reaction | Removes endogenous mRNA | 20-80 min at 37°C |
| Mg²⁺ concentration | Translation fidelity | 10-18 mM |
| K⁺ concentration | Translation rate | 150-200 mM |
| Energy system | Sustained synthesis | ATP/GTP, creatine phosphate |
PURE System Specifics
Advantages
- Defined composition (no proteases/nucleases)
- Linear DNA templates work well
- Unnatural amino acid incorporation
- Reproducible between batches
Limitations
- No chaperones (add separately)
- No post-translational modifications
- Lower yields than crude extracts
- Higher cost
When to Use PURE
- Unnatural amino acid incorporation
- Studying translation mechanisms
- "Clean" proteins needed
- Protease-sensitive targets
- Linear template expression
Common Artifacts and Solutions
Low Molecular Weight Bands
Causes: Premature termination, proteolysis, internal initiation Solutions:
- Optimize rare codon clusters
- Add protease inhibitors
- Check for internal AUG codons
- Use PURE system
Higher MW Bands
Causes: Incomplete termination, read-through, aggregation Solutions:
- Ensure strong stop codon (UAA preferred)
- Check template 3' end
- Add release factors (RF1/RF2)
- Reduce protein concentration
No Soluble Protein
Causes: Aggregation during synthesis Solutions:
- Lower temperature (25°C → 18°C)
- Add chaperones
- Use solubility tag
- Optimize translation rate
References
CFPS Overview
- User's Guide to CFPS - PMC
- Optimising Protein Synthesis in Cell-Free Systems - PMC
- CFPS Systems Comparison - PMC
Extract Preparation
- Crude Extract Preparation - MDPI Methods
- Simple Rapid Cell-Free Lysate - PLOS One
- High-Throughput Extract Preparation - Nature Scientific Reports
PURE System
Wheat Germ
Codon Optimization
- Rare Codons and Solubility - PMC
- Codon Influence on Expression - Nature
- Synonymous Codon Substitutions Perturb Folding - PNAS
Disulfide Formation
Solubility Tags
Temperature Effects
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
vcf-annotator
Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.
chemist-analyst
Analyzes events through chemistry lens using molecular structure, reaction mechanisms, thermodynamics, kinetics, and analytical techniques (spectroscopy, chromatography, mass spectrometry). Provides insights on chemical processes, material properties, reaction pathways, synthesis, and analytical methods. Use when: Chemical reactions, material analysis, synthesis planning, process optimization, environmental chemistry. Evaluates: Molecular structure, reaction mechanisms, yield, selectivity, safety, environmental impact.
bio-alignment-io
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.
sleep-analyzer
分析睡眠数据、识别睡眠模式、评估睡眠质量,并提供个性化睡眠改善建议。支持与其他健康数据的关联分析。
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
bio-hi-c-analysis-matrix-operations
Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices. Use when normalizing or transforming Hi-C matrices.
Didn't find tool you were looking for?