Lecture 7 Paper 5
🧪 Chapter 1 – Special Topics in Chromatography
🔹 Special Topic 1.1: Purification of Recombinant Fusion Proteins (Affinity Chromatography)
🧬 Core idea
You genetically fuse a tag to your protein → use specific binding interactions to purify it.
🧷 Two major tagging strategies:
1️⃣ GST-tag purification
- Protein is fused to Glutathione-S-transferase (GST)
- Binds specifically to glutathione (GSH) resin
📌 Workflow (Figure 1.54):
- Express fusion protein in E. coli
- Load lysate → only GST-tagged protein binds
- Wash → contaminants flow through
- Elute with glutathione
- Cleave GST using thrombin
- Re-run → pure protein flows through
👉 Key insight:
- GST acts like a handle for purification
2️⃣ His-tag purification (IMAC)
- Protein fused to 6 histidines
- Binds to Ni²⁺ or Zn²⁺ metal columns
📌 Workflow (Figure 1.55):
- Load lysate → His-tag binds metal ions
- Wash → contaminants removed
- Elute by changing pH or imidazole
- Cleave tag using enterokinase
- Re-purify → target protein isolated
👉 Key insight:
- His-tag purification is simple, fast, and widely used
⚠️ Important concept:
- A protease cleavage site is inserted between tag and protein
- This allows removal of the tag after purification
🔹 Special Topic 1.2: Donnan Equilibrium & Ion Exchange
⚡ Core concept:
When a charged macromolecule (like protein) is trapped behind a membrane → ion distribution becomes asymmetric.
🧪 Dialysis example (Figure 1.56)
- Inside: protein (negative), Na⁺, Cl⁻
- Outside: only Na⁺ and Cl⁻
👉 At equilibrium:
- (Cl^- < Cl^-)
- (Na^+ > Na^+)
📌 Why?
- Electroneutrality must be maintained
- Protein cannot leave → ions redistribute
⚡ Donnan effect in ion exchange
Ion exchangers behave like “fixed charged environments”:
| Type | Charge | Attracts | pH effect |
|---|---|---|---|
| Anion exchanger | + | OH⁻ | pH ↑ |
| Cation exchanger | − | H⁺ | pH ↓ |
👉 Local pH near surface differs by 0.5–1 unit
🧠 Key takeaway:
- Ion exchange is NOT just charge-based
- It also creates a microenvironment with altered pH
🔹 Special Topic 1.3: Classical Amino Acid Analyzer
🧪 Big idea:
Separation is bimodal:
- ✅ Ion exchange (charge)
- ✅ Hydrophobic interactions
🧱 Stationary phase:
- Sulfonated polystyrene (Dowex)
- Contains:
- Charged groups → ion exchange
- Phenyl rings → hydrophobic interactions
📊 How separation works
Step 1: Low pH (~3)
- Amino acids are positively charged
- Bind strongly to cation exchanger
Step 2: Increase pH
- Amino acids lose positive charge → elute
📌 Example:
- Lys & Arg (high pKa) → elute late
- Acidic AAs → elute early
📈 Figure interpretation (Fig. 1.58 & 1.59)
- Peaks correspond to amino acids
- Elution depends on:
- Charge
- Hydrophobicity
- Side chain structure
🔍 Subtle insights:
- Tyr elutes earlier than Phe → OH group reduces hydrophobic interaction
- Branched amino acids (Ile vs Leu) behave differently
- Trp sticks strongly due to hydrophobicity
🧠 Key takeaway:
Separation is a combination of electrostatics + hydrophobicity
🔹 Special Topic 1.4: Size of Random Coils (Denatured Proteins)
🧬 Core concept:
Denatured proteins behave like random coils, not compact spheres
📏 Comparing conformations:
- Fully extended: ~350 Å
- Folded globule: ~29 Å
👉 Huge difference → folding dramatically reduces size
📐 Radius of gyration (Rg)
Defined as:
- Average distance of atoms from center of mass
📌 Important relation:
- (R_G) reflects effective size in solution
🧠 Polymer model:
- Chain = random segments
- End-to-end distance:
- (r_0 = sqrt{n} cdot l)
- Radius of gyration:
- (R_G approx rac{sqrt{n} cdot l}{sqrt{6}})
📊 Figure 1.61 insight:
- Random coil > sphere in size
- (R_G propto sqrt{ ext{molecular weight}})
⚠️ Real proteins are more complex:
Factors affecting size:
- Side chains
- Steric hindrance
- φ/ψ angles
- Gly flexibility
- Peptide bond rigidity
🧠 Key takeaway:
Denatured proteins are:
- Flexible
- Statistical objects
- Not fixed structures
🔹 Special Topic 1.5: Multi-step Protein Purification Strategies
🧪 Example 1: Recombinant phosphatase (E. coli)
Workflow:
- Cell lysis
- Ion exchange (DEAE)
- Hydrophobic interaction (Phenyl)
- Gel filtration
👉 Only 3 steps → pure protein
📊 Figures:
- Chromatograms show peaks = protein fractions
- SDS-PAGE shows purification progress:
- More bands → less pure
- Single band → pure protein
🧪 Example 2: Exotoxin purification (large scale)
Challenges:
- Large volume (180 L!)
- Must be fast and efficient
Steps:
- Anion exchange
- Hydrophobic chromatography
- High-performance ion exchange
- Final polishing
👉 Again: few steps → high purity
🧪 Example 3: C4 protein (from plasma)
🧠 Key difference:
- Natural proteins = low abundance + complex mixture
- Requires MANY steps
🧬 C4 structure:
- α (92 kDa), β (73 kDa), γ (35 kDa)
- Derived from 200 kDa precursor
⚙️ Purification strategy:
- Remove contaminants (barium citrate)
- Ion exchange (Q-Sepharose)
- PEG precipitation
- pH precipitation
- High-resolution ion exchange (MonoQ)
📊 Figures:
- Chromatograms show separation of:
- C4c (inactive)
- C4A
- C4B
- SDS-PAGE confirms purity
📉 Yield:
- ~30% recovery (very good for complex purification)
⚠️ Important insight:
- Plasma purification is much harder than recombinant protein purification
🧠 Final Big Picture
🔑 Core principles across the chapter:
1. Affinity = specificity
- Tags allow targeted purification
2. Ion exchange = charge + environment
- Includes Donnan effects
3. Separation is rarely single-factor
- Often charge + hydrophobicity
4. Protein structure affects behavior
- Folded vs unfolded → huge size differences
5. Real purification = multi-step optimization
- Combine methods:
- Ion exchange
- Hydrophobic interaction
- Size exclusion
🔥 High-yield insights (exam-style)
- Donnan equilibrium → ion imbalance due to impermeable charged species
- Ion exchangers create local pH changes
- Amino acid separation = charge + hydrophobicity
- (R_G) measures effective size of flexible molecules
- Recombinant proteins → few purification steps
- Native proteins → many steps, lower yield