34
Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments Joseph R. Luft, Edward H. Snell, Jennifer R. Wolfley, Meriem I. Said, Ann M. Wojtaszcayk, Raymond M. Nagel, Angela M. Lauricella, Steven A. Potter, Max H. Thayer, Christina K. Veatch, Michael G. Malkowski, and George T. DeTitta The Hauptman Woodward Medical Research Institute

Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

  • Upload
    alima

  • View
    32

  • Download
    0

Embed Size (px)

DESCRIPTION

Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments. Joseph R. Luft, Edward H. Snell, Jennifer R. Wolfley, Meriem I. Said, Ann M. Wojtaszcayk, Raymond M. Nagel, Angela M. Lauricella, Steven A. Potter, Max H. Thayer, Christina K. Veatch, - PowerPoint PPT Presentation

Citation preview

Page 1: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Deconstruction of Drop Volume Ratio/Temperature Optimization

ExperimentsJoseph R. Luft, Edward H. Snell, Jennifer R. Wolfley, Meriem I. Said,

Ann M. Wojtaszcayk, Raymond M. Nagel, Angela M. Lauricella, Steven A. Potter, Max H. Thayer, Christina K. Veatch,

Michael G. Malkowski, and George T. DeTitta

The Hauptman Woodward Medical Research Institute

Page 2: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Where are the losses?Screening• Purified targets crystallized

– 36.6% ( 9234/25263)

Optimization, Production• Diffraction-quality crystals

– 18.9% (4780/25263)

• Diffraction – 15.8% (3998/25263)

• Crystal Structure – 14.5% (3665/25263)

http://targetdb.pdb.org/statistics/TargetStatistics.html(Sept 7th 2007)

100% 14.5%

Page 3: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Screening for crystallization

• Combine protein with cocktails

• Maximize chemical diversity

• Minimize time and protein

J. Struct. Biol. (2003) 142: 170-179.

Chayen, N. E., Shaw Stewart, P. D. & Blow, D. M. (1992). J. Cryst. Growth, 122, 176-180.

Page 4: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Screening cocktails

A total of 1536 solutions• Group I (233)

– 35 salts (3 conc); 8 pH’s

• Group II (737)– 5 PEGs (2 conc); – 36 salts (0.1M); 8 pH’s

• Group III (566)– Hampton Research Screens

Page 5: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Distribution of hits from 167 proteins

# hits from 1536 screen

# pr

otei

n sa

mpl

esOptimization Goal: Leave no hit behind

Page 6: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

High-throughput Optimization• Screening lab output: March 2006-2007

– 2118 proteins x 1536 cocktails– 3.2 million screening experiments

• Keep pace with screening– Proteins often have several crystallization hits– Different cocktails produce different crystals

• Multi-parametric optimization to rapidly and systematically fine-screen conditions in chemical space that directly surrounds the screening hit

Page 7: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

DVR/T OptimizationDrop Volume Ratio / Temperature

Protein Science (2007) 16: 715-722.

Rayment, I, Structure, (2002) 10 (2): 147-151.

Page 8: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

96 proteins at a time 80 fine-screened conditions

x 5 plates

Incubated at:

4,14, 23, 30, 37oC

Page 9: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

VP > VC VC > VP

Representing the data for 1 of 96

Cocktail = 100mM HEPES, pH 7.5, 100 mM Mg2Cl2, 20% (w/v) PEG 8000Protein = 20 mg/mL P6891 in 20mM Tris-HCl, pH 7.6, 0.02% NaAzide

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

4 oC

14 oC

23 oC

30 oC

37 oC

Page 10: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Protein + Cocktail assigns normal or retro-solubility

Cocktail A = 100mM Na Acetate, pH 5.0, 100 mM NH4SCN, 20% (w/v) PEG 4000Cocktail B = 100mM MOPS, pH 7.0, 100mM NH4Br, 80% (v/v) PEG 400

Protein = 20mg/mL P6306 in 10mM Tris, pH 7.4, 100mM NaCl

Page 11: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

What is the success rate?

• 44 proteins that produced hits from HTS• For 13 of the 44 proteins, crystals were

visually improved using DVR/T• Phase information is generated even in

cases where the crystal quality doesn’t improve

• Phase information directs the route for subsequent optimization efforts

Page 12: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Protein = 13.5 mg/mL P6892 in 20mM Tris-HCl, pH 7.6, 300mM NaCl

Cocktail = 100mM MES, pH 6.0, 100 mM Magnesium Acetate, 20% (w/v) PEG 8000

HTS ratio 8, 23 oC DVR/T ratio 8, 4 oC

Ratio constant and temperature changes

Page 13: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Protein = 20 mg/mL P6512 in 10mM Tris-HCl, pH 7.5, 0.02% Na Azide

Cocktail = 100mM HEPES, pH 7.5, 100 mM Rubidium chloride, 40% (w/v) PEG 20,000

HTS ratio 8, 23 oC DVR/T ratio 5, 23 oC

Ratio changes and temperature constant

Page 14: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

HTS ratio 8, 23 oC DVR/T ratio 4, 14 oC

Protein = 13.5 mg/mL P6892 in 20mM Tris-HCl, pH 7.6, 300mM NaCl

Cocktail = 100mM Tris-HCl, pH 8.0, 100 mM Magnesium Nitrate, 40% (w/v) PEG 20000

Ratio changes and temperature changes

Page 15: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Protein = 20.3 mg/mL P6891 in 20mM Tris-HCl, pH 7.6, 100mM NaCl

Cocktail = 100mM HEPES, pH 7.5, 100 mM Magnesium chloride, 20% (w/v) PEG 8000

HTS ratio 8, 23 oC DVR/T ratio 3, 14 oC

Ratio changes and temperature changes

Page 16: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

How does DVR/T relate to a phase diagram?

Page 17: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Phase data relevant to crystallization80 experiments centered on the screening hit

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

4 oC

14 oC

23 oC

30 oC

37 oC

Cocktail = 100mM CAPS, pH 10.0, 100 mM Ammonium phosphate (dibasic), 20% (w/v) PEG 20000

Protein = 20mg/mL P6512 in 10mM Tris-HCl, pH 7.5, 0.02% Na Azide

= screening hit

Page 18: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Undersaturated or Metastable

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

4 oC

14 oC

23 oC

30 oC

37 oC

Cocktail = 100mM CAPS, pH 10.0, 100 mM Ammonium phosphate (dibasic), 20% (w/v) PEG 20000

Protein = 20mg/mL P6512 in 10mM Tris-HCl, pH 7.5, 0.02% Na Azide

Page 19: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Labile Zone

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

4 oC

14 oC

23 oC

30 oC

37 oC

Cocktail = 100mM CAPS, pH 10.0, 100 mM Ammonium phosphate (dibasic), 20% (w/v) PEG 20000

Protein = 20mg/mL P6512 in 10mM Tris-HCl, pH 7.5, 0.02% Na Azide

Page 20: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Precipitation Zone

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

4 oC

14 oC

23 oC

30 oC

37 oC

Cocktail = 100mM CAPS, pH 10.0, 100 mM Ammonium phosphate (dibasic), 20% (w/v) PEG 20000

Protein = 20mg/mL P6512 in 10mM Tris-HCl, pH 7.5, 0.02% Na Azide

Page 21: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Empirical solubility data for seedingstreak seed from ratio 7 to ratio 4

time = 0 time = 17 hrs

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Protein = 10.2 mg/mL P6893 in 20mM Tris-HCl, pH 7.6

Cocktail = 100mM MOPS, pH 7.0, 100 mM Lithium sulfate, 40% (w/v) PEG 4000

Page 22: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

What are the DVR/T variables?

• Any soluteprotein = solutecocktail = variable

– [ Protein ]– [ Precipitating agent ]– [ Buffers ]– [ Chemical additives ]

A series of experiments with:

1) Temperatureconstant Chemistryvariable

2) Temperaturevariable Chemistryconstant

•Temperature•pH

Page 23: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Solutes’ concentrations (starting)

[P]init

10.0 mg/mL

[C]init 1.00 M

Page 24: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Dehydration of the experiment drops

• Batch, but dehydration still occurs

• Rate is temperature-dependent

• Solutes’ concentrations steadily increase

time

[sol

utes

]

time

Page 25: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Day 1

Cocktail = 100mM Tris, pH 8.0, 100 mM Na2S2O3, 20% (w/v) PEG 4000

Protein = 60mg/mL P6513 in 10mM Tris-HCl, pH 7.5, 0.02% NaAzide

4 oC

14 oC

23 oC

30 oC

37 oC

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Page 26: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Day 7

Cocktail = 100mM Tris, pH 8.0, 100 mM Na2S2O3, 20% (w/v) PEG 4000

Protein = 60mg/mL P6513 in 10mM Tris-HCl, pH 7.5, 0.02% NaAzide

4 oC

14 oC

23 oC

30 oC

37 oC

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Page 27: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Day 14

Cocktail = 100mM Tris, pH 8.0, 100 mM Na2S2O3, 20% (w/v) PEG 4000

Protein = 60mg/mL P6513 in 10mM Tris-HCl, pH 7.5, 0.02% NaAzide

4 oC

14 oC

23 oC

30 oC

37 oC

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Page 28: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Day 21

Cocktail = 100mM Tris, pH 8.0, 100 mM Na2S2O3, 20% (w/v) PEG 4000

Protein = 60mg/mL P6513 in 10mM Tris-HCl, pH 7.5, 0.02% NaAzide

4 oC

14 oC

23 oC

30 oC

37 oC

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Page 29: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Day 28

Cocktail = 100mM Tris, pH 8.0, 100 mM Na2S2O3, 20% (w/v) PEG 4000

Protein = 60mg/mL P6513 in 10mM Tris-HCl, pH 7.5, 0.02% NaAzide

4 oC

14 oC

23 oC

30 oC

37 oC

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Page 30: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Day 60

Cocktail = 100mM Tris, pH 8.0, 100 mM Na2S2O3, 20% (w/v) PEG 4000

Protein = 60mg/mL P6513 in 10mM Tris-HCl, pH 7.5, 0.02% NaAzide

4 oC

14 oC

23 oC

30 oC

37 oC

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Page 31: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

DVR/T inherently fine-screens pH(effect of buffer concentration and temperature)

4 oC

37 oC

VP > VC VC > VP

Page 32: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Small differences in cocktail pHBig differences in outcomes

Cocktails: 100mM NH4H2PO4, 100mM CAPS, pH= _____, 20%(v/v) PEG 20k Protein: 20mg/ml P6512, 10mM Tris, pH 7.5, 0.02% Sodium Azide

pH 9.80 10.00 10.25 10.50

9.8010.0010.2510.50

pH 23oC

Page 33: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Conclusions

• Use same crystallization method / solutions for both screening and optimization

• Simple/rapid set up • Optimization is centered on screening hit

– Screening hit expanded to 80 conditions without additional formulation

• Variables may be difficult to quantify, but can be precisely, volumetrically reproduced

• Guide for second-tier optimization

Page 34: Deconstruction of Drop Volume Ratio/Temperature Optimization Experiments

Acknowledgements

• Work supported in part by: NIH GM074899, John R. Oishei Foundation, Margaret L. Wendt Foundation, and the James H. Cummings Foundation.

• Special thanks to the following people for their enthusiastic and valuable collaborations:

– Bob Cudney (Hampton Research)

– Rachel Cochran (Matrix Technologies)

– Brian Wright (Brook-Anco)

– Ulrike Honisch, Guenther Knebel, and Bob Brino (Greiner-BioOne)