The second stage of the crystallization
process, optimization, refines the chemical and physical parameters
identified during screening to produce crystals of sufficient quality
for X-ray diffraction analysis. Optimization builds directly upon
the success of the screening
experiments. The first tier optimization
method takes the initial crystallization condition and varies the concentration
of the macromolecule, precipitant, and the growth temperature in a systematic
manner by changing both the drop volume ratio of protein to cocktail
and the temperature of incubation (DVR/T). The DVR/T method is
proven for soluble proteins and ideally suited to manipulate the phase
behavior of a protein:detergent complex used in membrane protein crystallization.
The DVR/T method maximizes efficiency by eliminating
reformulation of the cocktail solutions for optimization. In addition, by incorporating
the same crystallization protocol for both screening and optimization
trials the process eliminates complications that arise when converting
crystallization conditions from one method to another. The sample
requirements for this technique are minimal; 25 mL of protein solution
are required to set up 64 experiments. These experiments sample
a full matrix of 16 different drop chemistries at 4 unique temperatures.
Optimization and screening protocols use exactly
the same microbatch-under-oil crystallization method (identical mineral
oil, 1536 well plates, protein solutions and cocktail solutions). Experiments are prepared using
a liquid-handling system equipped with a 96 channel syringe head. A
96-well source plate is loaded with 25 mL aliquots of as many as
96 different proteins; a second plate is prepared with aliquots of crystallization
cocktails arrayed to match the proteins. The 96 cocktail solutions
are simultaneously aspirated from the source plate and dispensed into
4 replicate oil-filled 1536 well experiment plates. Each cocktail is
delivered to the experiment plate16 times at volumes ranging from 0.15
to 0.60 mL. The protein solutions are delivered in a similar
manner into the experiment plates containing the cocktails as shown in
Figure 1. These deliveries are completed in less than one hour. The
four plates are separately incubated at temperatures of 4, 14, 23, and
37oC. These experiments are imaged weekly using the same plate
imaging system that monitors the screening experiments.
Even in cases where DVR/T fails to identify
chemical and environmental conditions that produce crystals suitable
for X-ray diffraction, the method provides valuable solubility information
that can be employed in second tier optimization protocols. The DVR/T method landscapes
the protein’s solubility as a function of the cocktail concentration,
temperature and pH (Figure 1). This multi-parametric sampling of
solubility can be used to identify regions of supersaturation near the
ideal (metastable) zone for seeding. Seed crystals or microcrystalline
precipitate can be recovered from supersaturated drops and used
for microseeding or macroseeding. Undersaturated zones (clear drops)
that are nearly supersaturated, based on the phase information provided
by the DVR/T experiment, can be selected for seeding.
Temperature is a variable that is generally applicable to control the
solubility of proteins. Temperature can be used as a means
to control the level of supersaturation in a crystallization experiment
and to produce diffraction-quality crystals. DVR/T presents the
sample’s solubility in such a way that it clearly identifies the
range of temperatures to exploit for crystallization. Data from
DVR/T experiments highlight chemically identical experiments that appear
clear, or show signs of phase separation by adjusting the temperature. This
information is clearly displayed in the outcomes of the DVR/T experiments
(Figure 2). We will use these data to design second tier optimization
experiments. Slowly adjusting the temperature of the experiment
provides kinetic control of the approach to supersaturation. The
kinetic approach to supersaturation can be a critical variable to control
during crystallization experiments.
Reference Luft, J.R., Wolfley, J.R., Said, M.I., Nagel, R.M., Lauricella, A.M.,
Smith, J.L., Thayer, M.H., Veatch, C.K., Snell, E.H., Malkowski, M.G.,
DeTitta, G.T. (2007). Efficient Optimization of Crystallization Conditions
by Manipulation of Drop Volume Ratio and Temperature. Protein Science 16,
1-8. [PubMed] |