Literature DB >> 22477774

The MORPHEUS protein crystallization screen.

Fabrice Gorrec1.   

Abstract

A 96-condition initial screen for protein crystallization, called MORPHEUS, has been developed at the MRC Laboratory of Molecular Biology, Cambridge, England (MRC-LMB). The concept integrates several innovative approaches, such as chemically compatible mixes of potential ligands, new buffer systems and precipitant mixes that also act as cryoprotectants. Instead of gathering a set of crystallization conditions that have already been successful, a selection of molecules frequently observed in the Protein Data Bank (PDB) to co-crystallize with proteins has been made. These have been put together in mixes of similar chemical behaviour and structure, and combined with buffers and precipitant mixes that were also derived from PDB searches, to build the screen de novo. Observations made at the MRC-LMB and many practical aspects were also taken into account when formulating the screen. The resulting screen is easy to use, comprehensive yet small, and has already yielded a list of crystallization hits using both known and novel samples. As an indicator of success, the screen has now become one of the standard screens used routinely at the MRC-LMB when searching initial crystallization conditions for biological macromolecules.

Entities:  

Year:  2009        PMID: 22477774      PMCID: PMC3246824          DOI: 10.1107/S0021889809042022

Source DB:  PubMed          Journal:  J Appl Crystallogr        ISSN: 0021-8898            Impact factor:   3.304


Introduction

Structure determination of biological macromolecules has been tremendously successful over recent years. The Protein Data Bank (PDB, http://www.pdb.org; Berman et al., 2000 ▶) now holds nearly 60 000 coordinate sets. Approximately 80% of those have been determined by X-ray crystallography, and the method, since its first application to biological macromolecules more than 50 years ago (Kendrew et al., 1958 ▶; Perutz et al., 1960 ▶), has continued to improve. Recently, the atomic structure of the complete 70S ribosome was determined using X-ray crystallography (Selmer et al., 2006 ▶). Given the obvious successes, one might be forgiven for assuming that the basis of the method, the crystallization of a protein, DNA or RNA and their complexes, must be an easy process. In fact, crystallization is now rate limiting and a typical project trying to elucidate the structure of a biological macromolecule of interest will spend most time trying to obtain a sample of biological interest that can be crystallized (Chayen & Saridakis, 2008 ▶). The underlying problem is that at the time of the crystallization experiment the structure of the molecule is not known and hence a rational approach cannot be taken. To circumvent this problem, crystallization screens are utilized which try to sample the vast number of possible variables in a manageable and efficient way, either systematically or randomly (McPherson, 2004 ▶). Development of an effective search strategy depends on determining how parameter variations influence crystal formation and crystal quality (Kingston et al., 1994 ▶). The protein itself can be considered as the main variable (Dale et al., 2003 ▶). However, the correct composition of the initial crystallization screen is necessary, although by no means sufficient, for success. Nowadays, vapour diffusion with 50–200 nl drops is the most widespread crystallization technique and many different commercial screening kits are available to initiate experiments (Berry et al., 2006 ▶). Many screens are systematic variations of the concentrations or chemical nature of the components and others employ so-called sparse-matrix approaches that are essentially collections of conditions (mixes of reagents used for protein crystallization) that have been found to work previously with other samples (Jancarik & Kim, 1991 ▶). The increasing number of structures deposited in the PDB has motivated some statistical analyses of the crystallization conditions employed (Hennessy et al., 2000 ▶; Kantardjieff & Rupp, 2004 ▶), together with attempts to rationalize protein crystallization screens (Zhu et al., 2006 ▶; Newstead et al., 2008 ▶). Rationalization has led to screens with a minimal number of conditions in sparse matrices and footprint screens (Brzozowski & Walton, 2001 ▶; Radaev & Sun, 2002 ▶; Tran et al., 2004 ▶; Newman et al., 2005 ▶). This is logical if overall efficiency is the main goal, such as in structural genomics. At the MRC Laboratory of Molecular Biology (Cambridge, England), protein samples, DNA–protein complexes and RNA-containing complexes are regularly screened using standard procedures with more than 40 commercial initial screen kits (Stock et al., 2005 ▶) and over 1500 conditions, assembled into pre-filled MRC 96-well crystallization plates. This large number is still not large enough because many samples fail to crystallize or give only a very few hits. Amongst others, this could be due to two main reasons. Firstly, the vast number of possible conditions is under-sampled (which is surely true). Secondly, crystallization can be critically dependent on the component(s) in the screen (St John et al., 2008 ▶) that make proteins behave differently (more stable or rigid, for example). The latter reason is the rationale behind classical additive screening (Cudney et al., 1994 ▶) and a recent development called Silverbullets (McPherson & Cudney, 2006 ▶). Both assumptions were a driving force behind my attempts to formulate the new screen MORPHEUS that could enhance the chances of crystallization. The most important feature of MORPHEUS is the inclusion of mixes containing potential ligands and additives that can promote crystallization through specific interactions. This strategy includes the risk that one component of a mix might have a deleterious effect on crystal growth (or complex association) and thereby mask the positive contribution of another (Larson et al., 2007 ▶). By selecting components that have been seen to be ordered in crystal structures in the PDB, the chances of incorporating molecules playing a positive role should increase. An extensive search of the PDB was performed and small molecules and ions that bind to biological macromolecules were selected. The molecules are stable, commercially available, have a molecular weight below 250 Da and are easy to handle. Components found abundantly in the PDB are potentially good crystallization agents for two reasons. Firstly, they can be stabilizers. For example, some sugars are well known for their thermodynamic stabilization of macromolecules (Arakawa & Timasheff, 1982 ▶). Stabilization can also mean ‘rigidifying’ the protein or the crystal lattice and thus improving diffraction quality. Secondly, ligands can create crystallization variants by changing possible interactions on the molecular surface, hence increasing the chances of obtaining different crystals. From this perspective, small counter-anions like nitrate, phosphate and sulfate, with a multitude of possible binding modes via different spatial arrangements of O atoms, are ideal components. For the same reason, small organic salts with carboxylic acid groups can facilitate crystal growth (McPherson, 2001 ▶). Additional agents found frequently in the PDB include halides that promote different crystal forms (Lim et al., 1998 ▶) and can help with crystallographic phase determination (Dauter et al., 2000 ▶). It has been shown that polyethylene glycols (PEGs) tend to form linear binding patterns in clefts on protein surfaces (Hasek, 2006 ▶). Therefore, a selection of six PEGs completes the formulation of MORPHEUS. MORPHEUS provides 96 original conditions made from innovative mixes of potential ligands that have been found with high frequency in the PDB. Will MORPHEUS, like the Greek god of dreams, take different forms, especially those in the shape of crystals? Here, ideas about the formulations and the results from crystallization experiments using test proteins and novel samples are described, proving the high usability and efficiency of MORPHEUS.

Materials and methods

The complete formulation of MORPHEUS is shown in Table 1 ▶. Fig. 1 ▶ is a schematic representation of the screen layout.
Table 1

Formulation of MORPHEUS

PEG MME is polyethylene glycol monomethyl ether. MPD is (RS)-2-methyl-2,4-pentanediol. NPS is a mix containing sodium nitrate, disodium hydrogen phosphate and ammonium sulfate.

WellMix of precipitantsMix of additivesBuffer system
A110% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each divalent cation0.1M MES/imidazole pH6.5
A210% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each divalent cation0.1M MES/imidazole pH6.5
A310% w/v PEG 4000, 20% v/v glycerol0.03M of each divalent cation0.1M MES/imidazole pH6.5
A412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each divalent cation0.1M MES/imidazole pH6.5
A510% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each divalent cation0.1M MOPS/HEPES-Na pH7.5
A610% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each divalent cation0.1M MOPS/HEPES-Na pH7.5
A710% w/v PEG 4000, 20% v/v glycerol0.03M of each divalent cation0.1M MOPS/HEPES-Na pH7.5
A812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each divalent cation0.1M MOPS/HEPES-Na pH7.5
A910% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each divalent cation0.1M bicine/Trizma base pH8.5
A1010% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each divalent cation0.1M bicine/Trizma base pH8.5
A1110% w/v PEG 4000, 20% v/v glycerol0.03M of each divalent cation0.1M bicine/Trizma base pH8.5
A1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each divalent cation0.1M bicine/Trizma base pH8.5
B110% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each halide0.1M MES/imidazole pH6.5
B210% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each halide0.1M MES/imidazole pH6.5
B310% w/v PEG 4000, 20% v/v glycerol0.03M of each halide0.1M MES/imidazole pH6.5
B412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each halide0.1M MES/imidazole pH6.5
B510% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each halide0.1M MOPS/HEPES-Na pH7.5
B610% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each halide0.1M MOPS/HEPES-Na pH7.5
B710% w/v PEG 4000, 20% v/v glycerol0.03M of each halide0.1M MOPS/HEPES-Na pH7.5
B812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each halide0.1M MOPS/HEPES-Na pH7.5
B910% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each halide0.1M bicine/Trizma base pH8.5
B1010% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each halide0.1M bicine/Trizma base pH8.5
B1110% w/v PEG 4000, 20% v/v glycerol0.03M of each halide0.1M bicine/Trizma base pH8.5
B1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each halide0.1M bicine/Trizma base pH8.5
C110% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each NPS0.1M MES/imidazole pH6.5
C210% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each NPS0.1M MES/imidazole pH6.5
C310% w/v PEG 4000, 20% v/v glycerol0.03M of each NPS0.1M MES/imidazole pH6.5
C412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each NPS0.1M MES/imidazole pH6.5
C510% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each NPS0.1M MOPS/HEPES-Na pH7.5
C610% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each NPS0.1M MOPS/HEPES-Na pH7.5
C710% w/v PEG 4000, 20% v/v glycerol0.03M of each NPS0.1M MOPS/HEPES-Na pH7.5
C812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each NPS0.1M MOPS/HEPES-Na pH7.5
C910% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each NPS0.1M bicine/Trizma base pH8.5
C1010% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each NPS0.1M bicine/Trizma base pH8.5
C1110% w/v PEG 4000, 20% v/v glycerol0.03M of each NPS0.1M bicine/Trizma base pH8.5
C1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each NPS0.1M bicine/Trizma base pH8.5
D110% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each alcohol0.1M MES/imidazole pH6.5
D210% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each alcohol0.1M MES/imidazole pH6.5
D310% w/v PEG 4000, 20% v/v glycerol0.02M of each alcohol0.1M MES/imidazole pH6.5
D412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each alcohol0.1M MES/imidazole pH6.5
D510% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each alcohol0.1M MOPS/HEPES-Na pH7.5
D610% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each alcohol0.1M MOPS/HEPES-Na pH7.5
D710% w/v PEG 4000, 20% v/v glycerol0.02M of each alcohol0.1M MOPS/HEPES-Na pH7.5
D812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each alcohol0.1M MOPS/HEPES-Na pH7.5
D910% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each alcohol0.1M bicine/Trizma base pH8.5
D1010% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each alcohol0.1M bicine/Trizma base pH8.5
D1110% w/v PEG 4000, 20% v/v glycerol0.02M of each alcohol0.1M bicine/Trizma base pH8.5
D1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each alcohol0.1M bicine/Trizma base pH8.5
E110% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each ethylene glycol0.1M MES/imidazole pH6.5
E210% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each ethylene glycol0.1M MES/imidazole pH6.5
E310% w/v PEG 4000, 20% v/v glycerol0.03M of each ethylene glycol0.1M MES/imidazole pH6.5
E412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each ethylene glycol0.1M MES/imidazole pH6.5
E510% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each ethylene glycol0.1M MOPS/HEPES-Na pH7.5
E610% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each ethylene glycol0.1M MOPS/HEPES-Na pH7.5
E710% w/v PEG 4000, 20% v/v glycerol0.03M of each ethylene glycol0.1M MOPS/HEPES-Na pH7.5
E812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each ethylene glycol0.1M MOPS/HEPES-Na pH7.5
E910% w/v PEG 20000, 20% v/v PEG MME 5500.03M of each ethylene glycol0.1M bicine/Trizma base pH8.5
E1010% w/v PEG 8000, 20% v/v ethylene glycol0.03M of each ethylene glycol0.1M bicine/Trizma base pH8.5
E1110% w/v PEG 4000, 20% v/v glycerol0.03M of each ethylene glycol0.1M bicine/Trizma base pH8.5
E1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.03M of each ethylene glycol0.1M bicine/Trizma base pH8.5
F110% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each monosaccharide0.1M MES/imidazole pH6.5
F210% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each monosaccharide0.1M MES/imidazole pH6.5
F310% w/v PEG 4000, 20% v/v glycerol0.02M of each monosaccharide0.1M MES/imidazole pH6.5
F412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each monosaccharide0.1M MES/imidazole pH6.5
F510% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each monosaccharide0.1M MOPS/HEPES-Na pH7.5
F610% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each monosaccharide0.1M MOPS/HEPES-Na pH7.5
F710% w/v PEG 4000, 20% v/v glycerol0.02M of each monosaccharide0.1M MOPS/HEPES-Na pH7.5
F812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each monosaccharide0.1M MOPS/HEPES-Na pH7.5
F910% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each monosaccharide0.1M bicine/Trizma base pH8.5
F1010% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each monosaccharide0.1M bicine/Trizma base pH8.5
F1110% w/v PEG 4000, 20% v/v glycerol0.02M of each monosaccharide0.1M bicine/Trizma base pH8.5
F1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each monosaccharide0.1M bicine/Trizma base pH8.5
G110% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each carboxylic acid0.1M MES/imidazole pH6.5
G210% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each carboxylic acid0.1M MES/imidazole pH6.5
G310% w/v PEG 4000, 20% v/v glycerol0.02M of each carboxylic acid0.1M MES/imidazole pH6.5
G412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each carboxylic acid0.1M MES/imidazole pH6.5
G510% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each carboxylic acid0.1M MOPS/HEPES-Na pH7.5
G610% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each carboxylic acid0.1M MOPS/HEPES-Na pH7.5
G710% w/v PEG 4000, 20% v/v glycerol0.02M of each carboxylic acid0.1M MOPS/HEPES-Na pH7.5
G812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each carboxylic acid0.1M MOPS/HEPES-Na pH7.5
G910% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each carboxylic acid0.1M bicine/Trizma base pH8.5
G1010% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each carboxylic acid0.1M bicine/Trizma base pH8.5
G1110% w/v PEG 4000, 20% v/v glycerol0.02M of each carboxylic acid0.1M bicine/Trizma base pH8.5
G1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each carboxylic acid0.1M bicine/Trizma base pH8.5
H110% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each amino acid0.1M MES/imidazole pH6.5
H210% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each amino acid0.1M MES/imidazole pH6.5
H310% w/v PEG 4000, 20% v/v glycerol0.02M of each amino acid0.1M MES/imidazole pH6.5
H412.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each amino acid0.1M MES/imidazole pH6.5
H510% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each amino acid0.1M MOPS/HEPES-Na pH7.5
H610% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each amino acid0.1M MOPS/HEPES-Na pH7.5
H710% w/v PEG 4000, 20% v/v glycerol0.02M of each amino acid0.1M MOPS/HEPES-Na pH7.5
H812.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each amino acid0.1M MOPS/HEPES-Na pH7.5
H910% w/v PEG 20000, 20% v/v PEG MME 5500.02M of each amino acid0.1M bicine/Trizma base pH8.5
H1010% w/v PEG 8000, 20% v/v ethylene glycol0.02M of each amino acid0.1M bicine/Trizma base pH8.5
H1110% w/v PEG 4000, 20% v/v glycerol0.02M of each amino acid0.1M bicine/Trizma base pH8.5
H1212.5% w/v PEG 1000, 12.5% w/v PEG 3350, 12.5% v/v MPD0.02M of each amino acid0.1M bicine/Trizma base pH8.5
Figure 1

MORPHEUS schematic screen layout.

Selection of PDB-derived ligands

The set of 47 PDB-derived ligands is listed in Table 2 ▶. Initially, structures with ligand(s) were tabulated (July, 2008). Data were then filtered with a molecular weight cut-off of 250 Da. The resulting list was filtered again to keep only ligands seen with at least five unrelated protein structures.
Table 2

The 47 PDB-derived ligands selected to formulate MORPHEUS

MPD is (RS)-2-methyl-2,4-pentanediol.

LigandResidue IDNo. of structures
(RS)-Tartaric acidTAR, TLA113
1,2-(RS)-PropanediolPGR, PGO41
1,3-PropanediolPDO7
1,4-ButanediolBU111
1,6-HexanediolHEZ19
1-Butanol1BO7
2-PropanolIPA, IOH174
Acetate anionACT, ACY, ACE1890
Ammonium cationNH4, NH3, NH2582
BicineBCN11
Bromide anionBR120
Calcium cationCA3959
Chloride anionCL2842
Citrate anionFLC, CIT384
D-GalactoseGLA, GAL86
D-GlucoseGLC, BGC206
Diethylene glycolPEG209
DL-AlanineALA, DAL35
DL-LysineLYS, DLY36
DL-SerineSER, DSN38
D-MannoseMAN, BMA178
D-XyloseXYP, XYL33
Ethylene glycolEDO1081
Fluoride anionF16
Formic acidFMT267
GlycerolGOL2884
GlycineGLY50
HEPESEPE201
ImidazoleIMD154
Iodide anionIOD178
L-FucoseFUC, FUL62
L-Glutamic acidGLU28
Magnesium cationMG3991
MESMES315
MOPSMPO21
MPDMRD, MPD504
N-Acetyl-D-glucosamineNAG1150
Nitrate anionNO3156
Oxamic acidOXM17
Pentaethylene glycol1PE91
Phosphate anionPO4, PI, 2HP1687
Potassium cationK720
Sodium cationNA1926
Sulfate anionSO45793
Tetraethylene glycolPG4194
Triethylene glycolPGE107
TrisTRS334
   
Total No. of entries 32908
Not included in MORPHEUS because of chemical incompatibility are all phenols, heavy atoms and detergents. Many divalent cations and some carboxylic acids were discarded in later tests because of problems with stability and false positives. Also, there is a limit to the number of ligands (i.e. additives) that can be integrated into 96 conditions. Concentrations must be high because low affinities should be considered (Sauter et al., 1999 ▶).

Additive mixes

Thirty-eight of the selected PDB-derived ligands have been grouped into families depending on their chemical nature to form eight additive mixes. For example, one of the additive mixes is composed of n-ethylene glycols (n = 2–5). By grouping the additives based on chemical nature, the possibility of cross-reaction is avoided and stock solutions are stable. When additives were salts with an acid or base form, the salts were selected so that the final pH of the mix was as neutral as possible. A compound-to-protein ratio of 10:1 is commonly adopted for co-crystallization with small molecule ligands (Danley, 2006 ▶) and hence the final concentration of each additive in MORPHEUS is 0.02 M minimum, representing ten times the concentration of a 10 kDa protein at 20 mg ml−1. The recipes for preparing the eight MORPHEUS additive mixes can be found in Table 3 ▶.
Table 3

Recipes for preparing the eight MORPHEUS additive mixes

StockComposition
Divalent cations0.3M magnesium chloride, 0.3M calcium chloride
Halides0.3M sodium fluoride, 0.3M sodium bromide, 0.3M sodium iodide
NPS0.3M sodium nitrate, 0.3M disodium hydrogen phosphate, 0.3M ammonium sulfate
Alcohols0.2M 1,6-hexanediol, 0.2M 1-butanol, 0.2M (RS)-1,2-propanediol, 0.2M 2-propanol, 0.2M 1,4-butanediol, 0.2M 1,3-propanediol
Ethylene glycols0.3M diethyleneglycol, 0.3M triethyleneglycol, 0.3M tetraethyleneglycol, 0.3M pentaethyleneglycol
Monosaccharides0.2 M D-glucose, 0.2M D-mannose, 0.2M D-galactose, 0.2M L-fucose, 0.2M D-xylose, 0.2M N-acetyl-D-glucosamine
Carboxylic acids0.2 M sodium formate, 0.2M ammonium acetate, 0.2M trisodium citrate, 0.2M sodium potassium L-tartrate, 0.2M sodium oxamate
Amino acids0.2 M sodium L-glutamate, 0.2M DL-alanine, 0.2M glycine, 0.2M DL-lysine HCl, 0.2M DL-serine

Precipitant mixes

Precipitants can be mixed to have a synergistic effect (Majeed et al., 2003 ▶) and/or to provide cryoprotection (Mitchell & Garman, 1994 ▶; McFerrin & Snell, 2002 ▶). To take advantage of these findings, four precipitant mixes were integrated in the formulation of MORPHEUS. Three of the mixes have been observed to be more successful in the crystallization of MRC-LMB samples than expected from their under-sampling in our initial screens, as described previously. A fourth mix was designed from scratch with components not found in the other three mixes. Principally, the precipitant mixes have been chosen so that the final conditions produce vitrified ice when frozen. It should be noted, however, that the optimal concentration of cryoprotectant is sample dependent and may need optimization later (Chinte et al., 2005 ▶). Recipes for preparing the four MORPHEUS stock solutions with precipitants can be found in Table 4 ▶. The table includes the frequency of similar mixes in our MRC-LMB standard initial screens.
Table 4

Recipes for preparing the four MORPHEUS precipitant mixes

CompositionFrequencyReference
20% w/v PEG 20000, 40% v/v PEG MME 55035Cordell et al. (2003); Leonard et al. (2004); Selmer et al. (2006)
20% w/v PEG 8000, 40% v/v ethylene glycol3Teo et al. (2006)
20% w/v PEG 4000, 40% v/v glycerol12Low Lwe (2006)
25% w/v PEG 3350, 25% w/v PEG 1000, 25% v/v MPD0Not published

Buffer systems

Six of the selected PDB-derived ligands described before have been used to build three buffer systems within a physiological pH range, namely 6.5, 7.5 and 8.5. The common advantage of buffer systems is that no titration with concentrated acid or base is required (Newman, 2004 ▶). Each MORPHEUS buffer system includes an acid and base pair of buffers with similar pK values. This way, the systems combine the characteristics of two different Good buffers for biological research (Good et al., 1966 ▶). Recipes for preparing 50 ml of the three MORPHEUS buffer systems can be found in Table 5 ▶. Non-titrated stock solutions of the individual buffers (at a concentration of 1 M) were mixed at different ratios for optimization purposes. The chemicals used for making the buffer systems were MES [2-(N-morpholino)ethanesulfonic acid; Sigma, M8250, pH 2.7], imidazole (1,3-diazacyclopenta-2,4-diene; BDH, 286874D, pH 9.9), MOPS [3-(N-morpholino)propanesulfonic acid; BDH, 4438321, pH 2.9], HEPES-Na [sodium 4-(2-hydroxy­ethyl)piperazine-1-ethanesulfonate; Melford, B2001, pH 10.4], bicine [N,N-bis(2-hydroxyethyl)glycine; Fluka, 14871, pH 4.9] and Trizma base [proprietary Tris, 2-amino-2-(hydroxy­methyl)-1,3-propanediol; Sigma, T1503, pH 10.6]. The pH was measured at 294 K with an InLab 490 solid-state probe (Mettler–Toledo) to avoid inaccuracies with Tris-containing buffers.

Stability tests

The stability of the conditions during their development was assessed by checking the turbidity and pH after one week at 293 K, one week at 277 K and another week at 293 K.

Proteins

For details of the proteins used, please refer to Table 6 ▶.
Table 6

Details and results of the crystallization trials for 16 samples using MORPHEUS

TEN 200 is a buffer containing 20mM Tris, 1mM ethylenediaminetetraacetic acid (EDTA), 1mM sodium azide and 200mM sodium chloride. In the Source column, LMB refers to the MRC Laboratory of Molecular Biology, Cambridge, England, Hutchison to the Hutchison/MRC Research Centre, Cambridge, England, and CPE to the Centre for Protein Engineering, Cambridge, England.

SymbolProteinConcentration (mgml1)Molecular weight (kDa)SourcePreparation/referenceHits (well numbers)Photo (Fig. 2)
TriUB-DTriubiquitin complex7.029.6LMB, Yogesh KulathuManuscript submittedF01, F04, H01, H04 a, b
PI3K-IPi3-kinase 110delta with inhibitors4.5107.0LMB, Alex BerndtManuscript submittedC03, C04 c
Scc3Cohesin subunit10.047.0LMB, Jan LweTo be publishedH07 d
PBDPlk1 polo-box domain8.727.2Hutchison, Ana J. NarvaezGarcia-Alvarez et al. (2007)B05, D05, D09, E05, F05, F09 e
PBD-PPlk1 polo-box domain with compound8.727.2Hutchison, Ana J. NarvaezTo be publishedD04 f
DivIVATropomyosin19.212.7LMB, Marian OlivaManuscript in preparationD07, F07 g
D1-D2Sm protein complex16.226.9LMB, Chris OubridgeKambach et al. (1999)G01 h
ParRChromosome partitioning16.014.6LMB, Jeanne SaljeMller-Jensen et al. (2007)G10, G11 i
CRYP53 domain6.527.0CPE, Joel Kaar Nicolas BasseJoerger et al. (2006)D09, E09, G01, G05, G08, G09, G12, H09 j
BARBAR domain6.029.0LMB, Helen KentPeter et al. (2004)A02, C04, C08, C12, G04, G08, G12 k
PAK4GFtsK gamma domain11.07.8LMB, Jan LweSivanathan et al. (2006)A01, A05 l
ScVps25ESCRT II subunit10.823.6LMB, Olga PerisicWernimont Weissenhorn (2004)A03, A06, B10, C05, C09, E03, E06, E07, E10, F03, F06, F07, F10 m, n
RanRan GTPase10.024.5LMB, Danguole CizieneStewart et al. (1998)G04 o
CNVAConcanavalin A7.026.5Sigma, L7647Dissolved in TEN 200 pH 8.5D02, D06, E02, E06, E10, H02, H06 p
THMThaumatin30.022.0Sigma, T7638Dissolved in deionized waterG01, G05, G09 q
LYSLysozyme10.014.4Sigma, L6876Dissolved in deionized waterA05, A08, B06, B07, C05, C06, C08, D05, E05, G05, G07, H05 r

Crystallization trials

MRC crystallization plates (Swissci) containing MORPHEUS (85 µl in the main wells) were prepared on a Mosquito (TTP labtech) or ScreenMaker (Innovadyne) nanolitre liquid handler. Our standard setup for initial screens is to mix equal-volume aliquots of the protein and condition at 297 K, with a 200 nl final volume of drops, and to store the plates at 292 K. Final assessments were made after one week by manual inspection using a high-powered Leica MX-12 stereomicroscope. A drop was considered a crystallization hit when it contained protein crystals larger than 20 µm, so that they could be mounted in a cryoloop for X-ray diffraction.

Optimization of conditions

Finally, all three components, the ligand mixes, the precipitant mixes and the buffers, are combined using a fixed ratio,This simple recipe facilitates easy follow-up optimization experiments. As an initial approach, one can simply change the above ratios of the stock solutions. The composition of the buffer systems may be altered during optimization experiments to change the pH. Obviously, all of these optimization experiments are very amenable to automation (Hennessy et al., 2009 ▶).

Results and discussion

Both well known test proteins and novel samples were tried with MORPHEUS. Table 6 ▶ shows all the details and results of the crystallization trials performed for 16 samples. Fig. 2 ▶ shows the different crystal morphologies observed. All the crystals shown represent initial hits, except for Scc3 (domain of sister chromatid cohesion protein 3) and PI3K-I (pi3-kinase p110 in complex with isoform-specific inhibitors) which involved optimization.
Figure 2

Light micrographs showing 18 crystals obtained with MORPHEUS (letters refer to Table 6 ▶, last column). Magnifications differ and crystal sizes vary between 20 and 600 µm.

Importantly, three samples have crystallized exclusively in MORPHEUS and produced no hits from any other screen tried (over 1500 conditions): Scc3, PI3K-I and TriUb-D (triubiquitin in complex with a ubiquitin-binding domain). The possible specificity of ligand mixes can be spotted easily because of the systematic screen layout: when there are several hits in the same row of MORPHEUS, it means there is specificity to ligands used in the conditions of that row (see samples PI3K-I, ParR, PAK4G and THM). In the same way, specificity to precipitant(s) and pH can easily be noticed (see Fig. 1 ▶). For example, most of the hits with the test sample BAR were in conditions that integrate the mix of precipitants developed for MORPHEUS (mix found in columns 4, 8 and 12: 12.5% PEG 1000, 12.5% PEG 3350 and 12.5% MPD).

Conclusions

The advantages of designing an initial screen de novo have been demonstrated. MORPHEUS delivers a screen that is easy to make and the conditions are easy to optimize. It contains components that have been selected from crystallized complexes of previously published structures. It also contains a limited number of precipitant mixes that have been selected using local data from the MRC-LMB. MORPHEUS has been successful in crystallizing both known proteins and important new samples. Ideally, more small molecules with interesting characteristics that are not used in commercially available screens should be investigated, like some polyols (Cohen et al., 1993 ▶). An extensive set of amine derivatives, including well known polyamine additives (Ding et al., 1999 ▶) and aminated amino acids (Matsuoka et al., 2007 ▶), could form an excellent additive screen with frozen solutions for storage. Also, protein chaperones could be added for some challenging crystallizations (Ostermeier et al., 1995 ▶; Tereshko et al., 2008 ▶). In the same spirit, it would be interesting to investigate what could be done with molecules designed to mimic protein–protein interactions (Allen et al., 1998 ▶).
pH1M MES (ml)1M imidazole (ml)
6.136.014.0
6.333.516.5
6.530.619.4
6.727.522.5
6.925.025.0
pH1M MOPS (ml)1M HEPES-Na (ml)
7.134.515.5
7.330.020.0
7.525.924.1
7.722.137.9
7.917.732.3
pH1M bicine (ml)1M Trizma base (ml)
8.135.614.4
8.331.718.3
8.526.723.3
8.721.228.8
8.915.035.0
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