An automated pipeline to screen membrane protein 2D crystallization

Electron crystallography relies on electron cryomicroscopy of two-dimensional (2D) crystals and is particularly well suited for studying the structure of membrane proteins in their native lipid bilayer environment. To obtain 2D crystals from purified membrane proteins, the detergent in a protein–lipid–detergent ternary mixture must be removed, generally by dialysis, under conditions favoring reconstitution into proteoliposomes and formation of well-ordered lattices. To identify these conditions a wide range of parameters such as pH, lipid composition, lipid-to-protein ratio, ionic strength and ligands must be screened in a procedure involving four steps: crystallization, specimen preparation for electron microscopy, image acquisition, and evaluation. Traditionally, these steps have been carried out manually and, as a result, the scope of 2D crystallization trials has been limited. We have therefore developed an automated pipeline to screen the formation of 2D crystals. We employed a 96-well dialysis block for reconstitution of the target protein over a wide range of conditions designed to promote crystallization. A 96-position magnetic platform and a liquid handling robot were used to prepare negatively stained specimens in parallel. Robotic grid insertion into the electron microscope and computerized image acquisition ensures rapid evaluation of the crystallization screen. To date, 38 2D crystallization screens have been conducted for 15 different membrane proteins, totaling over 3000 individual crystallization experiments. Three of these proteins have yielded diffracting 2D crystals. Our automated pipeline outperforms traditional 2D crystallization methods in terms of throughput and reproducibility.     

Controlled 2D crystallization of membrane proteins using methyl-beta-cyclodextrin

High-resolution structural data of membrane proteins can be obtained by studying 2D crystals by electron crystallography. Finding the right conditions to produce these crystals is one of the major bottlenecks encountered in 2D crystallography. Many reviews address 2D crystallization techniques in attempts to provide guidelines for crystallographers. Several techniques including new approaches to remove detergent like the biobeads technique and the development of dedicated devices have been described (dialysis and dilution machines). In addition, 2D crystallization at interfaces has been studied, the most prominent method being the 2D crystallization at the lipid monolayer. A new approach based on detergent complexation by cyclodextrins is presented in this paper. To prove the ability of cyclodextrins to remove detergent from ternary mixtures (lipid, detergent and protein) in order to get 2D crystals, this method has been tested with OmpF, a typical beta-barrel protein, and with SoPIP2;1, a typical alpha-helical protein. Experiments over different time ranges were performed to analyze the kinetic effects of detergent removal with cyclodextrins on the formation of 2D crystals. The quality of the produced crystals was assessed with negative stain electron microscopy, cryo-electron microscopy and diffraction. Both proteins yielded crystals comparable in quality to previous crystallization reports.     

Mechanism of formation of multilayered 2D crystals of the enzyme IIC-mannitol transporter

We have recently reported the crystallization by reconstitution into lipid bilayer structures of Enzyme IIC(mtl), the transmembrane C-domain of the mannitol transporter from E. coli. The projected structure was determined to a resolution of 0.5 nm [J. Mol. Biol. 287 5 (1999) 845]. However, further investigation proved that these crystals were multilamellar stacks instead of 2D crystals, and therefore were unsuitable for three-dimensional structural analysis by electron crystallography. Understanding the crystallogenesis of these crystals could reveal the mechanism of formation of multilayers. In the present study, cryo-electron microscopy (cryo-EM) and turbidimetry are used to study the successive steps of reconstitution of Enzyme IIC(mtl) into phospholipid-containing structures and its crystallization under different conditions. Our experimental approach enabled us to distinguish the separate steps of reconstitution and crystallization. The salt concentration especially influenced the nature of the vesicles, either half open unilamellar or aggregated multilamellar, formed during reconstitution of Enzyme IIC(mtl). The presence of DOPE and DOPC and the temperature influenced the type of lipid structures that were formed during the crystallization phase of Enzyme IIC(mtl). Cryo-EM showed that protein crystallization is closely associated with the formation of isotropic lipid (cubic) phases. We believe that DOPE is responsible for the formation of these lipid cubic phases, and that crystallization is driven by exclusion of protein from these phases and its concentration into the lamellar phases. This mechanism is inextricably associated with the formation of multilayers.     

蛋白质晶体的优化生长

蛋白质晶体的优化生长是获得高质量蛋白质晶体, 进而得到高精度晶体结构的有效途径.针对不同的晶体生长方法,已尝试了不同的优化手段,这对改善某些蛋白质晶体的质量显示了明显的成效.然而,鉴于蛋白质晶体生长的多样性与复杂性,这些方面均未发展成为实用的技术.文章综述了这类研究进展,分析了各手段的利弊,并指出了应着重解决的问题.     

7A projection map of the S-layer protein sbpA obtained with trehalose-embedded monolayer crystals

Two-dimensional crystallization on lipid monolayers is a versatile tool to obtain structural information of proteins by electron microscopy. An inherent problem with this approach is to prepare samples in a way that preserves the crystalline order of the protein array and produces specimens that are sufficiently flat for high-resolution data collection at high tilt angles. As a test specimen to optimize the preparation of lipid monolayer crystals for electron microscopy imaging, we used the S-layer protein sbpA, a protein with potential for designing arrays of both biological and inorganic materials with engineered properties for a variety of nanotechnology applications. Sugar embedding is currently considered the best method to prepare two-dimensional crystals of membrane proteins reconstituted into lipid bilayers. We found that using a loop to transfer lipid monolayer crystals to an electron microscopy grid followed by embedding in trehalose and quick-freezing in liquid ethane also yielded the highest resolution images for sbpA lipid monolayer crystals. Using images of specimens prepared in this way we could calculate a projection map of sbpA at 7A resolution, one of the highest resolution projection structures obtained with lipid monolayer crystals to date.     

A simple strategy towards membrane protein purification and crystallization

A simple and cost-efficient detergent screening strategy has been developed, by which a number of detergents were screened for their efficiency to extract and purify the recombinant ammonium/ammonia channel, AmtB, from Escherichia coli, hence selecting the most efficient detergents prior to large-scale protein production and crystallization. The method requires 1 ml cell culture and is a combination of immobilized metal ion affinity chromatography and filtration steps in 96-well plates. Large-scale protein purification and subsequent crystallization screening resulted in AmtB crystals diffracting to low resolution with three detergents. This strategy allows exclusion of detergents with the lowest probability in yielding protein crystals and selecting those with higher probability, hence, reducing the number of detergents to be screened prior to large-scale membrane protein purification and perhaps also crystallization.     

7 Å projection map of the S-layer protein sbpA obtained with trehalose-embedded monolayer crystals

Two-dimensional crystallization on lipid monolayers is a versatile tool to obtain structural information of proteins by electron microscopy. An inherent problem with this approach is to prepare samples in a way that preserves the crystalline order of the protein array and produces specimens that are sufficiently flat for high-resolution data collection at high tilt angles. As a test specimen to optimize the preparation of lipid monolayer crystals for electron microscopy imaging, we used the S-layer protein sbpA, a protein with potential for designing arrays of both biological and inorganic materials with engineered properties for a variety of nanotechnology applications. Sugar embedding is currently considered the best method to prepare two-dimensional crystals of membrane proteins reconstituted into lipid bilayers. We found that using a loop to transfer lipid monolayer crystals to an electron microscopy grid followed by embedding in trehalose and quick-freezing in liquid ethane also yielded the highest resolution images for sbpA lipid monolayer crystals. Using images of specimens prepared in this way we could calculate a projection map of sbpA at 7 Å resolution, one of the highest resolution projection structures obtained with lipid monolayer crystals to date.     

Membrane protein crystallization

The need for high-resolution structure information on membrane proteins is immediate and growing. Currently, the only reliable way to get it is crystallographically. The rate-limiting step from protein to structure is crystal production. An overview of the current ideas and experimental approaches prevailing in the area of membrane protein crystallization is presented. The long-established surfactant-based method has been reviewed extensively and is not examined in detail here. The focus instead is on the latest methods, all of which exploit the spontaneous self-assembling properties of lipids and detergent as vesicles (vesicle-fusion method), discoidal micelles (bicelle method), and liquid crystals or mesophases (in meso or cubic-phase method). In the belief that a knowledge of the underlying phase science is integral to understanding the molecular basis of these assorted crystallization strategies, the article begins with a brief primer on lipids, mesophases, and phase science, and the related issue of form and function as applied to lipids is addressed. The experimental challenges associated with and the solutions for procuring adequate amounts of homogeneous membrane proteins, or parts thereof, are examined. The cubic-phase method is described from the following perspectives: how it is done in practice, its general applicability and successes to date, and the nature of the mesophases integral to the process. Practical aspects of the method are examined with regard to salt, detergent, and screen solution effects; crystallization at low temperatures; tailoring the cubic phase to suit the target protein; different cubic-phase types; dealing with low-protein samples, colorless proteins, microcrystals, and radiation damage; transport within the cubic phase for drug design, cofactor retention, and phasing; using spectroscopy for quality control; harvesting crystals; and miniaturization and robotization for high-throughput screening. The section ends with a hypothesis for nucleation and growth of membrane protein crystals in meso. Thus far, the bicelle and vesicle-fusion methods have produced crystals of one membrane protein, bacteriorhodopsin. The experimental details of both methods are reviewed and their general applicability in the future is commented on. The three new methods are rationalized by analogy to crystallization in microgravity and with respect to epitaxy. A list of Web resources in the area of membrane protein crystallogenesis is included.     

Purification and crystallization of creatine kinase from rabbit skeletal muscle

Crystallization is the primary rate-limiting step in protein structure determination. It has been our experience over approximately 10 years that crystals are obtained in about 20% of the proteins attempted and that only about 10% of these crystals are sufficiently well ordered to permit atomic resolution structure analysis. In attempts to overcome this limitation, we have investigated the effect on crystallization of microheterogeneity in a protein regarded as pure by conventional criteria. Creatine kinase was purified from rabbit skeletal muscle and crystallized from methylpentanediol. The protein appeared to be nearly pure judging by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and high specific activity. The crystals that were obtained were of poor quality, and an extensive survey of precipitants, crystallization conditions, and additives failed to discover conditions from which usable crystals could be obtained. The enzyme was then subjected to a series of further purification steps. After each purification step, the quality of the crystals obtained under almost identical conditions improved. The final purification step was flat-bed isoelectric focusing. Crystals grown from focused creatine kinase are well ordered and diffract to approximately 3-A resolution.     

Protein crystallization analysis on the World Community Grid

We have developed an image-analysis and classification system for automatically scoring images from high-throughput protein crystallization trials. Image analysis for this system is performed by the Help Conquer Cancer (HCC) project on the World Community Grid. HCC calculates 12,375 distinct image features on microbatch-under-oil images from the Hauptman-Woodward Medical Research Institute’s High-Throughput Screening Laboratory. Using HCC-computed image features and a massive training set of 165,351 hand-scored images, we have trained multiple Random Forest classifiers that accurately recognize multiple crystallization outcomes, including crystals, clear drops, precipitate, and others. The system successfully recognizes 80% of crystal-bearing images, 89% of precipitate images, and 98% of clear drops.     

PredPPCrys: Accurate Prediction of Sequence Cloning,Protein Production,Purification and Crystallization Propensity from Protein Sequences Using Multi-Step Heterogeneous Feature Fusion and Selection

X-ray crystallography is the primary approach to solve the three-dimensional structure of a protein. However, a major bottleneck of this method is the failure of multi-step experimental procedures to yield diffraction-quality crystals, including sequence cloning, protein material production, purification, crystallization and ultimately, structural determination. Accordingly, prediction of the propensity of a protein to successfully undergo these experimental procedures based on the protein sequence may help narrow down laborious experimental efforts and facilitate target selection. A number of bioinformatics methods based on protein sequence information have been developed for this purpose. However, our knowledge on the important determinants of propensity for a protein sequence to produce high diffraction-quality crystals remains largely incomplete. In practice, most of the existing methods display poorer performance when evaluated on larger and updated datasets. To address this problem, we constructed an up-to-date dataset as the benchmark, and subsequently developed a new approach termed ‘PredPPCrys’ using the support vector machine (SVM). Using a comprehensive set of multifaceted sequence-derived features in combination with a novel multi-step feature selection strategy, we identified and characterized the relative importance and contribution of each feature type to the prediction performance of five individual experimental steps required for successful crystallization. The resulting optimal candidate features were used as inputs to build the first-level SVM predictor (PredPPCrys I). Next, prediction outputs of PredPPCrys I were used as the input to build second-level SVM classifiers (PredPPCrys II), which led to significantly enhanced prediction performance. Benchmarking experiments indicated that our PredPPCrys method outperforms most existing procedures on both up-to-date and previous datasets. In addition, the predicted crystallization targets of currently non-crystallizable proteins were provided as compendium data, which are anticipated to facilitate target selection and design for the worldwide structural genomics consortium. PredPPCrys is freely available at http://www.structbioinfor.org/PredPPCrys.     

Molecular-level thermodynamic and kinetic parameters for the self-assembly of apoferritin molecules into crystals

The self-assembly of apoferritin molecules into crystals is a suitable model for protein crystallization and aggregation; these processes underlie several biological and biomedical phenomena, as well as for protein and virus self-assembly. We use the atomic force microscope in situ, during the crystallization of apoferritin to visualize and quantify at the molecular level the processes responsible for crystal growth. To evaluate the governing thermodynamic parameters, we image the configuration of the incorporation sites, "kinks", on the surface of a growing crystal. We show that the kinks are due to thermal fluctuations of the molecules at the crystal-solution interface. This allows evaluation of the free energy of the intermolecular bond phi=3.0 k(B)T=7.3 kJ/mol. The crystallization free energy, extracted from the protein solubility, is -42 kJ/mol. Published determinations of the second virial coefficient and the protein solubility between 0 and 40 degrees C revealed that the enthalpy of crystallization is close to zero. Analyses based on these three values suggest that the main component in the crystallization driving force is the entropy gain of the water molecules bound to the protein molecules in solution and released upon crystallization. Furthermore, monitoring the incorporation of individual molecules in to the kinks, we determine the characteristic frequency of attachment of individual molecules at one set of conditions. This allows a correlation between the mesoscopic kinetic coefficient for growth and the molecular-level thermodynamic and kinetic parameters determined here. We found that step growth velocity, scaled by the molecular size, equals the product of the kink density and attachment frequency, i.e. the latter pair are the molecular-level parameters for self-assembly of the molecules into crystals.     

Purification, properties, and crystallization of Saccharomyces cerevisiae dihydropterin pyrophosphokinase-dihydropteroate synthase

The tri-functional enzyme of Saccharomyces cerevisiae dihydroneopterin aldolase (DHNA)-dihydropterin pyrophosphokinase (PPPK)-dihydropteroate synthase (DHPS) catalyzes three sequential steps in folate biosynthesis. A cDNA encoding the PPPK and DHPS domains of the tri-functional enzyme has been cloned. This bi-functional enzyme was expressed as a His(6) fusion protein in Escherichia coli and the protein was purified to apparent homogeneity. The purified protein possesses both PPPK and DHPS activities as measured by the incorporation of [(3)H]p-ABA into the appropriate substrate. The pH optimum of the DHPS activity was determined to be 8.5. Gel filtration measurement indicates that the protein exists as a dimer in solution. A robotic screening method was used to identify crystallization conditions. Bi-pyramidal crystals of the enzyme formed with the protein in the presence of a pterin substrate analog in phosphate buffer (pH 6.3) and these diffracted to 2.3A. Structural information from these crystals could be used to design novel drugs to inhibit folate biosynthesis.     

Detection of membrane protein two-dimensional crystals in living cells

It is notoriously difficult to grow membrane protein crystals and solve membrane protein structures. Improved detection and screening of membrane protein crystals are needed. We have shown here that second-order nonlinear optical imaging of chiral crystals based on second harmonic generation can provide sensitive and selective detection of two-dimensional protein crystalline arrays with sufficiently low background to enable crystal detection within the membranes of live cells. The method was validated using bacteriorhodopsin crystals generated in live Halobacterium halobium bacteria and confirmed by electron microscopy from the isolated crystals. Additional studies of alphavirus glycoproteins indicated the presence of localized crystalline domains associated with virus budding from mammalian cells. These results suggest that in vivo crystallization may provide a means for expediting membrane protein structure determination for proteins exhibiting propensities for two-dimensional crystal formation.     

Crystallization of the membrane protein hVDAC1 produced in cell-free system

Structural studies of membrane proteins are in constant evolution with the development of new improvements for their expression, purification, stabilization and crystallization. However, none of these methods still provides a universal approach to solve the structure of membrane proteins. Here we describe the crystallization of the human voltage-dependent anion channel-1 produced by a bacterial cell-free expression system. While VDAC structures have been recently solved, we propose an alternative strategy for producing the recombinant protein, which can be applied to other membrane proteins reluctant to expression, purification and crystallization by classical approaches. Despite a lot of efforts to crystallize a cell-free expressed membrane protein, this study is to our knowledge one of the first reports of a successful crystallization. Focusing on expression in a soluble and functional state, in a detergent environment, is the key to get crystals. Although the diffraction of VDAC crystals is limited, the simplicity and the rapidity to set-up and optimize this technology are drastic advantages in comparison to other methods.     

A Technique for High-Throughput Protein Crystallization in Ionically Cross-Linked Polysaccharide Gel Beads for X-Ray Diffraction Experiments

A simple technique for high-throughput protein crystallization in ionically cross-linked polysaccharide gel beads has been developed for contactless handling of crystals in X-ray crystallography. The method is designed to reduce mechanical damage to crystals caused by physical contact between crystal and mount tool and by osmotic shock during various manipulations including cryoprotection, heavy-atom derivatization, ligand soaking, and diffraction experiments. For this study, protein crystallization in alginate and κ-carrageenan gel beads was performed using six test proteins, demonstrating that proteins could be successfully crystallized in gel beads. Two complete diffraction data sets from lysozyme and ID70067 protein crystals in gel beads were collected at 100 K without removing the crystals; the results showed that the crystals had low mosaicities. In addition, crystallization of glucose isomerase was carried out in alginate gel beads in the presence of synthetic zeolite molecular sieves (MS), a hetero-epitaxic nucleant; the results demonstrated that MS can reduce excess nucleation of this protein in beads. To demonstrate heavy-atom derivatization, lysozyme crystals were successfully derivatized with K₂PtBr₆ within alginate gel beads. These results suggest that gel beads prevent serious damage to protein crystals during such experiments.     

Three-dimensional diffractive imaging for crystalline monolayers with one-dimensional compact support

The use of a compact support constraint along the beam direction is considered as a solution to the phase problem for diffraction by two-dimensional protein crystals. Specifically we apply the iterative Gerchberg-Saxton-Fienup algorithm to simulated three-dimensional transmission electron diffraction data from monolayer organic crystals. We find that oversampling along the reciprocal-lattice rods (relrods) normal to the monolayer alone does not solve the phase problem in this geometry in general. However, based on simulations for a crystalline protein monolayer (lysozyme), we find that convergence is obtained in three dimensions if phases are supplied from a few high resolution electron microscope images recorded at small tilts to the beam direction. In the absence of noise, amplitude-weighted phase residuals of around 5 degrees, and a cross-correlation coefficient of 0.96 between the true and estimated potential are obtained if phases are included from images at tilts of up to 15 degrees. The performance is almost as good in the presence of noise at a level that is comparable to that commonly observed in electron crystallography of proteins. The method should greatly reduce the time and labor needed for data acquisition and analysis in cryo-electron microscopy of organic thin crystals by avoiding the need to record images at high tilt angles.     

Visualization of RNA crystal growth by atomic force microscopy.

The crystallization of transfer RNA (tRNA) was investigated using atomic force microscopy (AFM) over the temperature range from 4 to 16 degrees C, and this produced the first in situ AFM images of developing nucleic acid crystals. The growth of the (110) face of hexagonal yeast tRNAPhe crystals was observed to occur at steps on vicinal hillocks generated by multiple screw dislocation sources in the temperature range of 13.5-16 degrees C. Two-dimensional nucleation begins to dominate at 13.5 degrees C, with the appearance of three-dimensional nuclei at 12 degrees C. The changes in growth mechanisms are correlated with variations in supersaturation which is higher in the low temperature range. Growth of tRNA crystals was characterized by a strong anisotropy in the tangential step movement and transformation of growth modes on single crystals were directly observed by AFM over the narrow temperature range utilized. Finally, lattice resolution images of the molecular structure of surface layers were recorded. The implications of the strong temperature dependence of tRNAPhe crystal growth are discussed in view of improving and better controlling crystallization of nucleic acids.     

Use of layer silicate for protein crystallization: effects of Micromica and chlorite powders in hanging drops

Two kinds of layer silicate powder, Micromica and chlorite, were used to aid protein crystallization by the addition to hanging drops. Using appropriate crystallization buffers, Micromica powder facilitated crystal growth speed for most proteins tested in this study. Furthermore, the addition of Micromica powder to hanging drops allowed the successful crystallization of lysozyme, catalase, concanavalin A, and trypsin even at low protein concentrations and under buffer conditions that otherwise would not generate protein crystals. Except for threonine synthase and apoferritin, the presence of chlorite delayed crystallization but induced the formation of large crystals. X-ray analysis of thaumatin crystals generated by our novel procedure gave better quality data than did that of crystals obtained by a conventional hanging drop method. Our results suggest that the speed of crystal growth and the quality of the corresponding X-ray data may be inversely related, at least for the formation of thaumatin crystals. The effect of Micromica and chlorite powders and the application of layer silicate powder for protein crystallization are discussed.     

Evaluation of a model for seeded isothermal batch protein crystallization

Bulk protein crystallization, unlike small molecule crystallization, has found very limited use in biopharmaceutical manufacture. Most work in this area targets obtaining single large crystals for molecular structure determination by crystallography. Design and optimization of bulk crystallization for protein recovery and purification is much less common, and requires a mathematical model for analysis of laboratory data suitable for scale-up purposes. Traditionally, the crystal size distribution and method of moments is used to characterize the crystallization process. A simpler method is presented in this paper that utilizes the desupersaturation curve. The method uses an approach that does not require expensive instrumentation or characterization of the seed crystal size distribution. The method is extended to allow determination of both the mass deposition rate constant and the growth rate order from a single desuperaturation curve. Experimental data for the bulk crystallization of ovalbumin are used to validate the method. The rate constants and rate order obtained using the new method compare well with literature values. Scale-up is illustrated by prediction of the impact of changes in seed mass on protein crystallization. This new method offers a straightforward and low-cost alternative to traditional methods for the analysis and scale-up of protein crystallization data.