Lysine methylation as a routine rescue strategy for protein crystallization

Crystallization remains a critical step in X-ray structure determination. Because it is not generally possible to rationally predict crystallization conditions, commercial screens have been developed which sample a wide range of crystallization space. While this approach has proved successful in many cases, a significant number of proteins fail to crystallize despite being soluble and monodispersed. It is established that chemical modification can facilitate the crystallization of otherwise intractable proteins. Here we describe a method for the reductive methylation of lysine residues which is simple, inexpensive, and efficient, and report on its application to ten proteins. We describe the effect of methylation on the physico-chemical properties of these proteins, and show that it led to diffraction-quality crystals from four proteins and structures for three that had hitherto proved refractory to crystallization. The method is suited to both low- and high-throughput laboratories.     

Statistical analysis of 15 dimensions in the crystallization space for protein-DNA complexes

Solving the three dimensional structure of a protein-DNA complex is a prerequisite to understand, at the atomic level, the interactions between DNA-binding proteins and their target DNA sequences. Arranging these complexes into an ordered and repetitive network (a crystal, suitable for X-Ray analysis) is a time-limiting empirical step. Although it has been suggested that the crystallization space for protein-DNA complexes is probably smaller than that of non-complexed proteins, a study presenting a detailed and updated analysis of this space is still missing. Here, we analyze the successful crystallization conditions of several hundred protein-DNA complexes and present a bias-free statistical analysis of 15 crystallization parameters that include concentration, temperature, pH, precipitants, salts, divalent cations and polyamines. Our analysis shows that some crystallization parameters are interestingly restricted into narrow intervals. These restrictions could be very helpful in the design of sparse-matrix crystallization screens that target exclusively protein-DNA complexes.     

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.     

Data mining crystallization databases: knowledge-based approaches to optimize protein crystal screens

Protein crystallization is a major bottleneck in protein X-ray crystallography, the workhorse of most structural proteomics projects. Because the principles that govern protein crystallization are too poorly understood to allow them to be used in a strongly predictive sense, the most common crystallization strategy entails screening a wide variety of solution conditions to identify the small subset that will support crystal nucleation and growth. We tested the hypothesis that more efficient crystallization strategies could be formulated by extracting useful patterns and correlations from the large data sets of crystallization trials created in structural proteomics projects. A database of crystallization conditions was constructed for 755 different proteins purified and crystallized under uniform conditions. Forty-five percent of the proteins formed crystals. Data mining identified the conditions that crystallize the most proteins, revealed that many conditions are highly correlated in their behavior, and showed that the crystallization success rate is markedly dependent on the organism from which proteins derive. Of the proteins that crystallized in a 48-condition experiment, 60% could be crystallized in as few as 6 conditions and 94% in 24 conditions. Consideration of the full range of information coming from crystal screening trials allows one to design screens that are maximally productive while consuming minimal resources, and also suggests further useful conditions for extending existing screens.     

In situ proteolysis for protein crystallization and structure determination

We tested the general applicability of in situ proteolysis to form protein crystals suitable for structure determination by adding a protease (chymotrypsin or trypsin) digestion step to crystallization trials of 55 bacterial and 14 human proteins that had proven recalcitrant to our best efforts at crystallization or structure determination. This is a work in progress; so far we determined structures of 9 bacterial proteins and the human aminoimidazole ribonucleotide synthetase (AIRS) domain.     

Synthesis,purification and crystallization of guanine-rich RNA oligonucleotides

Guanine-rich RNA oligonucleotides display many novel structural motifs in recent crystal structures. Here we describe the procedures of the chemical synthesis and the purification of such RNA molecules that are suitable for X-ray crystallographic studies. Modifications of the previous purification methods allow us to obtain better yields in shorter time. We also provide 24 screening conditions that are very effective in crystallization of the guanine-rich RNA oligonucleotides. Optimal crystallization conditions are usually achieved by adjustment of the concentration of the metal ions and pH of the buffer. Crystals obtained by this method usually diffract to high resolution. Published: November 22, 2004.     

Crystallization of sparingly soluble stress-related proteins from cyanobacteria by controlled urea solublization

The phycobilisome photosynthetic antenna complex, found in cyanobacteria and red-algae, interacts with proteins expressed specifically to deal with different forms of physiological stress. Under conditions of nutrient starvation, the NblA protein is required for the process that leads to phycobilisome degradation and bleaching of the cells. HspA, a 16.5 kDa heat shock protein expressed in cyanobacterial cells, has been shown to provide functional stability to the phycobilisome during heat stress. We have cloned the genes encoding for these proteins into bacterial expression vectors in order to determine their three-dimensional structures. The resulting recombinant proteins were found to be sparingly soluble, limiting their usefulness in the performance of crystallization experiments. We have developed a novel protocol that utilizes relatively high concentrations of urea to afford sufficient solubility to the protein. This has lead to the successful growth of diffraction quality crystals of these proteins. Complete data sets collected to 2-2.5A from crystals of both proteins shows that the crystals are stable, and useful for structure determination. A preliminary structure of the NblA shows that denaturation has not occurred and specific protein-protein interactions have been preserved. We believe that this protocol may be a generally advantageous method to obtain well diffracting crystals of sparingly soluble proteins.     

Protein crystallization by design: chymotrypsinogen without precipitants

Protein crystals are usually obtained by an empirical approach based on extensive screening to identify suitable crystallization conditions. In contrast, we have used a systematic predictive procedure to produce data-quality crystals of bovine chymotrypsinogen A and used them to obtain a refined X-ray structure to 3 A resolution. Measurements of the osmotic second virial coefficient of chymotrypsinogen solutions were used to identify suitable solvent conditions, following which crystals were grown for approximately 30 hours by ultracentrifugal crystallization, without the use of any precipitants. Existing structures of chymotrypsinogen were obtained in solutions including 10-30 % ethanol, whereas simple buffered NaCl solutions were used here. The protein crystallized in the tetragonal space group P4(1)2(1)2, with one molecule per asymmetric unit. The quality of the refined map was very high throughout, with the main-chain atoms of all but four residues clearly defined and with nearly all side-chains also defined. Although only minor differences are seen compared to the structures previously reported, they indicate the possibility of structural changes due to the crystallization conditions used in those studies. Our results show that more systematic crystallization of proteins is possible, and that the procedure can expand the range of conditions under which crystals can be grown successfully and can make new crystal forms available.     

Two novel heat-soluble protein families abundantly expressed in an anhydrobiotic tardigrade

Tardigrades are able to tolerate almost complete dehydration by reversibly switching to an ametabolic state. This ability is called anhydrobiosis. In the anhydrobiotic state, tardigrades can withstand various extreme environments including space, but their molecular basis remains largely unknown. Late embryogenesis abundant (LEA) proteins are heat-soluble proteins and can prevent protein-aggregation in dehydrated conditions in other anhydrobiotic organisms, but their relevance to tardigrade anhydrobiosis is not clarified. In this study, we focused on the heat-soluble property characteristic of LEA proteins and conducted heat-soluble proteomics using an anhydrobiotic tardigrade. Our heat-soluble proteomics identified five abundant heat-soluble proteins. All of them showed no sequence similarity with LEA proteins and formed two novel protein families with distinct subcellular localizations. We named them Cytoplasmic Abundant Heat Soluble (CAHS) and Secretory Abundant Heat Soluble (SAHS) protein families, according to their localization. Both protein families were conserved among tardigrades, but not found in other phyla. Although CAHS protein was intrinsically unstructured and SAHS protein was rich in β-structure in the hydrated condition, proteins in both families changed their conformation to an α-helical structure in water-deficient conditions as LEA proteins do. Two conserved repeats of 19-mer motifs in CAHS proteins were capable to form amphiphilic stripes in α-helices, suggesting their roles as molecular shield in water-deficient condition, though charge distribution pattern in α-helices were different between CAHS and LEA proteins. Tardigrades might have evolved novel protein families with a heat-soluble property and this study revealed a novel repertoire of major heat-soluble proteins in these anhydrobiotic animals.     

MOTOR: Model assisted software for NMR structure determination

Eukaryotic proteins with important biological function can be partially unstructured, conformational flexible, or heterogenic. Crystallization trials often fail for such proteins. In NMR spectroscopy, parts of the polypeptide chain undergoing dynamics in unfavorable time regimes cannot be observed. De novo NMR structure determination is seriously hampered when missing signals lead to an incomplete chemical shift assignment resulting in an information content of the NOE data insufficient to determine the structure ab initio. We developed a new protein structure determination strategy for such cases based on a novel NOE assignment strategy utilizing a number of model structures but no explicit reference structure as it is used for bootstrapping like algorithms. The software distinguishes in detail between consistent and mutually exclusive pairs of possible NOE assignments on the basis of different precision levels of measured chemical shifts searching for a set of maximum number of consistent NOE assignments in agreement with 3D space. Validation of the method using the structure of the low molecular‐weight‐protein tyrosine phosphatase A (MptpA) showed robust results utilizing protein structures with 30–45% sequence identity and 70% of the chemical shift assignments. About 60% of the resonance assignments are sufficient to identify those structural models with highest conformational similarity to the real structure. The software was benchmarked by de novo solution structures of fibroblast growth factor 21 (FGF21) and the extracellular fibroblast growth factor receptor domain FGFR4 D2, which both failed in crystallization trials and in classical NMR structure determination. Proteins 2013; 81:2007–2022. © 2013 Wiley Periodicals, Inc.     

Rapid Isolation of Single-chain Antibodies for Structural Genomics

High throughput approaches to structural genomics requires expression, purification, and crystallization of proteins derived from predicted open reading frames cloned into a host organism, typically E. coli. Early results from this approach suggest that the success rate of obtaining well diffracting crystals from eukaryotic proteins is disappointingly low. A proven method of improving the odds of crystallization is formation of a complex with a conformation-stabilizing partner of known structure that is easily crystallized. Such complexes are also able to engage in different crystal contacts than the original protein by itself. Fab fragments derived from monoclonal antibodies have been successfully used for this purpose for a variety of proteins, however conventional methods for the isolation of monoclonal antibodies from hybridomas are time consuming and expensive. We are exploring the use of phage display to generate recombinant antibodies to target proteins that can be used to obtain co-complexes to facilitate crystallization and structural determination. We are using a large, human single-chain Fv (scFv) library to select for antibodies that bind to a panel of Leishmania major target proteins. Thirteen out of 16 target proteins yielded good binders after three rounds of enrichment. A total of 55 distinct scFvs were identified, with five targets each yielding at least five different scFvs. Individual clones were analyzed for binding specificity and soluble scFv can be readily produced and purified via the appended His₆ epitope tag. Using immunoaffinity chromatography, eight scFv target protein pairs were identified that exhibit stable complex formation and are suitable for co-crystallization trials.     

The structural basis of the TIM10 chaperone assembly

Tim9 and Tim10 are essential components of the "small Tim" family of proteins that facilitate insertion of polytopic proteins at the inner mitochondrial membrane. The small Tims are themselves imported from the cytosol and are organized in specific translocation assemblies in the intermembrane space. Their conformational properties and how these influence the mechanism of assembly remain poorly understood. Moreover, the three-dimensional structure of the TIM10 complex is unknown. We have characterized the structural properties of these proteins in their free and assembled states using NMR, circular dichroism, and small angle x-ray scattering. We show that the free proteins are largely unfolded in their reduced assembly-incompetent state and molten globules in their oxidized assembly-competent state. Tim10 appears less structured than Tim9 in their respective free oxidized forms and undergoes a larger structural change than Tim9 upon complexation. The NMR data here demonstrates unequivocally that only the oxidized states of the Tim9 and Tim10 proteins are capable of forming a complex. Zinc binding stabilizes the reduced state against proteolysis without significantly affecting the secondary structure. Solution x-ray scattering was used to obtain a molecular envelope for the subunits individually and for their fully functional TIM10 complex. Ab initio shape reconstructions based on the scattering data has allowed us to obtain the first low resolution three-dimensional structure of the TIM10 complex. This is a novel structure that displays extensive surface hydrophobicity. The structure also provides an explanation for the escorting function of this non-ATP-powered chaperone particle.     

Protein crystallization: virtual screening and optimization

Advances in genomics have yielded entire genetic sequences for a variety of prokaryotic and eukaryotic organisms. This accumulating information has escalated the demands for three-dimensional protein structure determinations. As a result, high-throughput structural genomics has become a major international research focus. This effort has already led to several significant improvements in X-ray crystallographic and nuclear magnetic resonance methodologies. Crystallography is currently the major contributor to three-dimensional protein structure information. However, the production of soluble, purified protein and diffraction-quality crystals are clearly the major roadblocks preventing the realization of high-throughput structure determination.

This paper discusses a novel approach that may improve the efficiency and success rate for protein crystallization. An automated nanodispensing system is used to rapidly prepare crystallization conditions using minimal sample. Proteins are subjected to an incomplete factorial screen (balanced parameter screen), thereby efficiently searching the entire “crystallization space” for suitable conditions. The screen conditions and scored experimental results are subsequently analyzed using a neural network algorithm to predict new conditions likely to yield improved crystals. Results based on a small number of proteins suggest that the combination of a balanced incomplete factorial screen and neural network analysis may provide an efficient method for producing diffraction-quality protein crystals.     

Membrane protein structural biology – How far can the bugs take us? (Review)

Membrane proteins are core components of many essential cellular processes, and high-resolution structural data is therefore highly sought after. However, owing to the many bottlenecks associated with membrane protein crystallization, progress has been slow. One major problem is our inability to obtain sufficient quantities of membrane proteins for crystallization trials. Traditionally, membrane proteins have been isolated from natural sources, or for prokaryotic proteins, expressed by recombinant techniques. We are however a long way away from a streamlined overproduction of eukaryotic proteins. With this technical limitation in mind, we have probed the question as to how far prokaryotic homologues can take us towards a structural understanding of the eukaryotic/human membrane proteome(s).     

Membrane protein structural biology--how far can the bugs take us?

Membrane proteins are core components of many essential cellular processes, and high-resolution structural data is therefore highly sought after. However, owing to the many bottlenecks associated with membrane protein crystallization, progress has been slow. One major problem is our inability to obtain sufficient quantities of membrane proteins for crystallization trials. Traditionally, membrane proteins have been isolated from natural sources, or for prokaryotic proteins, expressed by recombinant techniques. We are however a long way away from a streamlined overproduction of eukaryotic proteins. With this technical limitation in mind, we have probed the question as to how far prokaryotic homologues can take us towards a structural understanding of the eukaryotic/human membrane proteome(s).     

A high-throughput method for membrane protein solubility screening: the ultracentrifugation dispersity sedimentation assay

One key to successful crystallization of membrane proteins is the identification of detergents that maintain the protein in a soluble, monodispersed state. Because of their hydrophobic nature, membrane proteins are particularly prone to forming insoluble aggregates over time. This nonspecific aggregation of the molecules reduces the likelihood of the regular association of the protein molecules essential for crystal lattice formation. Critical buffer components affecting the aggregation of membrane proteins include detergent choice, salt concentration, and presence of glycerol. The optimization of these parameters is often a time- and protein-consuming process. Here we describe a novel ultracentrifugation dispersity sedimentation (UDS) assay in which ultracentrifugation of very small (5 microL) volumes of purified, soluble membrane protein is combined with SDS-PAGE analysis to rapidly assess the degree of protein aggregation. The results from the UDS method correlate very well with established methods like size-exclusion chromatography (SEC), while consuming considerably less protein. In addition, the UDS method allows rapid screening of detergents for membrane protein crystallization in a fraction of the time required by SEC. Here we use the UDS method in the identification of suitable detergents and buffer compositions for the crystallization of three recombinant prokaryotic membrane proteins. The implications of our results for membrane protein crystallization prescreening are discussed.     

Predicting protein folding pathways

A structured folding pathway, which is a time ordered sequence of folding events, plays an important role in the protein folding process and hence, in the conformational search. Pathway prediction, thus gives more insight into the folding process and is a valuable guiding tool to search the conformation space. In this paper, we propose a novel 'unfolding' approach to predict the folding pathway. We apply graph-based methods on a weighted secondary structure graph of a protein to predict the sequence of unfolding events. When viewed in reverse this yields the folding pathway. We demonstrate the success of our approach on several proteins whose pathway is partially known.     

Residual structure in disordered peptides and unfolded proteins from multivariate analysis and ab initio simulation of Raman optical activity data

Vibrational Raman optical activity (ROA), measured as a small difference in the intensity of Raman scattering from chiral molecules in right- and left-circularly polarized incident light, or as the intensity of a small circularly polarized component in the scattered light, is a powerful probe of the aqueous solution structure of proteins. The large number of structure-sensitive bands in protein ROA spectra makes multivariate analysis techniques such as nonlinear mapping (NLM) especially favorable for determining structural relationships between different proteins. We have previously used NLM to map a large dataset of peptide, protein, and virus ROA spectra into a readily visualizable two-dimensional space in which points close to or distant from each other, respectively, represent similar or dissimilar structures. As well as folded proteins, our dataset contains ROA spectra from many natively unfolded proteins, proteins containing both folded and unfolded domains, denatured partially structured molten globule and reduced protein states, together with folded proteins containing little or no alpha-helix or beta-sheet. In this article, the relative positions of these systems in the NLM plot are used to obtain information about any residual structure that they may contain. The striking differences between the structural propensities of proteins that are unfolded in their native states and those that are unfolded due to denaturation may be responsible for their often very different behavior, especially with regard to aggregation. An ab initio simulation of the Raman and ROA spectra of an alanine oligopeptide in the poly(L-proline) II-helical conformation confirms previous suggestions that this conformation is a significant structural element in disordered peptides and natively unfolded proteins. The use of ROA to identify and characterize proteins containing significant amounts of unfolded structure will, inter alia, be valuable in structural genomics/proteomics since unfolded sequences often inhibit crystallization.     

G蛋白偶联受体计算研究的进展和前瞻

G蛋白偶联受体(G protein-coupled receptor,GPCR)是含有七个跨膜螺旋的一类重要蛋白,是迄今为止发现的最大的多药物靶标受体超蛋白家族。例如,目前上市药物中有超过30%是以GPCR为靶点的。然而,与GPCR重要性形成强烈反差的是科学界对于其结构与功能的了解非常贫乏,主要原因是通过实验手段来获得GPCR的结构与功能信息极其困难。利用生物信息学方法从基因组规模的数据中识别GPCR并预测三维结构是可行途径之一。基于生物信息学的GPCR研究将为新型药物靶标的筛选和药物的开发提供一定的帮助。本文论述了几种较为典型的GPCR计算方法,并基于已有研究提出可能的创新性研究策略来解决GPCR蛋白识别、跨膜区定位、以及结构和功能预测等问题。