Membrane protein structure determination by electron crystallography

During the past year, electron crystallography of membrane proteins has provided structural insights into the mechanism of several different transporters and into their interactions with lipid molecules within the bilayer. From a technical perspective there have been important advances in high-throughput screening of crystallization trials and in automated imaging of membrane crystals with the electron microscope. There have also been key developments in software, and in molecular replacement and phase extension methods designed to facilitate the process of structure determination.     

Membrane protein structure determination using crystallography and lipidic mesophases: recent advances and successes

The crystal structure of the β(2)-adrenergic receptor in complex with an agonist and its cognate G protein has just recently been determined. It is now possible to explore in molecular detail the means by which this paradigmatic transmembrane receptor binds agonist, communicates the impulse or signaling event across the membrane, and sets in motion a series of G protein-directed intracellular responses. The structure was determined using crystals of the ternary complex grown in a rationally designed lipidic mesophase by the so-called in meso method. The method is proving to be particularly useful in the G protein-coupled receptor field where the structures of 13 distinct receptor types have been determined in the past 5 years. In addition to receptors, the method has proven to be useful with a wide variety of integral membrane protein classes that include bacterial and eukaryotic rhodopsins, light-harvesting complex II (LHII), photosynthetic reaction centers, cytochrome oxidases, β-barrels, an exchanger, and an integral membrane peptide. This attests to the versatility and range of the method and supports the view that the in meso method should be included in the arsenal of the serious membrane structural biologist. For this to happen, however, the reluctance to adopt it attributable, in part, to the anticipated difficulties associated with handling the sticky, viscous cubic mesophase in which crystals grow must be overcome. Harvesting and collecting diffraction data with the mesophase-grown crystals are also viewed with some trepidation. It is acknowledged that there are challenges associated with the method. Over the years, we have endeavored to establish how the method works at a molecular level and to make it user-friendly. To these ends, tools for handling the mesophase in the pico- to nanoliter volume range have been developed for highly efficient crystallization screening in manual and robotic modes. Methods have been implemented for evaluating the functional activity of membrane proteins reconstituted into the bilayer of the cubic phase as a prelude to crystallogenesis. Glass crystallization plates that provide unparalleled optical quality and sensitivity to nascent crystals have been built. Lipid and precipitant screens have been designed for a more rational approach to crystallogenesis such that the method can now be applied to an even wider variety of membrane protein types. In this work, these assorted advances are outlined along with a summary of the membrane proteins that have yielded to the method. The prospects for and the challenges that must be overcome to further develop the method are described.     

Requirements on paramagnetic relaxation enhancement data for membrane protein structure determination by NMR

Nuclear magnetic resonance (NMR) structure calculations of the α-helical integral membrane proteins DsbB, GlpG, and halorhodopsin show that distance restraints from paramagnetic relaxation enhancement (PRE) can provide sufficient structural information to determine their structure with an accuracy of about 1.5?? in the absence of other long-range conformational restraints. Our systematic study with simulated NMR data shows that about one spin label per transmembrane helix is necessary for obtaining enough PRE distance restraints to exclude wrong topologies, such as pseudo mirror images, if only limited other NMR restraints are available. Consequently, an experimentally realistic amount of PRE data enables α-helical membrane protein structure determinations that would not be feasible with the very limited amount of conventional NOESY data normally available for these systems. These findings are in line with our recent first de novo NMR structure determination of a heptahelical integral membrane protein, proteorhodopsin, that relied extensively on PRE data.     

De novo protein structure determination using sparse NMR data

We describe a method for generating moderate to high-resolution protein structures using limited NMR data combined with the ab initio protein structure prediction method Rosetta. Peptide fragments are selected from proteins of known structure based on sequence similarity and consistency with chemical shift and NOE data. Models are built from these fragments by minimizing an energy function that favors hydrophobic burial, strand pairing, and satisfaction of NOE constraints. Models generated using this procedure with 1 NOE constraint per residue are in some cases closer to the corresponding X-ray structures than the published NMR solution structures. The method requires only the sparse constraints available during initial stages of NMR structure determination, and thus holds promise for increasing the speed with which protein solution structures can be determined.     

Femtosecond nanocrystallography using X-ray lasers for membrane protein structure determination

The invention of free electron X-ray lasers has opened a new era for membrane protein structure determination with the recent first proof-of-principle of the new concept of femtosecond nanocrystallography. Structure determination is based on thousands of diffraction snapshots that are collected on a fully hydrated stream of nanocrystals. This review provides a summary of the method and describes how femtosecond X-ray crystallography overcomes the radiation-damage problem in X-ray crystallography, avoids the need for growth and freezing of large single crystals while offering a new method for direct digital phase determination by making use of the fully coherent nature of the X-ray beam. We briefly review the possibilities for time-resolved crystallography, and the potential for making 'molecular movies' of membrane proteins at work.     

Recombinant protein purification using complementary peptides as affinity tags

Affinity tags have become highly popular tools for purifying recombinant proteins from crude extracts by affinity chromatography. Besides, short peptides are excellent ligands for affinity chromatography, as they are not likely to cause an immune response in case of leakage into the product, they are more stable than antibodies to elution and cleaning conditions and they usually have very acceptable selectivity. Hydropathically complementary peptides designed de novo show enough selectivity to be used successfully as peptide ligands for protein purification from crude extracts. Recognition specificity and selectivity in the interaction between the complementary peptide pair His-Leu-Leu-Phe-Pro-Ile-Ile-Ile-Ala-Ala-Ser-Leu and Lys-Asn-Tyr-Pro-Lys-Lys-Lys-Met-Glu-Lys-Arg-Phe have been demonstrated by other authors. In this work, we designed a recombinant protein purification method using a peptide affinity tag that binds to a peptide-binding partner immobilized on a chromatographic matrix. The enhanced green fluorescent protein expressed (EGFP) in Escherichia coli was used as the model. The peptide Gly-Gly-Gly-His-Leu-Leu-Phe-Pro-Ile-Ile-Ile-Ala-Ala-Ser-Leu was synthesized by solid phase using the Fmoc chemistry and immobilized in NHS-Sepharose (PC-Sepharose). Gly residues were added as a spacer arm at the N terminus. The EGFP was expressed either with the fusion tag Lys-Asn-Tyr-Pro-Lys-Lys-Lys-Met-Glu-Lys-Arg-Phe on the C terminus (EGFP-CPTag) or without any fusion tag. After cell disruption, the extract was directly applied to the PC-Sepharose column equilibrated with 20mM sodium phosphate buffer, pH 7.0. The adsorbed EGFP-CPTag was then eluted with 1M Tris. The yield was 98% and the purification factor 4.6. By contrast, EGFP without tag pass through without interacting with the PC-Sepharose column. The method designed can be applied for the purification of other recombinant proteins.     

Site-specific chemical protein conjugation using genetically encoded aldehyde tags

We describe a method for modifying proteins site-specifically using a chemoenzymatic bioconjugation approach. Formylglycine generating enzyme (FGE) recognizes a pentapeptide consensus sequence, CxPxR, and it specifically oxidizes the cysteine in this sequence to an unusual aldehyde-bearing formylglyine. The FGE recognition sequence, or aldehyde tag, can be inserted into heterologous recombinant proteins produced in either prokaryotic or eukaryotic expression systems. The conversion of cysteine to formylglycine is accomplished by co-overexpression of FGE, either transiently or as a stable cell line, and the resulting aldehyde can be selectively reacted with α-nucleophiles to generate a site-selectively modified bioconjugate. This protocol outlines both the generation and the analysis of proteins aldehyde-tagged at their termini and the methods for chemical conjugation to the formylglycine. The process of generating aldehyde-tagged protein followed by chemical conjugation and purification takes 20 d.     

Enhanced soluble protein expression using two new fusion tags

Production of soluble recombinant proteins is vital for structure-function analysis and therapeutic applications. Unfortunately, when expressed in a heterologous host, such as Escherichia coli, most proteins are expressed as insoluble aggregates. Two new fusion partners have been identified to address these solubility problems. One of the tags was derived from a bacteriophage T7 protein kinase and the other one from a small E. coli chaperone, Skp. We have expressed a panel of insoluble human proteins including Hif1alpha, IL13, and folliculin as fusion proteins using these tags. Most of these fusion proteins were able to be expressed in a soluble form and could be purified by virtue of a Strep-tag II installed at the amino-terminal end of the fusion partners. In addition, we show that some of these proteins remained soluble after removal of the fusion tags by a site-specific protease. The results with these tags compare favorably to results with the most commonly used solubility tags described in the literature. Therefore, these two new fusion tags have the potential to express soluble proteins when fused with many recalcitrant proteins.     

Membrane protein structure predictions for exploration

A daring experiment is performed. Using sequence alignments to predict contacts between residues in protein spatial structures, Hopf et al. are publishing untested de novo structure models for 11 transmembrane protein families. Will their models stand the test of time and hold up to experimentation? The prospects are excellent.     

Stable and rigid DTPA-like paramagnetic tags suitable for in vitro and in situ protein NMR analysis

Organic synthesis of a ligand with high binding affinities for paramagnetic lanthanide ions is an effective way of generating paramagnetic effects on proteins. These paramagnetic effects manifested in high-resolution NMR spectroscopy are valuable dynamic and structural restraints of proteins and protein–ligand complexes. A paramagnetic tag generally contains a metal chelating moiety and a reactive group for protein modification. Herein we report two new DTPA-like tags, 4PS-PyDTTA and 4PS-6M-PyDTTA that can be site-specifically attached to a protein with a stable thioether bond. Both protein-tag adducts form stable lanthanide complexes, of which the binding affinities and paramagnetic tensors are tunable with respect to the 6-methyl group in pyridine. Paramagnetic relaxation enhancement (PRE) effects of Gd(III) complex on protein-tag adducts were evaluated in comparison with pseudocontact shift (PCS), and the results indicated that both 4PS-PyDTTA and 4PS-6M-PyDTTA tags are rigid and present high-quality PREs that are crucially important in elucidation of the dynamics and interactions of proteins and protein-ligand complexes. We also show that these two tags are suitable for in-situ protein NMR analysis.     

Integrating NOE and RDC using sum-of-squares relaxation for protein structure determination

We revisit the problem of protein structure determination from geometrical restraints from NMR, using convex optimization. It is well-known that the NP-hard distance geometry problem of determining atomic positions from pairwise distance restraints can be relaxed into a convex semidefinite program (SDP). However, often the NOE distance restraints are too imprecise and sparse for accurate structure determination. Residual dipolar coupling (RDC) measurements provide additional geometric information on the angles between atom-pair directions and axes of the principal-axis-frame. The optimization problem involving RDC is highly non-convex and requires a good initialization even within the simulated annealing framework. In this paper, we model the protein backbone as an articulated structure composed of rigid units. Determining the rotation of each rigid unit gives the full protein structure. We propose solving the non-convex optimization problems using the sum-of-squares (SOS) hierarchy, a hierarchy of convex relaxations with increasing complexity and approximation power. Unlike classical global optimization approaches, SOS optimization returns a certificate of optimality if the global optimum is found. Based on the SOS method, we proposed two algorithms—RDC-SOS and RDC–NOE-SOS, that have polynomial time complexity in the number of amino-acid residues and run efficiently on a standard desktop. In many instances, the proposed methods exactly recover the solution to the original non-convex optimization problem. To the best of our knowledge this is the first time SOS relaxation is introduced to solve non-convex optimization problems in structural biology. We further introduce a statistical tool, the Cramér–Rao bound (CRB), to provide an information theoretic bound on the highest resolution one can hope to achieve when determining protein structure from noisy measurements using any unbiased estimator. Our simulation results show that when the RDC measurements are corrupted by Gaussian noise of realistic variance, both SOS based algorithms attain the CRB. We successfully apply our method in a divide-and-conquer fashion to determine the structure of ubiquitin from experimental NOE and RDC measurements obtained in two alignment media, achieving more accurate and faster reconstructions compared to the current state of the art.     

Analysis of protein aggregation kinetics using short amino acid peptide tags

Understanding protein solubility, and consequently aggregation, is an important issue both from an academic and a biotechnological application viewpoints. Here we report the effects of 10 representative amino acids on the aggregation kinetics of proteins. The effects were determined by measuring the solubility of a simplified bovine pancreatic trypsin inhibitor (BPTI) variant, to which short artificial tags containing the amino acid of interest were added at its C-terminus. We determined the solubility of the tagged variants as a function of equilibration time (20 min to 48 h) and total protein concentration ranging from 0.10 mg/ml to 25.0 mg/ml. We observed, as anticipated, that proteins precipitated when the total protein concentration exceeded a critical value. However, when the total protein concentration was further increased, the apparent solubility reached a concentration above the critical value, and slowly decreased to a value under the critical concentration upon increasing the equilibration period. We rationalized these observations by identifying three different solubility values, the “transient solubility (TS)”, the “aggregation initiation concentration (AIC)” and the “long-term solubility (LS)”. AIC and LS are parameters determined essentially by the amino acid types composing the tags and could be considered as an amino acid's intrinsic property. On the other hand, TS is an apparent solubility that is measured after some (20 min in our case) equilibration time and is often considered as the “solubility” of the protein. Similar aggregation kinetic patterns were observed with natural proteins, indicating the generality of the observations made using our model protein.