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Type-A γ-aminobutyric acid (GABAA) receptors are pentameric ligand-gated ion channels (pLGICs), typically consisting of α/β/γ subunit combinations. They are the principal mediators of inhibitory neurotransmission throughout the central nervous system and targets of major clinical drugs, such as benzodiazepines (BZDs) used to treat epilepsy, insomnia, anxiety, panic disorder and muscle spasm. However, the structures of heteromeric receptors and the molecular basis of BZD operation remain unknown. Here we report the cryo-EM structure of a human α1β3γ2 GABAAR in complex with GABA and a nanobody that acts as a novel positive allosteric modulator (PAM). The receptor subunits assume a unified quaternary activated conformation around an open pore. We also present crystal structures of engineered α5 and α5γ2 GABAAR constructs, revealing the interfacial site for allosteric modulation by BZDs, including the binding modes and the conformational impact of the potent anxiolytic and partial PAM, bretazenil, and the BZD antagonist, flumazenil. These findings provide the foundation for understanding the mechanistic basis of GABAAR activation.

The Protein Information Management System (PiMS) is a laboratory information management system (LIMS) designed for use with the production of proteins in a research environment. The software is distributed under the CCP4 licence, and so is available free of charge to academic laboratories. Like most LIMS, the underlying PiMS data model originally had no support for protein-protein complexes. To support the SPINE2-Complexes project the developers have extended PiMS to meet these requirements. The modifications to PiMS, described here, include data model changes, additional protocols, some user interface changes and functionality to detect when an experiment may have formed a complex. Example data are shown for the production of a crystal of a protein complex. Integration with SPINE2-Complexes Target Tracker application is also described. © 2011 Elsevier Inc.

Membranes are essential for selectively controlling the passage of molecules in and out of cells and mediating the response of cells to their environment. Biological membranes and their associated proteins present considerable difficulties for structural analysis. Although enveloped viruses have been imaged at about 9 A resolution by cryo-electron microscopy and image reconstruction1,2, no detailed crystallographic structure of a membrane system has been described. The structure of the bacteriophage PRD1 particle, determined by X-ray crystallography at about 4 A resolution, allows the first detailed analysis of a membrane-containing virus3. The architecture of the viral capsid and its implications for virus assembly are presented in the accompanying paper3. Here we show that the electron density also reveals the icosahedral lipid bilayer, beneath the protein capsid, enveloping the viral DNA. The viral membrane contains about 26,000 lipid molecules asymmetrically distributed between the membrane leaflets. The inner leaflet is composed predominantly of zwitterionic phosphatidylethanolamine molecules, facilitating a very close interaction with the viral DNA, which we estimate to be packaged to a pressure of about 45 atm, factors that are likely to be important during membrane-mediated DNA translocation into the host cell. In contrast, the outer leaflet is enriched in phosphatidylglycerol and cardiolipin, which show a marked lateral segregation within the icosahedral asymmetric unit. In addition, the lipid headgroups show a surprising degree of order.

Many insect viruses survive for long periods by occlusion within robust crystalline polyhedra composed primarily of a single polyhedrin protein. We show that two different virus families form polyhedra which, despite lack of sequence similarity in the virally encoded polyhedrin protein, have identical cell constants and a body-centered cubic lattice. It is almost inconceivable that this could have arisen by chance, suggesting that the crystal lattice has been preserved because it is particularly well-suited to its function of packaging and protecting viruses.

In-Fusion™ cloning is a fl exible DNA ligase-independent cloning technology that has wide-ranging uses in molecular biology. In this chapter we describe the protocols used in the OPPF-UK to design and construct expression vectors using In-Fusion™. Our method for small scale expression screening in Escherichia coli of constructs generated by In-Fusion™ is also outlined. © Springer Science+Business Media New York 2014.

International audience; The concentration of double-stranded RNA within the bluetongue virus core renders the genome segments liquid crystalline. Powder diffraction rings confirm this local ordering with a 30 A separation between strands. Determination of the structure of the bluetongue virus core serotype 10 and comparison with that of serotype 1 reveals most of the genomic double-stranded RNA, packaged as well-ordered layers surrounding putative transcription complexes at the apices of the particle. The outer layer of RNA is sufficiently well ordered by interaction with the capsid that a model can be built and extended to the less-ordered inner layers, providing a structural framework for understanding the mechanism of this complex transcriptional machine. We show that the genome segments maintain local order during transcription.The concentration of double-stranded RNA within the bluetongue virus core renders the genome segments liquid crystalline. Powder diffraction rings confirm this local ordering with a 30 A separation between strands. Determination of the structure of the bluetongue virus core serotype 10 and comparison with that of serotype 1 reveals most of the genomic double-stranded RNA, packaged as well-ordered layers surrounding putative transcription complexes at the apices of the particle. The outer layer of RNA is sufficiently well ordered by interaction with the capsid that a model can be built and extended to the less-ordered inner layers, providing a structural framework for understanding the mechanism of this complex transcriptional machine. We show that the genome segments maintain local order during transcription.

The Protein Information Management System (PiMS) is described together with a discussion of how its features make it well suited to laboratories of all sizes., The techniques used in protein production and structural biology have been developing rapidly, but techniques for recording the laboratory information produced have not kept pace. One approach is the development of laboratory information-management systems (LIMS), which typically use a relational database schema to model and store results from a laboratory workflow. The underlying philosophy and implementation of the Protein Information Management System (PiMS), a LIMS development specifically targeted at the flexible and unpredictable workflows of protein-production research laboratories of all scales, is described. PiMS is a web-based Java application that uses either Postgres or Oracle as the underlying relational database-management system. PiMS is available under a free licence to all academic laboratories either for local installation or for use as a managed service.

It has proved difficult to obtain well diffracting single crystals of macromolecular complexes rich in lipid. We report here the path that has led to crystals of the bacteriophage PRD1, a particle containing approximately 2000 protein subunits from 18 different protein species, around 10 of which are integral membrane proteins associated with a host-derived lipid bilayer of some 12 500 lipid molecules. These crystals are capable of diffracting X-rays to Bragg spacings below 4 A. It is hoped that some lessons learned from PRD1 will be applicable to other lipidic systems and that these crystals will allow, as a proof of principle, the determination of the structure of the virus in terms of a detailed atomic model.

A fast and easy tool to locate unit-cell matches in the PDB is described., When embarking upon X-ray diffraction data collection from a potentially novel macromolecular crystal form, it can be useful to ascertain whether the measured data reflect a crystal form that is already recorded in the Protein Data Bank and, if so, whether it is part of a large family of related structures. Providing such information to crystallographers conveniently and quickly, as soon as the first images have been recorded and the unit cell characterized at an X-ray beamline, has the potential to save time and effort as well as pointing to possible search models for molecular replacement. Given an input unit cell, and optionally a space group, Nearest-cell rapidly scans the Protein Data Bank and retrieves near-matches.

Producing soluble proteins in Escherichia coli is still a major bottleneck for structural proteomics. Therefore, screening for soluble expression on a small scale is an attractive way of identifying constructs that are likely to be amenable to structural analysis. A variety of expression-screening methods have been developed within the Structural Proteomics In Europe (SPINE) consortium and to assist the further refinement of such approaches, eight laboratories participating in the network have benchmarked their protocols. For this study, the solubility profiles of a common set of 96 His6-tagged proteins were assessed by expression screening in E. coli. The level of soluble expression for each target was scored according to estimated protein yield. By reference to a subset of the proteins, it is demonstrated that the small-scale result can provide a useful indicator of the amount of soluble protein likely to be produced on a large scale (i.e. sufficient for structural studies). In general, there was agreement between the different groups as to which targets were not soluble and which were the most soluble. However, for a large number of the targets there were wide discrepancies in the results reported from the different screening methods, which is correlated with variations in the procedures and the range of parameters explored. Given finite resources, it appears that the question of how to most effectively explore `expression space' is similar to several other multi-parameter problems faced by crystallographers, such as crystallization.

International audience; SPINE (Structural Proteomics In Europe) was established in 2002 as an integrated research project to develop new methods and technologies for high-throughput structural biology. Development areas were broken down into workpackages and this article gives an overview of ongoing activity in the bioinformatics workpackage. Developments cover target selection, target registration, wet and dry laboratory data management and structure annotation as they pertain to high-throughput studies. Some individual projects and developments are discussed in detail, while those that are covered elsewhere in this issue are treated more briefly. In particular, this overview focuses on the infrastructure of the software that allows the experimentalist to move projects through different areas that are crucial to high-throughput studies, leading to the collation of large data sets which are managed and eventually archived and/or deposited.

Crystallization trials at the Division of Structural Biology in Oxford are now almost exclusively carried out using a high-throughput workflow implemented in the Oxford Protein Production Facility. Initial crystallization screening is based on nanolitre-scale sitting-drop vapour-diffusion experiments (typically 100 nl of protein plus 100 nl of reservoir solution per droplet) which use standard crystallization screening kits and 96-well crystallization plates. For 294 K crystallization trials the barcoded crystallization plates are entered into an automated storage system with a fully integrated imaging system. These plates are imaged in accordance with a pre-programmed schedule and the resulting digital data for each droplet are harvested into a laboratory information-management system (LIMS), scored by crystal recognition software and displayed for user analysis via a web-based interface. Currently, storage for trials at 277 K is not automated and for imaging the crystallization plates are fed by hand into an imaging system from which the data enter the LIMS. The workflow includes two procedures for nanolitre-scale optimization of crystallization conditions: (i) a protocol for variation of pH, reservoir dilution and protein:reservoir ratio and (ii) an additive screen. Experience based on 592 crystallization projects is reported.

A protocol for setting up nanolitre sitting-drop vapour-diffusion experiments is reported. The procedure uses standard crystallization screening kits and 96-well crystallization plates. Reservoir solutions are transferred from 96-deep-well blocks to crystallization plates in a single step with a Robbins-Hydra pipettor. Nanolitre droplets of protein as well as reservoir solution are dispensed by a Cartesian pipetting instrument. Experiments have been carried out to characterize the performance of this instrument. Adaptations to the Cartesian, which include an anti-evaporation cover plate, are described and tested. The protocol was designed for a high-throughput facility, but can be used in any standard crystallography laboratory.

Most non-nucleoside reverse transcriptase (RT) inhibitors are specific for HIV-1 RT and demonstrate minimal inhibition of HIV-2 RT. However, we report that members of the phenylethylthiazolylthiourea (PETT) series of non-nucleoside reverse transcriptase inhibitors showing high potency against HIV-1 RT have varying abilities to inhibit HIV-2 RT. Thus, PETT-1 inhibits HIV-1 RT with an IC(50) of 6 nM but shows only weak inhibition of HIV-2 RT, whereas PETT-2 retains similar potency against HIV-1 RT (IC(50) of 5 nM) and also inhibits HIV-2 RT (IC(50) of 2.2 microM). X-ray crystallographic structure determinations of PETT-1 and PETT-2 in complexes with HIV-1 RT reveal the compounds bind in an overall similar conformation albeit with some differences in their interactions with the protein. To investigate whether PETT-2 could be acting at a different site on HIV-2 RT (e.g. the dNTP or template primer binding site), we compared modes of inhibition for PETT-2 against HIV-1 and HIV-2 RT. PETT-2 was a noncompetitive inhibitor with respect to the dGTP substrate for both HIV-1 and HIV-2 RTs. PETT-2 was also a noncompetitive inhibitor with respect to a poly(rC).(dG) template primer for HIV-2 RT. These results are consistent with PETT-2 binding in corresponding pockets in both HIV-1 and HIV-2 RT with amino acid sequence differences in HIV-2 RT affecting the binding of PETT-2 compared with PETT-1.

International audience; The structure of the core particle of bluetongue virus has been determined by X-ray crystallography at a resolution approaching 3.5 A. This transcriptionally active compartment, 700 A in diameter, represents the largest molecular structure determined in such detail. The atomic structure indicates how approximately 1,000 protein components self-assemble, using both the classical mechanism of quasi-equivalent contacts, which are achieved through triangulation, and a different method, which we term geometrical quasi-equivalence.The structure of the core particle of bluetongue virus has been determined by X-ray crystallography at a resolution approaching 3.5 A. This transcriptionally active compartment, 700 A in diameter, represents the largest molecular structure determined in such detail. The atomic structure indicates how approximately 1,000 protein components self-assemble, using both the classical mechanism of quasi-equivalent contacts, which are achieved through triangulation, and a different method, which we term geometrical quasi-equivalence.

A major advance in protein structure determination has been the advent of nanolitre-scale crystallization and (in a high-throughput environment) the development of robotic systems for storing and imaging crystallization trials. Most of these trials are carried out in 96-well (or higher density) plates and managing them is a significant information management challenge. We describe xtalPiMS, a web-based application for the management and monitoring of crystallization trials. xtalPiMS has a user-interface layer based on the standards of the Protein Information Management System (PiMS) and a database layer which links the crystallization trial images to the meta-data associated with a particular crystallization trial. The user interface has been optimized for the efficient monitoring of high-throughput environments with three different automated imagers and work to support a fourth imager is in progress, but it can even be of use without robotics. The database can either be a PiMS database or a legacy database for which a suitable mapping layer has been developed. © 2011 Elsevier Inc.

The automation of recombinant protein production enables the rapid and parallel processing of multiple products. Laboratory robotic systems have been developed that deliver a range of automated protein production technologies, including expression screening in both cell-based and cell-free systems. Liquid handling robotics are routinely used in the small-scale purification of proteins in parallel based on affinity capture methods typically on metal chelating matrices. Multidimensional chromatography has also been automated enabling complex protein purification strategies to be carried out with little manual intervention. The increasing use of cell-based assays in discovery projects has driven the development of dedicated robotic systems for handling the culture of mammalian cells. Critical to the successful implementation of laboratory automation is the development of an information management system to ensure the recording of data and tracking of samples generated during the process of protein production. Key Concepts: The automation of recombinant protein production enables the rapid and parallel processing of multiple products. Automation can be beneficial in both cost and reproducibility. The automation of liquid handling tasks involving either cells, nucleic acids or protein samples is central to all laboratory robotic systems. Using modular robotics enables workflow changes to be introduced without the need to rebuild a complete system. Managing the increased volume of data arising from automation can be a problem in its own right. The biggest benefits come from integrating automated systems with electronic Laboratory Information Management Systems. Analysis of the large datasets collected can lead to tools that predict how an untested protein will behave. Keywords: automation; protein production; laboratory information management

The production of proteins in sufficient quantity and of appropriate quality is an essential pre-requisite for structural studies. Escherichia coli remains the dominant expression system in structural biology with nearly 90% of the structures in the Protein Data Bank (PDB) derived from proteins produced in this bacterial host. However, many mammalian and eukaryotic viral proteins require post-translation modification for proper folding and/or are part of large multimeric complexes. Therefore expression in higher eukaryotic cell lines from both invertebrate and vertebrate is required to produce these proteins. Although these systems are generally more time-consuming and expensive to use than bacteria, there have been improvements in technology that have streamlined the processes involved. For example, the use of multi-host vectors, i.e., containing promoters for not only E. coli but also mammalian and baculovirus expression in insect cells, enables target genes to be evaluated in both bacterial and higher eukaryotic hosts from a single vector. Culturing cells in micro-plate format allows screening of large numbers of vectors in parallel and is amenable to automation. The development of large-scale transient expression in mammalian cells offers a way of rapidly producing proteins with relatively high throughput. Strategies for selenomethionine-labelling (important for obtaining phase information in crystallography) and controlling glycosylation (important for reducing the chemical heterogeneity of glycoproteins) have also been reported for higher eukaryotic cell expression systems.

SummaryWe describe the design of a database and software for managing and organizing protein crystallization data. We also outline the considerations behind the design of a fast web interface linking protein production data, crystallization images, and automated image analysis. The database and associated interfaces underpin the Oxford Protein Production Facility (OPPF) crystallization laboratory, collecting, in a routine and automatic manner, up to 100,000 images per day. Over 17 million separate images are currently held in this database. We discuss the substantial scientific benefits automated tracking, imaging, and analysis of crystallizations offers to the structural biologist: analysis of the time course of the trial and easy analysis of trials with related crystallization conditions. Features of this system address requirements common to many crystallographic laboratories that are currently setting up (semi-)automated crystallization imaging systems.

The replication phase of the bluetongue virus (BTV) infection cycle is initiated when the virus core is delivered into the cytoplasm of a susceptible host cell. The 10 segments of the viral genome remain packaged within the core throughout the replication cycle, helping to prevent the activation of host defence mechanisms that would be caused by direct contact between the dsRNA and the host cell cytoplasm. However, the BTV core is a biochemically active 'nano-scale' machine, which can simultaneously and repeatedly transcribe mRNA from each of the 10 genome segments, which are packaged as a liquid crystal array within a central cavity. These mRNAs, which are also capped and methylated within the core, are extruded into the cytoplasm through pores at the vertices of the icosahedral structure, where they are translated into viral proteins. One copy of each of the viral mRNAs is also assembled with these newly synthesised proteins to form nascent virus particles, which mature by a process that involves -ve RNA strand synthesis on the +ve stand template, thereby reforming dsRNA genome segments within progeny virus cores. The structure of the BTV core particle has been determined to atomic resolution by X-ray crystallography, revealing the organisation and interactions of its major protein components (VP3(T2)-subcore shell and VP7(T13) outer core layer) and important features of the packaged dsRNA. By soaking crystals of BTV cores with metal ions and substrates/products of the transcription reactions prior to analysis by X-ray crystallography, then constructing difference maps, it has been possible to identify binding sites and entry/exit routes for these ions, substrates and products. This has revealed how BTV solves the many logistical problems of multiple and simultaneous transcription from the 10 genome segments within the confined space of the core particle. The crystal structure of the BTV core has also revealed an outer surface festooned with dsRNA. This may represent a further protective strategy adopted by the virus to prevent host cell shut-off, by sequestering any dsRNA that may be released from damaged particles.

The structure of the membrane-containing bacteriophage PRD1 has been determined by X-ray crystallography at about 4 A resolution. Here we describe the structure and location of proteins P3, P16, P30 and P31. Different structural proteins seem to have specialist roles in controlling virus assembly. The linearly extended P30 appears to nucleate the formation of the icosahedral facets (composed of trimers of the major capsid protein, P3) and acts as a molecular tape-measure, defining the size of the virus and cementing the facets together. Pentamers of P31 form the vertex base, interlocking with subunits of P3 and interacting with the membrane protein P16. The architectural similarities with adenovirus and one of the largest known virus particles PBCV-1 support the notion that the mechanism of assembly of PRD1 is scaleable and applies across the major viral lineage formed by these viruses.

Double-stranded RNA (dsRNA) viruses conceal their genome from the host to avoid triggering unfavorable cellular responses. The crystal structure of the core of one such virus, bluetongue virus, reveals an outer surface festooned with dsRNA. This may represent a deliberate strategy to sequester dsRNA released from damaged particles to prevent host cell shutoff.

International audience; The bluetongue virus core is a molecular machine that simultaneously and repeatedly transcribes mRNA from 10 segments of viral double-stranded RNA, packaged in a liquid crystalline array. To determine how the logistical problems of transcription within a sealed shell are solved, core crystals were soaked with various ligands and analysed by X-ray crystallography. Mg(2+) ions produce a slight expansion of the capsid around the 5-fold axes. Oligonucleotide soaks demonstrate that the 5-fold pore, opened up by this expansion, is the exit site for mRNA, whilst nucleotide soaks pinpoint a separate binding site that appears to be a selective channel for the entry and exit of substrates and by-products. Finally, nucleotides also bind to the outer core layer, providing a substrate sink.The bluetongue virus core is a molecular machine that simultaneously and repeatedly transcribes mRNA from 10 segments of viral double-stranded RNA, packaged in a liquid crystalline array. To determine how the logistical problems of transcription within a sealed shell are solved, core crystals were soaked with various ligands and analysed by X-ray crystallography. Mg(2+) ions produce a slight expansion of the capsid around the 5-fold axes. Oligonucleotide soaks demonstrate that the 5-fold pore, opened up by this expansion, is the exit site for mRNA, whilst nucleotide soaks pinpoint a separate binding site that appears to be a selective channel for the entry and exit of substrates and by-products. Finally, nucleotides also bind to the outer core layer, providing a substrate sink.

The determination of the structure of the transcriptionally active core particle of bluetongue virus is discussed. This particle is approximately 700 A in diameter and reasonably well ordered, but fragile, crystals have been obtained from two different serotypes of the virus. Cryocrystallography proved difficult and a large number of crystals were analysed at room temperature to accumulate a reasonably complete data set. The effects of synchrotron optics, station design and detector on the signal-to-noise for these weak data are discussed, with particular reference to station ID2 at the European Synchrotron Radiation Facility. Once the data had been gathered, structure determination was straightforward, using a model derived from a combination of electron microscopy and protein crystallography to obtain initial phases. Despite apparent isomorphism, it is suspected that the crystal lattice `ages', perhaps reflecting both the inevitable weakness of the forces holding crystals of such a large macromolecular complex together and flexibility in the particle.

As part of a high-throughput structural analysis of SARS-coronavirus (SARS-CoV) proteins, we have solved the structure of the non-structural protein 9 (nsp9). This protein, encoded by ORF1a, has no designated function but is most likely involved with viral RNA synthesis. The protein comprises a single beta-barrel with a fold previously unseen in single domain proteins. The fold superficially resembles an OB-fold with a C-terminal extension and is related to both of the two subdomains of the SARS-CoV 3C-like protease (which belongs to the serine protease superfamily). nsp9 has, presumably, evolved from a protease. The crystal structure suggests that the protein is dimeric. This is confirmed by analytical ultracentrifugation and dynamic light scattering. We show that nsp9 binds RNA and interacts with nsp8, activities that may be essential for its function(s).

International audience; We are using crystallographic methods to investigate the structure of AHSV and BTV. Our initial approach was to investigate the structure of the major protein component of the viral core, VP7(T13). This trimeric protein has been studied in several crystal forms from both orbiviruses and reveals a structure made up of conserved domains, capable of conformational changes and possessing a cleavage site. Further crystallographic analyses of native particles have provided a picture of the VP7(T13) and VP3(T2) layers of the BTV core. The VP7(T13) layer consists of 260 trimers arranged rather symmetrically and possessing very similar structures, thereby following the rules of quasi equivalence. The VP3(T2) layer is thin and contains 120 copies of 100 kDa protein arranged as 60 approximate dimers. This type of icosahedral construction has not been observed before and appears to contain a genome which is highly ordered. We anticipate that all of these features will be common to AHSV.We are using crystallographic methods to investigate the structure of AHSV and BTV. Our initial approach was to investigate the structure of the major protein component of the viral core, VP7(T13). This trimeric protein has been studied in several crystal forms from both orbiviruses and reveals a structure made up of conserved domains, capable of conformational changes and possessing a cleavage site. Further crystallographic analyses of native particles have provided a picture of the VP7(T13) and VP3(T2) layers of the BTV core. The VP7(T13) layer consists of 260 trimers arranged rather symmetrically and possessing very similar structures, thereby following the rules of quasi equivalence. The VP3(T2) layer is thin and contains 120 copies of 100 kDa protein arranged as 60 approximate dimers. This type of icosahedral construction has not been observed before and appears to contain a genome which is highly ordered. We anticipate that all of these features will be common to AHSV.