Structural genomics of proteins from conserved biochemical pathways and processes

During the past year, X-ray crystallographers and solution NMR spectroscopists have made significant progress towards the complete structural characterization of conserved biochemical pathways and processes. Some of these advances were made in the context of nascent structural genomics programs, which promise to accelerate structural studies of biologically and medically important proteins. The results of high-throughput protein production, crystallization, structure determination, homology modeling and functional annotation published by two such programs have provided insight into the evolution and function of enzymes in the isoprenoid biosynthesis and ribulose monophosphate pathways.     

Laboratory scale structural genomics

At Lawrence Livermore National Laboratory, the development of the TB structural genomics consortium crystallization facility has paralleled several local proteomics research efforts that have grown out of gene expression microarray and comparative genomics studies. Collective experience gathered from TB consortium labs and other centers involved in the NIH-NIGMS protein structure initiative allows us to explore the possibilities and challenges of pursuing structural genomics on an academic laboratory scale. We discuss our procedures and protocols for genomic targeting approaches, primer design, cloning, small scale expression screening, scale-up and purification, through to automated crystallization screening and data collection. The procedures are carried out by a small group using a combination of traditional approaches, innovative molecular biochemistry approaches, software automation, and a modest investment in robotic equipment.     

Protein isoelectric point as a predictor for increased crystallization screening efficiency

MOTIVATION: Increased efficiency in initial crystallization screening reduces cost and material requirements in structural genomics. Because pH is one of the few consistently reported parameters in the Protein Data Bank (PDB), the isoelectric point (pI) of a protein has been explored as a useful indirect predictor for the optimal choice of range and distribution of the pH sampling in crystallization trials. RESULTS: We have analyzed 9596 unique protein crystal forms from the August 2003 PDB and have found a significant relationship between the calculated pI of successfully crystallized proteins and the difference between pI and reported pH at which they were crystallized. These preferences provide strong prior information for the design of crystallization screening experiments with significantly increased efficiency and corresponding reduction in material requirements, leading to potential cost savings of millions of US$ for structural genomics projects involving high-throughput crystallographic structure determination. AVAILABILITY: A prototype example of a screen design and efficiency estimator program, CrysPred, is available at http://www-structure.llnl.gov/cryspred/     

Structural proteomics: a tool for genome annotation

In any newly sequenced genome, 30% to 50% of genes encode proteins with unknown molecular or cellular function. Fortunately, structural genomics is emerging as a powerful approach of functional annotation. Because of recent developments in high-throughput technologies, ongoing structural genomics projects are generating new structures at an unprecedented rate. In the past year, structural studies have identified many new structural motifs involved in enzymatic catalysis or in binding ligands or other macromolecules (DNA, RNA, protein). The efficiency by which function is deduced from structure can be further improved by the integration of structure with bioinformatics and other experimental approaches, such as screening for enzymatic activity or ligand binding.     

Crystallization data mining in structural genomics: using positive and negative results to optimize protein crystallization screens

Recent efforts to collect and mine crystallization data from structural genomics (SG) consortia have led to the identification of minimal screens and novel screening strategies that can be used to streamline the crystallization process. Two groups, the Joint Center for Structural Genomics and the University of Toronto, carried out large-scale crystallization trials on different sets of bacterial targets (539, JCSG and 755, Toronto), using different sample processing and crystallization methods, and then analyzed their results to identify the smallest subset of conditions that would have crystallized the maximum number of protein targets. The JCSG Core Screen contains 67 conditions (from 480) while the Toronto Minimal Screen contains 6 (from 48). While the exact conditions included in the two screens do not overlap, the major precipitants of the conditions are similar and thus both screens can be used to determine if a protein has a natural propensity to crystallize. In addition, studies from other groups including the University of Queensland, the Mycobacterium tuberculosis SG group, the Southeast Collaboratory for SG, and the York Structural Biology Laboratory indicate that alternative crystallization strategies may be more successful at identifying initial crystallization conditions than typical sparse matrix screens. These minimal screens and alternative screening strategies are already being used to optimize the crystallization processes within large SG efforts. The differences between these results, however, demonstrate that additional studies which examine the influence of protein biophysical properties and sample preparation methods on crystal formation must also be carried out before more robust screens can be identified.     

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.     

Structural genomics—Impact on biomedicine and drug discovery

The field of structural genomics emerged as one of many 'omics disciplines more than a decade ago, and a multitude of large scale initiatives have been launched across the world. Development and implementation of methods for high-throughput structural biology represents a common denominator among different structural genomics programs. From another perspective a distinction between “biology-driven” versus “structure-driven” approaches can be made. This review outlines the general themes of structural genomics, its achievements and its impact on biomedicine and drug discovery. The growing number of high resolution structures of known and potential drug target proteins is expected to have tremendous value for future drug discovery programs. Moreover, the availability of large numbers of purified proteins enables generation of tool reagents, such as chemical probes and antibodies, to further explore protein function in the cell.     

Sorting and transport in C. elegans: aA model system with a sequenced genome

In the past few years, yeast and cultured cells have been the model systems of choice for the study of protein sorting and transport. Recently, there has been a surge in research in these areas in Caenorhabditis elegans, with advances in experimental techniques and genomics. New in vivo assays that monitor endocytosis and neuronal transport have been used to delineate roles for several genes in these processes.     

Solution NMR in structural genomics

Structural genomics (also known as structural proteomics) aims to generate accurate three-dimensional models for all folded, globular proteins and domains in the protein universe to understand the relationship between protein sequence, structure and function. NMR spectroscopy of small (<20 kDa) proteins has been used successfully within several large-scale structural genomics projects for more than six years now. Recent advances coming from traditional NMR structural biology laboratories as well as large scale centers and consortia using NMR for structural genomics promise to facilitate NMR analysis making it even a more efficient and increasingly automated procedure.     

The scientific impact of the Structural Genomics Consortium: a protein family and ligand-centered approach to medically-relevant human proteins

As many of the structural genomics centers have ended their first phase of operation, it is a good point to evaluate the scientific impact of this endeavour. The Structural Genomics Consortium (SGC), operating from three centers across the Atlantic, investigates human proteins involved in disease processes and proteins from Plasmodium falciparum and related organisms. We present here some of the scientific output of the Oxford node of the SGC, where the target areas include protein kinases, phosphatases, oxidoreductases and other metabolic enzymes, as well as signal transduction proteins. The SGC has aimed to achieve extensive coverage of human gene families with a focus on protein–ligand interactions. The methods employed for effective protein expression, crystallization and structure determination by X-ray crystallography are summarized. In addition to the cumulative impact of accelerated delivery of protein structures, we demonstrate how family coverage, generic screening methodology, and the availability of abundant purified protein samples, allow a level of discovery that is difficult to achieve otherwise. The contribution of NMR to structure determination and protein characterization is discussed. To make this information available to a wide scientific audience, a new tool for disseminating annotated structural information was created that also represents an interactive platform allowing for a continuous update of the annotation by the scientific community.     

Macromolecular crystallization with microfluidic free-interface diffusion

Fluidigm Corp. released the Topaz 1.96 and 4.96 crystallization chips in the fall of 2004. Topaz 1.96 and 4.96 are the latest evolution of Fluidigm's microfluidics crystallization technologies that enable ultra-low-volume rapid screening for macromolecular crystallization. Topaz 1.96 and 4.96 are similar to each other but represent a major redesign of the Topaz system and have substantially improved ease of automation and ease of use, improved efficiency and even further reduced the amount of material needed. With the release of the new Topaz system, Fluidigm continues to set the standard in low-volume crystallization screening, which is having an increasing impact in the field of structural genomics and more generally in structural biology. It is likely that further optimization and increased utility of the Topaz crystallization system will emerge. It is also probable that further innovation and the emergence of competing technologies will be seen.     

Screening for soluble expression of recombinant proteins in a 96-well format

For future structural and functional genomics programs new tools will be required. The implementation of high-throughput (HTP) methods for protein production will be an essential element. Present HTP protein production developments in structural genomics are aimed at obtaining well-expressing and highly soluble proteins, which are preferred candidates for structure-function studies. Here, we describe a cheap and efficient procedure to identify well-expressing soluble proteins in Escherichia coli in a compact 96-well format. Reproducible lysis on filter plates, followed by a filtration step on 96-well filter plates, allows the efficient separation of inclusion bodies from the soluble fraction. In the following step a dot blot procedure using anti-RGS-His(4) antibody (Qiagen) to detect expression of recombinant His-tagged protein is applied allowing direct detection of the target protein in the soluble fraction. The method is well suited for automation and should be applicable to expression screening of most proteins and fusion domains to which specific antibodies are available.     

Structural Genomics of Eukaryotic Targets at a Laboratory Scale

Structural genomics programs are distributed worldwide and funded by large institutions such as the NIH in United-States, the RIKEN in Japan or the European Commission through the SPINE network in Europe. Such initiatives, essentially managed by large consortia, led to technology and method developments at the different steps required to produce biological samples compatible with structural studies. Besides specific applications, method developments resulted mainly upon miniaturization and parallelization. The challenge that academic laboratories faces to pursue structural genomics programs is to produce, at a higher rate, protein samples. The Structural Biology and Genomics Department (IGBMC – Illkirch – France) is implicated in a structural genomics program of high eukaryotes whose goal is solving crystal structures of proteins and their complexes (including large complexes) related to human health and biotechnology. To achieve such a challenging goal, the Department has established a medium-throughput pipeline for producing protein samples suitable for structural biology studies. Here, we describe the setting up of our initiative from cloning to crystallization and we demonstrate that structural genomics may be manageable by academic laboratories by strategic investments in robotic and by adapting classical bench protocols and new developments, in particular in the field of protein expression, to parallelization.     

Inkjet dispensing technology: applications in drug discovery

The past year has seen significant advances in the reduction to practice of inkjet dispensing technology in drug discovery applications. Although much of the work in this area has been done by relatively few ‘early innovators’, broader acceptance of the feasibility of the use of inkjet dispensing is on the rise. Of the three main areas of drug discovery — genomics, high-throughput screening, and combinatorial chemistry — high-throughput screening has had the most applications to date. The burgeoning field of genomics has seen rapid incorporation of technologies that enable miniaturization of gene expression experiments. Inkjet dispensing has a clear role in this effort. Finally, as the miniaturization needs of combinatorial chemistry become more clear, inkjet dispensing technology will potentially play a role.     

Doing more than just the structure-structural genomics in kinase drug discovery

Structural genomics (SG) has significantly increased the number of novel protein structures of targets with medical relevance. In the protein kinase area, SG has contributed >50% of all novel kinases structures during the past three years and determined more than 30 novel catalytic domain structures. Many of the released structures are inhibitor complexes and a number of them have identified new inhibitor binding modes and scaffolds. In addition, generated reagents, assays, and inhibitor screening data provide a diversity of chemogenomic data that can be utilized for early drug development. Here we discuss the currently available structural data for the kinase family considering novel structures as well as inhibitor complexes. Our analysis revealed that the structural coverage of many kinases families is still rather poor, and inhibitor complexes with diverse inhibitors are only available for a few kinases. However, we anticipate that with the current rate of structure determination and high throughput technologies developed by SG programs these gaps will be closed soon. In addition, the generated reagents will put SG initiatives in a unique position providing data beyond protein structure determination by identifying chemical probes, determining their binding modes and target specificity.     

Femtosecond crystallography of membrane proteins in the lipidic cubic phase

Despite recent technological advances in heterologous expression, stabilization and crystallization of membrane proteins (MPs), their structural studies remain difficult and require new transformative approaches. During the past two years, crystallization in lipidic cubic phase (LCP) has started gaining a widespread acceptance, owing to the spectacular success in high-resolution structure determination of G protein-coupled receptors (GPCRs) and to the introduction of commercial instrumentation, tools and protocols. The recent appearance of X-ray free-electron lasers (XFELs) has enabled structure determination from substantially smaller crystals than previously possible with minimal effects of radiation damage, offering new exciting opportunities in structural biology. The unique properties of LCP material have been exploited to develop special protocols and devices that have established a new method of serial femtosecond crystallography of MPs in LCP (LCP-SFX). In this method, microcrystals are generated in LCP and streamed continuously inside the same media across the intersection with a pulsed XFEL beam at a flow rate that can be adjusted to minimize sample consumption. Pioneering studies that yielded the first room temperature GPCR structures, using a few hundred micrograms of purified protein, validate the LCP-SFX approach and make it attractive for structure determination of difficult-to-crystallize MPs and their complexes with interacting partners. Together with the potential of femtosecond data acquisition to interrogate unstable intermediate functional states of MPs, LCP-SFX holds promise to advance our understanding of this biomedically important class of proteins.     

Semliki Forest virus vectors for rapid and high-level expression of integral membrane proteins

Semliki Forest virus (SFV) vectors have been applied for the expression of recombinant integral membrane proteins in a wide range of mammalian host cells. More than 50 G protein-coupled receptors (GPCRs), several ion channels and other types of transmembrane or membrane-associated proteins have been expressed at high levels. The establishment of large-scale SFV technology has facilitated the production of large quantities of recombinant receptors, which have then been subjected to drug screening programs and structure-function studies on purified receptors. The recent Membrane Protein Network (MePNet) structural genomics initiative, where 100 GPCRs are overexpressed from SFV vectors, will further provide new methods and technologies for expression, solubilization, purification and crystallization of GPCRs.     

Synchrotron crystallography

The past decade has seen an explosive growth in atomic-level structures determined by X-ray crystallography. Synchrotron radiation and a number of technical advances related quite directly to its development have fueled this growth. With the most recent advances coming to be used collectively and new resources being built, the foundation is laid for a dramatic further expansion of synchrotron crystallography in the next decade. Both the high-throughput applications of structural genomics and also the challenging studies of macromolecular machinery are expected to flourish.     

Maximum-likelihood crystallization

The crystallization facility of the TB Structural Genomics Consortium, one of nine NIH-sponsored structural genomics pilot projects, employs a combinatorial random sampling technique in high-throughput crystallization screening. Although data are still sparse and a comprehensive analysis cannot be performed at this stage, preliminary results appear to validate the random-screening concept. A discussion of statistical crystallization data analysis aims to draw attention to the need for comprehensive and valid sampling protocols. In view of limited overlap in techniques and sampling parameters between the publicly funded high-throughput crystallography initiatives, exchange of information should be encouraged, aiming to effectively integrate data mining efforts into a comprehensive predictive framework for protein crystallization.