John K. Everett

Robotic Cloning and Protein Production Platform of the Northeast Structural Genomics Consortium

In this chapter we describe the core Protein Production Platform of the Northeast Structural Genomics Consortium (NESG) and outline the strategies used for producing high-quality protein samples using Escherichia coli host vectors. The platform is centered on 6X-His affinity-tagged protein constructs, allowing for a similar purification procedure for most targets, and the implementation of high-throughput parallel methods. In most cases, these affinity-purified proteins are sufficiently homogeneous that a single subsequent gel filtration chromatography step is adequate to produce protein preparations that are greater than 98% pure. Using this platform, over 1000 different proteins have been cloned, expressed, and purified in tens of milligram quantities over the last 36-month period (see Summary Statistics for All Targets, ). Our experience using a hierarchical multiplex expression and purification strategy, also described in this chapter, has allowed us to achieve success in producing not only protein samples but also many three-dimensional structures. As of December 2004, the NESG Consortium has deposited over 145 new protein structures to the Protein Data Bank (PDB); about two-thirds of these protein samples were produced by the NESG Protein Production Facility described here. The methods described here have proven effective in producing quality samples of both eukaryotic and prokaryotic proteins. These improved robotic and?or parallel cloning, expression, protein production, and biophysical screening technologies will be of broad value to the structural biology, functional proteomics, and structural genomics communities.

Understanding the physical properties that control protein crystallization by analysis of large-scale experimental data.

Crystallization is the most serious bottleneck in high-throughput protein-structure determination by diffraction methods. We have used data mining of the large-scale experimental results of the Northeast Structural Genomics Consortium and experimental folding studies to characterize the biophysical properties that control protein crystallization. This analysis leads to the conclusion that crystallization propensity depends primarily on the prevalence of well-ordered surface epitopes capable of mediating interprotein interactions and is not strongly influenced by overall thermodynamic stability. We identify specific sequence features that correlate with crystallization propensity and that can be used to estimate the crystallization probability of a given construct. Analyses of entire predicted proteomes demonstrate substantial differences in the amino acid–sequence properties of human versus eubacterial proteins, which likely reflect differences in biophysical properties, including crystallization propensity. Our thermodynamic measurements do not generally support previous claims regarding correlations between sequence properties and protein stability.

Codon influence on protein expression in E. coli correlates with mRNA levels

Degeneracy in the genetic code, which enables a single protein to be encoded by a multitude of synonymous gene sequences, has an important role in regulating protein expression, but substantial uncertainty exists concerning the details of this phenomenon. Here we analyse the sequence features influencing protein expression levels in 6,348 experiments using bacteriophage T7 polymerase to synthesize messenger RNA in Escherichia coli. Logistic regression yields a new codon-influence metric that correlates only weakly with genomic codon-usage frequency, but strongly with global physiological protein concentrations and also mRNA concentrations and lifetimes in vivo. Overall, the codon content influences protein expression more strongly than mRNA-folding parameters, although the latter dominate in the initial ~16 codons. Genes redesigned based on our analyses are transcribed with unaltered efficiency but translated with higher efficiency in vitro. The less efficiently translated native sequences show greatly reduced mRNA levels in vivo. Our results suggest that codon content modulates a kinetic competition between protein elongation and mRNA degradation that is a central feature of the physiology and also possibly the regulation of translation in E. coli.

The high-throughput protein sample production platform of the Northeast Structural Genomics Consortium

We describe the core Protein Production Platform of the Northeast Structural Genomics Consortium (NESG) and outline the strategies used for producing high-quality protein samples. The platform is centered on the cloning, expression and purification of 6X-His-tagged proteins using T7-based Escherichia coli systems. The 6X-His tag allows for similar purification procedures for most targets and implementation of high-throughput (HTP) parallel methods. In most cases, the 6X-His-tagged proteins are sufficiently purified (>97% homogeneity) using a HTP two-step purification protocol for most structural studies. Using this platform, the open reading frames of over 16,000 different targeted proteins (or domains) have been cloned as>26,000 constructs. Over the past 10 years, more than 16,000 of these expressed protein, and more than 4400 proteins (or domains) have been purified to homogeneity in tens of milligram quantities (see Summary Statistics, http://nesg.org/statistics.html). Using these samples, the NESG has deposited more than 900 new protein structures to the Protein Data Bank (PDB). The methods described here are effective in producing eukaryotic and prokaryotic protein samples in E. coli. This paper summarizes some of the updates made to the protein production pipeline in the last 5 years, corresponding to phase 2 of the NIGMS Protein Structure Initiative (PSI-2) project. The NESG Protein Production Platform is suitable for implementation in a large individual laboratory or by a small group of collaborating investigators. These advanced automated and/or parallel cloning, expression, purification, and biophysical screening technologies are of broad value to the structural biology, functional proteomics, and structural genomics communities.

Preparation of protein samples for NMR structure, function, and small-molecule screening studies.

In this chapter, we concentrate on the production of high-quality protein samples for nuclear magnetic resonance (NMR) studies. In particular, we provide an in-depth description of recent advances in the production of NMR samples and their synergistic use with recent advancements in NMR hardware. We describe the protein production platform of the Northeast Structural Genomics Consortium and outline our high-throughput strategies for producing high-quality protein samples for NMR studies. Our strategy is based on the cloning, expression, and purification of 6×-His-tagged proteins using T7-based Escherichia coli systems and isotope enrichment in minimal media. We describe 96-well ligation-independent cloning and analytical expression systems, parallel preparative scale fermentation, and high-throughput purification protocols. The 6×-His affinity tag allows for a similar two-step purification procedure implemented in a parallel high-throughput fashion that routinely results in purity levels sufficient for NMR studies (>97% homogeneity). Using this platform, the protein open reading frames of over 17,500 different targeted proteins (or domains) have been cloned as over 28,000 constructs. Nearly 5000 of these proteins have been purified to homogeneity in tens of milligram quantities (see Summary Statistics, http://nesg.org/statistics.html), resulting in more than 950 new protein structures, including more than 400 NMR structures, deposited in the Protein Data Bank. The Northeast Structural Genomics Consortium pipeline has been effective in producing protein samples of both prokaryotic and eukaryotic origin. Although this chapter describes our entire pipeline for producing isotope-enriched protein samples, it focuses on the major updates introduced during the last 5 years (Phase 2 of the National Institute of General Medical Sciences Protein Structure Initiative). Our advanced automated and/or parallel cloning, expression, purification, and biophysical screening technologies are suitable for implementation in a large individual laboratory or by a small group of collaborating investigators for structural biology, functional proteomics, ligand screening, and structural genomics research.

Mitochondrial COQ9 is a lipid-binding protein that associates with COQ7 to enable coenzyme Q biosynthesis

Significance Coenzyme Q (CoQ) is a requisite component of the mitochondrial oxidative phosphorylation machinery that produces more than 90% of cellular ATP. Despite the discovery of CoQ more than 50 years ago, many aspects of its biosynthesis remain obscure. These include the functions of uncharacterized CoQ-related proteins whose disruption can cause human diseases. Our work reveals that one such protein, COQ9, is a lipid-binding protein that enables CoQ biosynthesis through its physical and functional interaction with COQ7, and via its stabilization of the entire CoQ biosynthetic complex. Unexpectedly, COQ9 achieves these functions by repurposing an ancient bacterial fold typically used for transcriptional regulation. Collectively, our work adds new insight into a core component of the CoQ biosynthesis process. Coenzyme Q (CoQ) is an isoprenylated quinone that is essential for cellular respiration and is synthesized in mitochondria by the combined action of at least nine proteins (COQ1–9). Although most COQ proteins are known to catalyze modifications to CoQ precursors, the biochemical role of COQ9 remains unclear. Here, we report that a disease-related COQ9 mutation leads to extensive disruption of the CoQ protein biosynthetic complex in a mouse model, and that COQ9 specifically interacts with COQ7 through a series of conserved residues. Toward understanding how COQ9 can perform these functions, we solved the crystal structure of Homo sapiens COQ9 at 2.4 Å. Unexpectedly, our structure reveals that COQ9 has structural homology to the TFR family of bacterial transcriptional regulators, but that it adopts an atypical TFR dimer orientation and is not predicted to bind DNA. Our structure also reveals a lipid-binding site, and mass spectrometry-based analyses of purified COQ9 demonstrate that it associates with multiple lipid species, including CoQ itself. The conserved COQ9 residues necessary for its interaction with COQ7 comprise a surface patch around the lipid-binding site, suggesting that COQ9 might serve to present its bound lipid to COQ7. Collectively, our data define COQ9 as the first, to our knowledge, mammalian TFR structural homolog and suggest that its lipid-binding capacity and association with COQ7 are key features for enabling CoQ biosynthesis.

Combining NMR and EPR Methods for Homodimer Protein Structure Determination

There is a general need to develop more powerful and more robust methods for structural characterization of homodimers, homo-oligomers, and multiprotein complexes using solution-state NMR methods. In recent years, there has been increasing emphasis on integrating distinct and complementary methodologies for structure determination of multiprotein complexes. One approach not yet widely used is to obtain intermediate and long-range distance constraints from paramagnetic relaxation enhancements (PRE) and electron paramagnetic resonance (EPR)-based techniques such as double electron electron resonance (DEER), which, when used together, can provide supplemental distance constraints spanning to 10-70 A. In this Communication, we describe integration of PRE and DEER data with conventional solution-state nuclear magnetic resonance (NMR) methods for structure determination of Dsy0195, a homodimer (62 amino acids per monomer) from Desulfitobacterium hafniense. Our results indicate that combination of conventional NMR restraints with only one or a few DEER distance constraints and a small number of PRE constraints is sufficient for the automatic NMR-based structure determination program CYANA to build a network of interchain nuclear Overhauser effect constraints that can be used to accurately define both the homodimer interface and the global homodimer structure. The use of DEER distances as a source of supplemental constraints as described here has virtually no upper molecular weight limit, and utilization of the PRE constraints is limited only by the ability to make accurate assignments of the protein amide proton and nitrogen chemical shifts.

The protein target list of the Northeast Structural Genomics Consortium

The U.S. NIH Protein Structure Initiative (PSI) is a joint government, university, and industry effort, organized and supported by the National Institute of General Medical Sciences, and aimed at reducing the costs and increasing the speed of protein structure determination. Its long-range goal is to make the 3D atomic-level structures of most proteins in nature easily obtainable from knowledge of their corresponding DNA sequences (http:// www.nigms.gov/psi). It is the primary U.S. component of a broad international effort in structural genomics, involving at least 20 projects throughout the world. In order to minimize overlap of their efforts, most of these structural genomics pilot projects make their protein target lists and progress reports publicly available. These protein target lists provide dynamic summaries of progress on the production and structure determination of each target protein. These Web-accessible data represent a tremendously valuable new resource to the biological science community, which is only beginning to be widely recognized. As illustrated in the article by Liu et al. in this issue of Proteins, much thought and effort, often involving advanced bioinformatics analysis, has gone into developing these protein target lists. The article by O’Toole et al. in this issue of Proteins describes some of the features of these protein targets lists, the overlap between these worldwide efforts, and a first pass at the data mining that becomes possible by analyzing success and failure at various points along the structure production pipeline across thousands of protein targets. Such retrospective analysis of structural genomics data has the potential to greatly improve methods for protein expression, sample preparation, functional characterization, and structure determination. In addition, the targets lists themselves provide inventories of protein expression vectors, protein samples, and many other biochemical reagents that are generally freely available to the broader biological community. The Northeast Structural Genomics Consortium (NESG) is one of the several pilot projects of the PSI. Its primary goals are to develop and refine new technologies for high-throughput protein production and structure determination by both NMR and X-ray crystallography, and to apply these technologies in determining representative structures of the domain sequence families that constitute eukaryotic proteomes. The project (http://www.nesg.org) is developing technology aimed at optimizing each stage of the structure determination pipeline, including intelligent protein target selection, high-throughput, and costeffective protein sample production, robotics-aided protein crystallization screening, rapid NMR data collection, automated NMR and X-ray diffraction data analysis, and integrated databases for laboratory information management and structure–function annotations. The key shortterm goal of the project is to construct a technology platform capable of experimentally determining 100–200 sequence-unique NMR or X-ray crystal structures of proteins per year. Most structural genomics projects involve collaborative interactions between multiple research groups, coordinated through LIMS. The development and integration of these LIMS are significant challenges that are being addressed both individually and collectively by the structural genomics research community. SPiNE (http:// spine.nesg.org) is a data warehouse and integrated data tracking tool that holds detailed records about the cloning, expression, purification, biophysical characterization, crystallization, and structure determination by NMR and/or X-ray crystallography of each target under study by the NESG Consortium. The NESG also aims at correlating the structural data produced by the project with the extensive biological data emerging from large-scale functional genomics efforts (e.g., see Goh et al. and Carter et al.).

Solution NMR structure of photosystem II reaction center protein Psb28 from Synechocystis sp. Strain PCC 6803

Oxygenic photosynthesis is initiated by photosystem II (PSII) in the thylakoid membranes of plants, algae and cyanobacteria. PSII is a multi-subunit pigment-protein complex responsible for splitting water into oxygen gas, hydrogen ions and electrons transferred to electron acceptors during photosynthesis.1 Two homologous membrane-spanning proteins D1 (PsbA) and D2 (PsbD) form the PSII complex core.1 Peripherally, two chlorophyll (Chl)-binding inner antenna proteins CP47 (PsbB) and CP43 (PsbC) are bound to the D1-D2 PSII complex core.1 These four large proteins are surrounded by a large number of smaller membrane proteins.2 Most of these small proteins have been observed in the crystal structures of the PSII complex from cyanobacteria.3,4 However, one small protein, Psb28, previously detected as a nonstoichiometric component of PSII,5 was not observed in the crystal structures indicating that Psb28 might not be a true PSII subunit. Recent studies revealed that Psb28 was preferentially bound to PSII core complex lacking CP43 (RC47) and involved in the biogenesis of CP47.6 Understanding the association of Psb28 with the PSII core complex should provide additional insight into its role in PSII-mediated function. However, the structure of Psb28 has remained unknown up until now. In this note, we report the solution NMR structure of Psb28 protein encoded by gene sll1398 [gi|952386] of Synechocystis sp. strain PCC 6803 (SWISS-PROT ID: PSB28_SYNY3, NESG target ID: SgR171).7 This protein, also named Psb13 or ycf79, belongs to the Psb28 protein family (Pfam ID: PF03912), which is currently made up of ~48 protein sequences (E score less than 0.001 using PSI-BLAST, Table S1). Both PSI-BLAST sequence similarity and Dali8 structure similarity searches indicate that this is the first atomic resolution structure available for the Psb28 family. ConSurf9 was used to identify conserved surface residues potentially involved in binding to the PSII core complex.10

Target highlights in CASP9: Experimental target structures for the critical assessment of techniques for protein structure prediction.

One goal of the CASP community wide experiment on the critical assessment of techniques for protein structure prediction is to identify the current state of the art in protein structure prediction and modeling. A fundamental principle of CASP is blind prediction on a set of relevant protein targets, that is, the participating computational methods are tested on a common set of experimental target proteins, for which the experimental structures are not known at the time of modeling. Therefore, the CASP experiment would not have been possible without broad support of the experimental protein structural biology community. In this article, several experimental groups discuss the structures of the proteins which they provided as prediction targets for CASP9, highlighting structural and functional peculiarities of these structures: the long tail fiber protein gp37 from bacteriophage T4, the cyclic GMP‐dependent protein kinase Iβ dimerization/docking domain, the ectodomain of the JTB (jumping translocation breakpoint) transmembrane receptor, Autotaxin in complex with an inhibitor, the DNA‐binding J‐binding protein 1 domain essential for biosynthesis and maintenance of DNA base‐J (β‐D‐glucosyl‐hydroxymethyluracil) in Trypanosoma and Leishmania, an so far uncharacterized 73 residue domain from Ruminococcus gnavus with a fold typical for PDZ‐like domains, a domain from the phycobilisome core‐membrane linker phycobiliprotein ApcE from Synechocystis, the heat shock protein 90 activators PFC0360w and PFC0270w from Plasmodium falciparum, and 2‐oxo‐3‐deoxygalactonate kinase from Klebsiella pneumoniae. Proteins 2011;