Structural genomics on membrane proteins: comparison of more than 100 GPCRs in 3 expression systems

Production of recombinant receptors has been one of the major bottlenecks in structural biology on G protein-coupled receptors (GPCRs). The MePNet (Membrane Protein Network) was established to overexpress a large number of GPCRs in three major expression systems, based on Escherichia coli, Pichia pastoris and Semliki Forest virus (SFV) vectors. Evaluation by immunodetection demonstrated that 50% of a total of 103 GPCRs were expressed in bacterial inclusion bodies, 94% in yeast cell membranes and 95% in SFV-infected mammalian cells. The expression levels varied from low to high and the various GPCR families and subtypes were analyzed for their expressability in each expression system. More than 60% of the GPCRs were expressed at milligram levels or higher in one or several systems, compatible to structural biology applications. Functional activity was determined by binding assays in yeast and mammalian cells and the correlation between immunodetection and binding activity was analyzed.     

Structural genomics: computational methods for structure analysis

The success of structural genomics initiatives requires the development and application of tools for structure analysis, prediction, and annotation. In this paper we review recent developments in these areas; specifically structure alignment, the detection of remote homologs and analogs, homology modeling and the use of structures to predict function. We also discuss various rationales for structural genomics initiatives. These include the structure-based clustering of sequence space and genome-wide function assignment. It is also argued that structural genomics can be integrated into more traditional biological research if specific biological questions are included in target selection strategies.     

Structural genomics and drug discovery

Structure determination has already proven useful for lead optimization and direct drug design. The number of high-resolution structures available in public databases today exceeds 30,000 and will definitely aid in structure-based drug design. Structural genomics approaches covering whole genomes, topologically similar proteins or gene families are great assets for further progress in the development of new drugs. However, membrane proteins representing 70% of current drug targets are poorly characterized structurally. The problems have been related to difficulties in obtaining large amount of recombinant membrane proteins as well as their purification and structure determination. Structural genomics has proven successful in developing new methods in areas from expression to structure determination by studying a large number of target proteins in parallel.     

Screening methods to determine biophysical properties of proteins in structural genomics

We have developed and tested a simple and efficient protein purification method for biophysical screening of proteins and protein fragments by nuclear magnetic resonance (NMR) and optical methods, such as circular dichroism spectroscopy. The method constitutes an extension of previously described protocols for gene expression and protein solubility screening [M. Hammarstr?m et al., (2002), Protein Science 11, 313]. Using the present purification scheme it is possible to take several target proteins, produced as fusion proteins, from cell pellet to NMR spectrum and obtain a judgment on the suitability for further structural or biophysical studies in less than 1 day. The method is independent of individual protein properties as long as the target protein can be produced in soluble form with a fusion partner. Identical procedures for cell culturing, lysis, affinity chromatography, protease cleavage, and NMR sample preparation then initially require only optimization for different fusion partner and protease combinations. The purification method can be automated, scaled up or down, and extended to a traditional purification scheme. We have tested the method on several small human proteins produced in Escherichia coli and find that the method allows for detection of structured proteins and unfolded or molten globule-like proteins.     

Structural genomics is the largest contributor of novel structural leverage

The Protein Structural Initiative (PSI) at the US National Institutes of Health (NIH) is funding four large-scale centers for structural genomics (SG). These centers systematically target many large families without structural coverage, as well as very large families with inadequate structural coverage. Here, we report a few simple metrics that demonstrate how successfully these efforts optimize structural coverage: while the PSI-2 (2005-now) contributed more than 8% of all structures deposited into the PDB, it contributed over 20% of all novel structures (i.e. structures for protein sequences with no structural representative in the PDB on the date of deposition). The structural coverage of the protein universe represented by today’s UniProt (v12.8) has increased linearly from 1992 to 2008; structural genomics has contributed significantly to the maintenance of this growth rate. Success in increasing novel leverage (defined in Liu et al. in Nat Biotechnol 25:849–851, 2007) has resulted from systematic targeting of large families. PSI’s per structure contribution to novel leverage was over 4-fold higher than that for non-PSI structural biology efforts during the past 8 years. If the success of the PSI continues, it may just take another ~15 years to cover most sequences in the current UniProt database.     

Semliki Forest virus vectors for overexpression of 101 G protein-coupled receptors in mammalian host cells

Semliki Forest virus vectors were applied for the evaluation of 101 G protein-coupled receptors in three mammalian cell lines. Western blotting demonstrated that 95 of the 101 tested GPCRs showed positive signals. A large number of the GPCRs were expressed at high levels suggesting receptor yields in the range of 1 mg/L or higher, suitable for structural biology applications. Specific binding assays on a selected number of GPCRs were carried out to compare the correlation between total and functional protein expression. Ligands and additives supplemented to the cell culture medium were evaluated for expression enhancement. Selected GPCRs were also expressed from mutant SFV vectors providing enhanced protein expression and reduced host cell toxicity in attempts to further improve receptor yields.     

Relevance of rhodopsin studies for GPCR activation

Rhodopsin, the dim-light photoreceptor present in the rod cells of the retina, is both a retinal-binding protein and a G protein-coupled receptor (GPCR). Due to this conjunction, it benefits from an arsenal of spectroscopy techniques that can be used for its characterization, while being a model system for the important family of Class A (also referred to as “rhodopsin-like”) GPCRs. For instance, rhodopsin has been a crucial player in the field of GPCR structural biology. Until 2007, it was the only GPCR for which a high-resolution crystal structure was available, so all structure–activity analyses on GPCRs, from structure-based drug discovery to studies of structural changes upon activation, were based on rhodopsin. At present, about a third of currently available GPCR structures are still from rhodopsin. In this review, I show some examples of how these structures can still be used to gain insight into general aspects of GPCR activation. First, the analysis of the third intracellular loop in rhodopsin structures allows us to gain an understanding of the structural and dynamic properties of this region, which is absent (due to protein engineering or poor electron density) in most of the currently available GPCR structures. Second, a detailed analysis of the structure of the transmembrane domains in inactive, intermediate and active rhodopsin structures allows us to detect early conformational changes in the process of ligand-induced GPCR activation. Finally, the analysis of a conserved ligand-activated transmission switch in the transmembrane bundle of GPCRs in the context of the rhodopsin activation cycle, allows us to suggest that the structures of many of the currently available agonist-bound GPCRs may correspond to intermediate active states. While the focus in GPCR structural biology is inevitably moving away from rhodopsin, in other aspects rhodopsin is still at the forefront. For instance, the first studies of the structural basis of disease mutants in GPCRs, or the most detailed analysis of cellular GPCR signal transduction networks using a systems biology approach, have been carried out in rhodopsin. Finally, due again to its unique properties among GPCRs, rhodopsin will likely play an important role in the application of X-ray free electron laser crystallography to time-resolved structural biology in membrane proteins. Rhodopsin, thus, still remains relevant as a model system to study the molecular mechanisms of GPCR activation. This article is part of a Special Issue entitled: Retinal Proteins—You can teach an old dog new tricks.     

Protein biophysical properties that correlate with crystallization success in Thermotoga maritima: maximum clustering strategy for structural genomics

Cost and time reduction are two of the driving forces in the development of new strategies for protein crystallization and subsequent structure determination. Here, we report the analysis of the Thermotoga maritima proteome, in which we compare the proteins that were successfully expressed, purified and crystallized versus the rest of the proteome. This set of almost 500 proteins represents one of the largest, internally consistent, protein expression and crystallization datasets available. The analysis shows that individual parameters, such as isoelectric point, sequence length, average hydropathy, low complexity regions (SEG), and combinations of these biophysical properties for crystallized proteins define a distinct subset of the T. maritima proteome. The distribution profiles of the various biophysical properties in the expression/crystallization set are then used to extract rules to improve target selection and improve the efficiency and output of structural genomics, as well as general structural biology efforts.     

Structural determinants involved in the activation and regulation of G protein-coupled receptors: lessons from the alpha1-adrenegic receptor subtypes

The aim of a large number of studies on G protein-coupled receptors was centered on understanding the structural basis of their main functional properties. Here, we will briefly review the results obtained on the alpha1-adrenergic receptor subtypes belonging to the rhodopsin-like family of receptors. These findings contribute, on the one hand, to further understand the molecular basis of adrenergic transmission and, on the other, to provide some generalities on the structure-functional relationship of G protein-coupled receptors.     

Structure-based functional inference in structural genomics

The dramatically increasing number of new protein sequences arising from genomics 4 proteomics requires the need for methods to rapidly and reliably infer the molecular and cellular functions of these proteins. One such approach, structural genomics, aims to delineate the total repertoire of protein folds in nature, thereby providing three-dimensional folding patterns for all proteins and to infer molecular functions of the proteins based on the combined information of structures and sequences. The goal of obtaining protein structures on a genomic scale has motivated the development of high throughput technologies and protocols for macromolecular structure determination that have begun to produce structures at a greater rate than previously possible. These new structures have revealed many unexpected functional inferences and evolutionary relationships that were hidden at the sequence level. Here, we present samples of structures determined at Berkeley Structural Genomics Center and collaborators laboratories to illustrate how structural information provides and complements sequence information to deduce the functional inferences of proteins with unknown molecular functions.Two of the major premises of structural genomics are to discover a complete repertoire of protein folds in nature and to find molecular functions of the proteins whose functions are not predicted from sequence comparison alone. To achieve these objectives on a genomic scale, new methods, protocols, and technologies need to be developed by multi-institutional collaborations worldwide. As part of this effort, the Protein Structure Initiative has been launched in the United States (PSI; www.nigms.nih.gov/funding/psi.html). Although infrastructure building and technology development are still the main focus of structural genomics programs [1–6], a considerable number of protein structures have already been produced, some of them coming directly out of semi-automated structure determination pipelines [6–10]. The Berkeley Structural Genomics Center (BSGC) has focused on the proteins of Mycoplasma or their homologues from other organisms as its structural genomics targets because of the minimal genome size of the Mycoplasmas as well as their relevance to human and animal pathogenicity (http://www.strgen.org). Here we present several protein examples encompassing a spectrum of functional inferences obtainable from their three-dimensional structures in five situations, where the inferences are new and testable, and are not predictable from protein sequence information alone.     

The C-Terminal Domain of the mGluR1 Metabotropic Glutamate Receptor Affects Sensitivity to Agonists

Abstract: The metabotropic glutamate receptor (mGluR) subtype 1 exists as at least three variants (−1a, −1b, and −1c) generated by alternative splicing at the C-terminal domain. Fluorometric Ca²⁺ measurements were used to compare the concentration dependency of agonist-induced rises in intracellular free Ca²⁺ concentration ([Ca²⁺]_i) in human embryonic HEK 293 cells transiently expressing rat mGluR1a, mGluR1b, or mGluR1c. The rank order of agonist potencies was quisqualate ≫ (2 S, 1' S, 2' S )-2-(carboxycyclopropyl)glycine (L-CCG-I) > (1 S, 3 R )-1-aminocyclopentane-1,3-dicarboxylic acid [(1 S, 3 R )-ACPD] and did not differ among the splice variants. However, agonists were consistently more potent at mGluR1a than at mGluR1c and mGluR1b. In the same system, we characterized the agonist pharmacology of two chimeric rat mGluR3/1 receptors where the first and/or the second intracellular loop(s) and the C-terminal domain were exchanged with the corresponding mGluR1a or mGluR1c sequences and that were previously shown to mediate elevations in [Ca²⁺]_i in response to agonists. The potency of agonists was higher at the chimera having the C-terminus of mGluR1a as compared with those having the mGluR1c C-terminus. Both chimeric mGluR3/1 receptors had the same rank order of agonist potencies: L-CCG-I ≫ (1 S, 3 R )-ACPD ∼ quisqualate. These data support the hypothesis that the C-terminal domain of mGluRs plays a role in determining the potency of agonists for inducing mGluR-mediated functional responses.     

Detection of higher-order G protein-coupled receptor oligomers by a combined BRET-BiFC technique

Despite some caveats, G protein-coupled receptor oligomerization is a phenomenon that is becoming largely accepted. Within these oligomers, however, stoichiometry remains to be elucidated. Here, by using bimolecular fluorescence complementation, we visualized adenosine A(2A) receptor homodimers in living cells, showing no apparent difference in the subcellular distribution when compared to the YFP-labelled adenosine A(2A) receptor protomer. Interestingly, the combination of bimolecular fluorescence complementation and bioluminescence resonance energy transfer techniques allowed us to detect the occurrence of adenosine A(2A) receptors oligomers containing more than two protomers. These results provide new insights into the molecular composition of G protein-coupled receptor oligomers. STRUCTURED SUMMARY:     

家鸡G蛋白偶联受体85基因的结构、序列与组织表达分析

G蛋白偶联受体(GPCR)超家族是细胞膜上广泛存在的一类受体,是细胞跨膜信号转导的一类重要受体分子,参与许多生理过程调节。它们中仍有很多至今尚未找到内源性配体,这类受体被称为孤儿型受体。G蛋白偶联受体85(GPR85)是GPCR超家族中孤儿型受体的一员。目前,在非哺乳类脊椎动物中,针对GPR85的研究极少。本研究以家鸡Gallus gallus domesticus为模型,通过反转录PCR和RACE-PCR等方法从脑中克隆到GPR85基因的cDNA全长序列,揭示其基因结构,并用实时荧光定量PCR(qPCR)方法探究了该基因在家鸡各组织中的表达情况。结果显示:家鸡GPR85基因位于1号染色体上,由2个外显子组成,其编码区位于第2个外显子上,长为1 113 bp,可编码1个370个氨基酸的7次跨膜受体蛋白。家鸡GPR85与其他脊椎动物(人Homo sapiens、小鼠Mus musculus、大鼠Rattus norvegicus、热带爪蟾Xenopus tropicalis和斑马鱼Danio rerio)的GPR85具有高度的氨基酸序列一致性(>93%)。qPCR分析发现,GPR85基因mRNA在家鸡全脑、垂体、肾上腺、精巢中有较高表达,而在所检测的其他外周组织中表达极低。本研究首次揭示了家鸡GPR85基因的结构与表达特征,为后续探究GPR85基因在家鸡等非哺乳类中的生理功能奠定基础。     

In vitro expression and analysis of the 826 human G protein-coupled receptors

G protein-coupled receptors (GPCRs) are involved in all humanphysiological systems where they are responsible for transducing extracellular signals into cells. GPCRs signal in response to a diverse array of stimuli including light, hormones, and lipids, where these signals affect downstream cascades to impact both health and disease states. Yet, despite their importance as therapeutic targets, detailed molecular structures of only 30 GPCRs have been determined to date. A key challenge to their structure determination is adequate protein expression. Here we report the quantification of protein expression in an insect cell expression system for all 826humanGPCRs using two different fusion constructs. Expression characteristics are analyzed in aggregate and among each of the five distinct subfamilies. These data can be used to identify trends related to GPCR expression between different fusion constructs and between different GPCR families, and to prioritize lead candidates for future structure determination feasibility.     

The evolution of structural genomics

Structural genomics began as a global effort in the 1990s to determine the tertiary structures of all protein families as a response to large-scale genome sequencing projects. The immediate outcome was an influx of tens of thousands of protein structures, many of which had unknown functions. At the time, the value of structural genomics was controversial. However, the structures themselves were only the most obvious output. In addition, these newly solved structures motivated the emergence of huge data science and infrastructure efforts, which, together with advances in Deep Learning, have brought about a revolution in computational molecular biology. Here, we review some of the computational research carried out at the Protein Data Bank Japan (PDBj) during the Protein 3000 project under the leadership of Haruki Nakamura, much of which continues to flourish today.     

与癌症相关的G 蛋白偶联受体及通路的研究进展

G蛋白偶联受体(G protein-coupled receptors,GPCRs)是一类重要的细胞膜表面跨膜蛋白受体超家族,具有7个跨膜螺旋结构。GPCRs的细胞内信号由G蛋白介导,可将激素、神经递质、药物、趋化因子等多种物理和化学的细胞外刺激穿过细胞膜转导到细胞内不同的效应分子,激活相应的信号级联系统进而影响恶性肿瘤的生长迁移过程。虽然目前药物市场上有很多治疗癌症的小分子药物属于G蛋白受体相关药物,但所作用的靶点集中于少数特定G蛋白偶联受体。因此,新的具有成药性的G蛋白偶联受体的开发具有很大的研究价值和市场潜力。本文主要以在癌症发生、发展中起重要作用的溶血磷脂酸(LPA),G蛋白偶联受体30(GPR30)、内皮素A受体(ETAR)等不同G蛋白偶联受体为分类依据,综述其与相关的信号通路在癌症进程中的作用,并对相应的小分子药物的临床应用和研究进展进行展望。     

植物G蛋白偶联受体及其在信号转导中的作用

G蛋白偶联受体(G protein-coupled receptors,GPCRs)是具有7个跨膜螺旋的蛋白质受体,是人体内最大的蛋白质超家族.GPCRs能调控细胞周期,参与多种植物信号通路以及影响一系列的代谢和分化活动.简要介绍了GPCR和G蛋白介导的信号转导机制,GPCRs的结构和植物GPCR及其在植物跨膜信号转导中的作用,并对GPCR的信号转导机制及植物抗病反应分子机制的研究提出展望.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.     

A robust antibody discovery platform for difficult-to-express G protein-coupled receptors

G protein-coupled receptors (GPCRs) are in the spotlight as drug targets due to the fact that multiple research results have verified the correlation between the activation of GPCRs and disease indications. This is because the GPCRs are present across the cell membranes, which interact with either extracellular ligands or other types of compartments and simultaneously mediate intracellular signaling. Despite the importance of the GPCRs as drug targets, they are too difficult to express in soluble forms. Currently, the difficulty of preparing functional GPCRs and the lack of efficient antibody screening methods are the most challenging steps in the discovery of antibodies targeting GPCRs. In this study, we developed a powerful platform that facilitates isolating GPCR-specific antibodies by obviating difficulties in GPCR preparation. The strategies include (i) conjugation of the P9 peptide, an envelope protein of Pseudomonas phi6, to the N-terminus of GPCRs to improve the expression level of the GPCRs in Escherichia coli, (ii) stabilization of the GPCRs in their active forms with amphiphilic poly-γ-glutamate (APG) to shield the seven hydrophobic transmembrane domains, and (iii) further limiting the size of the APG complex to improve the chance to isolate antibodies targeting the proteins-of-interest. Capitalizing on the above strategies, we could prepare GPCR proteins in their active forms as facile as other general-soluble antigen proteins. Furthermore, this protocol was validated to be successful in discovering three individual GPCR-specific antibodies targeting glucagon-like peptide-1 receptor, C-X-C chemokine receptor type 4, and prostaglandin E2 receptor 4 in this study.