Frontispiece: Analysis of the Dynamics of the Human Growth Hormone Secretagogue Receptor Reveals Insights into the Energy Landscape of the Molecule

G protein-coupled receptors initiate signal transduction in response to ligand binding. Growth hormone secretagogue receptor (GHSR), the focus of this study, binds the 28 residue peptide ghrelin. While structures of GHSR in different states of activation are available, dynamics within each state have not been investigated in depth. We analyze long molecular dynamics simulation trajectories using “detectors” to compare dynamics of the apo and ghrelin-bound states yielding timescale-specific amplitudes of motion. We identify differences in dynamics between apo and ghrelin-bound GHSR in the extracellular loop 2 and transmembrane helices 5–7. NMR of the GHSR histidine residues reveals chemical shift differences in these regions. We evaluate timescale specific correlation of motions between residues of ghrelin and GHSR, where binding yields a high degree of correlation for the first 8 ghrelin residues, but less correlation for the helical end. Finally, we investigate the traverse of GHSR over a rugged energy landscape via principal component analysis.     

Surface-active helices in transmembrane proteins

Amphipathic surface-active helices enable peripheral proteins to perform a variety of important cellular functions such as: lipid association and transport, membrane perturbation and disruption in programmed cell death or antimicrobial activity, and signal transduction. Amphipathic helices that adopt a surface-active membrane location are also found in transmembrane proteins. Since they possess similar amino acid composition and therefore chemical and physical properties, it seems intuitively obvious that the specific role of these surface seeking, or horizontal helices in membrane spanning proteins in some ways parallel those of their cousins in peripheral proteins. This review compares research literature and data from both proteins sets (peripheral proteins and transmembrane) to examine this assumption. Furthermore, since the occurrence of surface-active/seeking helices in transmembrane protein structure is often omitted from comment in the literature, a brief survey of their apparent roles in transmembrane protein/lipid stabilization, microenvironment enclosure and signal transduction is offered here.     

BUNDLE: A program for building the transmembrane domains of G-protein-coupled receptors

The only information available at present about the structural features of G-protein-coupled receptors (GPCRs) comes from low resolution electron density maps of rhodopsin obtained from electron microscopy studies on 2D crystals. Despite their low resolution, maps can be used to extract information about transmembrane helix relative positions and their tilt. This information, together with a reliable algorithm to assess the residues involved in each of the membrane spanning regions, can be used to construct a 3D model of the transmembrane domains of rhodopsin at atomic resolution. In the present work, we describe an automated procedure applicable to generate such a model and, in general, to construct a 3D model of any given GPCR with the only assumption that it adopts the same helix arrangement as in rhodopsin. The present approach avoids uncertainties associated with other procedures available for constructing models of GPCRs based on a template, since sequence identity among GPCRs of different families in most of the cases is not significant. The steps involved in the construction of the model are: (i) locate the centers of the helices according to the low-resolution electron density map; (ii) compute the tilt of each helix based on the elliptical shape observed by each helix in the map; (iii) define a local coordinate system for each of the helices; (iv) bring them together in an antiparallel orientation; (v) rotate each helix through the helical axis in such a way that its hydrophobic moment points in the same direction of the bisector formed between three consecutive helices in the bundle; (vi) rotate each helix through an axis perpendicular to the helical one to assign a proper tilt; and (vii) translate each helix to its center deduced from the projection map.     

Social senses: G-protein-coupled receptor signaling pathways in Dictyostelium discoideum

Activation of the chemoattractant receptor of Dictyostelium elicits many of the same biochemical events seen when mammalian G-protein-coupled receptors are activated. Studies in this organism provide evidence for new signaling pathways that are activated by receptors of this type, and fresh insights into the mechanism of signal transduction by G proteins.     

PACAP and its receptors exert pleiotropic effects in the nervous system by activating multiple signaling pathways

Pituitary adenylate cyclase-activating polypeptide (PACAP) was originally isolated from the ovine brain in 1989 as a novel hypothalamic hormone that potently activates adenylate cyclase to produce cyclic AMP in pituitary cells. This neuropeptide belongs to the secretin/glucagon/vasoactive intestinal peptide (VIP) superfamily, and exists in two amidated forms as PACAP38 (38-amino acid residues) and PACAP27 derived from the same precursor. The primary structure of PACAP has been remarkably conserved throughout evolution among tunicata, ichthyopsida, amphibia and mammalia, and a PACAP-like neuropeptide has also been determined in Drosophila. Both PACAP and its receptors are mainly distributed in the nervous and endocrine systems showing pleiotropic functions with high potency. There are three types of receptors with high PACAP-binding affinity and with different tissue-distribution patterns. All of them belong to G-protein-coupled receptor superfamily with seven transmembrane domains. PAC(1) is the PACAP-specific receptor and exists in at least eight splice variants which couple to different intracellular signal transduction pathways. VPAC(1) and VPAC(2) are the common receptors for both PACAP and VIP, which are coupled to adenylate cyclase. This review article presents and discusses an update on PACAP research and its pleiotropic physiological functions based on multiple receptor-mediated signaling mechanisms in both the central and peripheral nervous system, including the regulation of hypothalamic neurosecretion, homeostatic control of circadian clock and behavioral actions, involvement in learning and memory processes, neuroprotective effects such as anti-apoptosis and response to injury and inflammation, and neural ontogenetic functions on proliferation/differentiation processes from early stages.     

Activation of G-protein-coupled receptors in cell-derived plasma membranes supported on porous beads

G-protein-coupled receptors (GPCRs) are ubiquitous mediators of signal transduction across cell membranes and constitute a very important class of therapeutic targets. In order to study the complex biochemical signaling network coupling to the intracellular side of GPCRs, it is necessary to engineer and control the downstream signaling components, which is difficult to realize in living cells. We have developed a bioanalytical platform enabling the study of GPCRs in their native membrane transferred inside-out from live cells to lectin-coated beads, with both membrane sides of the receptor being accessible for molecular interactions. Using heterologously expressed adenosine A(2A) receptor carrying a yellow fluorescent protein, we showed that the tethered membranes comprised fully functional receptors in terms of ligand and G protein binding. The interactions between the different signaling partners during the formation and subsequent dissociation of the ternary signaling complex on single beads could be observed in real time using multicolor fluorescence microscopy. This approach of tethering inside-out native membranes accessible from both sides is straightforward and readily applied to other transmembrane proteins. It represents a generic platform suitable for ensemble as well as single-molecule measurements to investigate signaling processes at plasma membranes.     

SVMtm: support vector machines to predict transmembrane segments

A new method has been developed for prediction of transmembrane helices using support vector machines. Different coding schemes of protein sequences were explored, and their performances were assessed by crossvalidation tests. The best performance method can predict the transmembrane helices with sensitivity of 93.4% and precision of 92.0%. For each predicted transmembrane segment, a score is given to show the strength of transmembrane signal and the prediction reliability. In particular, this method can distinguish transmembrane proteins from soluble proteins with an accuracy of approximately 99%. This method can be used to complement current transmembrane helix prediction methods and can be used for consensus analysis of entire proteomes. The predictor is located at http://genet.imb.uq.edu.au/predictors/SVMtm.     

Exploring a model of a chemokine receptor/ligand complex in an explicit membrane environment by molecular dynamics simulation: the human CCR1 receptor

The seven transmembrane helices G-protein-coupled receptors (GPCRs) form one of the largest superfamilies of signaling proteins found in humans. Homology modeling, molecular docking, and molecular dynamics (MD) simulation were carried out to construct a reliable model for CCR1 as one of the GPCRs and to explore the structural features and the binding mechanism of BX471 as one of the most potent CCR1 inhibitors. In this study, BX471 has been docked into the active site of the CCR1 protein. After docking, one 20 ns MD simulation was performed on the CCR1-ligand complex to explore effects of the presence of lipid membrane in the vicinity of the CCR1-ligand complex. At the end of the MD simulation, a change in the position and orientation of the ligand in the binding site was observed. This important observation indicated that the application of MD simulation after docking of ligands is useful. Explorative runs of molecular dynamics simulation on the receptor-ligand complex revealed that except for Phe85, Phe112, Tyr113, and Ile259, the rest of the residues in the active site determined by docking are changed. The results obtained are in good agreement with most of the experimental data reported by others. Our results show that molecular modeling and rational drug design for chemokine targets is a possible approach.     

Unravelling the interaction between α-cyclodextrin with the thaumatin protein and a peptide mimic

G-protein-coupled receptors (GPCRs) are responsible for signal transduction; through these transmembrane proteins, our senses are evoked: sight, smell and taste. Thaumatin is a natural sweet-tasting protein that is 100,000 times sweeter than sucrose but its use in food products has been hampered due to a liquorice aftertaste. Thaumatin has been shown to bind to a class C GPCR and the active binding site of the thaumatin protein is known. Here, we report on the binding of a well-known food grade host: α-cyclodextrin to thaumatin. We show through a combination of one- and two-dimensional NMR experiments that α-cyclodextrin binds to aromatic residues on thaumatin with K_a = 8.5 ± 2.4 M ^? 1. We also synthesise a heptapeptide KTGDRGF that mimics the active binding site of thaumatin and show that α-cyclodextrin binds to the C-terminal solvent accessible phenylalanine residue of this peptide with K_a = 8.8 ± 3.1 M ^? 1. This indicates that α-cyclodextrin may interact with the active binding site on thaumatin, suggesting that α-cyclodextrin could be used to modify the interaction of thaumatin with GPCRs and hence its sweet-taste profile.     

Studying the spatial organization of membrane proteins by means of tritium stratigraphy: bacteriorhodopsin in purple membrane

The topography of bacteriorhodopsin (bR) in situ was earlier studied by using the tritium bombardment approach [Eur. J. Biochem. 178 (1988) 123]. Now, having the X-ray crystallography data of bR at atom resolution [Proc. Natl. Acad. Sci. 95 (1998) 11673], we estimated the influence of membrane environment (lipid and protein) on tritium incorporation into amino acid residues forming transmembrane helices. We have determined the tritium flux attenuation coefficients for residues 10-29 of helix A. They turned out to be low (0.04+/-0.02 A(-1)) for residues adjacent to the lipid matrix, and almost fourfold higher (0.15+/-0.05 A(-1)) for those oriented to the neighboring transmembrane helices. We believe that tritium incorporation data could help modeling transmembrane segment arrangement in the membrane.     

Improved helix and kink characterization in membrane proteins allows evaluation of kink sequence predictors

Although the α-helical secondary structure of proteins is well-defined, the exact causes and structures of helical kinks are not. This is especially important for transmembrane (TM) helices of integral membrane proteins, many of which contain kinks providing functional diversity despite predominantly helical structure. We have developed a Monte Carlo method based algorithm, MC-HELAN, to determine helical axes alongside positions and angles of helical kinks. Analysis of all nonredundant high-resolution α-helical membrane protein structures (842 TM helices from 205 polypeptide chains) revealed kinks in 64% of TM helices, demonstrating that a significantly greater proportion of TM helices are kinked than those indicated by previous analyses. The residue proline is over-represented by a factor >5 if it is two or three residues C-terminal to a bend. Prolines also cause kinks with larger kink angles than other residues. However, only 33% of TM kinks are in proximity to a proline. Machine learning techniques were used to test for sequence-based predictors of kinks. Although kinks are somewhat predicted by sequence, kink formation appears to be driven predominantly by other factors. This study provides an improved view of the prevalence and architecture of kinks in helical membrane proteins and highlights the fundamental inaccuracy of the typical topological depiction of helical membrane proteins as series of ideal helices.     

Basic charge clusters and predictions of membrane protein topology

The topology predictor SPLIT 4.0 (http://pref.etfos.hr) predicts the sequence location of transmembrane helices by performing an automatic selection of optimal amino acid attribute and corresponding preference functions. The best topological model is selected by choosing the highest absolute bias parameter that combines the bias in basic charge motifs and the bias in positive residues (the "positive inside rule") with the charge difference across the first transmembrane segment. Basic charge motifs, such as the BBB, BXXBB, and BBXXB motifs in alpha-helical integral membrane proteins, are significantly more frequent near cytoplasmic membrane surface than expected from the Arg/Lys (B) frequency. The predictor's accuracy is 99% for predicting 178 transmembrane helices in all membrane proteins or subunits of known 3D structure.     

模拟跨膜信号的偶氮苯化合物的合成及表征

在一种仿G蛋白耦合型信号转导的人工超分子系统中引入一类偶氮苯结构的化合物,用来模拟跨膜受体。选用偶氮苯类化合物为受体是因为该化合物具有光致异构化的特性,能够引入光信号。实验合成了苯丙氨酸甲酯偶氮苯、缬氨酸甲酯偶氮苯、谷氨酸甲酯偶氮苯,并用红外光谱、紫外可见光谱以及核磁共振方法进行表征,结果显示,所合成的产物是预期产物。     

Common prevalence of alanine and glycine in mobile reactive centre loops of serpins and viral fusion peptides: Do prions possess a fusion peptide?

Summary Serpin reactive centre loops and fusion peptides released by proteolytic cleavage are particularly mobile. Their amino acid compositions reveal a common and unusual abundance of alanine, accompanied by high levels of glycine. These two small residues, which are not simultaneously abundant in stable helices (standard or transmembrane), probably play an important role in mobility. Threonine and valine (also relatively small amino acids) are also abundant in these two kinds of peptides. Moreover, the known 3D structures of an uncleaved serpin reactive centre and a fusion peptide are strikingly similar. Such sequences possess many small residues and are found in several signal peptides and in PrP, a protein associated with spongi-form encephalopathies and resembling virus envelope proteins. These properties may be related to the infection mechanisms of these diseases.     

A general procedure for building the transmembrane domains of G‐protein coupled receptors

The only results available at present about the structural features of G‐protein coupled receptors are the low resolution electron projection maps obtained from microscopy studies carried out on two‐dimensional crystals of rhodopsin. These studies support previous suggestions that these integral proteins are constituted by seven transmembrane domains. The low resolution electron density map of rhodopsin can be used to extract information about helix relative positions and tilt. This information, together with a reliable procedure to assess the residues involved in each of the transmembrane regions, can be used to construct a model of rhodopsin at atomic resolution. We have developed an algorithm that can be used to generate such a model in a completely automated fashion. The steps involved are: (i) locate the centers of the helices according to the low resolution electron density map; (ii) compute the tilt of each helix based on the elliptical shape observed by each helix in the map; (iii) define a local coordinate system for each of the helices; (iv) bring them together in an antiparallel orientation; (v) rotate each helix through the helical axis in such a way that its hydrophobic moment points in the same direction as the bisector formed between three consecutive helices in the bundle; (vi) rotate each helix through an axis perpendicular to the helical one to assign a proper tilt; (vii) translate each of the helix to its center deduced from the projection map. A major advantage of the procedure presented is its generality and consequently can be used to obtain a model of any G‐protein coupled receptor with the only assumption that the shape of the bundle is the same as found in rhodopsin. This avoids uncertainties found in other procedures that construct models of G‐protein coupled receptors based on sequence homology using rhodopsin as template. This revised version was published online in July 2006 with corrections to the Cover Date.     

Conformational Sensing by a Mammalian Olfactory Receptor

To identify odors, the mammalian nose deploys hundreds of olfactory receptors (ORs) from the rhodopsin-like class of the G protein-coupled receptor superfamily. Odorants having multiple rotatable bonds present a problem for the stereochemical shape-based matching process assumed to govern the sense of smell through OR–odorant recognition. We conformationally restricted the carbon chain of the odorant octanal to ask whether an OR can respond differently to different odorant conformations. By using calcium imaging to monitor signal transduction in sensory neurons expressing the mouse aldehyde OR, Olfr2, we found that the spatial position of the C7 and C8 carbon atoms of octanal, in relation to its −CHO group, determines whether an aliphatic aldehyde functions as an agonist, partial agonist or antagonist. Our experiments provide evidence that an odorant can manipulate an OR through its intrinsic conformational repertoire, in unexpected analogy to the photon-controlled aldehyde manipulation observed in rhodopsin.     

DNA-Based Artificial Receptors as Transmembrane Signal Transduction Systems for Protocellular Communication

The ability to reproduce signal transduction and cellular communication in artificial cell systems is significant in synthetic protobiology. Here, we describe an artificial transmembrane signal transduction through low pH-mediated formation of the i-motif and dimerization of DNA-based artificial membrane receptors, which is coupled to the occurrence of fluorescence resonance energy transfer and the activation of G-quadruplex/hemin-mediated fluorescence amplification inside giant unilamellar vesicles. Moreover, an intercellular signal communication model is established when the extravesicular H⁺ input is replaced by coacervate microdroplets, which activate the dimerization of the artificial receptors, and subsequent fluorescence production or polymerization in giant unilamellar vesicles. This study represents a crucial step towards designing artificial signalling systems with environmental response, and provides an opportunity to establish signalling networks in protocell colonies.     

Structural organization of G-protein-coupled receptors

Atomic-resolution structures of the transmembrane 7--helical domains of 26 G-protein-coupled receptors (GPCRs) (including opsins, cationic amine, melatonin, purine, chemokine, opioid, and glycoprotein hormone receptors and two related proteins, retinochrome and Duffy erythrocyte antigen) were calculated by distance geometry using interhelical hydrogen bonds formed by various proteins from the family and collectively applied as distance constraints, as described previously [Pogozheva et al., Biophys. J., 70 (1997) 1963]. The main structural features of the calculated GPCR models are described and illustrated by examples. Some of the features reflect physical interactions that are responsible for the structural stability of the transmembrane -bundle: the formation of extensive networks of interhelical H-bonds and sulfur–aromatic clusters that are spatially organized as 'polarity gradients' the close packing of side-chains throughout the transmembrane domain; and the formation of interhelical disulfide bonds in some receptors and a plausible Zn2+ binding center in retinochrome. Other features of the models are related to biological function and evolution of GPCRs: the formation of a common 'minicore' of 43 evolutionarily conserved residues; a multitude of correlated replacements throughout the transmembrane domain; an Na+-binding site in some receptors, and excellent complementarity of receptor binding pockets to many structurally dissimilar, conformationally constrained ligands, such as retinal, cyclic opioid peptides, and cationic amine ligands. The calculated models are in good agreement with numerous experimental data.     

Role of hydrogen bonding and helix-lipid interactions in transmembrane helix association

To explore the role of hydrogen bonding and helix-lipid interactions in transmembrane helix association, we have calculated the potential of mean force (PMF) as a function of helix-helix distance between two pVNVV peptides, a transmembrane model peptide based on the GCN4 leucine-zipper, in a dimyristoylphosphatidylcholine (DMPC) membrane. The peptide name pVNVV represents the interfacial residues in the heptad repeat of the dimer. The free energy decomposition reveals that the total PMF consists of two competing contributions from helix-helix and helix-lipid interactions. The direct, favorable helix-helix interactions arise from the specific contribution from the helix-facing residues and the generic contribution from the lipid-facing residues. The Asn residues in the middle of the helices show the most significant per-residue contribution to the PMF with various hydrogen bonding patterns as a function of helix-helix distance. Release of lipid molecules between the helices into bulk lipid upon helix association makes the helix-lipid interaction enthalpically unfavorable but entropically favorable. Interestingly, the resulting unfavorable helix-lipid contribution to the PMF correlates well with the cavity volume between the helices. The calculated PMF with an Asn-to-Val mutant (pVNVV --> pVVVV) shows a dramatic free energy change upon the mutation, such that the mutant appears not to form a stable dimer below a certain peptide concentration, which is in good agreement with available experimental data of a peptide with the same heptad repeat. A transmembrane helix association mechanism and its implications in membrane protein folding are also discussed.     

Reconstitution of rhodopsin into polymerizable planar supported lipid bilayers: influence of dienoyl monomer structure on photoactivation

G-protein-coupled receptors (GPCRs) play key roles in cellular signal transduction and many are pharmacologically important targets for drug discovery. GPCRs can be reconstituted in planar supported lipid bilayers (PSLBs) with retention of activity, which has led to development of GPCR-based biosensors and biochips. However, PSLBs composed of natural lipids lack the high stability desired for many technological applications. One strategy is to use synthetic lipid monomers that can be polymerized to form robust bilayers. A key question is how lipid polymerization affects GPCR structure and activity. Here we have investigated the photochemical activity of bovine rhodopsin (Rho), a model GPCR, reconstituted into PSLBs composed of lipids having one or two polymerizable dienoyl moieties located in different regions of the acyl chains. Plasmon waveguide resonance spectroscopy was used to compare the degree of Rho photoactivation in fluid and poly(lipid) PSLBs. The position of the dienoyl moiety was found to have a significant effect: polymerization near the glycerol backbone significantly attenuates Rho activity whereas polymerization near the acyl chain termini does not. Differences in cross-link density near the acyl chain termini also do not affect Rho activity. In unpolymerized PSLBs, an equimolar mixture of phosphatidylethanolamine and phosphatidylcholine (PC) lipids enhances activity relative to pure PC; however after polymerization, the enhancement is eliminated which is attributed to stabilization of the membrane lamellar phase. These results should provide guidance for the design of robust lipid bilayers functionalized with transmembrane proteins for use in membrane-based biochips and biosensors.