Structures of rhodopsin in complex with G-protein-coupled receptor kinase 1.

G-protein-coupled receptor (GPCR) kinases (GRKs) selectively phosphorylate activated GPCRs, thereby priming them for desensitization1. Although it is unclear how GRKs recognize these receptors2-4, a conserved region at the GRK N terminus is essential for this process5-8. Here we report a series of cryo-electron microscopy single-particle reconstructions of light-activated rhodopsin (Rho*) bound to rhodopsin kinase (GRK1), wherein the N terminus of GRK1 forms a helix that docks into the open cytoplasmic cleft of Rho*. The helix also packs against the GRK1 kinase domain and stabilizes it in an active configuration. The complex is further stabilized by electrostatic interactions between basic residues that are conserved in most GPCRs and acidic residues that are conserved in GRKs. We did not observe any density for the regulator of G-protein signalling homology domain of GRK1 or the C terminus of rhodopsin. Crosslinking with mass spectrometry analysis confirmed these results and revealed dynamic behaviour in receptor-bound GRK1 that would allow the phosphorylation of multiple sites in the receptor tail. We have identified GRK1 residues whose mutation augments kinase activity and crosslinking with Rho*, as well as residues that are involved in activation by acidic phospholipids. From these data, we present a general model for how a small family of protein kinases can recognize and be activated by hundreds of different GPCRs.

First Community-Wide, Comparative Cross-Linking Mass Spectrometry Study.

The number of publications in the field of chemical cross-linking combined with mass spectrometry (XL-MS) to derive constraints for protein three-dimensional structure modeling and to probe protein-protein interactions has increased during the last years. As the technique is now becoming routine for in vitro and in vivo applications in proteomics and structural biology there is a pressing need to define protocols as well as data analysis and reporting formats. Such consensus formats should become accepted in the field and be shown to lead to reproducible results. This first, community-based harmonization study on XL-MS is based on the results of 32 groups participating worldwide. The aim of this paper is to summarize the status quo of XL-MS and to compare and evaluate existing cross-linking strategies. Our study therefore builds the framework for establishing best practice guidelines to conduct cross-linking experiments, perform data analysis, and define reporting formats with the ultimate goal of assisting scientists to generate accurate and reproducible XL-MS results.

Broadly neutralizing epitopes in the Plasmodium vivax vaccine candidate Duffy Binding Protein.

Plasmodium vivax Duffy Binding Protein (PvDBP) is the most promising vaccine candidate for P. vivax malaria. The polymorphic nature of PvDBP induces strain-specific immune responses, however, and the epitopes of broadly neutralizing antibodies are unknown. These features hamper the rational design of potent DBP-based vaccines and necessitate the identification of globally conserved epitopes. Using X-ray crystallography, small-angle X-ray scattering, hydrogen-deuterium exchange mass spectrometry, and mutational mapping, we have defined epitopes for three inhibitory mAbs (mAbs 2D10, 2H2, and 2C6) and one noninhibitory mAb (3D10) that engage DBP. These studies expand the currently known inhibitory epitope repertoire by establishing protective motifs in subdomain three outside the receptor-binding and dimerization residues of DBP, and introduce globally conserved protective targets. All of the epitopes are highly conserved among DBP alleles. The identification of broadly conserved epitopes of inhibitory antibodies provides critical motifs that should be retained in the next generation of potent vaccines for P. vivax malaria.

Probing the paramyxovirus fusion (F) protein-refolding event from pre- to postfusion by oxidative footprinting.

To infect a cell, the Paramyxoviridae family of enveloped viruses relies on the coordinated action of a receptor-binding protein (variably HN, H, or G) and a more conserved metastable fusion protein (F) to effect membrane fusion and allow genomic transfer. Upon receptor binding, HN (H or G) triggers F to undergo an extensive refolding event to form a stable postfusion state. Little is known about the intermediate states of the F refolding process. Here, a soluble form of parainfluenza virus 5 F was triggered to refold using temperature and was footprinted along the refolding pathway using fast photochemical oxidation of proteins (FPOP). Localization of the oxidative label to solvent-exposed side chains was determined by high-resolution MS/MS. Globally, metastable prefusion F is oxidized more extensively than postfusion F, indicating that the prefusion state is more exposed to solvent and is more flexible. Among the first peptides to be oxidatively labeled after temperature-induced triggering is the hydrophobic fusion peptide. A comparison of peptide oxidation levels with the values of solvent-accessible surface area calculated from molecular dynamics simulations of available structural data reveals regions of the F protein that lie at the heart of its prefusion metastability. The strong correlation between the regions of F that experience greater-than-expected oxidative labeling and epitopes for neutralizing antibodies suggests that FPOP has a role in guiding the development of targeted therapeutics. Analysis of the residue levels of labeled F intermediates provides detailed insights into the mechanics of this critical refolding event.

Oscillations of chiral preference in proline clusters.

Ion mobility/mass spectrometry techniques are used to study the chiral preferences of small proline clusters (containing 2 to 23 proline monomers) produced by electrospray ionization. By varying the composition of the electrospray solution from enantiomerically pure (100% L or 100% D) to racemic (50:50 L:D), it is possible to delineate which cluster sizes prefer homochiral (resolved) or heterochiral (antiresolved) compositions. The results show a remarkable oscillation in chiral preference. Singly protonated clusters, [xPro+H](+) (where x corresponds to the number of prolines), favor homochiral assemblies (for x = 4, 6, 11 and 12); heterochiral structures are preferred (although the preferences are not as strong) for x = 5 and 7. Larger, doubly protonated clusters [xPro+2H](2+) favor homochiral assemblies for x = 18, 19, and 23 and heterochiral structures for x = 14, 16, 17, 20, 21, and 22. Some of the variations that are observed can be rationalized through simple structures that would lead to especially stable geometries. It is suggested that some antiresolved clusters, such as [22Pro+2H](2+), may be comprised of resolved D- and L-proline domains.

Delineating diseases by IMS-MS profiling of serum N-linked glycans.

Altered branching and aberrant expression of N-linked glycans is known to be associated with disease states such as cancer. However, the complexity of determining such variations hinders the development of specific glycomic approaches for assessing disease states. Here, we examine a combination of ion mobility spectrometry (IMS) and mass spectrometry (MS) measurements, with principal component analysis (PCA) for characterizing serum N-linked glycans from 81 individuals: 28 with cirrhosis of the liver, 25 with liver cancer, and 28 apparently healthy. Supervised PCA of combined ion-mobility profiles for several, to as many as 10 different mass-to-charge ratios for glycan ions, improves the delineation of diseased states. This extends an earlier study [J. Proteome Res.2008, 7, 1109-1117] of isomers associated with a single glycan (S(1)H(5)N(4)) in which PCA analysis of the IMS profiles appeared to differentiate the liver cancer group from the other samples. Although performed on a limited number of test subjects, the combination of IMS-MS for different combinations of ions and multivariate PCA analysis shows promise for characterizing disease states.

Prediction of drift time in ion mobility-mass spectrometry based on Peptide molecular weight.

A computational model is introduced for predicting peptide drift time in ion mobility-mass spectrometry (IMMS). Each peptide was represented using a numeric descriptor: molecular weight. A simple linear regression predictor was constructed for peptides drift time prediction. Three datasets with different charge state assignments were used for the model training and testing. The dataset one contains 212 singly charged peptides, dataset two has 306 doubly charged peptides, and dataset three contains 77 triply charged peptides. Our proposed method achieved a prediction accuracy of 86.3%, 72.6%, and 59.7% for the dataset one, two and three, respectively. Peptide drift time prediction in IMMS will improve the confidence of peptide identifications by limiting the peptide search space during MS/MS database searching and therefore, reducing false discovery rate (FDR) of protein identification.

Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry.

BACKGROUND: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometry (MS). It separates and detects peptide ions on a millisecond time-scale. IMS separates peptide ions based on drift time that is determined by the collision cross-section of each peptide ion in a given experiment condition. A peptide ion's collision cross-section is related to the ion size and shape resulted from the peptide amino acid sequence and their modifications. This inherent relation between the drift time of peptide ion and peptide sequence indicates that the drift time of peptide ions can be used to infer peptide sequence and therefore, for peptide identification. RESULTS: This paper describes an artificial neural networks (ANNs) regression model for the prediction of peptide ion drift time in IMMS. Each peptide in this work was represented using three descriptors (i.e., molecular weight, sequence length and a two-dimensional sequence index). An ANN predictor consisting of four input nodes, three hidden nodes and one output node was constructed for peptide ion drift time prediction. For the model training and testing, a 10-fold cross-validation strategy was employed for three datasets each containing different charge states. Dataset one contains 212 singly-charged peptide ions, dataset two has 306 doubly-charged peptide ions, and dataset three has 77 triply-charged peptide ions. Our proposed method achieved 94.4%, 93.6% and 74.2% prediction accuracy for singly-, doubly- and triply-charged peptide ions, respectively. CONCLUSIONS: An ANN-based method has been developed for predicting the drift time of peptide ions in IMMS. The results achieved here demonstrate the effectiveness and efficiency of the prediction model. This work can enhance the confidence of protein identification by combining with current database search approaches for protein identification.

Resolving and assigning N-linked glycan structural isomers from ovalbumin by IMS-MS.

Ion mobility-mass spectrometry (IMS-MS) and molecular modeling techniques have been used to characterize ovalbumin N-linked glycans. Some glycans from this glycoprotein exist as multiple isomeric forms. The gas-phase separation makes it possible to resolve some isomers before MS analysis. Comparisons of experimental cross sections for selected glycan isomers with values that are calculated for iterative structures generated by molecular modeling techniques allow the assignment of sharp features to specific isomers. We focus here on an example glycan set, each having a m/z value of 1046.52 with formula [H5N4+2Na]2+, where H corresponds to a hexose, and N to a N-acetylglucosamine. This glycan appears to exist as three different isomeric forms that are assignable based on comparisons of measured and calculated cross sections. We estimate the relative ratios of the abundances of the three isomers to be in the range of approximately 1.0:1.35:0.85 to approximately 1.0:1.5:0.80. In total, IMS-MS analysis of ovalbumin N-linked glycans provides evidence for 19 different glycan structures corresponding to high-mannose and hybrid type carbohydrates with a total of 42 distinct features related to isomers and/or conformers.

On the dynamics of fragment isomerization in collision-induced dissociation of peptides.

The structures of peptide collision-induced dissociation (CID) product ions are investigated using ion mobility/mass spectrometry techniques combined with theoretical methods. The cross-section results are consistent with a mixture of linear and cyclic structures for both b4 and a4 fragment ions. Direct evidence for cyclic structures is essential in rationalizing the appearance of fragments with scrambled (i.e., permutated) primary structures, as the cycle may not open up where it was initially formed. It is demonstrated here that cyclic and linear a4 structures can interconvert freely as a result of collisional activation, implying that isomerization takes place prior to dissociation.

Resolving oligomers from fully grown polymers with IMS-MS.

Ion mobility and mass spectrometry techniques, combined with electrospray ionization, have been used to examine distributions of poly(ethylene glycols) (PEG) with average molecular masses of 6550 and 17900 Da. The analysis provides information about the polymer size distributions as well as smaller oligomers existing over a wide range of charge states and sizes (i.e., [HO(CH2CH2O)xH + nCs]n+, where x ranges from 21 to 151 and n = 2 to 11 for the 6550 Da sample; and, x ranges from 21 to 362 and n = 2 to 23 for the 17 900 Da sample). The present data show that oligomer distributions also fall into families, corresponding to much narrower size distributions for individual charge states; this dramatically simplifies data analysis. For example, we show evidence for baseline resolution of the +10 charge state of polymers. Unlike the charge-state trends reported previously for peptide ion families, which show generally increasing mobilities with increasing charge state (for a given m/z value), the mobilities of [HO(CH2CH2O)xH + nCs]n+ families generally decrease with increasing charge state. This requires that the addition of charges leads to substantial changes in the average structures of the ions. Comparisons of cross section calculations from molecular modeling results for multiply cesiated PEG ions with experimental cross sections indicate that these ions adopt highly extended (in many cases nearly linear) conformations, except for the high degree of coordination of the charged sites.

Mapping the human plasma proteome by SCX-LC-IMS-MS.

The advent of on-line multidimensional liquid chromatography-mass spectrometry has significantly impacted proteomic analyses of complex biological fluids such as plasma. However, there is general agreement that additional advances to enhance the peak capacity of such platforms are required to enhance the accuracy and coverage of proteome maps of such fluids. Here, we describe the combination of strong-cation-exchange and reversed-phase liquid chromatographies with ion mobility and mass spectrometry as a means of characterizing the complex mixture of proteins associated with the human plasma proteome. The increase in separation capacity associated with inclusion of the ion mobility separation leads to generation of one of the most extensive proteome maps to date. The map is generated by analyzing plasma samples of five healthy humans; we report a preliminary identification of 9087 proteins from 37,842 unique peptide assignments. An analysis of expected false-positive rates leads to a high-confidence identification of 2928 proteins. The results are catalogued in a fashion that includes positions and intensities of assigned features observed in the datasets as well as pertinent identification information such as protein accession number, mass, and homology score/confidence indicators. Comparisons of the assigned features reported here with other datasets shows substantial agreement with respect to the first several hundred entries; there is far less agreement associated with detection of lower abundance components.

Toward plasma proteome profiling with ion mobility-mass spectrometry.

Differential, functional, and mapping proteomic analyses of complex biological mixtures suffer from a lack of component resolution. Here we describe the application of ion mobility-mass spectrometry (IMS-MS) to this problem. With this approach, components that are separated by liquid chromatography are dispersed based on differences in their mobilities through a buffer gas prior to being analyzed by MS. The inclusion of the gas-phase dispersion provides more than an order of magnitude enhancement in component resolution at no cost to data acquisition time. Additionally, the mobility separation often removes high-abundance species from spectral regions containing low-abundance species, effectively increasing measurement sensitivity and dynamic range. Finally, collision-induced dissociation of all ions can be recorded in a single experimental sequence while conventional MS methods sequentially select precursors. The approach is demonstrated in a single, rapid (3.3 h) analysis of a plasma digest sample where abundant proteins have not been removed. Protein database searches have yielded 731 high confidence peptide assignments corresponding to 438 unique proteins. Results have been compiled into an initial analytical map to be used -after further augmentation and refinement- for comparative plasma profiling studies.

IMS-IMS and IMS-IMS-IMS/MS for separating peptide and protein fragment ions.

Multidimensional ion mobility spectrometry (IMS-IMS and IMS-IMS-IMS) techniques have been combined with mass spectrometry (MS) and investigated as a means of generating and separating peptide and protein fragment ions. When fragments are generated inside a drift tube and then dispersed by IMS prior to MS analysis, it is possible to observe many features that are not apparent from MS analysis alone. The approach is demonstrated by examining fragmentation patterns arising from electrospray ion distributions of insulin chain B and ubiquitin. The multidimensional IMS approach makes it possible to select individual components for collisional activation and to disperse fragments based on differences in mobility prior to MS analysis. Such an approach makes it possible to observe many features not apparent by MS analysis alone.

Developing liquid chromatography ion mobility mass spectometry techniques.

When a packet of ions in a buffer gas is exposed to a weak electric field, the ions will separate according to differences in their mobilities through the gas. This separation forms the basis of the analytical method known as ion mobility spectroscopy and is highly efficient, in that it can be carried out in a very short time frame (micro- to milliseconds). Recently, efforts have been made to couple the approach with liquid-phase separations and mass spectrometry in order to create a high-throughput and high-coverage approach for analyzing complex mixtures. This article reviews recent work to develop this approach for proteomics analyses. The instrumentation is described briefly. Several multidimensional data sets obtained upon analyzing complex mixtures are shown in order to illustrate the approach as well as provide a view of the limitations and required future work.

Development of field modulation in a split-field drift tube for high-throughput multidimensional separations.

A field modulation approach for high-throughput ion mobility/time-of-flight analyses of complex mixtures has been developed using a split-field drift tube. In this approach, complex mixtures of peptides, such as those that arise from tryptic digestion of protein mixtures, are separated by nanocolumn liquid chromatography, ionized by electrospray ionization, and analyzed by ion mobility/time-of-flight techniques. The split-field drift tube allows parent ions to be separated based on differences in their low-field mobilities through the first-field region before entering the second region. For increased throughput, the magnitude of the field in the second region can be modulated throughout an LC separation in order to favor transmission of different types of ions: parent ions at low fields; fragments from primarily [M+3H]3+ peptides at moderate fields; or, fragmentation of [M+3H]3+ and [M+2H]2+ species at higher fields. We demonstrate the approach with two examples: a mixture of tryptic peptides from digestion of hemoglobin; and a complex mixture of tryptic peptides from digestion of human plasma.

Occurrence and transport of Irgarol 1051 and its major metabolite in coastal waters from South Florida.

Irgarol 1051, a boosting antifouling agent often used to supplement copper based paints was found in surface waters from South Florida at stations collected from the Miami River, Biscayne Bay and selected areas of the Florida Keys. Concentrations of the herbicide ranged from below the method detection limit (1 ng/L) to as high as 182 ng/L in a canal system in Key Largo. The herbicide was present at 93% of the stations and often found in conjunction with its descyclopropyl metabolite (M1) previously reported to be the major degradation product of Irgarol under natural environmental conditions. The 90th percentile concentration calculated for all South Florida samples was 57.6 ng/L. Based on available data on the toxicity of Irgarol to algae and coral, only two stations (approximately 3%) ranked above the LC50 of 136 ng/L reported for the marine algae Naviculla pelliculosa and above the 100 ng/L level reported to reversibly inhibit photosynthesis of intact corals. However, a basic dissipation model for Irgarol using the Key Largo Harbor station as a point source indicated that concentrations of the herbicide decreased rapidly and concentrations below the MDL are observed within 2000 m of the source. No major coral based benthic habitats are documented for all the stations surveyed at distances that Irgarol may pose a substantial risk. However, other types of submerged vegetation like seagrasses are common around the marinas and the effects of Irgarol to such endpoints should be investigated further.

Development of high throughput dispersive LC-ion mobility-TOFMS techniques for analysing the human plasma proteome.

A technique that combines ion mobility spectrometry (IMS) with reversed-phase liquid chromatography (LC), collision-induced dissociation (CID) and mass spectrometry (MS) has been developed. The approach is described as a high throughput means of analysing complex mixtures of peptides that arise from enzymatic digestion of protein mixtures. In this approach, peptides are separated by LC and, as they elute from the column, they are introduced into the gas phase and ionised by electrospray ionisation. The beam of ions is accumulated in an ion trap and then the concentrated ion packet is injected into a drift tube where the ions are separated again in the gas phase by IMS, a technique that differentiates ions based on their mobilities through a buffer gas. As ions exit the drift tube, they can be subjected to collisional activation to produce fragments prior to being introduced into a mass spectrometer for detection. The IMS separation can be carried out in only a few milliseconds and offers a number of advantages compared with LC-MS alone. An example of a single 21-minute LC-IMS-(CID)-MS analysis of the human plasma proteome reveals approximately 20,000 parent ions and approximately 600,000 fragment ions and evidence for 227 unique protein assignments.

Nanoflow LC/ion mobility/CID/TOF for proteomics: analysis of a human urinary proteome.

A prototype linear octopole ion trap/ion mobility/tandem mass spectrometer has been coupled with a nanoflow liquid chromatography separation approach and used to separate and characterize a complicated peptide mixture from digestion of soluble proteins extracted from human urine. In this approach, two dimensions of separation (nanoflow liquid chromatography and ion mobility) are followed by collision induced dissociation (CID) and mass spectrometry (MS) analysis. From a preliminary analysis of the most intense CID-MS features in a part of the dataset, it is possible to assign 27 peptide ions which correspond to 13 proteins. The data contain many additional CID-MS features for less intense ions. A limited discussion of these features and their potential utility in identifying complicated peptide mixtures required for proteomics study is presented.

Occurrence of IRGAROL 1051 in coastal waters from Biscayne Bay, Florida, USA.

Surface water samples from marinas, commercial ports and open bay areas collected from Biscayne Bay and the Miami River, Florida, USA, were analyzed for the occurrence of IRGAROL 1051 by GC/MS. The anifouling boosting herbicide was found in 80% (46/57) of the samples collected between March 1999 and September 2000. Concentrations within the bay range between non-detected (<1 ppt) and 61 ppt (ng/L) and were generally low compared with levels reported in European or Japanese waters. Aside from the elevated concentrations observed along the Miami River South Fork (61 ppt), the highest concentrations observed in the bay corresponded to marinas with high density of pleasure craft and restricted water circulation. In contrast, occurrence of IRGAROL 1051 along the commercial port or the cruise line terminal was generally lower (<1-2.2 ppt). Concentrations around Coconut Grove Marina were consistently higher (5-12 ppt) than the rest of the bay waters during the whole period of time surveyed.