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Signature-Ion-Triggered Mass Spectrometry Approach Enabled Discovery of N- And O-Linked Glycosylated Neuropeptides in the Crustacean Nervous System
Abstract
Crustaceans are commonly used model organisms to study neuromodulation. Despite numerous reported crustacean neuropeptide families and their functions, there has been no report on neuropeptide glycosylation. This is in part due to a lack of sensitive method that enables deciphering this intricate low-abundance post-translational modification (PTM), even though glycosylation has been shown to play an important role in neuromodulation. Here, we describe the discovery of glycosylated neuropeptides with an enrichment-free approach taking advantage of signature oxonium ions produced in higher-energy collision dissociation (HCD) MS/MS spectra. The detection of the oxonium ions in the HCD scans suggests glycan attachment to peptides, allowing electron-transfer/higher-energy collision dissociation (EThcD) to be performed to selectively elucidate structural information of glycosylated neuropeptides that are buried in non-glycosylated peptides. Overall, 4 N-linked and 14 O-linked glycosylated neuropeptides have been identified for the first time in the crustacean nervous system. In addition, 91 novel putative neuropeptides have been discovered based on the collected HCD scans. This hybrid approach, coupling shotgun method for neuropeptide discovery and targeted strategy for glycosylation characterization enables the first report on glycosylated neuropeptides in crustacean and the discovery of additional neuropeptides simultaneously. The elucidation of novel glycosylated neuropeptides sheds light on the crustacean peptidome and offers novel insights into future neuropeptide functional studies.
... Da). The latter two accounts for the most commonly occurring structures of O-linked glycans [66][67][68]. Three dynamic modifications per peptide and a false discovery rate of 1% for peptide identifications were allowed. ...
Chronic kidney disease (CKD) is prevalent in 10% of world’s adult population. The role of protein glycosylation in causal mechanisms of CKD progression is largely unknown. The aim of this study was to identify urinary O-linked glycopeptides in association to CKD for better characterization of CKD molecular manifestations. Urine samples from eight CKD and two healthy subjects were analyzed by CE-MS/MS and glycopeptides were identified by a specific software followed by manual inspection of the spectra. Distribution of the identified glycopeptides and their correlation with Age, eGFR and Albuminuria were evaluated in 3810 existing datasets. In total, 17 O-linked glycopeptides from 7 different proteins were identified, derived primarily from Insulin-like growth factor-II (IGF2). Glycosylation occurred at the surface exposed IGF2 Threonine 96 position. Three glycopeptides (DVStPPTVLPDNFPRYPVGKF, DVStPPTVLPDNFPRYPVG and DVStPPTVLPDNFPRYP) exhibited positive correlation with Age. The IGF2 glycopeptide (tPPTVLPDNFPRYP) showed a strong negative association with eGFR. These results suggest that with aging and deteriorating kidney function, alterations in IGF2 proteoforms take place, which may reflect changes in mature IGF2 protein. Further experiments corroborated this hypothesis as IGF2 increased plasma levels were observed in CKD patients. Protease predictions, considering also available transcriptomics data, suggest activation of cathepsin S with CKD, meriting further investigation.
... Some fragmentation strategies apply supplemental energy during or subsequent to ETD to overcome poor fragmentation from non-dissociative ETD events (Swaney et al., 2007;Ledvina et al., 2009;Frese et al., 2012). Activation of fragment ions post ETD fragmentation with high-energy collisional dissociation (EThcD) shows promise for O-linked glycopeptides (Yu et al., 2017b;Cao et al., 2020;White et al., 2020). HCD-product-triggered-ETD (HCD-pdt-ETD) fragments precursor ions with HCD, where upon detection of designated peak(s) in the MS2 scan, the mass spectrometer recollects another packet of ions of the same precursor for ETD or ETD with supplemental energy (Zhao et al., 2011). ...
O-GlcNAc is a pleotropic, enigmatic post-translational modification (PTM). This PTM modifies thousands of proteins differentially across tissue types and regulates diverse cellular signaling processes. O-GlcNAc is implicated in numerous diseases, and the advent of O-GlcNAc perturbation as a novel class of therapeutic underscores the importance of identifying and quantifying the O-GlcNAc modified proteome. Here, we review recent advances in mass spectrometry-based proteomics that will be critical in elucidating the role of this unique glycosylation system in health and disease.
... This targeted method enables higher quality fragmentation spectra to be obtained, along with reducing instrument time required for glycopeptide analysis. Cao et al. (2020) also employed oxonium iontriggered EThcD to characterize both N-and O-linked glycosylated neuropeptides in crustaceans (Figure 2). In a pursuit to improve the characterization of glycopeptides, Riley et al. systematically compared several fragmentation methods and dissociation energies. ...
Due to their involvement in numerous biochemical pathways, neuropeptides have been the focus of many recent research studies. Unfortunately, classic analytical methods, such as western blots and enzyme‐linked immunosorbent assays, are extremely limited in terms of global investigations, leading researchers to search for more advanced techniques capable of probing the entire neuropeptidome of an organism. With recent technological advances, mass spectrometry (MS) has provided methodology to gain global knowledge of a neuropeptidome on a spatial, temporal, and quantitative level. This review will cover key considerations for the analysis of neuropeptides by MS, including sample preparation strategies, instrumental advances for identification, structural characterization, and imaging; insightful functional studies; and newly developed absolute and relative quantitation strategies. While many discoveries have been made with MS, the methodology is still in its infancy. Many of the current challenges and areas that need development will also be highlighted in this review.
... Thus, glycopeptide enrichment is a key step in the success of glycopeptide analysis in complex biological samples. Many enrichment strategies have been developed in recent years, including hydrophilic interaction chromatography (HILIC), titanium dioxide (TiO 2 ) affinity, lectin affinity enrichment, hydrazide and boronic acid chemistry (11,(37)(38)(39)(40)(41)(42)(43). To further reduce J o u r n a l P r e -p r o o f sample complexity and improve glycoproteome coverage, off-line fractionation such as high-pH fractionation (HpH) is often utilized due to its ease of implementation and its compatibility with large amounts of starting material, which has also been shown highly orthogonal to the subsequent LC-MS/MS analysis with low-pH reversed-phase chromatography (44). ...
As the body fluid that directly interchanges with the extracellular fluid of central nervous system (CNS), cerebrospinal fluid (CSF) serves as a rich source for CNS-related disease biomarker discovery. Extensive proteome profiling has been conducted for CSF, but studies aimed at unraveling site-specific CSF N-glycoproteome are lacking. Initial efforts into site-specific N-glycoproteomics study in CSF yield limited coverage, hindering further experimental design of glycosylation-based disease biomarker discovery in CSF. In the present study, we have developed an N-glycoproteomic approach that combines enhanced N-glycopeptide sequential enrichment by hydrophilic interaction chromatography (HILIC) and boronic acid enrichment with electron transfer and higher-energy collision dissociation (EThcD) for large-scale intact N-glycopeptide analysis. The application of the developed approach to human CSF sample enabled identifications of a total of 2893 intact N-glycopeptides from 511 N-glycosites and 285 N-glycoproteins. To our knowledge, this is the largest site-specific N-glycoproteome dataset reported for CSF to date. Such dataset provides molecular basis for a better understanding of the structure-function relationships of glycoproteins and their roles in CNS-related physiological and pathological processes. As accumulating evidence suggests defects in glycosylation are involved in Alzheimer's disease (AD) pathogenesis, in the present study, a comparative in-depth N-glycoproteomic analysis was conducted for CSF samples from healthy control and AD patients, which yielded a comparable N-glycoproteome coverage but a distinct expression pattern for different categories of glycoforms, such as decreased fucosylation in AD CSF samples. Altered glycosylation patterns were detected for a number of N-glycoproteins including alpha-1-antichymotrypsin, ephrin-A3 and carnosinase CN1 etc., which serve as potentially interesting targets for further glycosylation-based AD study and may eventually lead to molecular elucidation of the role of glycosylation in AD progression.
... In addition, strategies that use the abundant oxonium ions from HCD to trigger a secondary fragmentation, such as HCD product triggered ETD (Q. Cao et al., 2020;Singh et al., 2012) or HCD product triggered CID (Shajahan et al., 2020), show great potential in optimizing instrument cycle time for complex glycoproteomics experiments. ...
Advances in mass spectrometry instrumentation, methods development, and bioinformatics have greatly improved the ease and accuracy of site-specific, quantitative glycoproteomics analysis. Data-dependent acquisition is the most popular method for identification and quantification of glycopeptides; however, complete coverage of glycosylation site glycoforms remains elusive with this method. Targeted acquisition methods improve the precision and accuracy of quantification, but at the cost of throughput and discoverability. Data-independent acquisition (DIA) holds great promise for more complete and highly quantitative site-specific glycoproteomics analysis, while maintaining the ability to discover novel glycopeptides without prior knowledge. We review additional features that can be used to increase selectivity and coverage to the DIA workflow: retention time modeling, which would simplify the interpretation of complex tandem mass spectra, and ion mobility separation, which would maximize the sampling of all precursors at a giving chromatographic retention time. The instrumentation and bioinformatics to incorporate these features into glycoproteomics analysis exist. These improvements in quantitative, site-specific analysis will enable researchers to assess glycosylation similarity in related biological systems, answering new questions about the interplay between glycosylation state and biological function.
... Hybrid-type fragmentation methods that combine multiple dissociation methods include EThcD-MS/MS [210][211][212][213] widely used in glycoproteomics (see Table 1 for examples) and the less common AI-ETD-MS/MS method restricted to few specialist labs [41,60]. Fragmentation methods that employ multiple energy schemes to target more complete analyte dissociation most prominently the SCE-HCD-MS/MS method are also frequently used in large-scale glycopeptide profiling studies [37,51,56,214,215]. ...
Facilitated by advances in the separation sciences, mass spectrometry and informatics, glycoproteomics, the analysis of intact glycopeptides at scale, has recently matured enabling new insights into the complex glycoproteome. While diverse quantitative glyco-proteomics strategies capable of mapping monosaccharide compositions of N-and O-linked glycans to discrete sites of proteins within complex biological mixtures with considerable sensitivity, quantitative accuracy and coverage have become available, developments supporting the advancement of structure-focused glycoproteomics, a recognised frontier in the field, have emerged. Technologies capable of providing site-specific information of the glycan fine structures in a glycoproteome-wide context are indeed necessary to address many pending questions in glycobiology. In this review, we firstly survey the latest glycoproteomics studies published in 2018-2020, their approaches and their findings, and then summarise important technological innovations in structure-focused glycoproteomics. Our review illustrates that while the O-glycoproteome remains comparably under-explored despite the emergence of new O-glycan-selective mucinases and other innovative tools aiding O-glycoproteome profiling, quantitative glycoproteomics is increasingly used to profile the N-glycoproteome to tackle diverse biological questions. Excitingly, new strategies compatible with structure-focused glycoproteomics including novel chemoenzymatic labelling, enrichment, separation, and mass spectrometry-based detection methods are rapidly emerging revealing glycan fine structural details including bisecting GlcNAcylation, core and antenna fucosylation, and sialyl-linkage information with protein site resolution. Glycoproteomics has clearly become a mainstay within the glycosciences that continues to reach a broader community. It transpires that structure-focused glycoproteomics holds a considerable potential to aid our understanding of systems glycobiology and unlock secrets of the glycoproteome in the immediate future.
... Studies describing proteases that specifically target O-glycoproteins are beginning to emerge (302, 303, [468][469][470], which have the potential to make O-glycoproteomics more tractable despite a current lag behind N- Additionally, ETD and ECD methods often benefit from hybrid approaches that use supplemental activation either during or following the electron-driven dissociation event to promote more by guest on December 8, 2020 extensive fragmentation (482,483). These hybrid methods have been shown to improve both Nand O-glycopeptide characterization (322,(484)(485)(486)(487)(488)(489)(490), but they are effectively required for sitespecific analyses of O-glycopeptides (52,113,114,306,475). As these nuances between N-and O-glycopeptides continue to be investigated, new acquisitions schemes, such as dataindependent acquisition (DIA) methods (491)(492)(493)(494)(495)(496), are beginning to emerge that have the potential to enable consistent and reproducible characterization of larger and larger subsets of the glycoproteome. ...
Glycosylation is a prevalent, yet heterogeneous modification with a broad range of implications in molecular biology. This heterogeneity precludes enrichment strategies that can be universally beneficial for all glycan classes. Thus, choice of enrichment strategy has profound implications on experimental outcomes. Here we review common enrichment strategies used in modern mass spectrometry (MS)-based glycoproteomic experiments, including lectins and other affinity chromatographies, hydrophilic interaction chromatography (HILIC) and its derivatives, porous graphitic carbon (PGC), reversible and irreversible chemical coupling strategies, and chemical biology tools that often leverage bioorthogonal handles. Interest in glycoproteomics continues to surge as MS instrumentation and software improve, so this review aims to help equip researchers with necessary information to choose appropriate enrichment strategies that best complement these efforts.
... The work reported here suggests some subjects for future study in both glycobiology and glycoproteomics software. On the biological side, the work reported here found O-linked glycosylation on neuropeptides, similar to corresponding recent discoveries of O-linked glycosylation on human and mouse insulin [35] and O-linked glycsylation on crustacean neuropeptides [36]. In all cases, the glycosylated peptides are of low abundance relative to the wildtype peptide, so the glycosylated forms may simply be a harmless product of some nonspecificity-"leakage"-of GalNAc transferases, which initiate most O-linked glycosylation in secreted proteins. ...
Glycopeptides in peptide or digested protein samples pose a number of analytical and bioinformatics challenges beyond those posed by unmodified peptides or peptides with smaller posttranslational modifications. Exact structural elucidation of glycans is generally beyond the capability of a single mass spectrometry experiment, so a reasonable level of identification for tandem mass spectrometry, taken by several glycopeptide software tools, is that of peptide sequence and glycan composition, meaning the number of monosaccharides of each distinct mass, for example HexNAc(2)Hex(5) rather than man5. Even at this level, however, glycopeptide analysis poses challenges: finding glycopeptide spectra when they are a tiny fraction of the total spectra; assigning spectra with unanticipated glycans, not in the initial glycan database; and finding, scoring, and labeling diagnostic peaks in tandem mass spectra. Here we discuss recent improvements to Byonic, a glycoproteomics search program, that address these three issues. Byonic now supports filtering spectra by m/z peaks, so that the user can limit attention to spectra with diagnostic peaks, for example, at least two out of three of 204.087 for HexNAc, 274.092 for NeuAc (with water loss), and 366.139 for HexNAc-Hex, all within a set mass tolerance, for example, ± 0.01 Daltons. Also new is glycan "wildcard" search, which allows an unspecified mass within a user-set mass range to be applied to N- or O-linked glycans and enables assignment of spectra with unanticipated glycans. Finally the next release of Byonic supports user-specified peak annotations from user-defined posttranslational modifications. We demonstrate the utility of these new software features by finding previously unrecognized glycopeptides in publicly available data, including glycosylated neuropeptides from rat brain.
... Since the HCD scans also produce an overview of peptidome for the sample analyzed, an updated database with novel crustacean neuropeptides can be built and then used in the following data analysis procedures. This approach (Fig. 9) enables the discovery of glycosylation on novel neuropeptides in addition to known neuropeptides with limited amount of neuronal tissue samples (Cao, Yu, Liu, Chen, & Li, 2018 3. Set up the following gradient: 0-90 min, 3-30% B; 90.5-110.5 min, 30-75% B; 110-130 min, 75-95% B; and include another 15 min 3% B at the end for column equilibration. ...
Glycosylation is one of the most ubiquitous and complex post-translational modifications (PTMs). It plays pivotal roles in various biological processes. Studies at the glycopeptide level are typically considered as a downstream work resulting from enzymatic digested glycoproteins. Less attention has been focused on glycosylated endogenous signaling peptides due to their low abundance, structural heterogeneity and the lack of enabling analytical tools. Here, protocols are presented to isolate and characterize glycosylated neuropeptides utilizing nanoflow liquid chromatography coupled with mass spectrometry (LC-MS). We first demonstrate how to extract neuropeptides from raw tissues and perform further separation/cleanup before MS analysis. Then we describe hybrid MS methods for glycosylated neuropeptide profiling and site-specific analysis. We also include recommendations for data analysis to identify glycosylated neuropeptides in crustaceans where a complete neuropeptide database is still lacking. Other strategies and future directions are discussed to provide readers with alternative approaches and further unravel biological complexity rendered by glycosylation.
Human cerebrospinal fluid (CSF) is a rich source for central nervous system (CNS)-related disease biomarker discovery due to its direct interchange with the extracellular fluid of the CNS. Though extensive proteome-level profiling has been conducted for CSF, studies targeting at its endogenous peptidome is still limited. It is more difficult to include the post-translational modifications (PTMs) characterization of the peptidome in the mass spectrometry (MS) analysis because of their low abundance and the challenge of data interpretation. In this chapter, we present a peptidomic workflow that combines molecular weight cut-off (MWCO) separation, electron-transfer and higher-energy collision dissociation (EThcD) fragmentation, and a three-step database searching strategy for comprehensive PTM analysis of endogenous peptides including both N-glycosylation and O-glycosylation and other common peptide PTMs. The method has been successfully adopted to analyze CSF samples from healthy donors, mild cognitive impairment (MCI), and Alzheimer’s disease (AD) patients to provide a landscape of peptidome in different disease states.
Glycoproteomics has accelerated in recent decades owing to numerous innovations in the analytical workflow. In particular, new mass spectrometry strategies have contributed to inroads in O-glycoproteomics, a field that lags behind N-glycoproteomics due to several unique challenges associated with the complexity of O-glycosylation. This review will focus on progress in sample preparation, enrichment strategies, and MS/MS techniques for the identification and characterization of O-glycoproteins.
Neuropeptides are a class of endogenous peptides that have key regulatory roles in biochemical, physiological, and behavioral processes. Mass spectrometry analyses of neuropeptides often rely on protein informatics tools for database searching and peptide identification. As neuropeptide databases are typically experimentally built and comprised of short sequences with high sequence similarity to each other, we developed a novel database searching tool, HyPep, which utilizes sequence homology searching for peptide identification. HyPep aligns de novo sequenced peptides, generated through PEAKS software, with neuropeptide database sequences and identifies neuropeptides based on the alignment score. HyPep performance was optimized using LC-MS/MS measurements of peptide extracts from various Callinectes sapidus neuronal tissue types and compared with a commercial database searching software, PEAKS DB. HyPep identified more neuropeptides from each tissue type than PEAKS DB at 1% false discovery rate, and the false match rate from both programs was 2%. In addition to identification, this report describes how HyPep can aid in the discovery of novel neuropeptides.
Biological processes unfold across broad spatial and temporal dimensions, and measurement of the underlying molecular world is essential to their understanding. Interdisciplinary efforts advanced mass spectrometry (MS) into a tour de force for assessing virtually all levels of the molecular architecture, some in exquisite detection sensitivity and scalability in space‐time. In this review, we offer vignettes of milestones in technology innovations that ushered sample collection and processing, chemical separation, ionization, and 'omics analyses to progressively finer resolutions in the realms of tissue biopsies and limited cell populations, single cells, and subcellular organelles. Also highlighted are methodologies that empowered the acquisition and analysis of multidimensional MS data sets to reveal proteomes, peptidomes, and metabolomes in ever‐deepening coverage in these limited and dynamic specimens. In pursuit of richer knowledge of biological processes, we discuss efforts pioneering the integration of orthogonal approaches from molecular and functional studies, both within and beyond MS. With established and emerging community‐wide efforts ensuring scientific rigor and reproducibility, spatiotemporal MS emerged as an exciting and powerful resource to study biological systems in space‐time.
Glycosylated neuropeptides were recently discovered in crustaceans, a model organism with a well-characterized neuroendocrine system. Several workflows exist to characterize enzymatically digested peptides; however, the unique properties of endogenous neuropeptides require methods to be re-evaluated. We evaluate the use of hydrophilic interaction liquid chromatography (HILIC) enrichment and different fragmentation methods to further probe the expression of glycosylated neuropeptides in Callinectes sapidus. During the evaluation of HILIC, we observed the necessity of a less aqueous solvent for endogenous peptide samples. This modification enabled the number of detected neuropeptide glycoforms increased almost two-fold, from 18 to 36. Product ion-triggered electron-transfer/higher-energy collision dissociation enabled the site-specific detection of 55 intact N- and O-linked glycoforms, while the faster stepped collision energy higher-energy collisional dissociation resulted in detection of 25. Applying this workflow to five neuronal tissues enabled the characterization of 36 glycoforms of known neuropeptides and 11 glycoforms of 9 putative novel neuropeptides. Overall, the database of glycosylated neuropeptides in crustaceans was largely expanded from 18 to 136 glycoforms of 40 neuropeptides from 10 neuropeptide families. Both macro- and micro-heterogeneity were observed, demonstrating the chemical diversity of this simple invertebrate, establishing a framework to use crustacean to probe modulatory effects of glycosylation on neuropeptides. This article is protected by copyright. All rights reserved.
Biosynthetic enzymes in the secretory pathway create distributions of glycans at each glycosite that elaborate the biophysical properties and biological functions of glycoproteins. Because the biosynthetic glycosylation reactions do not go to completion, each protein glycosite is heterogeneous with respect to glycosylation. This heterogeneity means that it is not sufficient to measure protein abundance in omics experiments. Rather, it is necessary to sample the distribution of glycosylation at each glycosite to quantify the changes that occur during biological processes. On the one hand, the use of data-dependent acquisition methods to sample glycopeptides is limited by the instrument duty cycle and the missing value problem. On the other, stepped window data-independent acquisition samples all precursors, but ion abundances are limited by duty cycle. Therefore, the ability to quantify accurately the flux in glycoprotein glycosylation that occurs during biological processes requires the exploitation of emerging mass spectrometry technologies capable of deep, comprehensive sampling and selective high confidence assignment of the complex glycopeptide mixtures. This review summarizes recent technical advances and mass spectral glycoproteomics analysis strategies and how these developments impact our ability to quantify the changes in glycosylation that occur during biological processes. We highlight specific improvements to glycopeptide characterization through activated electron dissociation, ion mobility trends and instrumentation, and efficient algorithmic approaches for glycopeptide assignment. We also discuss the emerging need for unified standards to enable interlaboratory collaborations and effective monitoring of structural changes in glycoproteins.
N-glycosylation is a critical quality attribute for monoclonal antibody (mAb)-based therapeutics due to its significant impact on drug efficacy and safety. Extensive glycosylation mapping is therefore necessary for mAb drug development and quality control. We utilized a higher-energy dissociation product ions-triggered electron-transfer/higher-energy collision dissociation (HCD-pd-EThcD) approach to mapping N-glycosylation in therapeutic mAbs. Due to the improved duty cycle and targeted ability, HCD-pd-EThcD could provide extensive N-glycan identifications as well as higher quality spectra than EThcD mode. On average, ten types of N-glycan were uncovered in two different lots of trastuzumab, demonstrating a significant increment in N-glycan species compared to only four types identified by EThcD. After integrating pre-enrichment of glycopeptides, up to 16 N-glycans were recognized. Significantly, this strategy facilitated the identification of glycopeptides containing fucosylated and sialylated glycans, meanwhile enabled the recognition of different N-glycan classes (high mannose, hybrid, and complex). Further application in the glycosylation analysis of adalimumab and bevacizumab resulted in 19 and 8 N-glycans species, providing a more comprehensive insight into their glycosylation modification status. We demonstrated the benefits of an integrated strategy in characterizing various N-glycans of mAb therapeutics and offer an alternative approach for their quality control at the intact glycopeptides level.
Introduction
Neuropeptides are signaling molecules originating in the neuroendocrine system that can act as neurotransmitters and hormones in many biochemical processes. Their exact function is difficult to characterize, however, due to dependence on concentration, post- translational modifications, and the presence of other comodulating neuropeptides. Mass spectrometry enables sensitive, accurate, and global peptidomic analyses that can profile neuropeptide expression changes to understand their roles in many biological problems, such as neurodegenerative disorders and metabolic function.
Areas Covered
We provide a brief overview of the fundamentals of neuropeptidomic research, limitations of existing methods, and recent progress in the field. This review is focused on developments in mass spectrometry and encompasses labeling strategies, post-translational modification analysis, mass spectrometry imaging, and integrated multi-omic workflows, with discussion emphasizing quantitative advancements.
Expert Opinion
Neuropeptidomics is critical for future clinical research with impacts in biomarker discovery, receptor identification, and drug design. While advancements are being made to improve sensitivity and accuracy, there is still room for improvement. Better quantitative strategies are required for clinical analyses, and these methods also need to be amenable to mass spectrometry imaging, post-translational modification analysis, and multi-omics to facilitate understanding and future treatment of many diseases.
Background:
The aberrant proteolytic processing of amyloid precursor protein (APP) into amyloid β peptide (Aβ) in brain is a critical step in the pathogenesis of Alzheimer's disease (AD). As an O-glycosylated protein, O-glycosylation of APP is considered to be related to Aβ generation. Therefore, comprehensive analysis of APP O-glycosylation is important for understanding its functions.
Methods:
We developed a Targeted MS approach with Multi-Fragmentation techniques (TMMF strategy), and successfully characterized O-glycosylation profiling of APP695 expressed in HEK-293 T cells. We calculated relative abundance of glycopeptides with various O-glycosites and O-glycans, and further investigated the alteration of APP O-glycosylation upon TNF-α treatment.
Results:
A total of 14 O-glycosites were identified on three glycopeptides of APP, and at least four O-glycans including GalNAc (Tn antigen), core 1, and mono-/di-sialylated core 1 glycans were determinant at the residues of Thr576 and Thr577. We found a dense cluster of truncated O-glycans on the region nearby beginning of E2 domain and high abundance of sialylated O-glycans on the region close to β-cleavage site. Moreover, we also observed that TNF-α could upregulate the expression of APP and the truncated O-glycans on APP in HEK-293 T cell.
Conclusion:
Our study established an intact O-glycopeptide MS analysis strategy for APP O-glycopeptide identification with enhanced fragmentation efficiency and detection sensitivity. These results provide a comprehensive O-glycosylation map of APP expressed in HEK-293 T cell.
General significance:
The accurate O-glycosites and O-glycan structures on APP may lead to a better understanding of the roles O-glycosylation plays in the processing and functions of APP.
“Iron prawn” is a condition of severe growth retardation that fishers call. The giant river prawn (Macrobrachium rosenbergii) is a commercially important species contains high protein content and functional nutrients. However, no proteomic information is available for this species. We performed the shotgun 2DLC-MS/MS proteomic analysis of the total protein from “iron prawn”. Total 19,758 peptides corresponding to 2613 high-confidence proteins were identified. These proteins range in size from 40 to 70 kDa. KEGG analysis revealed that the largest group consisting total 102 KEGG pathway proteins comparing the “iron prawn” with the normal prawn. Additionally, 7, 11, 1, 6, and 5 commercially important enzymes were found in the eyestalk, liver, muscle, ovary, and testis, respectively. The functions of these differently expressed enzymes include immune system action against pathogens, muscle contraction, digestive system metabolism, cell differentiation, migration, and apoptosis in the severe growth retardation of “iron prawn”. Our work provides insight into the understanding of the formation mechanism of “iron prawn”.
Oxygen (O2) is a critical component of life; without proper O2 levels, cells are unable to respire, meaning glucose cannot be utilized. Thus, hypoxia (low O2 levels) is a well-documented stressor, especially in aquatic environments. Neuropeptides are a major class of regulators for stress-induced responses; however, their global expression changes during stress are not well characterized due to the natural complexity of the nervous system. Beyond being a neurological model organism, crustaceans are regularly exposed to hypoxia, making them a relevant system for this study. Several neuropeptide families, including orcokinins, RFamides, and allatostatin A-types, show dynamic dysregulation due to hypoxia stress. In particular, the brain showed the most dynamic changes with a survival mechanism “switching” (i.e., significant increase to decrease) of neuropeptide content between moderate and severe hypoxia (e.g., NFDEDRSGFA, FDAFTTGFGHS, NRNFLRFamide, and APSGFLGMRamide). Globally, neuropeptides in different tissues appeared to exhibit unique expression patterns at the various severities of hypoxia, including LSSSNSPSSTPL and NFDEIDRSSFGF. Overall, this study provides clear evidence for the benefits of globally analyzing biomolecules and that neuropeptides play a critical role in how crustaceans adapt due to hypoxia stress.
Site-specific characterization of glycosylation requires intact glycopeptide analysis, and recent efforts have focused on how to best interrogate glycopeptides using tandem mass spectrometry (MS/MS). Beam-type collisional activation, i.e., higher-energy collisional dissociation (HCD), has been a valuable approach, but stepped collision energy HCD (sceHCD) and electron transfer dissociation with HCD supplemental activation (EThcD) have emerged as potentially more suitable alternatives. Both sceHCD and EThcD have been used with success in large-scale glycoproteomic experiments, but they each incur some degree of compromise. Most progress has occurred in the area N-glycoproteomics. There is growing interest in extending this progress to O-glycoproteomics, which necessitates comparisons of method performance for the two classes of glycopeptides. Here, we systematically explore the advantages and disadvantages of conventional HCD, sceHCD, ETD, and EThcD for intact glycopeptide analysis and determine their suitability for both N- and O-glycoproteomic applications. For N-glycopeptides, HCD and sceHCD generate similar numbers of identifications, although sceHCD generally provides higher quality spectra. Both significantly outperform EThcD methods, indicating that ETD-based methods are not required for routine N-glycoproteomics. Conversely, ETD-based methods, especially EThcD, are indispensable for site-specific analyses of O-glycopeptides. Our data show that O-glycopeptides cannot be robustly characterized with HCD-centric methods that are sufficient for N-glycopeptides, and glycoproteomic methods aiming to characterize O-glycopeptides must be constructed accordingly.
Comprehensive protein identification and concomitant structural probing of proteins are of great biological significance. However, this is challenging to accomplish simultaneously in one confined space. Here, we develop a nanosecond photochemical reaction (nsPCR)-based click chemistry, capable of structural probing of proteins and enhancing their identifications through on-demand removal of surrounding matrices within nanoseconds. The nsPCR is initiated using a photoactive compound, 2-nitrobenzaldehyde, and is examined by matrix-assisted laser desorption/ionization-mass spectrometry. Benefiting from the on-demand matrix-removal effect, this nsPCR strategy enables enhanced neuropeptide identification and visualization from complex tissue samples such as mouse brain tissue. The design shows great promise for structural probing of proteins up to 155 kDa due to the exclusive accessibility of nsPCR to primary amine groups, as demonstrated by its general applicability using a series of proteins with various lysine residues from multiple sample sources, with accumulated labeling efficiencies greater than 90%.
Protein N-glycosylation is an important post-translational modification and has influences on a variety of biological processes at the cellular and molecular level, making glycosylation a major study aspect for glycoprotein-based therapeutics. To achieve a comprehensive understanding on how N-glycosylation impacts protein properties, an Fc-fusion anthrax decoy protein, viz rCMG2-Fc, was expressed in Nicotiana benthamiana plant with three types of N-glycosylation profiles. Three variants were produced by targeting protein to plant apoplast (APO), endoplasmic reticulum (ER) or removing the N-glycosylation site by a point mutation (Agly). Both the APO and ER variants had a complex-type N-glycan (GnGnXF) as their predominant glycans. In addition, ER variant had a higher concentration of mannose-type N-glycans (50%). The decoy protein binds to the protective antigen (PA) of anthrax through its CMG2 domain and inhibits toxin endocytosis. The protein expression, sequence, N-glycosylation profile, binding kinetics to PA, toxin neutralization efficiency, and thermostability were determined experimentally. In parallel, we performed molecular dynamics (MD) simulations of the predominant full-length rCMG2-Fc glycoform for each of the three N-glycosylation profiles to understand the effects of glycosylation at the molecular level. The MAN8 glycoform from the ER variant was additionally simulated to resolve differences between the APO and ER variants. Glycosylation showed strong stabilizing effects on rCMG2-Fc during in planta accumulation, evidenced by the over 2-fold higher expression and less protein degradation observed for glycosylated variants compared to the Agly variant. Protein function was confirmed by toxin neutralization assay (TNA), with effective concentration (EC50) rankings from low to high of 67.6 ng/ml (APO), 83.15 ng/ml (Agly), and 128.9 ng/ml (ER). The binding kinetics between rCMG2-Fc and PA were measured with bio-layer interferometry (BLI), giving sub-nanomolar affinities regardless of protein glycosylation and temperatures (25 and 37°C). The protein thermostability was examined utilizing the PA binding ELISA to provide information on EC50 differences. The fraction of functional ER variant decayed after overnight incubation at 37°C, and no significant change was observed for APO or Agly variants. In MD simulations, the MAN8 glycoform exhibits quantitatively higher distance between the CMG2 and Fc domains, as well as higher hydrophobic solvent accessible surface areas (SASA), indicating a possibly higher aggregation tendency of the ER variant. This study highlights the impacts of N-glycosylation on protein properties and provides insight into the effects of glycosylation on protein molecular dynamics.
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) has emerged as a label-free analytical tool for fast biomolecule profiling on tissue sections. Among various functional molecules, mapping neurotransmitters and related metabolites is of tremendous significance, as these compounds are critical to signaling and neuron communication in the central nervous system. Here, we demonstrated the use of both derivatization and reaction-free approaches that greatly reduced signal complexity and thus enabled complementary signaling molecule visualization on crab brain sections via MALDI-LTQ-Orbitrap XL platform. Pyrylium salt served as primary amine derivatization reagent and produced prominent signal enhancement of multiple neurotransmitters, including dopamine, serotonin, γ-aminobutyric acid and histamine that were not detected in underivatized tissues. Molecules with other functional groups, such as acetylcholine and phosphocholine, were directly imaged after matrix application. The identity of discovered neurotransmitters was verified by standards using LC-MS/MS. This study broadens an understanding of metabolic signaling in the crustacean nervous system and highlights potential of multifaceted MS techniques for unambiguous neurotransmitter characterization.
The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world's largest data repository of mass spectrometry-based proteomics data, and is one of the founding members of the global ProteomeXchange (PX) consortium. In this manuscript, we summarize the developments in PRIDE resources and related tools since the previous update manuscript was published in Nucleic Acids Research in 2016. In the last 3 years, public data sharing through PRIDE (as part of PX) has definitely become the norm in the field. In parallel, data re-use of public proteomics data has increased enormously, with multiple applications. We first describe the new architecture of PRIDE Archive, the archival component of PRIDE. PRIDE Archive and the related data submission framework have been further developed to support the increase in submitted data volumes and additional data types. A new scalable and fault tolerant storage backend, Application Programming Interface and web interface have been implemented, as a part of an ongoing process. Additionally, we emphasize the improved support for quantitative proteomics data through the mzTab format. At last, we outline key statistics on the current data contents and volume of downloads, and how PRIDE data are starting to be disseminated to added-value resources including Ensembl, UniProt and Expression Atlas.
The system-wide site-specific analysis of intact glycopeptides is crucial for understanding the exact functional relevance of protein glycosylation. Dedicated workflow with the capability to simultaneously characterize and quantify intact glycopeptides...
Protein glycosylation, one of the most heterogeneous post-translational modifications, can play a major role in cellular signal transduction and disease progression. Traditional mass spectrometry (MS)-based large-scale glycoprotein sequencing studies heavily rely on identifying enzymatically released glycans and their original peptide backbone separately, as there is no efficient fragmentation method to produce unbiased glycan and peptide product ions simultaneously in a single spectrum, and that can be conveniently applied to high throughput glycoproteome characterization, especially for N-glycopeptides, which can have much more branched glycan side chains than relatively less complex O-linked glycans. In this study, a redefined electron-transfer/higher-energy collision dissociation (EThcD) fragmentation scheme is applied to incorporate both glycan and peptide fragments in one single spectrum, enabling complete information to be gathered and great microheterogeneity details to be revealed. Fetuin was
Induction of broadly neutralizing antibodies (bnAbs) that target HIV-1 envelope (Env) is a goal of HIV-1 vaccine development. A bnAb target is the Env third variable loop (V3)-glycan site. To determine whether immunization could induce antibodies to the V3-glycan bnAb binding site, we repetitively immunized macaques over a 4-year period with an Env expressing V3-high mannose glycans. Env immunizations elicited plasma antibodies that neutralized HIV-1 expressing only high-mannose glycans—a characteristic shared by early bnAb B cell lineage members. A rhesus recombinant monoclonal antibody from a vaccinated macaque bound to the V3-glycan site at the same amino acids as broadly neutralizing antibodies. A structure of the antibody bound to glycan revealed that the three variable heavy-chain complementarity-determining regions formed a cavity into which glycan could insert and neutralized multiple HIV-1 isolates with high-mannose glycans. Thus, HIV-1 Env vaccination induced mannose-dependent antibodies with characteristics of V3-glycan bnAb precursors.
Many biopharmaceutical products exhibit extensive structural micro-heterogeneity due to an array of co-occurring post-Translational modifications. These modifications often effect the functionality of the product and therefore need to be characterized in detail. Here, we present an integrative approach, combining two advanced mass spectrometry-based methods, high-resolution native mass spectrometry and middle-down proteomics, to analyse this micro-heterogeneity. Taking human erythropoietin and the human plasma properdin as model systems, we demonstrate that this strategy bridges the gap between peptide-and protein-based mass spectrometry platforms, providing the most complete profiling of glycoproteins. Integration of the two methods enabled the discovery of three undescribed C-glycosylation sites on properdin, and revealed in addition unexpected heterogeneity in occupancies of C-mannosylation. Furthermore, using various sources of erythropoietin we define and demonstrate the usage of a biosimilarity score to quantitatively assess structural similarity, which would also be beneficial for profiling other therapeutic proteins and even plasma protein biomarkers. © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
Large-scale mass spectrometry-based peptidomics for drug discovery is relatively unexplored because of challenges in peptide degradation and identification following tissue extraction. Here we present a streamlined analytical pipeline for large-scale peptidomics. We developed an optimized sample preparation protocol to achieve fast, reproducible and effective extraction of endogenous peptides from sub-dissected organs such as the brain, while diminishing unspecific protease activity. Each peptidome sample was analysed by high-resolution tandem mass spectrometry and the resulting data set was integrated with publically available databases. We developed and applied an algorithm that reduces the peptide complexity for identification of biologically relevant peptides. The developed pipeline was applied to rat hypothalamus and identifies thousands of neuropeptides and their post-translational modifications, which is combined in a resource format for visualization, qualitative and quantitative analyses.
Biogenic amines and peptides can act both as circulating neurohormones and as classical central and peripheral neurotransmitters. This article reviews some of the variety of roles played by amines and peptides in crustacean nervous systems. Cardiac, stomatogastric and postural systems are used to illustrate: (1) the functional versatility of amines and peptides; (2) the molecular basis of their actions; (3) the coexistence of amines and peptides with other bioactive compounds; and (4) the developmental expression of amine and peptide phenotypes. We will deal in detail with the postural neuromuscular system of the lobster, Homarus americanus. Physiological and pharmacological experiments have shown that the biogenic amines serotonin and octopamine are capable of regulating posture by direct neurohormonal actions on the muscles and by central actions that alter motoneuronal output. We have localized serotonin to identified neurones in the lobster ventral nerve cord and have shown further that the pentapeptide proctolin coexists with the amine in these cells. Such neurones provide a convenient system in which to study the functional interactions between peptide and amine cotransmitters. In addition, the serotonin and proctolin phenotypes of these cells are first expressed at widely different times in development. This presents the possibility of studying the regulation of these two transmitter phenotypes in a system that is readily amenable to experimental manipulation.
Protein glycosylation plays critical roles for the regulation of diverse biological processes, and determination of glycan structure-function relationships is important to better understand these events. However, characterization of glycan and glycopeptide structural isomers remains challenging and often relies on biosynthetic pathways being conserved. In glycoproteomic analysis with liquid chromatography - tandem mass spectrometry (LC-MS/MS), using collision-induced dissociation (CID), saccharide oxonium ions containing N-acetylhexosamine (HexNAc) residues are prominent. Through analysis of beam-type CID spectra and ion trap CID spectra of synthetic, and natively derived, N- and O-glycopeptides we found that the fragmentation patterns of oxonium ions characteristically differ between glycopeptides terminally substituted with GalNAcα1-O-, GlcNAcβ1-O-, Galβ3GalNAcα1-O-, Galβ4GlcNAcβ-O-, and Galβ3GlcNAcβ-O- structures. The difference in oxonium ion fragmentation profiles of such glycopeptides may thus be used to distinguish between these glycan structures, and be of importance in LC-MS/MS based glycoproteomic studies.
The distribution of red pigment concentrating hormone (RPCH)-like immuno-reactivity (RPLI) in the stomatogastric nervous system of the crab, Cancer borealis, was studied using whole-mount immunocytochemistry. RPLI was seen in neuropilar processes in the stomatogastric ganglion (STG), and in somata in the oesophageal ganglion and commissural ganglia. Staining was blocked by preincubating the antiserum with RPCH, as well as with a number of adipokinetic hormones (AKHs) and related peptides.
Synthetic RPCH had strong actions on the pyloric rhythm of the isolated STG. Bath applications of RPCH (10−9-10−6moll−1) increased the cycle frequency in preparations displaying slow pyloric rhythms, and initiated rhythmic pyloric activity in silent preparations. In the presence of tetrodotoxin (TTX), RPCH evoked rhythmic non-impulse-mediated alternations in membrane potential in the lateral pyloric and pyloric dilator motor neurones. The effects of RPCH were compared to those of a series of AKHs which resemble RPCH structurally.
The immunocytochemical and physiological data together suggest that RPCH or a similar molecule is a neurally released modulator of the STG.
Conotoxins are small peptides present in the venom of cone snails. The snail uses this venom to paralyze and capture prey. The constituent conopeptides display a high level of chemical diversity and are of particular interest for scientists as tools employed in neurological studies and for drug development, because they target with exquisite specificity membrane receptors, transporters, and various ion channels in the nervous system. However, these peptides are known to contain a high frequency and variability of post-translational modifications-including sometimes O-glycosylation-which are of importance for biological activity. The potential application of specific conotoxins as neuropharmalogical agents and chemical probes requires a full characterization of the relevant peptides, including the structure of the carbohydrate part. In this review, the currently existing knowledge of O-glycosylation of conotoxins is described.
Appetitive behaviors require complex decision making that involves the integration of environmental stimuli and physiological needs. C. elegans mate searching is a male-specific exploratory behavior regulated by two competing needs: food and reproductive appetite. We found that the pigment dispersing factor receptor (PDFR-1) modulates the circuit that encodes the male reproductive drive that promotes male exploration following mate deprivation. PDFR-1 and its ligand, PDF-1, stimulated mate searching in the male, but not in the hermaphrodite. pdf-1 was required in the gender-shared interneuron AIM, and the receptor acted in internal and external environment-sensing neurons of the shared nervous system (URY, PQR and PHA) to produce mate-searching behavior. Thus, the pdf-1 and pdfr-1 pathway functions in non-sex-specific neurons to produce a male-specific, goal-oriented exploratory behavior. Our results indicate that secretin neuropeptidergic signaling is involved in regulating motivational internal states.
Large scale mass spectrometry analysis of N-linked glycopeptides is complicated by the inherent complexity of the glycan structures. Here, we evaluate a mass spectrometry approach for the targeted analysis of N-linked glycopeptides in complex mixtures that does not require prior knowledge of the glycan structures or pre-enrichment of the glycopeptides. Despite the complexity of N-glycans, the core of the glycan remains constant, comprising two N-acetylglucosamine and three mannose units. Collision-induced dissociation (CID) mass spectrometry of N-glycopeptides results in the formation of the N-acetylglucosamine (GlcNAc) oxonium ion and a [mannose+GlcNAc] fragment (in addition to other fragments resulting from cleavage within the glycan). In ion-trap CID, those ions are not detected due to the low m/z cutoff; however, they are detected following the beam-type CID known as higher energy collision dissociation (HCD) on the orbitrap mass spectrometer. The presence of these product ions following HCD can be used as triggers for subsequent electron transfer dissociation (ETD) mass spectrometry analysis of the precursor ion. The ETD mass spectrum provides peptide sequence information, which is unobtainable from HCD. A Lys-C digest of ribonuclease B and trypsin digest of immunoglobulin G were separated by ZIC-HILIC liquid chromatography and analyzed by HCD product ion-triggered ETD. The data were analyzed both manually and by search against protein databases by commonly used algorithms. The results show that the product ion-triggered approach shows promise for the field of glycoproteomics and highlight the requirement for more sophisticated data mining tools.
Currently, glycans are attracting attention from the scientific community as potential biomarkers or as posttranslational modifications (PTMs) of therapeutic proteins. However, structural characterization of glycoproteins and glycopeptides remains analytically challenging. Here, we report on the implementation of a novel acquisition strategy termed higher-energy collision dissociation-accurate mass-product-dependent electron transfer dissociation (HCD-PD-ETD) on a hybrid linear ion trap-orbitrap mass spectrometer. This acquisition strategy uses the complementary fragmentations of ETD and HCD for glycopeptides analysis in an intelligent fashion. Furthermore, the approach minimizes user input for optimizing instrumental parameters and enables straightforward detection of glycopeptides. ETD spectra are only acquired when glycan oxonium ions from MS/MS HCD are detected. The advantage of this approach is that it streamlines data analysis and improves dynamic range and duty cycle. Here, we present the benefits of HCD-PD-ETD relative to the traditional alternating HCD/ETD for a trainer set containing twelve-protein mixture with two glycoproteins: human serotransferrin, ovalbumin and contaminations of two other: bovine alpha 1 acid glycoprotein (bAGP) and bovine fetuin.
Nrf2 gene encodes a transcription factor that regulates the expression of a cluster of antioxidant and detoxification genes. Recent works from our laboratory indicate that oxidative stress causes rapid de novo synthesis of Nrf2 protein. We have found that 5' Untranslated Region (5'UTR) of Nrf2 allows the mRNA to undergo an Internal Ribosomal Entry Site (IRES) mediated protein translation. Using liquid chromatography tandem MS, we have discovered that La/SSB protein bound to Nrf2 5'UTR in response to oxidative stress. In vitro RNA binding and in vivo ribonucleoprotein immunoprecipitation showed H(2)O(2) dose and time dependent increases of La/SSB binding to Nrf2 5'UTR. La/SSB protein translocated from the nuclei to cytoplasm and distributed in the perinuclear space in cells treated with H(2)O(2). Isolation of ribosomal fractions indicated that oxidants caused an association of La/SSB with ribosomes. Physical interaction of La/SSB with representative proteins from the small or large subunits of ribosomes was found to increase in cells responding to H(2)O(2) treatment. Knocking down La/SSB gene with siRNA prevented Nrf2 protein elevation or Nrf2 5'UTR activation by oxidants. In contrast, overexpression of La/SSB gene was able to enhance Nrf2 5'UTR activation and Nrf2 protein increase. Our data suggest that oxidants cause nuclear export of La/SSB protein and subsequent association of La/SSB with Nrf2 5'UTR and ribosomes. These events contribute to de novo Nrf2 protein translation because of oxidative stress.
Many software tools have been developed for the automated identification of peptides from tandem mass spectra. The accuracy and sensitivity of the identification software via database search are critical for successful proteomics experiments. A new database search tool, PEAKS DB, has been developed by incorporating the de novo sequencing results into the database search. PEAKS DB achieves significantly improved accuracy and sensitivity over two other commonly used software packages. Additionally, a new result validation method, decoy fusion, has been introduced to solve the issue of overconfidence that exists in the conventional target decoy method for certain types of peptide identification software.
Characterization of mRNA sequence is a critical aspect of mRNA drug development and regulatory filing. Herein, we developed a novel bottom-up oligonucleotide sequence mapping workflow combining multiple endonucleases. RNase T1, colicin E5 and mazF were applied in parallel to provide complementary sequence coverage for large mRNAs. Combined use of multiple endonucleases resulted in significantly improved sequence coverage: greater than 70% sequence coverage was achieved on mRNAs near 3000 nucleotides long. Oligonucleotide mapping simulations with large human RNA databases demonstrate that the proposed workflow can positively identify a single correct sequence from hundreds of similarly-sized sequences. In addition, the workflow is sensitive and specific enough to detect minor sequence impurities such as single nucleotide polymorphisms (SNPs) with a sensitivity of less than 1%. LC-MS/MS-based oligonucleotide sequence mapping can serve as an orthogonal sequence characterization method to techniques such as Sanger sequencing or next-generation sequencing (NGS), providing high-throughput sequence identification and sensitive impurity detection.
Determination of site-specific glycoforms is the key to reveal the micro-heterogeneity of protein glycosylation at proteome level. Herein, we presented an integrated virtual multistage MS strategy to identify intact glycopeptides, which allowed the determination of site-specific glycoforms. In this strategy, the enzymatically de-glycosylated peptides and intact glycopeptides were mixed and analyzed in the same LC-MS/MS run. The acquired MS2 spectra of intact glycopeptides allowed determination of the glycans, and the MS2 spectra of the de-glycosylated peptides enabled the identification of peptide backbone sequences. Compared with the conventional multistage strategy, the peptide backbones could be directly identified by the MS2 of the de-glycopeptides with higher sensitivity. This strategy was first validated by analyzing the glycosites and site-specific glycoforms of mouse liver tissues. Then, it was applied to differential analysis of the glycoproteomes of hepatocellular carcinoma (HCC) and adjacent liver tissues. Compared with the identification scheme using only MS2 spectra of intact glycopeptides or glycosites, this approach enabled quantitative analysis on two levels, i.e. glycosites and site-specific glycoforms, simultaneously. Thus, it could be a powerful tool to characterize the subtle differences in the macro- and micro-heterogeneity of protein glycosylation for different samples.
Polysaccharides are the most abundant biomolecule in nature and are ubiquitously found in every kingdom of life. Despite their natural abundance, methods for the characterization of their complicated structures have lagged behind both proteins and DNA. Polysaccharides can reach up to one million daltons and may contain many different monosaccharides, glycosidic linkages, and branching patterns, all of which add additional analytical challenges. A lack of robust and rapid structural characterization strategies has resulted in a limited understanding of their bioactivity. We present a general approach for the characterization of polysaccharides by employing the first liquid chromatography-mass spectrometry platform. This strategy was applied to elucidate the structure of a maize mucilage polysaccharide that is known to harbor a diazotrophic microbiota and employed several new analytical methods that include chemical depolymerization, oligosaccharide sequencing, and monosaccharide and glycosidic linkage quantitation. The mucilage was found to contain a single heterogeneous polysaccharide composed of a highly fucosylated and xylosylated galactose backbone with arabinan and mannoglucuronan branches. The elucidation of this complicated structure illustrates the power of the analytical methods, which may serve as a general platform for polysaccharide analysis in the future.
Analysis of serum protein glycovariants has the potential to identify new biomarkers of human disease. However, the inability to rapidly quantify glycans in a site-specific fashion remains the major barrier to applying such biomarkers clinically. Advancements in sample preparation and glycopeptide quantification are thus needed to better bridge glycoscience with biomarker discovery research. We present here the successful utilization of several sample preparation techniques, including multi-enzyme digestion and glycopeptide enrichment, to increase the repertoire of glycopeptides that can be generated from serum glycoproteins. These techniques combined with glycopeptide retention time prediction and UHPLC-QqQ conditions optimization were then used to develop a dynamic multiple-reaction monitoring (dMRM)-based strategy to simultaneously monitor over 100 glycosylation sites across 50 serum glycoproteins. In total, the abundances of over 600 glycopeptides were simultaneously monitored, some of which were identified by utilizing theoretically predicted ion products and presumed m/z values. The dMRM method was found to have good sensitivity. In the targeted dMRM mode, the limit of quantitation (LOQ) of nine standard glycoproteins reached femtomole levels with a dynamic range spanning 3 to 4 orders of magnitude. The dMRM-based strategy also showed high reproducibility with regards to both instrument and sample preparation performance. The high coverage of the serum glycoproteins that can be quantitated to the glycopeptide level makes this method especially suitable for the biomarker discovery from large sample sets. We predict that in near future biomarkers such as these will be deployed clinically, especially in the fields of cancer and autoimmunity.
In the study of glycoproteomics with mass spectrometry, certain pretreatments of samples are required for eliminating the interference of non-glycopeptides and improving the efficiency of glycopeptides detection. Although hydrophilic interaction chromatography (HILIC) has been developed for enrichment of glycosylated peptides, a plethora of hydrophilic materials always suffered from large steric hindrance, great cost and difficulty with modifications of high-density hydrophilic groups. In this work, a 1-mm-thick biomimetic honeycomb chitosan membrane (BHCM) with honeycomb-like accessible macropores was directly prepared by the freeze-casting method as an adsorbent for HILIC. The N-glycopeptides from trypsin digests of immunoglobulin G (IgG), mixture of IgG and bovine serum albumin (BSA), and serum proteins were enriched using this material, and compared with a commercial material ZIC®-HILIC. The biomimetic membrane could identify as many as 32 N-glycopeptides from the IgG digest, exhibiting high sensitivity (about 50 fmol), and wide scope for glycopeptide enrichment. A molar ratio of IgG trypsin digest to bovine serum albumin trypsin digest as low as 1/500 verified the outstanding specificity and efficiency for glycopeptide enrichment. In addition, 270 unique N-glycosylation sites of 400 unique glycopeptides from 146 glycosylated proteins were identified from the triplicate analysis of 2 μL human serum. Furthermore, 48 unique O-glycosylation sites of 278 unique O-glycopeptides were identified from the triplicate analysis of 30 μg deglycosylated fetuin digest. These results indicated that the chitosan-based membrane prepared in this work had great potential for pretreatment of samples in glycoproteomics.
Owing to their multiscale pore size regimes and unique properties, the materials with hierarchically porous structures have become an important family of functional materials in recent years. They have been applied from energy conversion and storage, catalysis, separation to drug delivery, etc. The synthesis of them is difficult by the need to employ multiple templates and take complicated steps. Herein, we successfully prepared epoxy-functionalized hierarchically porous hybrid monoliths (HPHMs) with micro/meso/macro-structures in an easy way. Firstly, a bulk monolithic material was formed via free radical polymerization between polyhedral oligomeric vinylsilsesquioxanes (vinylPOSS) and allyl glycidyl ether (AGE) in the presence of polycaprolactone (PCL). Then PCL was degraded with hydrochloric acid solution, and the epoxy-functionalized HPHM was obtained. This approach was very simple and suitable for large-scale preparation. Hybrid monoliths with different specific surface area (from 5.4 to 636.7 m²/g) were prepared by adjusting the mole ratio of vinylPOSS to AGE and the content of PCL. The results of several characterization methods, including nitrogen adsorption/desorption measurements, scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP), showed that these materials contained not only micropores and mesopores but also macropores. The materials were further modified with penicillamine to be used as hydrophilic interaction chromatography (HILIC) adsorbents for enriching N-glycopeptides in IgG and serum protein tryptic digests. Up to 23 N-glycopeptides were identified from IgG digest, and 385 N-glycopeptides and 283 N-glycosylation sites were identified from human serum digest.
Intact N-glycopeptide analysis remains challenging due to the complexity of glycopeptide structures, low abundance of glycopeptides in protein digests, and difficulties in data interpretation/quantitation. Herein, we have developed a workflow that involved advanced methodologies, EThcD-MS/MS fragmentation and data interpretation softwares, for differential analysis of the microheterogeneity of site-specific intact N-glycopeptides of serum haptoglobin between early hepatocellular carcinoma (HCC) and liver cirrhosis. Haptoglobin was immunopurified from 20 μL of serum in patients with early HCC, liver cirrhosis and healthy controls, respectively, followed by trypsin/GluC digestion, glycopeptide enrichment, and LC-EThcD-MS/MS analysis. Identification and differential quantitation of site-specific N-glycopeptides were performed using a combination of Byonic and Byologic softwares. In total, 93, 87, and 68 site-specific N-glycopeptides were identified in early HCC, liver cirrhosis, and healthy controls, respectively, with high confidence. The increased variety of N-glycopeptides in liver diseases compared to healthy controls was due to increased branching with hyper-fucosylation and sialylation. Differential quantitation analysis showed that 5 site-specific N-glycopeptides on sites N184 and N241 were significantly elevated in early HCC compared to cirrhosis (p<0.05) and normal controls (p≤0.001). The result demonstrates that the workflow provides a strategy for detailed profiles of N-glycopeptides of patient samples, as well as for relative quantitation to determine the level changes in site-specific N-glycopeptides between disease states.
Glycosylation is an important and variable protein modification that can have a profound effect on the physiological characteristics of the substrate, warranting careful examination in applications ranging from the development and quality control of biopharmaceuticals to clinical glycoproteomics. Glycoproteomics describes the mass spectrometric analysis of protein glycosylation in a site-specific manner, typically of proteolytically digested glycoprotein samples. This may be achieved by interpreting the mass (over charge) values of (glyco)peptides across a run of liquid chromatography coupled to mass spectrometry (LC-MS), and acquiring the fragmentation patterns of selected precursors to sequence the peptide and characterize the composition/structure of the glycan. It has become apparent, however, that most fragmentation mechanisms do not equivalently affect the glycan and peptide portion of a glycopeptide. For example, collision-induced dissociation (CID) and higher-energy collisional dissociation (HCD) primarily yield abundant B- and Y-ions from the glycan portion of a glycopeptide conjugate, whereas electron-transfer dissociation methods such as electron-capture dissociation (ECD) and electron-transfer dissociation (ETD) mainly affect the peptide backbone to yield c- and z-ions. Hybrid fragmentation, i.e., the application of sequential or combinatorial fragmentation by orthogonal fragmentation strategies, has shown to greatly benefit the characterization of glycopeptides by combining the advantages of the individual methods. Examples of hybrid fragmentation methods include the sequential triggering of HCD and ETD on a closely situated precursor mass, using multiple steps of collision energy for the same precursor, and combining multiple methods on the same time/mass window. This is for instance the case with electron-transfer/collision-induced dissociation (ETciD) and electron transfer/higher-energy collisional dissociation (EThcD). Many modern-day mass spectrometers are capable of applying these fragmentation workflows, and the reported use of hybrid fragmentation for glycoproteomics is rapidly expanding. This review will cover recent the developments and applications within the use of hybrid fragmentation for glycoproteomics. The work will be broadly centered on 1) energy-stepping in collisional activation, 2) sequential fragmentation, and 3) combinatorial fragmentation methods. We close by discussing remaining technical challenges, and outline possible future developments.
Human Lysyl oxidase-like 2 (hLOXL2), a glycoprotein implicated in tumor progression and organ fibrosis, is a molecular target for anti-cancer and anti-fibrosis treatment. This glycoprotein contains three predicted N-linked glycosylation sites; one of which is near the protein’s active site and at least one more is known to facilitate the protein’s secretion. Since the glycosylation impacts the protein’s biology, we sought to characterize the native, mammalian glycosylation profile and to determine how closely this profile is recapitulated when the protein is expressed in insect cells. All three glycosylation sites on the protein, expressed in HEK cells, were characterized individually using a mass spectrometry-based glycopeptide analysis workflow. These data were compared to the glycosylation profile of the same protein, expressed in insect cells. We found that the producer cell type imparts a substantial influence on the glycosylation of this important protein. The more relevant version, expressed in HEK cells, contains large, acidic glycoforms; these glycans are not generated in insect cells. The glycosylation differences likely have structural and functional consequences, and these data should be considered when generating protein for functional studies or for high-throughput screening campaigns.
Crustaceans have been long used as model animals for neuromodulation studies because of their well‐defined neural circuitry. The identification of small molecule metabolites and signaling molecules in circulating fluids and neuronal tissues presents unique challenges due to their diverse structures, biological functions, and wide range of concentrations. LC combined with high resolution MS/MS is one of the powerful tools to uncover endogenous small molecules. Here we explored several sample preparation techniques (solid‐phase extraction and denaturing) and MS data acquisition strategies (data‐dependent acquisition and targeted MS2‐based acquisition) that provided complementary coverage and improved overall identification rate in C18 LC‐MS/MS experiment. By MS/MS spectral matching with mzCloud database and those generated from standard compounds, a total of 129 small molecule metabolites and neurotransmitters were identified from crustacean hemolymph and neuronal tissues. These confidently identified small molecules covered predominant biosynthetic pathways for major neurotransmitters, validating the effectiveness of the high‐throughput RPLC‐MS/MS approach in studying the metabolism of neurotransmitters.
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This unique selection of reviews summarizes current knowledge in all major fields of crustacean neurobiology and all levels of their CNS organization, using lobster and crayfish. It not only imparts theoretical knowledge but also describes all available contemporary and advanced techniques, such as patch clamp recordings, microelectrode techniques, immunocytochemistry and all methods of molecular genetics to identify cellular pathways of protein synthesis and peptidergic control. In summary, it is a comprehensive account of the research achievements in one of the major nervous systems besides the mammalian CNS.
Protein phosphorylation and glycoprotein sialylation play a major role in regulating numerous cellular and molecular processes. Several previous studies demonstrated that it is possible to combine in-depth analysis of the phosphoproteome and sialome with common phosphopeptide enrichment methods that simultaneously enrich for sialylated glycopeptides. However, earlier workflows included enzymatic release of glycans and separation of phosphopeptides and formerly glycosylated peptides before independent LC-MS/MS analyses. Here, we demonstrate that electron-transfer/higher-energy collision dissociation (EThcD) enables identification of intact sialylated N-glycopeptides from IMAC enriched samples without additional sample preparation. Furthermore, this method allows for identification of intact glycopeptide sequences modified by phosphorylated glycans such as mannose-6-phosphate (M6P). This suggests that EThcD fragmentation of IMAC enriched samples provides a relatively straightforward means of implementing sialome and M6P-proteome analysis into existing phosphoproteomic workflows.
O-linked glycosylation often involves the covalent attachment of sugar moieties to the hydroxyl group of serine or threonine on proteins/peptides. Despite growing interest in glycoproteins, little attention has been directed to glycosylated signaling peptides, largely due to lack of enabling analytical tools. Here we explore the occurrence of naturally O-linked glycosylation on the signaling peptides extracted from mouse and human pancreatic islets using mass spectrometry (MS). A novel targeted MS-based method is developed to increase the likelihood of capturing these modified signaling peptides and to provide improved sequence coverage and accurate glycosite localization, enabling the first large-scale discovery of O-glycosylation on signaling peptides. Several glycosylated signaling peptides with multiple glycoforms are identified, including the first report of glycosylated insulin B chain and C peptide and BigLEN. This discovery may reveal potential novel functions as glycosylation could influence their conformation and biostability. Given the importance of insulin and its related peptide hormones and previous studies of glycosylated insulin analogs, this natural glycosylation may provide important insights into diabetes research and therapeutic treatments.
Growing evidence on the diverse biological roles of extracellular glycosylation as well as the need for quality control of protein pharmaceuticals make glycopeptide analysis both exciting and important again after a long hiatus. High-throughput O-glycosylation studies have to tackle the complexity of glycosylation as well as technical difficulties and, up to now, have yielded only limited results mostly from single enrichment experiments. In this study, we address the technical reproducibility of the characterization of the most prevalent O-glycosylation (mucin-type core 1 structures) in human serum, using a two-step lectin affinity-based workflow. Our results are based on automated glycopeptide identifications from higher-energy C-trap dissociation and electron transfer dissociation MS/MS data. Assignments meeting strict acceptance criteria served as the foundation for generating “spectral families” incorporating low-scoring MS/MS identifications, supported by accurate mass measurements and expected chromatographic retention times. We show that this approach helped to evaluate the reproducibility of the glycopeptide enrichment more reliably and also contributed to the expansion of the glycoform repertoire of already identified glycosylated sequences. The roadblocks hindering more in-depth investigations and quantitative analyses will also be discussed.
Neuropeptides and peptide hormones represent the largest class of chemical messengers that transmit information from one cell to another. In this review, several decades of research on peptides in cell-cell signaling are summarized, with a focus on neuropeptide discovery, biosynthesis, and function. In addition to covering the well-studied aspects of neuropeptides, emerging concepts are discussed, including classical versus non-classical neuropeptides and direct versus indirect neuropeptides. Other potential functions for peptides in intercellular and intracellular signaling are also discussed. Table of Contents: Overview of Neuropeptides / Neuropeptide Discovery / Neuropeptide Biosynthesis / Neuropeptides After Secretion: Receptors and Peptidases / Representative Neuropeptides / Concluding Remarks and Future Directions / References / Author Biography
Environmental fluctuations, such as salinity, impose serious challenges to marine animal survival. Neuropeptides, signaling molecules involved in the regulation process, and the dynamic changes of their full complement in the stress response have yet to be investigated. Here, a MALDI-MS-based stable isotope labeling quantitation strategy was used to investigate the relationship between neuropeptide expression and adaptability of Carcinus maenas to various salinity levels, including high (60 p.p.t.) and low (0 p.p.t.) salinity, in both the crustacean pericardial organ (PO) and brain. Moreover, a high salinity stress time course study was conducted. MS imaging (MSI) of neuropeptide localization in Carcinus maenas PO was also performed. As a result of salinity stress, multiple neuropeptide families exhibited changes in their relative abundances, including RFamides (e.g. APQGNFLRFamide), RYamides (e.g. SSFRVGGSRYamide), B type-allatostatins (AST-B) (e.g. VPNDWAHFRGSWamide), and orcokinins (e.g. NFDEIDRSSFGFV). The MSI data revealed distribution differences in several neuropeptides (e.g. SGFYANRYamide) between color morphs, but salinity stress appeared to not have a major effect on the localization of the neuropeptides. This article is protected by copyright. All rights reserved.
Animal behaviors and emotions are fine-tuned via signal transmission and communication between cells. The nervous system gives instructions and transmits signals to different parts of an organism to produce coordinated activities. Neurons are core components of the nervous system and they use various chemical messengers to communicate with one another. Neuropeptides (NPs), which are small chains of amino acids, represent the largest class of signaling molecules. Since NPs are directly involved in modulating many physiological processes, such as metabolism, reproduction, learning, memory, and social behaviors–there is a growing interest in studying their structures, functions, and distributions. This book aims to summarize advances in invertebrate NP studies concerning molecular diversities, distributions, and biological functions. In addition, the emerging mass spectrometric techniques have been discussed extensively as a powerful tool enabling accelerated invertebrate NP studies.
Table of Contents: Acknowledgments / Overview of Neuropeptides / Mass-Spectrometry (MS)-Based Techniques Enabling Neuropeptide Discovery / Major Classes of Invertebrate Neuropeptides / Concluding Remarks / References / Author Biographies
Temperature changes influence the reaction rates of all biological processes, which can pose dramatic challenges to cold-blooded organisms, and the capability to adapt to temperature fluctuations is crucial for the survival of these animals. In order to understand the roles that neuropeptides play in the temperature stress response, we employed a mass spectrometry-based approach to investigate the neuropeptide changes associated with acute temperature elevation in three neural tissues from the Jonah crab Cancer borealis. At high temperature, members from two neuropeptide families, including RFamide and RYamide, were observed to be significantly reduced in one of the neuroendocrine structures, the pericardial organ (PO), while several orcokinin peptides were detected to be decreased in another major neuroendocrine organ, the sinus gland (SG). These results implicate that the observed neuropeptides may be involved with temperature perturbation response via hormonal regulation. Furthermore, a temperature stress marker peptide with primary sequence of SFRRMGGKAQ (m/z 1137.7) was detected and de novo sequenced in the circulating fluid (hemolymph) from animals under thermal perturbation.
A combined glycomics and glycoproteomics strategy was developed for the site-specific analysis of N-linked glycosylation heterogeneity from a complex mammalian protein mixture. Initially, global characterization of the N-glycome was performed using porous graphitized carbon liquid chromatography - tandem mass spectrometry (PGC-LC-MS/MS) and the data used to create an N-glycan modification database. In the next step, tryptic glycopeptides were enriched using zwitterionic hydrophilic interaction liquid chromatography (Zic-HILIC) and fractionated by reversed-phase liquid chromatography (RPLC; pH 7.9). The resulting fractions were each separated into two equal aliquots. The first set of aliquots were treated with peptide-N-glycosidase F (PNGase F) to remove N-glycans, and the former N-glycopeptides analyzed by nano-RPLC-MS/MS (pH 2.7) and identified by Mascot database search. This enabled the creation of a glycopeptide-centric concatenated database for each fraction. The second set of aliquots was analyzed directly by nanoRPLC-MS/MS (pH 2.7), employing fragmentation by CID and HCD. The assignment of glycan compositions to peptide sequences was achieved by searching the N-glycopeptide HCD MS/MS spectra against the glycopeptide-centric concatenated databases employing the N-glycan modification database. CID spectra were used to assign glycan structures identified in the glycomic analysis to peptide sequences. This multi-dimensional approach allowed confident identification of 863 unique intact N-linked glycopeptides from 161 rat brain glycoproteins.
The present article provides a brief overview of various aspects on neuropeptides, emphasizing their multitude and their wide distribution in both the peripheral and central nervous system. Interestingly, neuropeptides are also expressed in various types of glial cells under normal and experimental conditions. The recent identification of, often multiple, receptor subtypes for each peptide, as well as the development of peptide antagonists, have provided an experimental framework to explore functional roles of neuropeptides. A characteristic of neuropeptides is the plasticity in their expression, reflecting the fact that release has to be compensated by de novo synthesis at the cell body level. In several systems peptides can be expressed at very low levels normally but are upregulated in response to, for example, nerve injury. The fact that neuropeptides virtually always coexist with one or more classic transmitters suggests that they are involved in modulatory processes and probably in many other types of functions, for example exerting trophic effects. Recent studies employing transgene technology have provided some information on their functional role, although compensatory mechanisms in all probability could disguise even a well defined action. It has been recognized that both ‘old’ and newly discovered peptides may be involved in the regulation of food intake. Recently the first disease-related mutation in a peptidergic system has been identified, and clinical efficacy of a substance P antagonist for treatment of depression has been reported. Taken together it seems that peptides may play a role particularly when the nervous system is stressed, challenged or afflicted by disease, and that peptidergic systems may, therefore, be targets for novel therapeutic strategies.
Glycoproteins are a functionally important class of biomolecules for which structural elucidation presents a challenge. Fragmentation of N-glycosylated peptides, employing collisionally activated dissociation, typically yields product ions that result from dissociation at glycosidic bonds, with little occurrence of dissociation at peptide backbone sites. We have applied two dissociation techniques, electron capture dissociation (ECD) and infrared multiphoton dissociation (IRMPD), in a 7-T Fourier transform ion cyclotron resonance mass spectrometer, in the investigation of an N-glycosylated peptide from an unfractionated tryptic digest of the lectin of the coral tree, Erythrina corallodendron. ECD provided c and z• ions derived from the peptide backbone, with no observed loss of sugars. Cleavage at 11 of 15 backbone amine bonds was observed. The lack of cleavage at sites located close to the glycosylated asparagine residue may result from steric blocking by the glycan. IRMPD provided abundant fragment ions, primarily through dissociation at glycosidic linkages. The monosaccharide composition and the presence of three glycan branch sites could be determined from the IRMPD fragments. The two types of spectra, obtained with the same instrument, thus provide complementary structural information about the glycopeptide. The current result extends the applicability of ECD for glycopeptide analysis to N-glycosylated peptides and to peptides containing branched, highly substituted glycans.
Unlabelled:
The conventional mass spectrometry (MS)-based strategy is often inadequate for the comprehensive characterization of various size neuropeptides without the assistance of genomic information. This study evaluated sequence coverage of different size neuropeptides in two crustacean species, blue crab Callinectes sapidus and Jonah crab Cancer borealis using conventional MS methodologies and revealed limitations to mid- and large-size peptide analysis. Herein we attempt to establish a multi-scale strategy for simultaneous and confident sequence elucidation of various sizes of peptides in the crustacean nervous system. Nine novel neuropeptides spanning a wide range of molecular weights (0.9-8.2kDa) were fully sequenced from a major neuroendocrine organ, the sinus gland of the spiny lobster Panulirus interruptus. These novel neuropeptides included seven allatostatin (A- and B-type) peptides, one crustacean hyperglycemic hormone precursor-related peptide, and one crustacean hyperglycemic hormone. Highly accurate multi-scale characterization of a collection of varied size neuropeptides was achieved by integrating traditional data-dependent tandem MS, improved bottom-up sequencing, multiple fragmentation technique-enabled top-down sequencing, chemical derivatization, and in silico homology search. Collectively, the ability to characterize a neuropeptidome with vastly differing molecule sizes from a neural tissue extract could find great utility in unraveling complex signaling peptide mixtures employed by other biological systems.
Biological significance:
Mass spectrometry (MS)-based neuropeptidomics aims to completely characterize the neuropeptides in a target organism as an important first step toward a better understanding of the structure and function of these complex signaling molecules. Although liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) with data-dependent acquisition is a powerful tool in peptidomic research, it often lacks the capability for de novo sequencing of mid-size and large peptides due to inefficient fragmentation of peptides larger than 4kDa. This study describes a multi-scale strategy for complete and confident sequence elucidation of various sizes of neuropeptides in the crustacean nervous system. The aim is to fill a technical gap where the conventional strategy is inefficient for comprehensive characterization of a complex neuropeptidome without assistance of genomic information. Nine novel neuropeptides in a wide range of molecular weights (0.9-8.2kDa) were fully sequenced from a major neuroendocrine organ of the spiny lobster, P. interruptus. The resulting molecular information extracted from such multi-scale peptidomic analysis will greatly accelerate functional studies of these novel neuropeptides.
Tissue heat stabilization is a vital component in successful mammalian neuropeptidomic studies. Heat stabilization using focused microwave irradiation, conventional microwave irradiation, boiling, and treatment with the Denator Stabilizor T1 have all proven effective in arresting post-mortem protein degradation. Although research has reported the presence of protein fragments in crustacean hemolymph when protease inhibitors were not added to the sample, the degree to which post-mortem protease activity affects neuropeptidomic tissue studies in crustacean species has not been investigated in depth. This work examines the need for Stabilizor T1 or boiling tissue stabilization methods for neuropeptide studies of Callinectes sapidus (blue crab) pericardial organ tissue. Neuropeptides in stabilized and non-stabilized tissue are extracted using acidified methanol or N,N-Dimethylformamide (DMF) and analyzed by MALDI-TOF and nanoLC-ESI-MS/MS platforms. Post-mortem fragments did not significantly affect MALDI analysis in the range m/z 650-1600, but observations in ESI MS/MS experiments suggest that putative post-mortem fragments can mask neuropeptide signal and add spectral complexity to crustacean neuropeptidomic studies. The impact of the added spectral complexity did not dramatically affect the number of detected neuropeptides between stabilized and non-stabilized tissues. However, it is prudent that neuropeptidomic studies of crustacean species include a preliminary experiment using the heat stabilization method to assess the extent of neuropeptide masking by larger, highly charged molecular species.
Increasing peptide sequence coverage by tandem mass spectrometry improves confidence in database search-based peptide identification and facilitates mapping of post-translational modifications and de novo sequencing. Inducing two-fold fragmentation by combining electron-transfer and higher-energy collision dissociation (EThcD) generates dual fragment ion series and facilitates extensive peptide backbone fragmentation. After an initial electron-transfer dissociation step all ions including the unreacted precursor ions are subjected to collision induced dissociation which yields b/y- and c/z-type fragment ions in a single spectrum. This new fragmentation scheme provides richer spectra and substantially increases the peptide sequence coverage and confidence in peptide identification.
Neuropeptides are found in many mammalian CNS neurons where they play key roles in modulating neuronal activity. In contrast to amino acid transmitter release at the synapse, neuropeptide release is not restricted to the synaptic specialization, and after release, a neuropeptide may diffuse some distance to exert its action through a G protein-coupled receptor. Some neuropeptides such as hypocretin/orexin are synthesized only in single regions of the brain, and the neurons releasing these peptides probably have similar functional roles. Other peptides such as neuropeptide Y (NPY) are synthesized throughout the brain, and neurons that synthesize the peptide in one region have no anatomical or functional connection with NPY neurons in other brain regions. Here, I review converging data revealing a complex interaction between slow-acting neuromodulator peptides and fast-acting amino acid transmitters in the control of energy homeostasis, drug addiction, mood and motivation, sleep-wake states, and neuroendocrine regulation.
All nervous systems are subject to neuromodulation. Neuromodulators can be delivered as local hormones, as cotransmitters in projection neurons, and through the general circulation. Because neuromodulators can transform the intrinsic firing properties of circuit neurons and alter effective synaptic strength, neuromodulatory substances reconfigure neuronal circuits, often massively altering their output. Thus, the anatomical connectome provides a minimal structure and the neuromodulatory environment constructs and specifies the functional circuits that give rise to behavior.
Neuropeptides and their G protein-coupled receptors (GPCRs) have an early evolutionary origin and are already abundant in basal animals with primitive nervous systems such as cnidarians (Hydra, jellyfishes, corals, and sea anemones). Most animals emerging after the Cnidaria belong to two evolutionary lineages, the Protostomia (to which the majority of invertebrates belong) and Deuterostomia (to which some minor groups of invertebrates, and all vertebrates belong). These two lineages split about 700 million years (Myr) ago. Many mammalian neuropeptide GPCRs have orthologues in the Protostomia and this is also true for some of the mammalian neuropeptides. Examples are oxytocin/vasopressin, GnRH, gastrin/CCK, and neuropeptide Y and their GPCRs. These results implicate that protostomes (for example insects and nematodes) can be used as models to study the biology of neuropeptide signaling.
Collision-induced dissociation (CID) tandem mass spectrometry (MS/MS) does not allow the characterization of glycopeptides because of the fragmentation of glycan structures and limited fragmentation of peptide backbones. Electron transfer dissociation (ETD) MS/MS, on the other hand, offers a complementary approach, prompting only peptide backbone fragmentation while keeping post-translational modifications intact. Characterization of glycopeptides using both CID and ETD is summarized in this unit. While CID provides information related to the composition of glycan moieties attached to a peptide backbone, ETD permits de novo sequencing of peptides. Radical anion transfer of electrons to the peptide backbone in ETD induces cleavage of the N-Cα bond. The glycan moiety is retained on the peptide backbone, largely unaffected by the ETD process, thus allowing the identification of the amino acid sequence of a glycopeptide and its glycosylation site. This unit discusses the use of both CID and ETD for better characterization of glycopeptides.
Despite the success of several international initiatives the glycosciences still lack a managed infrastructure that contributes to the advancement of research through the provision of comprehensive structural and experimental glycan data collections. UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data. The UniCarbKB framework endeavors to support the growth of glycobioinformatics and the dissemination of knowledge through the provision of an open and unified portal to encourage the sharing of data. In order to achieve this, the framework is committed to the development of tools and procedures that support data annotation, and expanding interoperability through cross-referencing of existing databases. Database URL: http://www.unicarbkb.org.
Neuropeptides referred to as neuropeptide F (NPF) and short neuropeptide F (sNPF) have been identified in numerous invertebrate species. Sequence information has expanded tremendously due to recent genome sequencing and EST projects. Analysis of sequences of the peptides and prepropeptides strongly suggest that NPFs and sNPFs are not closely related. However, the NPFs are likely to be ancestrally related to the vertebrate family of neuropeptide Y (NPY) peptides. Peptide diversification may have been accomplished by different mechanisms in NPFs and sNPFs; in the former by gene duplications followed by diversification and in the sNPFs by internal duplications resulting in paracopies of peptides. We discuss the distribution and functions of NPFs and their receptors in several model invertebrates. Signaling with sNPF, however, has been investigated mainly in insects, especially in Drosophila. Both in invertebrates and in mammals NPF/NPY play roles in feeding, metabolism, reproduction and stress responses. Several other NPF functions have been studied in Drosophila that may be shared with mammals. In Drosophila sNPFs are widely distributed in numerous neurons of the CNS and some gut endocrines and their functions may be truly pleiotropic. Peptide distribution and experiments suggest roles of sNPF in feeding and growth, stress responses, modulation of locomotion and olfactory inputs, hormone release, as well as learning and memory. Available data indicate that NPF and sNPF signaling systems are distinct and not likely to play redundant roles.