Search

Proteoform-resolved information, obtained by top-down (TD) “intact protein” proteomics, is expected to contribute substantially to the understanding of molecular pathogenic mechanisms and in turn, identify novel therapeutic and diagnostic targets. However, the robustness of mass spectrometry (MS) analysis of intact proteins in complex biological samples is hindered by high dynamic range in protein concentration and mass, protein instability, and buffer complexity. Here, we describe an evolutionary step for intact protein investigations through the online implementation of tandem microflow size exclusion chromatography with nanoflow reversed-phase liquid chromatography and MS (μSEC2-nRPLC-MS). Online serial high-/low-pass SEC filtration overcomes the aforementioned hurdles to intact proteomic analysis through automated sample desalting/cleanup and enrichment of target mass ranges (5-155 kDa) prior to nRPLC-MS. The coupling of μSEC to nRPLC is achieved through a novel injection volume control (IVC) strategy of inserting protein trap columns pre- and post-μSEC columns to enable injection of dilute samples in high volumes without loss of sensitivity or resolution. Critical characteristics of the approach are tested via rigorous investigations on samples of varied complexity and chemical background. Application of the platform to cerebrospinal fluid (CSF) pre-fractionated by OFFGEL isoelectric focusing drastically increases the number of intact mass tags (IMTs) detected within the target mass range (5-30 kDa) in comparison to one-dimensional nRPLC-MS with approximately 100x less CSF than previous OFFGEL studies. Furthermore, the modular design of the μSEC2-nRPLC-MS platform is robust and promises significant flexibility for large-scale TDMS analysis of diverse samples either directly or in concert with other multidimensional fractionation steps.

Protein fragmentation is a critical component of top-down proteomics, enabling gene-specific protein identification and full proteoform characterization. The factors that influence protein fragmentation include precursor charge, structure, and primary sequence, which have been explored extensively for collision-induced dissociation (CID). Recently, noticeable differences in CID-based fragmentation were reported for native versus denatured proteins, motivating the need for scoring metrics that are tailored specifically to native top-down mass spectrometry (nTDMS). To this end, position and intensity were tracked for 10,252 fragment ions produced by higher-energy collisional dissociation (HCD) of 159 native monomers and 70 complexes. We used published structural data to explore the relationship between fragmentation and protein topology and revealed that fragmentation events occur at a large range of relative residue solvent accessibility. Additionally, our analysis found that fragment ions at sites with an N-terminal aspartic acid or a C-terminal proline make up on average 40 and 27%, respectively, of the total matched fragment ion intensity in nTDMS. Percent intensity contributed by each amino acid was determined and converted into weights to (1) update the previously published C-score and (2) construct a native Fragmentation Propensity Score. Both scoring systems showed an improvement in protein identification or characterization in comparison to traditional methods and overall increased confidence in results with fewer matched fragment ions but with high probability nTDMS fragmentation patterns. Given the rise of nTDMS as a tool for structural mass spectrometry, we forward these scoring metrics as new methods to enhance analysis of nTDMS data.

The effectiveness of any proteomics database search depends on the theoretical candidate information contained in the protein database. Unfortunately, candidate entries from protein databases such as UniProt rarely contain all the post-translational modifications (PTMs), disulfide bonds, or endogenous cleavages of interest to researchers. These omissions can limit discovery of novel and biologically important proteoforms. Conversely, searching for a specific proteoform becomes a computationally difficult task for heavily modified proteins. Both situations require updates to the database through user-annotated entries. Unfortunately, manually creating properly formatted UniProt Extensible Markup Language (XML) files is tedious and prone to errors. ProSight Annotator solves these issues by providing a graphical interface for adding user-defined features to UniProt-formatted XML files for better informed proteoform searches. It can be downloaded from http://prosightannotator.northwestern.edu.

Human amyloid beta peptide (Aβ) is a brain catabolite that at nanomolar concentrations can form neurotoxic oligomers (AβOs), which are known to accumulate in Alzheimer’s disease. Because a predisposition to form neurotoxins seems surprising, we have investigated whether circumstances might exist where AβO accumulation may in fact be beneficial. Our investigation focused on the embryonic chick retina, which expresses the same Aβ as humans. Using conformation-selective antibodies, immunoblots, mass spectrometry, and fluorescence microscopy, we discovered that AβOs are indeed present in the developing retina, where multiple proteoforms are expressed in a highly regulated cell-specific manner. The expression of the AβO proteoforms was selectively associated with transiently expressed phosphorylated Tau (pTau) proteoforms that, like AβOs, are linked to Alzheimer’s disease (AD). To test whether the AβOs were functional in development, embryos were cultured ex ovo and then injected intravitreally with either a beta-site APP-cleaving enzyme 1 (BACE-1) inhibitor or an AβO-selective antibody to prematurely lower the levels of AβOs. The consequence was disrupted histogenesis resulting in dysplasia resembling that seen in various retina pathologies. We suggest the hypothesis that embryonic AβOs are a new type of short-lived peptidergic hormone with a role in neural development. Such a role could help explain why a peptide that manifests deleterious gain-of-function activity when it oligomerizes in the aging brain has been evolutionarily conserved.

Proteoform-resolved information, obtained by top-down (TD) "intact protein" proteomics, is expected to contribute substantially to the understanding of molecular pathogenic mechanisms and, in turn, identify novel therapeutic and diagnostic targets. However, the robustness of mass spectrometry (MS) analysis of intact proteins in complex biological samples is hindered by the high dynamic range in protein concentration and mass, protein instability, and buffer complexity. Here, we describe an evolutionary step for intact protein investigations through the online implementation of tandem microflow size-exclusion chromatography with nanoflow reversed-phase liquid chromatography and MS (μSEC

Aerobic methane oxidation is catalyzed by particulate methane monooxygenase (pMMO), a copper-dependent, membrane metalloenzyme composed of subunits PmoA, PmoB, and PmoC. Characterization of the copper active site has been limited by challenges in spectroscopic analysis stemming from the presence of multiple copper binding sites, effects of detergent solubilization on activity and crystal structures, and the lack of a heterologous expression system. Here we utilize nanodiscs coupled with native top-down mass spectrometry (nTDMS) to determine the copper stoichiometry in each pMMO subunit and to detect post-translational modifications (PTMs). These results indicate the presence of a mononuclear copper center in both PmoB and PmoC. pMMO-nanodisc complexes with a higher stoichiometry of copper-bound PmoC exhibit increased activity, suggesting that the PmoC copper site plays a role in methane oxidation activity. These results provide key insights into the pMMO copper centers and demonstrate the ability of nTDMS to characterize complex membrane-bound metalloenzymes., The activity of the membrane-bound enzyme pMMO depends on copper but the location of the copper centers is still under debate. Here, the authors reconstitute pMMO in nanodiscs and use native top-down MS to localize its copper centers, providing insights into which sites are essential for activity.

Native mass spectrometry (nMS) is a technique growing at the interface of analytical chemistry, structural biology, and proteomics that enables the detection and partial characterization of non-covalent protein assemblies. Currently, the standardization and dissemination of nMS is hampered by technical challenges associated with instrument operation, benchmarking, and optimization over time. Here, we provide a standard operating procedure for acquiring high-quality native mass spectra of 30-300 kDa proteins using an Orbitrap mass spectrometer. By describing reproducible sample preparation, loading, ionization, and nMS analysis, we forward two proteoforms and three complexes as possible standards to advance training and longitudinal assessment of instrument performance. Spectral data for five standards can guide assessment of instrument parameters, data production, and data analysis. By introducing this set of standards and protocols, we aim to help normalize native mass spectrometry practices across labs and provide benchmarks for reproducibility and high-quality data production in the years ahead. Graphical abstract.

New tools and techniques have dramatically accelerated the field of structural biology over the past several decades. One potent and relatively new technique that is now being utilized by an increasing number of laboratories is the combination of so-called "native" electrospray ionization (ESI) with mass spectrometry (MS) for the characterization of proteins and their noncovalent complexes. However, native ESI-MS produces species at increasingly higher m/z with increasing molecular weight, leading to substantial differences when compared to traditional mass spectrometric approaches using denaturing ESI solutions. Herein, these differences are explored both theoretically and experimentally to understand the role that charge state and isotopic distributions have on signal-to-noise (S/N) as a function of complex molecular weight and how the reduced collisional cross sections of proteins electrosprayed under native solution conditions can lead to improved data quality in image current mass analyzers, such as Orbitrap and FT-ICR. Quantifying ion signal differences under native and denatured conditions revealed enhanced S/N and a more gradual decay in S/N with increasing mass under native conditions. Charge state and isotopic S/N models, supported by experimental results, indicate that analysis of proteins under native conditions at 100 kDa will be 17 times more sensitive than analysis under denatured conditions at the same mass. Higher masses produce even larger sensitivity gains. Furthermore, reduced cross sections under native conditions lead to lower levels of ion decay within an Orbitrap scan event over long transient acquisition times, enabling isotopic resolution of species with molecular weights well in excess of those typically resolved under denatured conditions.

Top-down mass spectrometry (TDMS) differs from the traditional bottom-up approach in that proteins are analyzed directly, rather than enzymatically digested prior to analysis. While bottom-up tends to be faster and more readily implemented, top-down has improved selectivity, enabling simultaneous characterization of dynamic and hard-to-predict events such as coding polymorphisms, alternative splicing, and posttranslational modifications. Thus, TDMS promises to provide a clearer picture of the biological variation that exists beyond gene translation. With the maturation of multidimensional sample processing procedures, data analysis tools, and “online” liquid chromatography and mass spectrometry technologies, top-down for proteomics investigations has achieved the sensitivity and dynamic range typically associated with peptide workflows. Plus, further advancements in native MS technologies have enabled TDMS to complement modern structural biology research by providing information on intact protein complexes such as subunit composition, stoichiometry, modifications, and interactions with various ligands and cofactors.

Summary As current methods for antibiotic drug discovery are being outpaced by the rise of antimicrobial resistance, new methods and innovative technologies are necessary to replenish our dwindling arsenal of antimicrobial agents. To this end, we developed the PepSAVI‐MS pipeline to expedite the search for natural product bioactive peptides. Herein we demonstrate expansion of PepSAVI‐MS for the discovery of bacterial‐sourced bioactive peptides through identification of the bacteriocin Bac‐21 from Enterococcus faecalis pPD1. Minor pipeline modifications including implementation of bacteria‐infused agar diffusion assays and optional digestion of peptide libraries highlight the versatility and wide adaptability of the PepSAVI‐MS pipeline. Additionally, we have experimentally validated the primary protein sequence of the active, mature Bac‐21 peptide for the first time and have confirmed its identity with respect to primary sequence and post‐translational processing. Successful application of PepSAVI‐MS to bacterial secretomes as demonstrated herein establishes proof‐of‐principle for use in novel microbial bioactive peptide discovery.

Over the past decade, advances in mass spectrometry-based proteomics have accelerated brain proteome research aimed at studying the expression, dynamic modification, interaction and function of proteins in the nervous system that are associated with physiological and behavioral processes. With the latest hardware and software improvements in top-down mass spectrometry, the technology has expanded from mere protein profiling to high-throughput identification and quantification of intact proteoforms. Murine systems are broadly used as models to study human diseases. Neuroscientists specifically study the mouse brain from inbred strains to help understand how strain-specific genotype and phenotype affect development, functioning, and disease progression. This work describes the first application of label-free quantitative top-down proteomics to the analysis of the mouse brain proteome. Operating in discovery mode, we determined physiochemical differences in brain tissue from four healthy inbred strains, C57BL/6J, DBA/2J, FVB/NJ, and BALB/cByJ, after probing their intact proteome in the 3.5–30 kDa mass range. We also disseminate these findings using a new tool for top-down proteomics, TDViewer and cataloged them in a newly established Mouse Brain Proteoform Atlas. The analysis of brain tissues from the four strains identified 131 gene products leading to the full characterization of 343 of the 593 proteoforms identified. Within the results, singly and doubly phosphorylated ARPP-21 proteoforms, known to inhibit calmodulin, were differentially expressed across the four strains. Gene ontology (GO) analysis for detected differentially expressed proteoforms also helps to illuminate the similarities and dissimilarities in phenotypes among these inbred strains.

The combined use of electrospray ionization run in so-called "native mode" with top-down mass spectrometry (nTDMS) is enhancing both structural biology and discovery proteomics by providing three levels of information in a single experiment: the intact mass of a protein or complex, the masses of its subunits and non-covalent cofactors, and fragment ion masses from direct dissociation of subunits that capture the primary sequence and combinations of diverse post-translational modifications (PTMs). While intact mass data are readily deconvoluted using well-known software options, the analysis of fragmentation data that result from a tandem MS experiment - essential for proteoform characterization - is not yet standardized. In this tutorial, we offer a decision-tree for the analysis of nTDMS experiments on protein complexes and diverse bioassemblies. We include an overview of strategies to navigate this type of analysis, provide example data sets, and highlight software for the hypothesis-driven interrogation of fragment ions for localization of PTMs, metals, and cofactors on native proteoforms. Throughout we have emphasized the key features (deconvolution, search mode, validation, other) that the reader can consider when deciding upon their specific experimental and data processing design using both open-access and commercial software.

Cocaine addiction afflicts nearly 1 million adults in the United States, and to date, there are no known treatments approved for this psychiatric condition. Women are particularly vulnerable to developing a cocaine use disorder and suffer from more serious cardiac consequences than men when using cocaine. Estrogen is one biological factor contributing to the increased risk for females to develop problematic cocaine use. Animal studies have demonstrated that estrogen (17β-estradiol or E2) enhances the rewarding properties of cocaine. Although E2 affects the dopamine system, the molecular and cellular mechanisms of E2-enhanced cocaine reward have not been characterized. In this study, quantitative top-down proteomics was used to measure intact proteins in specific regions of the female mouse brain after mice were trained for cocaine-conditioned place preference, a behavioral test of cocaine reward. Several proteoform changes occurred in the ventral tegmental area after combined cocaine and E2 treatments, with the most numerous proteoform alterations on myelin basic protein, indicating possible changes in white matter structure. There were also changes in histone H4, protein phosphatase inhibitors, cholecystokinin, and calmodulin proteoforms. These observations provide insight into estrogen signaling in the brain and may guide new approaches to treating women with cocaine use disorder.

Despite decades of accumulated knowledge about proteins and their post-translational modifications (PTMs), numerous questions remain regarding their molecular composition and biological function. One of the most fundamental queries is the extent to which the combinations of DNA-, RNA- and PTM-level variations explode the complexity of the human proteome. Here, we outline what we know from current databases and measurement strategies including mass spectrometry-based proteomics. In doing so, we examine prevailing notions about the number of modifications displayed on human proteins and how they combine to generate the protein diversity underlying health and disease. We frame central issues regarding determination of protein-level variation and PTMs, including some paradoxes present in the field today. We use this framework to assess existing data and to ask the question, "How many distinct primary structures of proteins (proteoforms) are created from the 20,300 human genes?" We also explore prospects for improving measurements to better regularize protein-level biology and efficiently associate PTMs to function and phenotype.

Myelin basic protein (MBP) plays an important structural and functional role in the neuronal myelin sheath. Translated MBP exhibits extreme microheterogeneity with numerous alternative splice variants (ASVs) and post-translational modifications (PTMs) reportedly tied to central nervous system maturation, myelin stability, and the pathobiology of various de- and dys-myelinating disorders. Conventional bioanalytical tools cannot efficiently examine ASV and PTM events simultaneously, which limits understanding of the role of MBP microheterogeneity in human physiology and disease. To address this need, we report on a top-down proteomics pipeline that combines superficially porous reversed-phase liquid chromatography (SPLC), Fourier transform mass spectrometry (FTMS), data-independent acquisition (DIA) with nozzle-skimmer dissociation (NSD), and aligned data processing resources to rapidly characterize abundant MBP proteoforms within murine tissue. The three-tier proteoform identification and characterization workflow resolved four known MBP ASVs and hundreds of differentially modified states from a single 90 min SPLC-FTMS run on ∼0.5 μg of material. This included 323 proteoforms for the 14.1 kDa ASV alone. We also identified two novel ASVs from an alternative transcriptional start site (ATSS) of the MBP gene as well as a never before characterized S-acylation event linking palmitic acid, oleic acid, and stearic acid at C78 of the 17.125 kDa ASV.

We report novel ligand binding assay (LBA) surface modalities that permit plasma protease catalytic efficiency (kcat/km) determination by MALDI-TOF MS without the use of liquid chromatography or internal standards such as chemical or metalized labels. Two model LBAs were constructed on planar self-assembled monolayers (SAMs) and used to evaluate the clinically relevant metalloprotease ADAMTS-13 kinetics in plasma. The SAM chemistries were designed to improve biosampling efficiency by minimization of nonspecific adsorption of abundant proteins present at ~100,000× the concentration of the endogenous enzyme. In the first protocol, in-solution digestion of the ADAMTS-13 substrate (vWFh) was performed with immunoaffinity enrichment of the reaction substrate and product to SAM arrays. The second configuration examined protease kcat/km via a surface digestion modality where different substrates were covalently immobilized to the SAM at controlled surface density for optimized protease screens. The results show the MALDI-TOF MS LBA platforms provide limits of quantitation to ~1% protease activity (~60 pM enzyme concentration) in1 h analysis time, a ~16× improvement over other MS-based LBA formats. Implementation of a vacuum-sublimed MALDI matrix provided good MALDI-TOF MS intra- and interday repeatability, ~1.2 and ~6.6% RSD, respectively. Platform reliability permitted kcat/km determination without internal standards with observed values ~10× improved versus conventional fluorophoric assays. Application of the assays to 12 clinical plasma samples demonstrated proof-of-concept for clinical applications. Overall, this work demonstrates that rationally designed surface chemistries for MALDI-TOF MS may serve as an alternative, label-free methodology with potential for a wide range of biotechnology applications related to targeted enzyme molecular diagnostics.

An irreversible mechanism of protein demyristoylation catalysed by invasion plasmid antigen J (IpaJ), a Shigella flexneri type III effector protein with cysteine protease activity, is described. Nearly one per cent of eukaryotic proteins are modified with N-myristoyl groups that facilitate dynamic protein–protein and protein–membrane interactions. This means that N-myristoylation is important for cellular signaling but also makes it an inviting target for pathogens seeking to modulate a host cell's signalling landscape. Neal Alto and colleagues describe a previously unrecognized pathogenic mechanism involving irreversible protein demyristoylation catalysed by IpaJ, a Shigella flexneri type III effector protein with cysteine protease activity. IpaJ cleaves an array of N-myristoylated proteins involved in cellular growth, signal transduction, autophagasome maturation and organelle function. Protein N-myristoylation is a 14-carbon fatty-acid modification that is conserved across eukaryotic species and occurs on nearly 1% of the cellular proteome1,2. The ability of the myristoyl group to facilitate dynamic protein–protein and protein–membrane interactions (known as the myristoyl switch) makes it an essential feature of many signal transduction systems3. Thus pathogenic strategies that facilitate protein demyristoylation would markedly alter the signalling landscape of infected host cells. Here we describe an irreversible mechanism of protein demyristoylation catalysed by invasion plasmid antigen J (IpaJ), a previously uncharacterized Shigella flexneri type III effector protein with cysteine protease activity. A yeast genetic screen for IpaJ substrates identified ADP-ribosylation factor (ARF)1p and ARF2p, small molecular mass GTPases that regulate cargo transport through the Golgi apparatus4. Mass spectrometry showed that IpaJ cleaved the peptide bond between N-myristoylated glycine-2 and asparagine-3 of human ARF1, thereby providing a new mechanism for host secretory inhibition by a bacterial pathogen5,6. We further demonstrate that IpaJ cleaves an array of N-myristoylated proteins involved in cellular growth, signal transduction, autophagasome maturation and organelle function. Taken together, these findings show a previously unrecognized pathogenic mechanism for the site-specific elimination of N-myristoyl protein modification.

This chapter highlights many of the fundamental concepts and technologies in the field of top-down mass spectrometry (TDMS), and provides numerous examples of contributions that TD is making in biology, biophysics, and clinical investigations. TD workflows include variegated steps that may include non-specific or targeted preparative strategies, orthogonal liquid chromatography techniques, analyte ionization, mass analysis, tandem mass spectrometry (MS/MS) and informatics procedures. This diversity of experimental designs has evolved to manage the large dynamic range of protein expression and diverse physiochemical properties of proteins in proteome investigations, tackle proteoform microheterogeneity, as well as determine structure and composition of gas-phase proteins and protein assemblies.

Immunoassays are employed in academia and the healthcare and biotech industries for high-throughput, quantitative screens of biomolecules. We have developed monolayer-based immunoassays for MALDI-TOF MS. To improve parallelization, we adapted the workflow to photolithography-generated arrays. Our work shows Parylene-C coatings provide excellent “solvent pinning” for reagents and biofluids, enabling sensitive MS detection of immobilized components. With a unique MALDI-matrix crystallization technique we show routine interassay RSD

(13)C Methyl TROSY NMR spectroscopy has emerged as a powerful method for studying the dynamics of large systems such as macromolecular assemblies and membrane proteins. Specific (13)C labeling of aliphatic methyl groups and perdeuteration has been limited primarily to proteins expressed in E. coli, preventing studies of many eukaryotic proteins of physiological and biomedical significance. We demonstrate the feasibility of efficient (13)C isoleucine δ1-methyl labeling in a deuterated background in an established eukaryotic expression host, Pichia pastoris, and show that this method can be used to label the eukaryotic protein actin, which cannot be expressed in bacteria. This approach will enable NMR studies of previously intractable targets.

Technological advancements including an open-cylindrical Penning trap with capacitively coupled ICR cell, selective ion accumulation with a resolving quadrupole, and a voltage gradient used during ion extraction from an octopole ion trap, have individually improved dynamic range and sensitivity in Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS). Documented here is a new instrument utilizing these technologies toward the robust detection and fragmentation of biomolecules >10 kDa. Up to 55-fold enhancement in ion population by selective ion accumulation combined with 10- to 20- fold signal-to-noise improvement by application of a DC voltage gradient to an accumulation octopole during the ion transfer event offers improved signal-to-noise (or speed) of MS/MS experiments, for proteins from Methanococcus jannaschii and Saccharomyces cerevisiae whole cell lysates. After external quadrupole filtering with a 40 m/z window, three proteins were fragmented (and identified) in parallel from the database of Methanococcus jannaschii. Electron capture dissociation (ECD) of an intact yeast protein provides extensive sequence information resulting in a high degree of localization for an N-terminal acetylation. Hybrid fragmentation, infrared multiphoton dissociation (IRMPD) followed by low energy electrons (ECD), with the electron source located laterally off the z-axis and external to the magnet bore, presents a strategy for identification of proteins by means of the sequence tag approach. Automated implementation of diverse MSn approaches in a Q-FTMS instrument promises to help realize “top-down” proteomics in the future.

Thirty years after its invention, the Fourier transform ion cyclotron resonance (FTICR) mass spectrometer continues its evolution into an enabling technology to deepen our understanding of biological systems. For contemporary protein analysis, a quadrupole FTICR hybrid with electrospray ionization is forwarded here as an engine for high resolution tandem mass spectrometry in a high-throughput setting. Three basic strategies for MS/MS of ions >10 kDa are illustrated by identification and characterization of proteins from stationary-phase yeast cells. From samples containing 1–13 proteins, introduced by a nanospray robot, 2–6 can be isolated automatically and fragmented in 15–45 min. Features used commonly for peptide analyses (e.g., multidimensional separations, data dependent acquisition, and probability-based protein identification) are now available in an off-line top-down platform. In one set of 9 samples, 20 proteins (6–17 kDa) were processed through the platform yielding a mean P score =0.002 (99.8% identification confidence) upon database retrieval with characterization of N-terminal post-translational modifications. On occasion of his 60th birthday, we offer this work in celebration of the steadily advancing technology that Alan Marshall helped to invent (now in over 400+ labs worldwide).

For localization of deuterium atoms after solution-phase exchange with D2O, intact proteins are often digested prior to analysis by mass spectrometry (MS) and tandem MS (MS/MS). Amelioration of limitations associated with this approach (e.g.

Top-down mass spectrometry (MS) has emerged as a powerful complement to peptide-based proteomics. Despite advancements, the field has had limited application to clinical proteomics investigations due to the complexity and poor dynamic range of chromatography used to separate intact proteins from tissue and biofluids. To address these limitations, we developed a two-dimensional (2D) chromatography platform that includes isoelectric focusing (IEF) through immobilized pH gradient and superficially porous liquid chromatography (SPLC). Analysis of standard proteins demonstrates compatibility of IEF-SPLC processing and high resolving-power MS analysis with results showing ~7.0 femtomole detection limits and linear spectral response for proteins fractionated over ~4 log sample loads. For proteins from heart myofibrils and cerebrospinal fluid (CSF), compared to one-dimensional SPLC-MS, the 2D IEF-SPLC-MS platform resulted in a 5-6× increase in the number of unique monoisotopic masses observed30 kDa and an ~4× improved mass range enabling the observation of proteins200 kDa. In the heart myofibrils, common protein proteoforms observed were associated with phosphorylation of contractile proteins with results showing that quantitative evaluation of their PTM stoichiometry was possible despite differentially modified forms being fractionated into separate pI compartments. In CSF, diverse protein mutations and PTM classes were also observed, including differentially glycosylated protein forms separated to different pI. Results also demonstrate that by the generation of IEF-SPLC protein libraries by fraction collection, the platform enables prospective protein identification and proteoform analysis investigations by complementary top-down and bottom-up strategies. Overall, the 2D platform presented may provide the speed, dynamic range, and detection limits necessary for routine characterization of proteoform-based biomarkers from biofluids and tissues.

Lipocalin-type prostaglandin D-synthase (L-PGDS) in cerebrospinal fluid contributes to the maturation and maintenance of the CNS. L-PGDS PTMs may contribute to pathobiology of different CNS diseases, but methods to monitor its proteoforms are limited. Herein, we combined off-gel IEF and superficially porous LC (SPLC) with Fourier transform MS to characterize common cerebrospinal fluid L-PGDS proteoforms. Across 3D physiochemical space (pI, hydrophobicity, and mass), 217 putative proteoforms were observed from 21 to 24 kDa and pI 5-10. Glycoprotein accurate mass information, combined with MS/MS analysis of peptides generated from 2D-fractionated proteoforms, enabled the putative assignment of 208 proteoforms with varied PTM positional occupants. Fifteen structurally related N-glycans at N29 and N56 were observed, with different N-glycan compositional variants being preferred on each amino acid. We also observed that sialic acid content was a major factor for pI shifts between L-PGDS proteoforms. Other putative PTMs characterized include a core-1 HexHexNAc-O-glycan at S7, acetylation at K16 and K138, sulfonation at S41 and T142, and dioxidation at C43 and C145. The IEF-SPLC-MS platform presented provides 30-40× improved peak capacity versus conventional 2DE and shows potential for repeatable proteoform analysis of surrogate PTM-based biomarkers.

Glycosylation is increasingly recognized as a common and biologically significant post-translational modification of proteins. Modern mass spectrometry methods offer the best ways to characterize the glycosylation state of proteins. Both glycobiology and mass spectrometry rely on specialized nomenclature, techniques, and knowledge, which pose a barrier to entry by the nonspecialist. This introductory chapter provides an overview of the fundamentals of glycobiology, mass spectrometry methods, and the intersection of the two fields. Foundational material included in this chapter includes a description of the biological process of glycosylation, an overview of typical glycoproteomics workflows, a description of mass spectrometry ionization methods and instrumentation, and an introduction to bioinformatics resources. In addition to providing an orientation to the contents of the other chapters of this volume, this chapter cites other important works of potential interest to the practitioner. This overview, combined with the state-of-the-art protocols contained within this volume, provides a foundation for both glycobiologists and mass spectrometrists seeking to bridge the two fields.

Top-down mass spectrometry differs from the traditional bottom-up approach in that proteins are analyzed directly rather than enzymatically digested prior to analysis. Although the bottom-up approach tends to be faster and more readily implemented, the top-down approach has improved selectivity that enables simultaneous characterization of dynamic and hard-to-predict events such as coding polymorphisms, alternative splicing, and post-translational modifications, promising a clearer picture of biological variation that exists beyond gene translation. With the maturation of multidimensional sample processing procedures, data analysis tools, and “online” liquid chromatography and high-resolution mass spectrometry (LC/MS) technologies, top-down for proteomics investigations has emerged with sensitivity and dynamic range typically associated with peptide workflows. Top-down and bottom-up often provide complementary information; therefore, as the instrumentation used for bottom-up and top-down continues to merge, top-down is becoming more accessible to the general scientific community, allowing scientists to gain a more complete understanding of dynamic living systems.

Acknowledgments Funding was provided by a National Science Foundation Predoctoral Fellowship (Grant No. 1000136529 to L.C.), the Welch Foundation (I-1770 to D.M.R, I-1544 to M.K.R., I-1424 to K.H.G.), the Searle Scholars Program (D.M.R), a Packard Foundation Fellowship (D.M.R), the National Institutes of Health (T32 GM008297 supporting J.Z., R01 GM106239 to K.H.G., R01GM56322 to M.K.R.) and the Howard Hughes Medical Institute (M.K.R.). NMR spectroscopy at UTSW is supported by NIH instrumentation grants 1S10RR26461-1 and 1S10OD018027-01.

Glycosylation is increasingly recognized as a common and biologically significant post-translational modification of proteins. Modern mass spectrometry methods offer the best ways to characterize the glycosylation state of proteins. Both glycobiology and mass spectrometry rely on specialized nomenclature, techniques, and knowledge, which pose a barrier to entry by the nonspecialist. This introductory chapter provides an overview of the fundamentals of glycobiology, mass spectrometry methods, and the intersection of the two fields. Foundational material included in this chapter includes a description of the biological process of glycosylation, an overview of typical glycoproteomics workflows, a description of mass spectrometry ionization methods and instrumentation, and an introduction to bioinformatics resources. In addition to providing an orientation to the contents of the other chapters of this volume, this chapter cites other important works of potential interest to the practitioner. This overview, combined with the state-of-the-art protocols contained within this volume, provides a foundation for both glycobiologists and mass spectrometrists seeking to bridge the two fields.

Coupling immunoassays on self-assembled monolayers (SAMs) to matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) provides improved assay selectivity compared with traditional photometric detection techniques. We show that thin-layer-transfer (TLT) of α-cyano-4-hydroxycinnaminic acid (CHCA) MALDI matrix via vacuum sublimation followed by organic solvent-based vapor-sorption induced co-crystallization (VIC) results in unique matrix/analyte co-crystallization tendencies that optimizes assay reproducibility and sensitivity. Unique matrix crystal morphologies resulted from VIC solvent vapors, indicating nucleation and crystal growth characteristics depend upon VIC parameters. We observed that CHCA microcrystals generated by methanol VIC resulted in >10× better sensitivity, increased analyte charging, and improved precision compared with dried droplet measurements. The uniformity of matrix/analyte co-crystallization across planar immunoassays directed at intact proteins yielded low spectral variation for single shot replicates (18.5 % relative standard deviation, RSD) and signal averaged spectra (

Immunoassays are widely used in biochemical/clinical laboratories owing to their simplicity, speed, and sensitivity. We combined self-assembled monolayer-based immunoassays with MALDI-TOF MS to show that high-fidelity surface preparations with a novel matrix deposition/crystallization technique permits quantitative analysis of monolayer-bound antigens at picomolar detection limits. Calibration curves for intact proteins are possible over a broad concentration range and improved specificity of MS-immunoassays is highlighted by simultaneous label-free quantitation of ligand-bound protein complexes.

The compatibility of superficially porous (SP) resin for label-free intact protein analysis with online capillary LC/MS is demonstrated to give improved chromatographic resolution, sensitivity, and reproducibility. The robustness of the platform was measured against several samples of varying complexity and sample loading amount. The results indicate that capillary SP columns provide high loading capacities and that ∼6 s chromatographic peak widths are typical for standard proteins in simple mixtures and proteins isolated from cell and tissue lysates. Subfemtomole detection limits for standard proteins were consistently observed, with the lowest levels at 12 amol for ubiquitin. The analysis of total heart homogenates shows that capillary SP columns provide theoretical peak capacity of 106 protein forms with 30 min total analysis time and enabled detection of proteins from complex mixtures with a single high-resolution scan. The SPLC/MS platform also detected 343 protein forms from two HeLa acid extract replicate analyses that consumed 5 × 10(4) cells and 30 min analysis time, each. Comparison of all the species observed in each HeLa replicate showed 90% overlap (309 forms) with a Pearson correlation coefficient of 89.9% for the common forms observed in the replicates. Efficient acid extract of 1 × 10(4) HeLa cells allowed reproducible detection of common modification states and members from all five of the histone families and demonstrated that capillary SPLC/MS supports reproducible label-free profiling of histones in15 min total analysis time. The data presented demonstrate that a capillary LC/MS platform utilizing superficially porous stationary phase and a LTQ-Orbitrap FT-MS is fast, sensitive, and reproducible for intact protein profiling from small tissue and cell amounts.

Terminal sialic acid residues often mediate the interactions of cell surface glycoconjugates. Sialic acid-dependent interactions typically exhibit rapid dissociation rates, precluding the use of traditional biological techniques for complex isolation. To stabilize these transient interactions, we employ a targeted photo-cross-linking approach in which a diazirine photo-cross-linker is incorporated into cell surface sialylated glycoconjugates through the use of metabolic oligosaccharide engineering. We describe three diazirine-modified N-acetylmannosamine (ManNAc) analogues in which the length of the linker between the pyranose ring and the diazirine was varied. These analogues were each metabolized to their respective sialic acid counterparts, which were added to both glycoproteins and glycolipids. Diazirine-modified sialic acid analogues could be incorporated into both α2-3 and α2-6 linkages. Upon exposure to UV irradiation, diazirine-modified glycoconjugates were covalently cross-linked to their interaction partners. We demonstrate that all three diazirine-modified analogues were capable of competing with endogeneous sialic acid, albeit to varying degrees. We found that larger analogues were less efficiently metabolized, yet could still function as effective cross-linkers. Notably, the addition of the diazirine substituent interferes with metabolism of ManNAc analogues to glycans other than sialosides, providing fidelity to selectively incorporate the cross-linker into sialylated molecules. These compounds are nontoxic and display only minimal growth inhibition at the concentrations required for cross-linking studies. This report provides essential information for the deployment of photo-cross-linking analogues to capture and study ephemeral, yet essential, sialic acid-mediated interactions.

This paper reports a method that combines self-assembled monolayers with matrix assisted laser desorption-ionization time-of-flight mass spectrometry to perform immunoassays on clinical samples. The immunosensors are prepared by immobilizing his-tagged Protein G (or A) to a monolayer presenting the Ni2+ chelates, followed by immobilization of IgG antibodies with specificity for the intended analyte. The SAMDI mass spectrometry technique confirms the presence of the two proteins on the immunosensor and additionally provides a label-free analysis of antigens that bind to the sensor. This paper reports examples of detecting several proteins from human serum, including multi-analyte assays that resolve each analyte according to their mass-to-charge ratio in the SAMDI spectra. An example is described wherein SAMDI is used to identify a proteolytic fragment of cystatin C in cerebral spinal fluids from patients diagnosed with multiple sclerosis and control patients. The SAMDI-TOF immunoassay, which combines well defined surface chemistries for the selective and reproducible localization of analytes with mass spectrometry for label-free detection of analytes, may offer an alternative methodology to address many of the issues associated with standardized clinical diagnostics.

A fragmentation geometry based upon axial acceleration of m/z-selected protein ions into a linear octopole ion trap allowed simultaneous production and external accumulation of fragment ions prior to m/z measurement in a FT mass spectrometer. Improved dynamic range resulting from this octopole collisionally activated dissociation resulted in a 2.5× increase in experimental throughput and a 2× increase in fragment ion matches to gene products identified and characterized in the top down fashion. The acceleration voltage for optimal fragmentation has a m/z and mass dependence, knowledge of which facilitated an automated platform for top down MS/MS on a quadrupole FT hybrid mass spectrometer. Controlled by improved software for data acquisition (e.g. using dynamic exclusion of previously identified species), automated octopole collisionally activated dissociation of samples fractionated using chromatofocusing and reversed-phase liquid chromatography achieved a significant increase in protein identification rate versus previous benchmarks. Also a batch analysis version of ProSight PTM facilitated probability-based identification of intact proteins obtained in a higher throughput fashion. In total, 101 unique proteins (5–59 kDa) were identified from whole cell lysates of Methanosarcina acetivorans grown anaerobically, including the characterization of several mispredicted start sites and biologically relevant mass discrepancies.

Complete coverage of protein primary structure is demonstrated for 37 yeast protein forms between 6 and 30 kDa in an improved platform for Top Down mass spectrometry (MS). Tandem mass spectrometry (MS/MS) for protein identification with 100% sequence coverage is achieved in a highly automated fashion with 15-300-fold less sample amounts than an initial report of a proteome fractionation approach employing preparative gel electrophoresis with an acid-labile surfactant to facilitate reversed phase separation in a second dimension. Using a quadrupole-enhanced Fourier Transform Ion Cyclotron Resonance Mass Spectrometer (FTICRMS) improves the dynamic range for protein detection by approximately 50-fold and MS/MS by approximately 30-fold. The technology development illustrated here typifies an accelerating effort to detect whole proteins in a more general and higher throughput fashion for improved biomarker identification and detection of diverse post-translational modifications. Capillary RPLC is used in both off-line and on-line modes, with one on-line LC/FTMS sample providing 25 observed protein forms from 11 to 22 kDa.

For improved detection of diverse posttranslational modifications (PTMs), direct fragmentation of protein ions by top down mass spectrometry holds promise but has yet to be achieved on a large scale. Using lysate from Saccharomyces cerevisiae, 117 gene products were identified with 100% sequence coverage revealing 26 acetylations, 1 N-terminal dimethylation, 1 phosphorylation, 18 duplicate genes, and 44 proteolytic fragments. The platform for this study combined continuous-elution gel electrophoresis, reversed-phase liquid chromatography, automated nanospray coupled with a quadrupole-FT hybrid mass spectrometer, and a new search engine for querying a custom database. The proteins identified required no manual validation, ranged from 5 to 39 kDa, had codon biases from 0.93 to 0.083, and were primarily associated with glycolysis and protein synthesis. Illustrations of gene-specific identifications, PTM detection and subsequent PTM localization (using either electron capture dissociation or known PTM data stored in a database) show how larger scale proteome projects incorporating top down may proceed in the future using commercial Q-FT instruments.

For more complete characterization of DNA-predicted proteins (including their posttranslational modifications) a “top-down” approach using high-resolution tandem MS is forwarded here by its application to methanogens in both hypothesis-driven and discovery modes, with the latter dependent on new automation benchmarks for intact proteins. With proteins isolated from ribosomes and whole-cell lysates of Methanococcus jannaschii (≈1,800 genes) using a 2D protein fractionation method, 72 gene products were identified and characterized with 100% sequence coverage via automated fragmentation of intact protein ions in a custom quadrupole/Fourier transform hybrid mass spectrometer. Three incorrect start sites and two modifications were found, with one of each determined for MJ0556, a 20-kDa protein with an unknown methylation at ≈50% occupancy in stationary phase cells. The separation approach combined with the quadrupole/Fourier transform hybrid mass spectrometer allowed targeted and efficient comparison of histones from M. jannaschii , Methanosarcina acetivorans (largest Archaeal genome, 5.8 Mb), and yeast. This finding revealed a striking difference in the posttranslational regulation of DNA packaging in Eukarya vs. the Archaea. This study illustrates a significant evolutionary step for the MS tools available for characterization of WT proteins from complex proteomes without proteolysis.