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.

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.

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.

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.

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.

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.

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 (

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.

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.