Characterization Of Proteoforms Research Articles

Online mass spectrometry of CE (SDS)-separated proteins by two-dimensional capillary electrophoresis.

Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) is the fundamental technique for protein separation by size. Applying this technology in capillary format, gaining high separation efficiency in a more automated way, is a key technology for size separation of proteins in the biopharmaceutical industry. However, unequivocal identification by online mass spectrometry (MS) is impossible so far, due to strong interference in the electrospray process by SDS and other components of the SDS-MW separation gel buffer. Here, a heart-cut two-dimensional electrophoretic separation system applying an electrically isolated valve with an internal loop of 20nL is presented. The peak of interest in the CE (SDS) separation is transferred to the CZE-MS, where electrospray-interfering substances of the SDS-MW gel are separated prior to online electrospray ionization mass spectrometry. An online SDS removal strategy for decomplexing the protein-SDS complex is implemented in the second dimension, consisting of the co-injection of organic solvent and cationic surfactant. This online CE (SDS)-CZE-MS system allows MS characterization of proteoforms separated in generic CE (SDS), gaining additional separation in the CZE and detailed MS information. In general, the system can be applied to all kinds of proteins separated by CE (SDS). Here, we present results of the CE (SDS)-CZE-MS system on the analysis of several biopharmaceutically relevant antibody impurities and fragments. Additionally, the versatile application spectrum of the system is demonstrated by the analysis of extracted proteins from soybean flour. The online hyphenation of CE (SDS) resolving power and MS identification capabilities will be a powerful tool for protein and mAb characterization. Graphical abstract Two-dimensional capillary electrophoresis system hyphenated with mass spectrometry for the characterization of CE (SDS)-separated proteins. As first dimension, a generic and high MS-interfering CE (SDS) separation is performed for size separation. After heart-cut transfer of the unknown CE (SDS) protein peak, via a four-port nanoliter valve to a volatile electrolyte system as second dimension, interference-free mass spectrometric data of separated mAb fragments and soybean proteins are obtained.

Cracking Proteoform Complexity of Ovalbumin with Anion-Exchange Chromatography-High-Resolution Mass Spectrometry under Native Conditions.

Posttranslational modifications of proteins play fundamental roles in protein function in health and disease. More than 600 different types of posttranslational modifications are known, many of them being of extremely low abundance, causing subtle changes in physicochemical properties and posing an extreme challenge to analytical methods required for their characterization. Here, we report the development of a novel pH gradient-based anion-exchange chromatography method, which can be directly interfaced to Orbitrap-based mass spectrometry for the comprehensive characterization of proteoforms at the intact protein level under native conditions. The analysis of four different proteins demonstrates outstanding chromatographic selectivity, while the mass spectra obtained are of excellent quality enabling the identification of proteoforms, including near isobaric variants, spanning 4 orders of magnitude in abundance. An in-depth analysis of ovalbumin from chicken egg white yields the identification and relative quantification of more than 150 different proteoforms, including fragmented and dimeric forms. More than 20 different ovalbumin charge variants together with their glycoform distributions are identified and quantified, many of which have not been reported previously.

Characterization of Contractile Proteins from Skeletal Muscle Using Gel-Based Top-Down Proteomics.

The mass spectrometric analysis of skeletal muscle proteins has used both peptide-centric and protein-focused approaches. The term ‘top-down proteomics’ is often used in relation to studying purified proteoforms and their post-translational modifications. Two-dimensional gel electrophoresis, in combination with peptide generation for the identification and characterization of intact proteoforms being present in two-dimensional spots, plays a critical role in specific applications of top-down proteomics. A decisive bioanalytical advantage of gel-based and top-down approaches is the initial bioanalytical focus on intact proteins, which usually enables the swift identification and detailed characterisation of specific proteoforms. In this review, we describe the usage of two-dimensional gel electrophoretic top-down proteomics and related approaches for the systematic analysis of key components of the contractile apparatus, with a special focus on myosin heavy and light chains and their associated regulatory proteins. The detailed biochemical analysis of proteins belonging to the thick and thin skeletal muscle filaments has decisively improved our biochemical understanding of structure-function relationships within the contractile apparatus. Gel-based and top-down proteomics has clearly established a variety of slow and fast isoforms of myosin, troponin and tropomyosin as excellent markers of fibre type specification and dynamic muscle transition processes.

Accurate Estimation of Context-Dependent False Discovery Rates in Top-Down Proteomics

Within the last several years, top-down proteomics has emerged as a high throughput technique for protein and proteoform identification. This technique has the potential to identify and characterize thousands of proteoforms within a single study, but the absence of accurate false discovery rate (FDR) estimation could hinder the adoption and consistency of top-down proteomics in the future. In automated identification and characterization of proteoforms, FDR calculation strongly depends on the context of the search. The context includes MS data quality, the database being interrogated, the search engine, and the parameters of the search. Particular to top-down proteomics-there are four molecular levels of study: proteoform spectral match (PrSM), protein, isoform, and proteoform. Here, a context-dependent framework for calculating an accurate FDR at each level was designed, implemented, and validated against a manually curated training set with 546 confirmed proteoforms. We examined several search contexts and found that an FDR calculated at the PrSM level under-reported the true FDR at the protein level by an average of 24-fold. We present a new open-source tool, the TDCD_FDR_Calculator, which provides a scalable, context-dependent FDR calculation that can be applied post-search to enhance the quality of results in top-down proteomics from any search engine.

A Top-Down Proteomics Platform Coupling Serial Size Exclusion Chromatography and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry.

Mass spectrometry (MS) based top-down proteomics provides rich information about proteoforms arising from combinatorial amino acid sequence variations and post-translational modifications (PTMs). Fourier transform ion cyclotron resonance (FT-ICR) MS affords ultrahigh resolving power and provides high-accuracy mass measurements, presenting a powerful tool for top-down MS characterization of proteoforms. However, the detection and characterization of large proteins from complex mixtures remain challenging due to the exponential decrease in S: N with increasing molecular weight (MW) and coeluting low-MW proteins; thus, size-based fractionation of complex protein mixtures prior to MS analysis is necessary. Here, we directly combine MS-compatible serial size exclusion chromatography (sSEC) fractionation with 12 T FT-ICR MS for targeted top-down characterization of proteins from complex mixtures extracted from human and swine heart tissue. Benefiting from the ultrahigh resolving power of FT-ICR, we isotopically resolved 31 distinct proteoforms (30-50 kDa) simultaneously in a single mass spectrum within a 100 m/ z window. Notably, within a 5 m/ z window, we obtained baseline isotopic resolution for 6 distinct large proteoforms (30-50 kDa). The ultrahigh resolving power of FT-ICR MS combined with sSEC fractionation enabled targeted top-down analysis of large proteoforms (>30 kDa) from the human heart proteome without extensive chromatographic separation or protein purification. Further separation of proteoforms inside the mass spectrometer (in-MS) allowed for isolation of individual proteoforms and targeted electron capture dissociation (ECD), yielding high sequence coverage. sSEC/FT-ICR ECD facilitated the identification and sequence characterization of important metabolic enzymes. This platform, which facilitates deep interrogation of proteoform primary structure, is highly tunable, allows for adjustment of MS and MS/MS parameters in real time, and can be utilized for a variety of complex protein mixtures.

Large-scale Top-down Proteomics Using Capillary Zone Electrophoresis Tandem Mass Spectrometry.

Capillary zone electrophoresis-electrospray ionization-tandem mass spectrometry (CZE-ESI-MS/MS) has been recognized as a useful tool for top-down proteomics that aims to characterize proteoforms in complex proteomes. However, the application of CZE-MS/MS for large-scale top-down proteomics has been impeded by the low sample-loading capacity and narrow separation window of CZE. Here, a protocol is described using CZE-MS/MS with a microliter-scale sample-loading volume and a 90-min separation window for large-scale top-down proteomics. The CZE-MS/MS platform is based on a linear polyacrylamide (LPA)-coated separation capillary with extremely low electroosmotic flow, a dynamic pH-junction-based online sample concentration method with a high efficiency for protein stacking, an electro-kinetically pumped sheath flow CE-MS interface with extremely high sensitivity, and an ion trap mass spectrometer with high mass resolution and scan speed. The platform can be used for the high-resolution characterization of simple intact protein samples and the large-scale characterization of proteoforms in various complex proteomes. As an example, a highly efficient separation of a standard protein mixture and a highly sensitive detection of many impurities using the platform is demonstrated. As another example, this platform can produce over 500 proteoform and 190 protein identifications from an Escherichia coli proteome in a single CZE-MS/MS run.

A perspective view of top-down proteomics in snake venom research.

The venom produced by snakes contains complex mixtures of pharmacologically active proteins and peptides which play a crucial role in the pathophysiology of snakebite diseases. The deep understanding of venom proteomes can help to improve the treatment of this "neglected tropical disease" (as expressed by the World Health Organization [WHO]) and to develop new drugs. The most widely used technique for venom analysis is liquid chromatography/tandem mass spectrometry (LC/MS/MS)-based bottom-up (BU) proteomics. Considering the fact that multiple multi-locus gene families encode snake venom proteins, the major challenge for the BU proteomics is the limited sequence coverage and also the "protein inference problem" which result in a loss of information for the identification and characterization of toxin proteoforms (genetic variation, alternative mRNA splicing, single nucleotide polymorphism [SNP] and post-translational modifications [PTMs]). In contrast, intact protein measurements with top-down (TD) MS strategies cover almost complete protein sequences, and prove the ability to identify venom proteoforms and to localize their modifications and sequence variations.

Back Cover: Complementary middle-down and intact monoclonal antibody proteoform characterization by capillary zone electrophoresis - mass spectrometry

Back Cover: Complementary middle-down and intact monoclonal antibody proteoform characterization by capillary zone electrophoresis - mass spectrometry

The Value of Activated Ion Electron Transfer Dissociation for High-Throughput Top-Down Characterization of Intact Proteins.

High-throughput top-down proteomic experiments directly identify proteoforms in complex mixtures, making high quality tandem mass spectra necessary to deeply characterize proteins with many sources of variation. Collision-based dissociation methods offer expedient data acquisition but often fail to extensively fragment proteoforms for thorough analysis. Electron-driven dissociation methods are a popular alternative approach, especially for precursor ions with high charge density. Combining infrared photoactivation concurrent with electron transfer dissociation (ETD) reactions, i.e., activated ion ETD (AI-ETD), can significantly improve ETD characterization of intact proteins, but benefits of AI-ETD have yet to be quantified in high-throughput top-down proteomics. Here, we report the first application of AI-ETD to LC-MS/MS characterization of intact proteins (<20 kDa), highlighting improved proteoform identification the method offers over higher energy-collisional dissociation (HCD), standard ETD, and ETD followed by supplemental HCD activation (EThcD). We identified 935 proteoforms from 295 proteins from human colorectal cancer cell line HCT116 using AI-ETD compared to 1014 proteoforms, 915 proteoforms, and 871 proteoforms with HCD, ETD, and EThcD, respectively. Importantly, AI-ETD outperformed each of the three other methods in MS/MS success rates and spectral quality metrics (e.g., sequence coverage achieved and proteoform characterization scores). In all, this four-method analysis offers the most extensive comparisons to date and demonstrates that AI-ETD both increases identifications over other ETD methods and improves proteoform characterization via higher sequence coverage, positioning it as a premier method for high-throughput top-down proteomics.

Complementary middle-down and intact monoclonal antibody proteoform characterization by capillary zone electrophoresis - mass spectrometry.

High-resolution capillary zone electrophoresis - mass spectrometry (CZE-MS) has been of increasing interest for the analysis of biopharmaceuticals. In this work, a combination of middle-down and intact CZE-MS analyses has been implemented for the characterization of a biotherapeutic monoclonal antibody (mAb) with a variety of post-translational modifications (PTMs) and glycosylation structures. Middle-down and intact CZE separations were performed in an acidified methanol-water background electrolyte on a capillary with a positively charged coating (M7C4I) coupled to an Orbitrap mass spectrometer using a commercial sheathless interface (CESI). Middle-down analysis of the IdeS-digested mAb provided characterization of PTMs of digestion fragments. High resolution CZE enabled separation of charge variants corresponding to 2X-deamidated, 1X-deamidated, and non-deamidated forms at baseline resolution. In the course of the middle-down CZE-MS analysis, separation of glycoforms of the FC /2 fragment was accomplished due to hydrodynamic volume differences. Several identified PTMs were confirmed by CZE-MS2 . Incorporation of TCEP-HCl reducing agent in the sample solvent resulted in successful analysis of reduced forms without the need for alkylation. CZE-MS studies on the intact mAb under denaturing conditions enabled baseline separation of the 2X-glycosylated, 1X-glycosylated, and aglycosylated populations as a result of hydrodynamic volume differences. The presence of a trace quantity of dissociated light chain was also detected in the intact protein analysis. Characterization of the mAb under native conditions verified identifications achieved via intact analysis and allowed for quantitative confirmation of proteoforms. Analysis of mAbs using CZE-MS represents a complementary approach to the more conventional liquid-chromatography - mass spectrometry-based approaches.

Precise characterization of KRAS4b proteoforms in human colorectal cells and tumors reveals mutation/modification cross-talk

Mutations of the KRAS gene are found in human cancers with high frequency and result in the constitutive activation of its protein products. This leads to aberrant regulation of downstream pathways, promoting cell survival, proliferation, and tumorigenesis that drive cancer progression and negatively affect treatment outcomes. Here, we describe a workflow that can detect and quantify mutation-specific consequences of KRAS biochemistry, namely linked changes in posttranslational modifications (PTMs). We combined immunoaffinity enrichment with detection by top-down mass spectrometry to discover and quantify proteoforms with or without the Gly13Asp mutation (G13D) specifically in the KRAS4b isoform. The workflow was applied first to isogenic KRAS colorectal cancer (CRC) cell lines and then to patient CRC tumors with matching KRAS genotypes. In two cellular models, a direct link between the knockout of the mutant G13D allele and the complete nitrosylation of cysteine 118 of the remaining WT KRAS4b was observed. Analysis of tumor samples quantified the percentage of mutant KRAS4b actually present in cancer tissue and identified major differences in the levels of C-terminal carboxymethylation, a modification critical for membrane association. These data from CRC cells and human tumors suggest mechanisms of posttranslational regulation that are highly context-dependent and which lead to preferential production of specific KRAS4b proteoforms.

Multiplex Immuno-MALDI-TOF MS for Targeted Quantification of Protein Biomarkers and Their Proteoforms Related to Inflammation and Renal Dysfunction.

Circulating proteins are widely used as biomarkers in clinical applications for the diagnosis, prediction, and treatment of numerous diseases. Immunoassays are the most common technologies for quantification of protein biomarkers and exist in various formats. Traditional immunoassays offer sensitive and fast analyses but cannot differentiate between proteoforms. Protein microheterogeneity, mainly due to post-translational modification, has been recognized as a fingerprint for different pathologies, and knowledge about proteoforms is an important step toward personalized medicine. Mass spectrometry (MS) has emerged to be a powerful technique for the characterization and quantification of proteoforms. We have established a novel four-plex immunoassay based on Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight (MALDI-TOF) MS for the targeted quantification of the inflammatory markers C-reactive protein (CRP), serum amyloid A (SAA), and calprotectin (S100A8/9) and the kidney function marker cystatin C (CysC). Antibodies were covalently bound to superparamagnetic beads, which delivered robust and fast sample processing. Polyhistidine-tagged recombinant target proteins were used as internal standards for quantification. Our method identified a number of proteoforms for SAA ( n = 11), S100A8/9 ( n = 4) and CysC ( n = 4). The assay was characterized by low limits of detection (0.01-0.06 μg/mL) and low coefficients of variation (3.8-9.4%). Method validation demonstrated good between-assay agreement with immuno-turbidimetry ( R2 = 0.963 for CRP), ELISA ( R2 = 0.958 for SAA; R2 = 0.913 for S100A8/9), and nephelometry ( R2 = 0.963 for CysC). The low sample consumption of 20 μL and the high sample throughput of 384 samples per day make this targeted immuno-MALDI approach suited for assessment of inflammatory and renal status in large cohort studies based on precious biobanks samples.

Top-Down Characterization of Heavily Modified Histones Using 193 nm Ultraviolet Photodissociation Mass Spectrometry.

The characterization of protein post-translational modifications (PTMs) remains a significant challenge for traditional bottom-up proteomics methods owing to the lability of PTMs and the difficulty of mapping combinatorial patterns of PTMs based on analysis of small peptides. These shortcomings have accelerated interest in top-down MS/MS methods that focus on analysis of intact proteins. Simultaneous mapping of all PTMs requires extensive sequence coverage to confidently localize modifications. 193 nm ultraviolet photodissociation (UVPD) has been shown to generate unparalleled sequence coverage for intact proteins compared to traditional MS/MS methods. This study focuses on identification and localization of PTMs of histones by UVPD, higher-energy collisional dissociation (HCD), and the hybrid method electron-transfer/higher-energy collision dissociation (EThcD) via a high throughput liquid chromatography-mass spectrometry strategy. In total, over 500 proteoforms were characterized among these three activation methods with 46% of the identifications found in common by two or more activation methods. EThcD and UVPD afforded more extensive characterization of proteoforms than HCD with average gains in sequence coverage of 15% and C-scores that doubled on average.

Top-Down Proteomics: Ready for Prime Time?

In the post-genomics era, the study of proteins is critical for understanding cellular functions at the molecular level.1-5 Beyond the genetic code, the human proteome is greatly diversified by various genetic variations, alternative splicing of RNA transcripts, and post-translational modifi-cations (PTMs).6,7 In 2013, the term “proteoform” was designated to describe “all of the different molecular forms in which the protein product of a single gene can be found”,6 clearing up the confusion in nomenclature and joining research efforts to develop methodologies for pro-teoform characterization. Top-down proteomics, which analyzes intact proteins without digestion, has proved to be a premier technology for global and comprehensive analy-sis of proteoforms.4,8,9 The top-down approach retains in-tact protein mass information, providing a “bird’s-eye” view of the proteome and allowing for identification of novel proteoforms, in-depth sequence characterization, and quantification of disease-associated PTMs.4,8,9

Protein de novo sequencing by top-down and middle-down MS/MS: Limitations imposed by mass measurement accuracy and gaps in sequence coverage

With the increasing accessibility of Fourier transform (FT) mass spectrometers, top-down/middle-down MS/MS characterization of protein sequences is rapidly gaining popularity. Compared to conventional bottom-up sequencing, the top-down/middle-down approach offers the advantages of fast sample preparation and unambiguous characterization of proteoforms in a mixture. If the modified or mutated peptide segment of interest is not found or recovered with the bottom-up approaches, top-down becomes attractive relative to spending time seeking the right enzyme or chromatographic approach. Here, we discuss the potential and limitations of protein sequence analysis by top-down/middle-down MS/MS alone. Even if 100% protein sequence coverage is achieved by MS/MS, fragment mass error tolerance as low as 1 ppm or 0.5 ppm is needed to differentiate glutamine from lysine at positions not exceeding 330 amino acids (AAs) or 660 AAs from the N-/C-terminus for a protein with 660 AAs (72,760 Da) or 1320 AAs (145,520 Da). To characterize the “AA sequence gap” between two adjacent fragments, we show that the number of gap AA sequences with identical masses for di-, tri-, and tetra-AA gaps grows exponentially with increasing number of gap amino acids. If peptide fragment mass could be measured exactly (in practice, to 0.00001 Da), it would then be possible to define the overall atomic composition for the group of amino acids spanning a product ion gap 3–4 amino acids long. However, when we consider any 3–4 amino acid gap, we find that 50–75% of the possible compositions describe at least two sets of amino acids. Moreover, a next-generation protein fragment deconvolution algorithm is critical to exploit the experimentally observed high mass accuracy generated from the 21 T FT-ICR MS/MS for high confidence and high throughput top-down/middle-down analysis of proteins with unknown sequences. Finally, we show that de novo top-down/middle-down MS/MS can determine the germline sequence category for a given monoclonal antibody (mAb) and further serve to identify its novel mutations.

Continuous Elution Proteoform Identification of Myelin Basic Protein by Superficially Porous Reversed-Phase Liquid Chromatography and Fourier Transform Mass Spectrometry.

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.

High-Throughput Analysis of Intact Human Proteins Using UVPD and HCD on an Orbitrap Mass Spectrometer.

The analysis of intact proteins (top-down strategy) by mass spectrometry has great potential to elucidate proteoform variation, including patterns of post-translational modifications (PTMs), which may not be discernible by analysis of peptides alone (bottom-up approach). To maximize sequence coverage and localization of PTMs, various fragmentation modes have been developed to produce fragment ions from deep within intact proteins. Ultraviolet photodissociation (UVPD) has recently been shown to produce high sequence coverage and PTM retention on a variety of proteins, with increasing evidence of efficacy on a chromatographic time scale. However, utilization of UVPD for high-throughput top-down analysis to date has been limited by bioinformatics. Here we detected 153 proteins and 489 proteoforms using UVPD and 271 proteins and 982 proteoforms using higher energy collisional dissociation (HCD) in a comparative analysis of HeLa whole-cell lysate by qualitative top-down proteomics. Of the total detected proteoforms, 286 overlapped between the UVPD and HCD data sets, with 68% of proteoforms having C scores greater than 40 for UVPD and 63% for HCD. The average sequence coverage (28 ± 20% for UVPD versus 17 ± 8% for HCD, p < 0.0001) was found to be higher for UVPD than HCD and with a trend toward improvement in q value for the UVPD data set. This study demonstrates the complementarity of UVPD and HCD for more extensive protein profiling and proteoform characterization.

High-resolution ultrahigh-pressure long column reversed-phase liquid chromatography for top-down proteomics

Separation of proteoforms for global intact protein analysis (i.e. top-down proteomics) has lagged well behind what is achievable for peptides in traditional bottom-up proteomic approach and is becoming a true bottle neck for top-down proteomics. Herein, we report use of long (≥1M) columns containing short alkyl (C1-C4) bonded phases to achieve high-resolution RPLC for separation of proteoforms. At a specific operation pressure limit (i.e., 96.5MPa or 14Kpsi used in this work), column length was found to be the most important factor for achieving maximal resolution separation of proteins when 1.5–5μm particles were used as packings and long columns provided peak capacities greater than 400 for proteoforms derived from a global cell lysate with molecular weights below 50kDa. Larger proteoforms (50–110kDa) were chromatographed on long RPLC columns and detected by MS; however, they cannot be identified yet by tandem mass spectrometry. Our experimental data further demonstrated that long alkyl (e.g., C8 and C18) bonded particles provided high-resolution RPLC for <10kDa proteoforms, not efficient for separation of global proteoforms. Reversed-phase particles with porous, nonporous, and superficially porous surfaces were systematically investigated for high-resolution RPLC. Pore size (200–400Å) and the surface structure (porous and superficially porous) of particles was found to have minor influences on high-resolution RPLC of proteoforms. RPLC presented herein enabled confident identification of ∼900 proteoforms (1% FDR) for a low-microgram quantity of proteomic samples using a single RPLC–MS/MS analysis. The level of RPLC performance attained in this work is close to that typically realized in bottom-up proteomics, and broadly useful when applying e.g., the single-stage MS accurate mass tag approach, but less effective when combined with current tandem MS. Our initial data indicate that MS detection and fragmentation inefficiencies provided by current high-resolution mass spectrometers are key challenges for characterization of larger proteoforms.

Profiling of Histone Post-Translational Modifications in Mouse Brain with High-Resolution Top-Down Mass Spectrometry.

As histones play central roles in most chromosomal functions including regulation of DNA replication, DNA damage repair, and gene transcription, both their basic biology and their roles in disease development have been the subject of intense study. Because multiple post-translational modifications (PTMs) along the entire protein sequence are potential regulators of histones, a top-down approach, where intact proteins are analyzed, is ultimately required for complete characterization of proteoforms. However, significant challenges remain for top-down histone analysis primarily because of deficiencies in separation/resolving power and effective identification algorithms. Here we used state-of-the-art mass spectrometry and a bioinformatics workflow for targeted data analysis and visualization. The workflow uses ProMex for intact mass deconvolution, MSPathFinder as a search engine, and LcMsSpectator as a data visualization tool. When complemented with the open-modification tool TopPIC, this workflow enabled identification of novel histone PTMs including tyrosine bromination on histone H4 and H2A, H3 glutathionylation, and mapping of conventional PTMs along the entire protein for many histone subunits.

Identification and Characterization of Human Proteoforms by Top-Down LC-21 Tesla FT-ICR Mass Spectrometry.

Successful high-throughput characterization of intact proteins from complex biological samples by mass spectrometry requires instrumentation capable of high mass resolving power, mass accuracy, sensitivity, and spectral acquisition rate. These limitations often necessitate the performance of hundreds of LC-MS/MS experiments to obtain reasonable coverage of the targeted proteome, which is still typically limited to molecular weights below 30 kDa. The National High Magnetic Field Laboratory (NHMFL) recently installed a 21 T FT-ICR mass spectrometer, which is part of the NHMFL FT-ICR User Facility and available to all qualified users. Here we demonstrate top-down LC-21 T FT-ICR MS/MS of intact proteins derived from human colorectal cancer cell lysate. We identified a combined total of 684 unique protein entries observed as 3238 unique proteoforms at a 1% false discovery rate, based on rapid, data-dependent acquisition of collision-induced and electron-transfer dissociation tandem mass spectra from just 40 LC-MS/MS experiments. Our identifications included 372 proteoforms with molecular weights over 30 kDa detected at isotopic resolution, which substantially extends the accessible mass range for high-throughput top-down LC-MS/MS.