Increased Coverage in the Transmembrane Domain with Activated-Ion Electron Capture Dissociation for Top-Down Fourier-Transform Mass Spectrometry of Integral Membrane Proteins

The c-subunit of ATP synthase (AtpH) is an 8 kD integral membrane protein with two transmembrane domains; we set out to demonstrate it amenable to top-down electrospray-ionization Fourier-transform mass spectrometry (FT−MS) using both collision activated and electron capture dissociation (CAD/ECD). Thermal activation concomitant with electron delivery was necessary for efficient ECD (activated-ion ECD; aiECD), yielding complementary information and greater sequence coverage in the transmembrane domains in comparison with CAD. Keywords: electrospray-ionization mass spectrometry (ESI-MS) • Fourier-transform mass spectrometry (FT−MS) • Fourier-transform ion cyclotron resonance (FTICR) • collision activated dissociation (CAD) • electron capture dissociation (ECD) • activated-ion ECD (aiECD) • infrared multiphoton dissociation (IRMPD) • thylakoid membrane • membrane protein • ATP synthas

Increased Coverage in the Transmembrane Domain with Activated-Ion Electron Capture Dissociation for Top-Down Fourier-Transform Mass Spectrometry of Integral Membrane Proteins

The c-subunit of ATP synthase (AtpH) is an 8 kD integral membrane protein with two transmembrane domains; we set out to demonstrate it amenable to top-down electrospray-ionization Fourier-transform mass spectrometry (FT−MS) using both collision activated and electron capture dissociation (CAD/ECD). Thermal activation concomitant with electron delivery was necessary for efficient ECD (activated-ion ECD; aiECD), yielding complementary information and greater sequence coverage in the transmembrane domains in comparison with CAD. Keywords: electrospray-ionization mass spectrometry (ESI-MS) • Fourier-transform mass spectrometry (FT−MS) • Fourier-transform ion cyclotron resonance (FTICR) • collision activated dissociation (CAD) • electron capture dissociation (ECD) • activated-ion ECD (aiECD) • infrared multiphoton dissociation (IRMPD) • thylakoid membrane • membrane protein • ATP synthas

Increased Coverage in the Transmembrane Domain with Activated-Ion Electron Capture Dissociation for Top-Down Fourier-Transform Mass Spectrometry of Integral Membrane Proteins

The c-subunit of ATP synthase (AtpH) is an 8 kD integral membrane protein with two transmembrane domains; we set out to demonstrate it amenable to top-down electrospray-ionization Fourier-transform mass spectrometry (FT−MS) using both collision activated and electron capture dissociation (CAD/ECD). Thermal activation concomitant with electron delivery was necessary for efficient ECD (activated-ion ECD; aiECD), yielding complementary information and greater sequence coverage in the transmembrane domains in comparison with CAD. Keywords: electrospray-ionization mass spectrometry (ESI-MS) • Fourier-transform mass spectrometry (FT−MS) • Fourier-transform ion cyclotron resonance (FTICR) • collision activated dissociation (CAD) • electron capture dissociation (ECD) • activated-ion ECD (aiECD) • infrared multiphoton dissociation (IRMPD) • thylakoid membrane • membrane protein • ATP synthas

Performance of a Linear Ion Trap-Orbitrap Hybrid for Peptide Analysis

Proteomic analysis of digested complex protein mixtures has become a useful strategy to identify proteins involved in biological processes. We have evaluated the use of a new mass spectrometer that combines a linear ion trap and an Orbitrap to create a hybrid tandem mass spectrometer. A digested submandibular/sublingual saliva sample was used for the analysis. We find the instrument is capable of mass resolution in excess of 40 000 and mass measurement accuracies of less than 2 ppm for the analysis of complex peptide mixtures. Such high mass accuracy allowed the elimination of virtually any false positive peptide identifications, suggesting that peptides that do not match the specificity of the protease used in the digestion of the sample should not automatically be considered as false positives. Tandem mass spectra from the linear ion trap and from the Orbitrap have very similar ion abundance ratios. We conclude this instrument will be well suited for shotgun proteomic types of analyses

Novel Real-Time Library Search Driven Data Acquisition Strategy for Identification and Characterization of Metabolites

Structural characterization of novel metabolites in drug discovery or metabolomics is one of the most challenging tasks. Multilevel fragmentation (MSn) based approaches combined with various dissociation modes are frequently utilized for facilitating structure assignment of unknown compounds. As each of the MS precursors undergoes MSn, the instrument cycle time can limit the total number of precursors analyzed in a single LC run for complex samples. This necessitates splitting data acquisition into several analyses to target lower concentration analytes in successive experiments. Here we present a new LC/MS data acquisition strategy, termed Met-IQ, where the decision to perform an MSn acquisition is automatically made in real time based on the similarity between the experimental MS2 spectrum and a spectrum in a reference spectral library for the known compounds of interest. If similarity to a spectrum in the library is found, the instrument performs a decision-dependent event, such as an MS3 spectrum. Compared to an intensity-based, data-dependent MSn experiment, only a limited number of MS3 are triggered using Met-IQ, increasing the overall MS2 instrument sampling rate. We applied this strategy to an Amprenavir sample incubated with human liver microsomes. The number of MS2 spectra increased 2-fold compared to a data dependent experiment where MS3 was triggered for each precursor, resulting in identification of 14–34% more unique potential metabolites. Furthermore, the MS2 fragments were selected to focus likely sources of useful structural information, specifically higher mass fragments to maximize acquisition of MS3 data relevant for structure assignment. The described Met-IQ strategy is not limited to metabolism experiments and can be applied to analytical samples where the detection of unknown compounds structurally related to a known compound(s) is sought

Evaluation of Front-End Higher Energy Collision-Induced Dissociation on a Benchtop Dual-Pressure Linear Ion Trap Mass Spectrometer for Shotgun Proteomics

We report the implementation of front-end higher energy collision-induced dissociation (fHCD) on a benchtop dual-pressure linear ion trap. Software and hardware modifications were employed, described in detail vide-infra, to allow isolated ions to undergo collisions with ambient gas molecules in an intermediate multipole (q00) of the instrument. Results comparing the performance of fHCD and resonance excitation collision-induced dissociation (RE-CID) in terms of injection time, total number of scans, efficiency, mass measurement accuracy (MMA), unique peptide identifications, and spectral quality of labile modified peptides are presented. fHCD is approximately 23% as efficient as RE-CID, and depending on the search algorithm, it identifies 6.6% more or 15% less peptides (<i>q</i> < 0.01) from a soluble whole-cell lysate (Caenorhabditis elegans) than RE-CID using Mascot or Sequest search algorithms, respectively. fHCD offers a clear advantage for the analysis of phosphorylated and glycosylated (O-GlcNAc) peptides as the average cross-correlation score (XCorr) for spectra using fHCD was statistically greater (<i>p</i> < 0.05) than for spectra collected using RE-CID

Benchmarking Multiple Fragmentation Methods on an Orbitrap Fusion for Top-down Phospho-Proteoform Characterization

Top-down analysis of intact proteins by mass spectrometry provides an ideal platform for comprehensive proteoform characterization, in particular, for the identification and localization of post-translational modifications (PTM) co-occurring on a protein. One of the main bottlenecks in top-down proteomics is insufficient protein sequence coverage caused by incomplete protein fragmentation. Based on previous work on peptides, increasing sequence coverage and PTM localization by combining sequential ETD and HCD fragmentation in a single fragmentation event, we hypothesized that protein sequence coverage and phospho-proteoform characterization could be equally improved by this new dual fragmentation method termed EThcD, recently been made available on the Orbitrap Fusion. Here, we systematically benchmark the performance of several (hybrid) fragmentation methods for intact protein analysis on an Orbitrap Fusion, using as a model system a 17.5 kDa N-terminal fragment of the mitotic regulator Bora. During cell division Bora becomes multiply phosphorylated by a variety of cell cycle kinases, including Aurora A and Plk1, albeit at distinctive sites. Here, we monitor the phosphorylation of Bora by Aurora A and Plk1, analyzing the generated distinctive phospho-proteoforms by top-down fragmentation. We show that EThcD and ETciD on a Fusion are feasible and capable of providing richer fragmentation spectra compared to HCD or ETD alone, increasing protein sequence coverage, and thereby facilitating phosphosite localization and the determination of kinase specific phosphorylation sites in these phospho-proteoforms. Data are available via ProteomeXchange with identifier PXD001845

Deep Proteomic Compound Profiling with the Orbitrap Ascend Tribrid Mass Spectrometer Using Tandem Mass Tags and Real-Time Search

Tandem mass tags (TMT) and tribrid mass spectrometers are a powerful combination for high-throughput proteomics with high quantitative accuracy. Increasingly, this technology is being used to map the effects of drugs on the proteome. However, the depth of proteomic profiling is still limited by sensitivity and speed. The new Orbitrap Ascend mass spectrometer was designed to address these limitations with a combination of hardware and software improvements. We evaluated the performance of the Ascend in multiple contexts including deep proteomic profiling. We found that the Ascend exhibited increased sensitivity, yielding higher signal-to-noise ratios than the Orbitrap Eclipse with shorter injection times. As a result, higher numbers of peptides and proteins were identified and quantified, especially with low sample input. TMT measurements had significantly improved signal-to-noise ratios, improving quantitative precision. In a fractionated 16plex sample that profiled proteomic differences across four human cell lines, the Ascend was able to quantify hundreds more proteins than the Eclipse, many of them low-abundant proteins, and the Ascend was able to quantify >8000 proteins in 30% less instrument time. We used the Ascend to analyze 8881 proteins in HCT116 cancer cells treated with covalent sulfolane/sulfolene inhibitors of peptidyl-prolyl cis–trans isomerase NIMA-interacting 1 (PIN1), a phosphorylation-specific peptidyl-prolyl cis–trans isomerase implicated in several cancers. We characterized these PIN1 inhibitors’ effects on the proteome and identified discrepancies among the different compounds, which will facilitate a better understanding of the structure–activity relationship of this class of compounds. The Ascend was able to quantify statistically significant, potentially therapeutically relevant changes in proteins that the Eclipse could not detect

Benchmarking the Orbitrap Tribrid Eclipse for Next Generation Multiplexed Proteomics

The rise of sample multiplexing in quantitative proteomics for the dissection of complex phenotypic comparisons has been advanced by the development of ever more sensitive and robust instrumentation. Here, we evaluated the utility of the Orbitrap Eclipse Tribrid mass spectrometer (advanced quadrupole filter, optimized FTMS scan overhead) and new instrument control software features (Precursor Fit filtering, TurboTMT and Real-time Peptide Search filtering). Multidimensional comparisons of these novel features increased total peptide identifications by 20% for SPS-MS3 methods and 14% for HRMS2 methods. Importantly Real-time Peptide Search filtering enabled a ∼2× throughput improvement for quantification. Across the board, these sensitivity increases were attained without sacrificing quantitative accuracy. New hardware and software features enable more efficient characterization in pursuit of comparative whole proteome insights