Journal of the American Society for Mass Spectrometry最新文献

The effectiveness of state-of-the-art cross-linking strategies and mass spectrometry (MS) detection was explored in an important biological context, namely, the ubiquitin-proteasome system, which is responsible for most of the regulated protein degradation in eukaryotic cells. The locations of possible binding sites on the S. cerevisiae 19S proteasome regulatory particle for Lys⁴⁸ linked polyubiquitin chains were examined using cross-linking strategies and MS based detection by comparing two types of cross-linkers: a (bis)-sulfosuccinimidyl suberate (BS³) and diethyl suberothioimidate (DEST). The well-established BS³-based strategy produced 328 cross-linked peptides; however, no ubiquitin-19S cross-links were observed. The recently developed DEST-based approach produced fewer (146) linkages overall, but these included six ubiquitin-19S cross-links. Some of these cross-links are predicted by the canonical view of ubiquitin recognition, but others suggest novel insights into how the proteasome recognizes its substrates. A discussion of these strategies and structural implications for polyubiquitin-proteasome binding is provided.

An inherent strength of hydrogen/deuterium exchange coupled to mass spectrometry (HDX-MS) is its ability to detect the presence of multiple conformational states of a protein, which often manifest as multimodal isotopic envelopes. However, the statistical considerations for accurate analysis of multimodal spectra have yet to be established. Here we outline an unrestrained binomial distribution fitting approach with the corresponding statistical tests to accurately detect and, when possible, deconvolute isotopic distributions that contain multiple subpopulations. The algorithms have been incorporated into an updated version of the freely available software, HX-Express, and validated using known mixtures of peptides deuterated to varying degrees. This approach presents a readily accessible tool to fit and interpret bimodal and trimodal behavior in HDX-MS data for mixed populations, EX1 kinetics, and pulse labeling data.

Isomerization of aspartic acid residues is a relevant degradation pathway of protein biopharmaceuticals as it can impair their biological activity. However, the in silico prediction of isomerization hotspots and their consequences remains ambiguous and misleading. We have previously shown that all ion differential analysis (AiDA) of middle-down spectra can be used to reveal diagnostic terminal and internal fragments with more sensitivity than the conventional fragment ion mass matching methodology. In this study, we use AiDA to characterize the degradation of an antibody fragment at three aspartic acid isomerization sites including a novel DW motif directly with electron-transfer/higher-energy collisional dissociation top-down and middle-down mass spectrometry. We show that AiDA methodology is pivotal to probe diagnostic fragmentation propensities of terminal c and z fragments at the N-terminus and vicinity of isomerization sites in addition to the diagnostic c+57 terminal fragments. Furthermore, AiDA can probe remote structural changes in the loop of an antibody complementarity-determining region induced by isomerization and the succinimide intermediate, revealing interactions between residues in agreement with molecular simulations. This study shows that aspartic acid residues at noncanonical DW and DF motifs can be hotspots for isomerization despite being ranked as false positives in physics-based prediction models. We show that the enzyme-free, fast, and sensitive AiDA methodology can be used as an orthogonal technique to fractionation for online variant characterization.

We extend our previous work on the energetics and mechanisms of fragmentation in the mass spectrometry of triacylglycerols (TAGs). Previously, we proposed viable mechanisms for the collision-induced fragmentation of lithiated tripropionylglycerol using triple-quadrupole mass spectrometry. In this work, we used a QqLIT mass spectrometer to study both double- and triple-stage spectra from a range of TAGs having acid chains of types AAA (identical acid chains), AAB, ABA, and ABC, with chain lengths of 6-18 carbon atoms; we also studied some TAGs having a single double bond in the Δ-9 position. Detailed computations on fragmentation pathways were carried out on lithiated trihexanoylglycerol and on a limited number of longer chain ions. Second-stage fragmentations led to the formation of a lithiated ion after the loss of a neutral acid. With a further input of energy, this ion could rearrange into two other ions, one being formed more easily than the other. In a triple-stage fragmentation, these three ions give a defined series of product ions, some of which are characteristic of the substitution pattern on the glycerol core of the TAG. Computed reaction energies for product ion formation showed comparable trends to the relative intensities of the observed product ion spectra. These results have enabled us to propose unified mechanisms for the double- and triple-stage fragmentation of lithiated TAGs. The mechanisms have reasonable energetics, and all ions, as well as saddle points, have viable geometries. In addition, the fragmentation mechanisms are in accord with all the published experimental mass spectra.

In this communication we report the construction of a printed circuit board which mounts directly to the vacuum chamber of a mass spectrometer and produces the RF waveforms needed by many nonmass-selective devices such as ion guides and ion funnels. Our device is designed to replace a standard KF40 flange, can maintain vacuum chamber pressures of less than 10^-6 Torr, and contains the circuitry of the open-source Wisconsin Oscillator RF power supply to generate RF waveforms of 1-4 MHz and up to 200 V_p-p. In this iteration of the Wisconsin Oscillator, we also introduce a variable resistor to control the output RF amplitude and show that its ion transmission capabilities are identical to those provided by commercial RF power supplies. With this new implementation we have greatly reduced the space and monetary requirements for driving nonmass-selective ion manipulation devices, which we expect to be advantageous to those developing low-cost and/or portable mass spectrometry systems.

Coenzyme Q₁₀ (CoQ₁₀) and closely related compounds with varying isoprenoid tail lengths (CoQ_n, n = 6-9) are biochemical cofactors involved in many physiological processes, playing important roles in cellular respiration and energy production. Liquid chromatography (LC) coupled with single or tandem mass spectrometry (MS) using electrospray (ESI) or atmospheric pressure chemical ionization (APCI) is considered the gold standard for the identification and quantification of CoQ₁₀ in food and biological samples. However, the characteristic fragmentation exhibited by the CoQ₁₀ radical anion ([M]^•-, m/z 862.684), the prevailing ion generated by APCI in negative polarity, has not been studied in detail. In this work, a systematic study was carried out to clarify this issue, using higher collisional energy dissociation (HCD) with high-resolution tandem FTMS and collision-induced dissociation-low-resolution sequential mass spectrometry (CID-MSⁿ, n = 2-4). Various fragmentation pathways were successfully interpreted, with some structures proposed for product ions checked using density functional theory (DFT) calculations. Besides the already-known detachments of methyl radicals occurring directly from the CoQ₁₀ radical anion and leading to ions like [M - CH₃]^- and [M - 2CH₃]^•-, the homolytic cleavage of C-C bonds along the oligo-isoprenoid side chain was tentatively proposed to explain some of the observed fragmentations. As a result, the generation of uncommon yet potentially stable distonic biradical anions was hypothesized, with some of them likely undergoing intramolecular cyclization to generate ions without unpaired electrons. Diagnostic product ions emerged from the fragmentation processes of CoQ₁₀ and were found to be common also to the radical anions of other CoQ_n derivatives (n = 7-9), facilitating their identification in extracts of edible Brassicaceae plant microgreens by reversed-phase liquid chromatography (RPLC)-APCI-FTMS.

Drug toxicity during the development of candidate pharmaceuticals is the leading cause of discontinuation in preclinical drug discovery and development. Traditionally, the cause of the toxicity is often determined by histological examination, clinical pathology, and the detection of drugs and/or metabolites by liquid chromatography-mass spectrometry (LC-MS). While these techniques individually provide information on the pathological effects of the drug and the detection of metabolites, they cannot provide specific molecular spatial information without additional experiments. Matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) is a powerful, label-free technique for the simultaneous detection of pharmaceuticals, metabolites, and endogenous chemical species in tissue sections, which makes it suitable for mechanistic toxicological studies to directly correlate the distribution of the drug and its metabolites with histological findings. This capability was demonstrated by the analysis of the liver from dogs dosed with discontinued drug compound B and its N-desmethyl metabolite, compound A. Histological examination showed multifocal hepatocellular necrosis, bile duct hyperplasia, periportal fibrosis, and chronic inflammation. MALDI-MSI analysis of liver tissue dosed with only compound A indicated that liver lesions were associated exclusively with the parent compound, whereas liver lesions with compound B showed the presence of the parent compound and its two metabolites (compound A and an N-oxide metabolite). Using both positive and negative ion modes, simultaneous detection and identification of endogenous molecular markers of the connective tissue, blood vessels, liver parenchyma, and bile duct epithelium was achieved, allowing optimal visualization of histological lesions by mass spectrometry imaging.

Molecular glues (MGs) and proteolysis-targeting chimeras (PROTACs) are used to modulate protein-protein interactions (PPIs), via induced proximity between compounds that have little or no affinity for each other naturally. They promote either reversible inhibition or selective degradation of a target protein, including ones deemed undruggable by traditional therapeutics. Though native MS (nMS) is capable of analyzing multiprotein complexes, the behavior of these artificially induced compounds in the gas phase is still not fully understood, and the number of publications over the past few years is still rather limited. Here, we studied two MG-induced complexes between mTOR_FRB and FKBP12 as well as a PROTAC-induced complex between FKBP51_FK1 and the von Hippel-Lindau E3 ligase (VHL). Native MS combined with collision-induced dissociation (CID) provided a way of measuring not only the formation of these complexes but also their dissociation pathways. Both protein complexes seem to eject preferably the centrally located small (compared to the mass of the proteins) ligand upon CID, rather than dissociating a peripheral subunit, as is often observed for naturally occurring protein complexes. In contrast, chemically induced dissociation in solution generated complementary data to CID, by disrupting the PPI surface, which resulted in more diverse MS spectra that preserved the stronger interactions in solution.

While gas chromatography mass spectrometry (GC-MS) has long been used to identify compounds in complex mixtures, this process is often subjective and time-consuming and leaves a large fraction of seemingly good-quality spectra unidentified. In this work, we describe a set of new mass spectral library-based methods to assist compound identification in complex mixtures. These methods employ mass spectral uniqueness and compound ubiquity of library entries alongside noise reduction and automated comparison of retention indices to library compounds. As a test data set, we used a publicly available electron ionization mass spectrometry data set consisting of 4833 spectra of particulate organic compounds emitted by combustion of wildland fuels. In the present work, spectra in this data set were first identified using the NIST 2023 EI-MS Library and associated batch process identification software (NIST MS PepSearch) using retention-index corrected Identity Search scoring. Resulting identifications and related information were then employed to parametrize other factors that correlate with identification. A method for identifying compounds absent from but related to those present in mass spectral libraries using the Hybrid Similarity Search is illustrated. Nevertheless, some 90% of the spectra remain unidentified. Through comparison of unidentified to identified mass spectra in this data set, a new simple measure, namely median relative abundance, was developed for evaluating the likelihood of identification.