Here we present a guide to ion mobility mass spectrometry experiments, which covers both linear and nonlinear methods: what is measured, how the measurements are done, and how to report the results, including the uncertainties of mobility and collision cross section values. The guide aims to clarify some possibly confusing concepts, and the reporting recommendations should help researchers, authors and reviewers to contribute comprehensive reports, so that the ion mobility data can be reused more confidently. Starting from the concept of the definition of the measurand, we emphasize that (i) mobility values ( K 0 ) depend intrinsically on ion structure, the nature of the bath gas, temperature, and E / N ; (ii) ion mobility does not measure molecular surfaces directly, but collision cross section (CCS) values are derived from mobility values using a physical model; (iii) methods relying on calibration are empirical (and thus may provide method‐dependent results) only if the gas nature, temperature or E / N cannot match those of the primary method. Our analysis highlights the urgency of a community effort toward establishing primary standards and reference materials for ion mobility, and provides recommendations to do so. © 2019 The Authors. Mass Spectrometry Reviews Published by Wiley Periodicals, Inc.
The ubiD/ubiX or the homologous fdc/pad genes have been implicated in the non-oxidative reversible decarboxylation of aromatic substrates, and play a pivotal role in bacterial ubiquinone biosynthesis1–3 or microbial biodegradation of aromatic compounds4–6 respectively. Despite biochemical studies on individual gene products, the composition and co-factor requirement of the enzyme responsible for in vivo decarboxylase activity remained unclear7–9. We show Fdc is solely responsible for (de)carboxylase activity, and that it requires a new type of cofactor: a prenylated flavin synthesised by the associated UbiX/Pad10. Atomic resolution crystal structures reveal two distinct isomers of the oxidized cofactor can be observed: an isoalloxazine N5-iminium adduct and a N5 secondary ketimine species with drastically altered ring structure, both having azomethine ylide character. Substrate binding positions the dipolarophile enoic acid group directly above the azomethine ylide group. The structure of a covalent inhibitor-cofactor adduct suggests 1,3-dipolar cycloaddition chemistry supports reversible decarboxylation in these enzymes. While 1,3-dipolar cycloaddition is commonly used in organic chemistry11–12, we propose this presents the first example of an enzymatic 1,3-dipolar cycloaddition reaction. Our model for Fdc/UbiD catalysis offers new routes in alkene hydrocarbon production or aryl (de)carboxylation.
The technique of ion mobility mass spectrometry (IM-MS) has become of increasing interest for rapid analysis of the conformations adopted by biological macromolecules. It is currently used routinely for analysis of explosives and illegal substances in airport and military security. In biophysical research, it can be used to determine the temperature dependent rotationally averaged collision cross section of gas-phase ions of proteins and nucleic acids along with their mass to charge ratios. Nanoelectrospray ionisation allows the gentle transfer of intact biomolecules from solutions in which the native form(s) are present, into the solvent free environment of a mass spectrometer. It is believed by many researchers that the experimental collision cross sections of these molecules should have some relationship to crystal structure coordinates. In this review we outline the different experimental methods that can be used to measure ion mobility; we also describe methods used to calculate collision cross sections from input coordinates. Following this survey of the methodological approaches to IM-MS, we then summarise IM-MS data published to date for some monomeric peptides and small soluble proteins, along with collision cross sections calculated from their crystal structure coordinates. Finally we consider the relationship between experimental gas-phase conformations and those adopted in crystals and give an outlook on the application of IM-MS as a tool for structural biology.
BackgroundExosomes are released from multiple cell types, contain protein and RNA species, and have been exploited as a novel reservoir for disease biomarker discovery. They can transfer information between cells and may cause pathology, for example, a role for exosomes has been proposed in the pathophysiology of Alzheimer's disease. Although studied in several biofluids, exosomes have not been extensively studied in the cerebrospinal fluid (CSF) from humans. The objective of this study was to determine: 1) whether human CSF contains exosomes and 2) the variability in exosomal protein content across individuals.MethodsCSF was collected from 5 study participants undergoing thoraco-abdominal aortic aneurysm repair (around 200 - 500 ml per participant) and low-density membrane vesicles were concentrated by ultracentrifugation. The presence of exosomes was determined by western blot for marker proteins, isopycnic centrifugation on a sucrose step gradient and transmission electron microscopy with immuno-labelling. Whole protein profiling was performed using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR).ResultsFlotillin 1 and tumor susceptibility gene 101 (TSG101), two exosomal marker proteins, were identified in the ultracentrifugation pellet using western blot. These markers localized to a density consistent with exosomes following isopycnic centrifugation. Transmission electron microscopy visualized structures consistent with exosomes in size and appearance that labelled positive for flotillin 1. Therefore, the pellet that resulted from ultracentrifugation of human CSF contained exosomes. FT-ICR profiling of this pellet was performed and 84-161 ions were detected per study participant. Around one third of these ions were only present in a single study participant and one third were detected in all five. With regard to ion quantity, the median coefficient of variation was 81% for ions detected in two or more samples.ConclusionsExosomes were identified in human CSF and their proteome is a potential new reservoir for biomarker discovery in neurological disorders such as Alzheimer's disease. However, techniques used to concentrate exosomes from CSF need refinement to reduce variability. In this study we used relatively large starting volumes of human CSF, future studies will focus on exosome isolation from smaller 'real life' clinical samples; a key challenge in the development of exosomes as translational tools.
The microbial production of fine chemicals provides a promising biosustainable manufacturing solution that has led to the successful production of a growing catalog of natural products and high-value chemicals. However, development at industrial levels has been hindered by the large resource investments required. Here we present an integrated Design–Build-Test–Learn (DBTL) pipeline for the discovery and optimization of biosynthetic pathways, which is designed to be compound agnostic and automated throughout. We initially applied the pipeline for the production of the flavonoid (2S)-pinocembrin in Escherichia coli, to demonstrate rapid iterative DBTL cycling with automation at every stage. In this case, application of two DBTL cycles successfully established a production pathway improved by 500-fold, with competitive titers up to 88 mg L−1. The further application of the pipeline to optimize an alkaloids pathway demonstrates how it could facilitate the rapid optimization of microbial strains for production of any chemical compound of interest.
In the past decade, mass spectrometry (MS) coupled with electrospray ionization (ESI) has been extensively applied to the study of intact proteins and their complexes, often without the requirement of labels. Solvent conditions (for example, pH, ionic strength, and concentration) affect the observed desolvated species; the ease of altering such extrinsic factors renders ESI-MS an appropriate method by which to consider the range of conformational states that proteins may occupy, including natively folded, disordered and amyloid. Rotationally averaged collision cross sections of the ionized forms of proteins, provided by the combination of mass spectrometry and ion mobility (IM-MS), are also instructive in exploring conformational landscapes in the absence of solvent. Here, we ask the following question: "If the only technique you had was ESI-IM-MS, what information would it provide on the structural preferences of an unknown protein?" We have selected 20 different proteins, both monomeric and multimeric, ranging in mass from 2846 Da (melittin) to 150 kDa (Immunoglobulin G), and we consider how they are presented to a mass spectrometer under different solvent conditions. Mass spectrometery allows us to distinguish which of these proteins are structured (melittin, human beta defensin 1, truncated human lymphotactin, Cytochrome C, holo hemoglobin-α, ovalbumin, human transthyretin, avidin, bovine serum albumin, concanavalin, human serum amyloid protein, and Immunoglobulin G) from those that contain at least some regions of disorder (human lymphotactin, N-terminal p53, α-Synuclein, N-terminal MDM2, and p53 DNA binding domain) or denatured due to solvent conditions (ubiquitin, apo hemoglobin-α, apo hemoglobin-β) by considering two experimental parameters: the range of charge states occupied by the protein (Δz) and the range of collision cross sections in which the protein is observed (ΔCCS). We also provide a simple model to predict the difference between the collision cross sections of the most compact and the most extended form of a given protein, based on the volume of the amino acids it contains. We compare these calculated parameters with experimental values. In addition, we consider the occupancy of conformations based on the intensities of ions in the mass spectra. This allows us to qualitatively predict the potential energy landscape of each protein. Our empirical approach to assess order or disorder is shown to be more accurate than the use of charge hydropathy plots, which are frequently used to predict disorder, and could provide an initial route to characterization. Finally, we present an ESI-IM-MS methodology to determine if a given protein is structured or disordered.
The coenzyme B12-dependent photoreceptor protein, CarH, is a bacterial transcriptional regulator that controls the biosynthesis of carotenoids in response to light. On binding of coenzyme B12 the monomeric apoprotein forms tetramers in the dark, which bind operator DNA thus blocking transcription. Under illumination the CarH tetramer dissociates, weakening its affinity for DNA and allowing transcription. The mechanism by which this occurs is unknown. Here we describe the photochemistry in CarH that ultimately triggers tetramer dissociation; it proceeds via a cob(III)alamin intermediate, which then forms a stable adduct with the protein. This pathway is without precedent and our data suggest it is independent of the radical chemistry common to both coenzyme B12 enzymology and its known photochemistry. It provides a mechanistic foundation for the emerging field of B12 photobiology and will serve to inform the development of a new class of optogenetic tool for the control of gene expression.
Carbohydrates possess a variety of distinct features with stereochemistry playing a particularly important role in distinguishing their structure and function. Monosaccharide building blocks are defined by a high density of chiral centers. Additionally, the anomericity and regio-chemistry of the glycosidic linkages carry important biological information. Any carbohydrate-sequencing method needs to be precise in determining all aspects of this stereo-diversity. Recently, several advances have been made in developing fast and precise analytical techniques that have the potential to address the stereochemical complexity of carbohydrates. This perspective seeks to provide an overview of some of these emerging techniques, focusing on those that are based on NMR and MS-hybridized technologies including ion mobility spectrometry and IR spectroscopy. Associated Content Supporting Information. Two tables containing software and databases that facilitate glycan analysis can be found in the supporting information. This material is available free of charge via the Internet at http://pubs.acs.org.
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