Top-Down Proteoform Analysis by 2D MS with Quadrupolar Detection.

Two-dimensional mass spectrometry (2D MS) is a multiplexed tandem mass spectrometry method that does not rely on ion isolation to correlate the precursor and fragment ions. On a Fourier transform ion cyclotron resonance mass spectrometer (FT-ICR MS), 2D MS instead uses the modulation of precursor ion radii inside the ICR cell before fragmentation and yields 2D mass spectra that show the fragmentation patterns of all the analytes. In this study, we perform 2D MS for the first time with quadrupolar detection in a dynamically harmonized ICR cell. We discuss the advantages of quadrupolar detection in 2D MS and how we adapted existing data processing techniques for accurate frequency-to-mass conversion. We apply 2D MS with quadrupolar detection to the top-down analysis of covalently labeled ubiquitin with ECD fragmentation, and we develop a workflow for label-free relative quantification of biomolecule isoforms in 2D MS.

Self-organization Properties of a GPCR-Binding Peptide with a Fluorinated Tail Studied by Fluorine NMR Spectroscopy.

Conjugation of the bioactive apelin-17 peptide with a fluorocarbon chain results in self-organization of the peptide into micelles. Fluorine NMR spectroscopy studies show that the fluoropeptide's micelles are monodisperse, while proton NMR indicates that the peptide moiety remains largely disordered despite micellization. A very fast exchange rate is measured between the free and micellar states of the peptide which enables the number of molecules present in the micelle to be estimated as 200, in agreement with values found by dynamic light scattering measurements.

Application of Optimal Control Theory to Fourier Transform Ion Cyclotron Resonance.

We study the application of Optimal Control Theory to Ion Cyclotron Resonance. We test the validity and the efficiency of this approach for the robust excitation of an ensemble of ions with a wide range of cyclotron frequencies. Optimal analytical solutions are derived in the case without any pulse constraint. A gradient-based numerical optimization algorithm is proposed to take into account limitation in the control intensity. The efficiency of optimal pulses is investigated as a function of control time, maximum amplitude and range of excited frequencies. A comparison with adiabatic and SWIFT pulses is done. On the basis of recent results in Nuclear Magnetic Resonance, this study highlights the potential usefulness of optimal control in Ion Cyclotron Resonance.

Phase Correction for Absorption Mode Two-Dimensional Mass Spectrometry.

Two-dimensional mass spectrometry (2D MS) is a tandem mass spectrometry method that relies on manipulating ion motions to correlate precursor and fragment ion signals. 2D mass spectra are obtained by performing a Fourier transform in both the precursor ion mass-to-charge ratio (m/z) dimension and the fragment ion m/z dimension. The phase of the ion signals evolves linearly in the precursor m/z dimension and quadratically in the fragment m/z dimension. This study demonstrates that phase-corrected absorption mode 2D mass spectrometry improves signal-to-noise ratios by a factor of 2 and resolving power by a factor of 2 in each dimension compared to magnitude mode. Furthermore, phase correction leads to an easier differentiation between ion signals and artefacts, and therefore easier data interpretation.

Narrowband Modulation Two-Dimensional Mass Spectrometry and Label-Free Relative Quantification of Histone Peptides.

Two-dimensional mass spectrometry (2D MS) on a Fourier transform ion cyclotron resonance (FT-ICR) mass analyzer allows for tandem mass spectrometry without requiring ion isolation. In the ICR cell, the precursor ion radii are modulated before fragmentation, which results in modulation of the abundance of their fragments. The resulting 2D mass spectrum enables a correlation between the precursor and fragment ions. In a standard broadband 2D MS, the range of precursor ion cyclotron frequencies is determined by the lowest mass-to-charge (m/z) ratio to be fragmented in the 2D MS experiment, which leads to precursor ion m/z ranges that are much wider than necessary, thereby limiting the resolving power for precursor ions and the accuracy of the correlation between the precursor and fragment ions. We present narrowband modulation 2D MS, which increases the precursor ion resolving power by reducing the precursor ion m/z range, with the aim of resolving the fragment ion patterns of overlapping isotopic distributions. In this proof-of-concept study, we compare broadband and narrowband modulation 2D mass spectra of an equimolar mixture of histone peptide isoforms. In narrowband modulation 2D MS, we were able to separate the fragment ion patterns of all 13C isotopes of the different histone peptide forms. We further demonstrate the potential of narrowband 2D MS for label-free quantification of peptides.

Two-dimensional mass spectrometry: new perspectives for tandem mass spectrometry.

Fourier transform ion cyclotron resonance mass analysers (FT-ICR MS) can offer the highest resolutions and mass accuracies in mass spectrometry. Mass spectra acquired in an FT-ICR MS can yield accurate elemental compositions of all compounds in a complex sample. Fragmentation caused by ion-neutral, ion-electron, or ion-photon interactions leads to more detailed structural information on compounds. The most often used method to correlate compounds and their fragment ions is to isolate the precursor ions from the sample before fragmentation. Two-dimensional mass spectrometry (2D MS) offers a method to correlate precursor and fragment ions without requiring precursor isolation. 2D MS therefore enables easy access to the fragmentation patterns of all compounds from complex samples. In this article, the principles of FT-ICR MS are reviewed and the 2D MS experiment is explained. Data processing for 2D MS is detailed, and the interpretation of 2D mass spectra is described.

Automatised pharmacophoric deconvolution of plant extracts - application to Cinchona bark crude extract.

We present a development of the "Plasmodesma" dereplication method [Margueritte et al., Magn. Reson. Chem., 2018, 56, 469]. This method is based on the automatic acquisition of a standard set of NMR experiments from a medium sized set of samples differing by their bioactivity. From this raw data, an analysis pipeline is run and the data is analysed by leveraging machine learning approaches in order to extract the spectral fingerprints of the active compounds. The optimal conditions for the analysis are determined and tested on two different systems, a synthetic sample where a single active molecule is to be isolated and characterized, and a complex bioactive matrix with synergetic interactions between the components. The method allows the identification of the active compounds and performs a pharmacophoric deconvolution. The program is freely available on the Internet, with an interactive visualisation of the statistical analysis, at https://plasmodesma.igbmc.science.

Top-Down Deep Sequencing of Ubiquitin Using Two-Dimensional Mass Spectrometry.

Two-dimensional mass spectrometry (2DMS) allows data independent fragmentation of all ions in a sample and correlation of fragment ions to their precursors without isolation prior to fragmentation. Developments in computer capabilities and implementations in Fourier transform ion cyclotron resonance (FTICR) MS over the past decade have allowed the technique to become a useful analytical tool for bottom-up proteomics (BUP) and, more recently, in top-down protein analysis (TDP). In this work, a new method of TDP is developed using 2D FTICR MS, called MS/2D FTICR MS or MS/2DMS. In MS/2DMS, an entire protein is initially fragmented in a hexapole collision cell, e.g., with collisionally activated dissociation (CAD). The primary fragments are then sent to the ICR cell, where 2DMS is performed with infrared multiphoton dissociation (IRMPD) or electron-capture dissociation (ECD). The resulting 2D mass spectra retain information equivalent to a set of TDP MS3 experiments on the selected protein. Up to n - 1 fragmentation steps can be added to the process, as long as an ion of interest can be unambiguously fragmented before the ICR cell, leading to an MS n/2DMS experiment whose output is a 2D mass spectrum retaining information equivalent to MS n. MS/2DMS and MS/MS/2DMS are used in this work for the structural analysis of ubiquitin (Ubi), noting several unique features which aid fragment identification. The use of CAD-MS/IRMPD-2DMS, CAD-MS/ECD-2DMS, and MS2/2DMS using, respectively, in-source dissociation (ISD), CAD, and ECD-2DMS led to 97% cleavage coverage for Ubi.

Can Two-Dimensional IR-ECD Mass Spectrometry Improve Peptide de Novo Sequencing?

Two-dimensional mass spectrometry (2D MS) correlates precursor and fragment ions without ion isolation in a Fourier transform ion cyclotron resonance mass spectrometer (FTICR MS) for tandem mass spectrometry. Infrared activated electron capture dissociation (IR-ECD), using a hollow cathode configuration, generally yields more information for peptide sequencing in tandem mass spectrometry than ECD (electron capture dissociation) alone. The effects of the fragmentation zone on the 2D mass spectrum are investigated as well as the structural information that can be derived from it. The enhanced structural information gathered from the 2D mass spectrum is discussed in terms of how de novo peptide sequencing can be performed with increased confidence. 2D IR-ECD MS is shown to sequence peptides, to distinguish between leucine and isoleucine residues through the production of w ions as well as between C-terminal ( b/ c) and N-terminal ( y/ z) fragments through the use of higher harmonics, and to assign and locate peptide modifications.

Automatic differential analysis of NMR experiments in complex samples.

Liquid state nuclear magnetic resonance (NMR) is a powerful tool for the analysis of complex mixtures of unknown molecules. This capacity has been used in many analytical approaches: metabolomics, identification of active compounds in natural extracts, and characterization of species, and such studies require the acquisition of many diverse NMR measurements on series of samples. Although acquisition can easily be performed automatically, the number of NMR experiments involved in these studies increases very rapidly, and this data avalanche requires to resort to automatic processing and analysis. We present here a program that allows the autonomous, unsupervised processing of a large corpus of 1D, 2D, and diffusion-ordered spectroscopy experiments from a series of samples acquired in different conditions. The program provides all the signal processing steps, as well as peak-picking and bucketing of 1D and 2D spectra, the program and its components are fully available. In an experiment mimicking the search of a bioactive species in a natural extract, we use it for the automatic detection of small amounts of artemisinin added to a series of plant extracts and for the generation of the spectral fingerprint of this molecule. This program called Plasmodesma is a novel tool that should be useful to decipher complex mixtures, particularly in the discovery of biologically active natural products from plants extracts but can also in drug discovery or metabolomics studies.

Nonuniform Sampling Acquisition of Two-Dimensional Fourier Transform Ion Cyclotron Resonance Mass Spectrometry for Increased Mass Resolution of Tandem Mass Spectrometry Precursor Ions.

Obtaining the full MS/MS map for fragments and precursors of complex mixtures without hyphenation with chromatographic separation by a data-independent acquisition is a challenge in mass spectrometry which is solved by two-dimensional (2D) Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS). Until now 2D FTICR MS afforded only a moderate resolution for precursor ion since this resolution is limited by the number of evolution interval steps to which the number of scans, the acquisition time, and the sample consumption are proportional. An overnight acquisition is already required to reach a quadrupole mass filter-like unit mass resolution. Here, we report that 2D FTICR MS using nonuniform sampling (NUS) obtained by randomly skipping points in the first dimension corresponding to the precursor selection gives access, after data processing, to the same structural information contained in a complex mixture. The resolution increases roughly as the inverse of the NUS ratio, up to 26 times at NUS 1/32, leading to an acquisition time reduced in the same ratio compared to a classical acquisition at the same resolution. As an example, the analysis of a natural oil is presented.

Polymer Analysis in the Second Dimension: Preliminary Studies for the Characterization of Polymers with 2D MS.

Two-dimensional Fourier transform ion cyclotron resonance mass spectrometry (2D FTICR MS or 2D MS) allows direct correlation between precursor and fragment ions without isolation prior to fragmentation. The method has been optimized for the analysis of complex mixtures and used so far for the analysis of small molecules and peptides obtained by tryptic digestion of proteins and entire proteins. In this work, a 2D MS method is developed to characterize complex mixtures of polymers using infrared multiphoton decay (IRMPD) and electron capture dissociation (ECD) as fragmentation techniques, and D-α-tocopheryl polyethylene glycol 1000 succinate (TPGS), Polysorbate 80, and poly(methyl methacrylate) (PMMA) as analytes. The use of 2D MS allowed generation of fragment m/z values for all the compounds in the mixture at once and allowed tandem mass spectrometry of species very close in m/z that would have been difficult to isolate with a quadrupole for standard MS/MS. Furthermore, the use of unique features of 2D MS such as the extraction of neutral-loss lines allowed the successful assignment of peaks from low abundant species that would have been more difficult with standard MS/MS. For all the samples, the amount of information obtained with 2D MS was comparable with what obtained with multiple 1D MS/MS experiments targeted on each individual component within each mixture but required a single experiment of about 20-40 min.

PALMA, an improved algorithm for DOSY signal processing.

NMR is a tool of choice for the measurement of diffusion coefficients of species in solution. The DOSY experiment, a 2D implementation of this measurement, has been proven to be particularly useful for the study of complex mixtures, molecular interactions, polymers, etc. However, DOSY data analysis requires to resort to the inverse Laplace transform, in particular for polydisperse samples. This is a known difficult numerical task for which we present here a novel approach. A new algorithm based on a splitting scheme and on the use of proximity operators is introduced. Used in conjunction with a Maximum Entropy and hybrid regularisation, this algorithm converges rapidly and produces results robust against experimental noise. This method has been called PALMA. It is able to reproduce faithfully monodisperse as well as polydisperse systems, and numerous simulated and experimental examples are presented. It has been implemented on the server where users can have their datasets processed automatically.

Efficient denoising algorithms for large experimental datasets and their applications in Fourier transform ion cyclotron resonance mass spectrometry.

Modern scientific research produces datasets of increasing size and complexity that require dedicated numerical methods to be processed. In many cases, the analysis of spectroscopic data involves the denoising of raw data before any further processing. Current efficient denoising algorithms require the singular value decomposition of a matrix with a size that scales up as the square of the data length, preventing their use on very large datasets. Taking advantage of recent progress on random projection and probabilistic algorithms, we developed a simple and efficient method for the denoising of very large datasets. Based on the QR decomposition of a matrix randomly sampled from the data, this approach allows a gain of nearly three orders of magnitude in processing time compared with classical singular value decomposition denoising. This procedure, called urQRd (uncoiled random QR denoising), strongly reduces the computer memory footprint and allows the denoising algorithm to be applied to virtually unlimited data size. The efficiency of these numerical tools is demonstrated on experimental data from high-resolution broadband Fourier transform ion cyclotron resonance mass spectrometry, which has applications in proteomics and metabolomics. We show that robust denoising is achieved in 2D spectra whose interpretation is severely impaired by scintillation noise. These denoising procedures can be adapted to many other data analysis domains where the size and/or the processing time are crucial.

Two-Dimensional Mass Spectrometry for Proteomics, a Comparative Study with Cytochrome c.

Two-dimensional Fourier transform ion cyclotron resonance mass spectrometry (2D FT-ICR MS) allows the correlation between precursor and fragment ions in tandem mass spectrometry without the need to isolate the precursor ion beforehand. 2D FT-ICR MS has been optimized as a data-independent method for the structural analysis of compounds in complex samples. Data processing methods and denoising algorithms have been developed to use it as an analytical tool. In the present study, the capabilities of 2D FT-ICR MS are explored with a tryptic digest of cytochrome c with both ECD and IRMPD as fragmentation modes. The 2D mass spectra showed useful fragmentation patterns of peptides over a dynamic range of almost 400. By using a quadratic calibration, fragment ion peaks could be successfully assigned. The correlation between precursor and fragment ions in the 2D mass spectra was more accurate than in MS/MS spectra after quadrupole isolation, due to the limitations of quadrupole isolation. The use of the second dimension allowed for successful fragment assignment from precursors that were separated by only m/z 0.0156. The resulting cleavage coverage of cytochrome c almost matched data provided by high-resolution FT-ICR MS/MS analysis, but the 2D FT-ICR MS method required only one experimental scan.

Paramagnetic DOSY: An Accurate Tool for the Analysis of the Supramolecular Interactions between Lanthanide Complexes and Proteins.

Diffusion ordered NMR is implemented to determine accurately the mobility of paramagnetic tris-dipicolinate lanthanide complexes that are versatile probes of protein structure. It is shown that diffusion coefficient ratios can be measured with an accuracy of 1 % using a standard BPPLED pulse sequence, which allows for observing significant, though weak, variations when different species are interacting with the paramagnetic compound. We demonstrate that this approach is complementary to classical chemical shift titration experiments, and that it can be applied successfully to probe the supramolecular dynamic interactions between lanthanide complexes and small molecules on the one hand, or to determine rapidly their affinity for a targeted protein.

Reversible amyloid fiber formation in the N terminus of androgen receptor.

Most of the biological effects of androgen hormones are mediated through an intracellular transcription factor, the androgen receptor (AR). This protein presents a long disordered N-terminal domain (NTD), known to aggregates into amyloid fibers.1 This aggregation property is usually associated with the presence of a poly-glutamine tract (polyQ), known to be involved in several pathologies.2 The NTD has gain interest recently because potential anti-prostate-cancer molecules could target this domain.3 Here, we characterize a conserved region of the NTD (distal from polyQ); it promotes the formation of amyloid fibers under mild oxidative conditions. Unlike most fibrils, which are irreversibly aggregated, the free peptides can be restored from the fibril by the addition of a reducing agent.

Production and characterization of a retinoic acid receptor RARγ construction encompassing the DNA binding domain and the disordered N-terminal proline rich domain.

Gene activation by retinoic acid nuclear receptors (RAR) is regulated by a number of molecular events such as ligand binding, interaction with cognate DNA sequences and co-regulatory proteins, and phosphorylation. Among the several phosphorylation sites that are involved in the non-genomic regulatory pathways of the RAR, two are located in a proline rich domain (PRD) within the N-terminal domain (NTD) of the receptor. This region is predicted to be intrinsically disordered, complicating its production and purification. We present here an approach enabling the high yield production of RAR fragments encompassing the PRD and the DNA binding domain (DBD). We found that expression levels were dependent on where the position of the N-terminal boundary of the fragment was placed within the RAR sequence. The purification protocol involves the use of maltose binding protein as a solubilising tag and extensive centrifugation steps at critical points of the purification process. This protocol is suitable to express (15)N, (13)C labeled proteins enabling nuclear magnetic resonance studies. The resulting proteins were characterized by biophysical methods including Small Angle X-ray Scattering and NMR. These studies showed that PRD extension of RARγ is disordered in solution, a state that is compatible with modifications such as phosphorylation.