Recent Developments In Mass Spectrometry Research Articles

Liquid chromatography - tandem mass spectrometry method for determination of natalizumab in serum and cerebrospinal fluid of patients with multiple sclerosis

Natalizumab is a humanized recombinant monoclonal IgG4 antibody used in the treatment of multiple sclerosis. Commonly used methods for natalizumab and anti-natalizumab antibodies quantification are enzyme-linked immunosorbent assay (ELISA) and radioimmunoassay, respectively. Measurement of therapeutic monoclonal antibodies can be challenging due to the resemblance to human plasma immunoglobulins. Recent developments in mass spectrometry enables to analyze vast variety of large protein molecules. The aim of this study was to develop a LC-MS/MS method for determining natalizumab in human serum and cerebrospinal fluid (CSF) and apply it to clinical settings. For successful quantification, it was necessary to find specific sequences of peptides in natalizumab. This immunoglobulin was treated with dithiothreitol and iodoacetamide, cleaved with trypsin into short specific peptides and determined on a UPLC-MS/MS system. An Acquity UPLC BEH C18 column at 55 °C and gradient elution was used for analysis. Intra- and interassay accuracies and precisions were tested at four concentration levels. Precision was determined by coefficients of variation and was in the range of 0.8–10.2 %, with accuracy in the range of 89.8–106.4 %. The concentration of natalizumab in patient samples ranged from 1.8 to 193.3 μg/mL. The method was validated according to the European Medicines Agency (EMA) guideline, met all acceptance criteria for accuracy and precision, and is suitable for clinical applications. In comparison to immunoassay, which can be elevated by cross-reaction with endogenous immunoglobulins, the results of developed LC-MS/MS method are more accurate and specific.

DeepSP: A Deep Learning Framework for Spatial Proteomics.

The study of protein subcellular localization (PSL) is a fundamental step toward understanding the mechanism of protein function. The recent development of mass spectrometry (MS)-based spatial proteomics to quantify the distribution of proteins across subcellular fractions provides us a high-throughput approach to predict unknown PSLs based on known PSLs. However, the accuracy of PSL annotations in spatial proteomics is limited by the performance of existing PSL predictors based on traditional machine learning algorithms. In this study, we present a novel deep learning framework named DeepSP for PSL prediction of an MS-based spatial proteomics data set. DeepSP constructs the new feature map of a difference matrix by capturing detailed changes between different subcellular fractions of protein occupancy profiles and uses the convolutional block attention module to improve the prediction performance of PSL. DeepSP achieved significant improvement in accuracy and robustness for PSL prediction in independent test sets and unknown PSL prediction compared to current state-of-the-art machine learning predictors. As an efficient and robust framework for PSL prediction, DeepSP is expected to facilitate spatial proteomics studies and contributes to the elucidation of protein functions and the regulation of biological processes.

Recent Developments in Mass Spectrometry to Support Next-Generation Synthesis and Screening.

The complexity of new therapeutics continues to increase and the timeline for the discovery of these therapeutics continues to shrink. This creates demand for new analytical techniques to facilitate quicker discovery and development of novel drugs. Mass spectrometry is one of the most prolific analytical techniques that has been applied across the entire drug discovery pipeline. New mass spectrometers and the associated methods for sampling have been introduced at a rate that keeps pace with new chemistries, therapeutic types, and screening practices used by modern drug hunters. This microperspective covers application and implementation of new mass spectrometry workflows that enable current and future efforts in screening and synthesis for drug discovery.

G protein-coupled receptor pharmacology - insights from mass spectrometry.

G protein-coupled receptors (GPCRs) are key drug targets due to their involvement in many physiological processes. The complexity of receptor pharmacology however is influenced by multiple interactions with various types of ligands and protein transducers representing significant challenges for drug discovery. The ability of mass spectrometry to observe both the binding of ligand molecules such as lipids, ions or drugs and their impact on interaction with transducers provides an exciting opportunity to probe many aspects that are difficult to track directly in cell-based systems. From the early days, when hydrogen deuterium exchange (HDX) experiments were used to probe the different conformations of GPCRs, through to the most recent insights in which the intact receptor-G protein/arrestin complexes associated with small molecules can be preserved by mass spectrometry, this review highlights the potential of mass spectrometry techniques for in-depth investigations of GPCR biology. Herein, we will describe the utility of mass spectrometry (MS) including HDX-MS, cross-linking and native-MS, in investigating GPCR pharmacology. Specifically, we will include ligand/drug interactions and Gi/s protein-coupling and illustrate and how these techniques can lead to the discovery of endogenous allosteric ligands and thereby offer a new perspective for drug discovery of GPCRs. Significance Statement GPCRs represent the largest family of druggable protein targets that interact with a diverse array of ligands, from metal ions and small molecules through to peptides and proteins. These extracellular stimuli are translated allosterically into intracellular signals mediated by transducer proteins. Typically, activation of GPCRs relies on binding of endogenous or exogenous agonists to stabilize the receptors in active conformations. Recent developments in MS enable capture of the extent of GPCR activation and discovery of allosteric modulators of downstream signaling.

Biomarker Analysis of Formalin-Fixed Paraffin-Embedded Clinical Tissues Using Proteomics.

The relatively recent developments in mass spectrometry (MS) have provided novel opportunities for this technology to impact modern medicine. One of those opportunities is in biomarker discovery and diagnostics. Key developments in sample preparation have enabled a greater range of clinical samples to be characterized at a deeper level using MS. While most of these developments have focused on blood, tissues have also been an important resource. Fresh tissues, however, are difficult to obtain for research purposes and require significant resources for long-term storage. There are millions of archived formalin-fixed paraffin-embedded (FFPE) tissues within pathology departments worldwide representing every possible tissue type including tumors that are rare or very small. Owing to the chemical technique used to preserve FFPE tissues, they were considered intractable to many newer proteomics techniques and primarily only useful for immunohistochemistry. In the past couple of decades, however, researchers have been able to develop methods to extract proteins from FFPE tissues in a form making them analyzable using state-of-the-art technologies such as MS and protein arrays. This review will discuss the history of these developments and provide examples of how they are currently being used to identify biomarkers and diagnose diseases such as cancer.

Label-free designed nanomaterials enrichment and separation techniques for phosphoproteomics based on mass spectrometry

The surface chemical characteristics of nanomaterials have a substantial impact on the affinity probe used to enrich proteins and peptides for MALDI-MS analysis of a real human sample. Detecting phosphoproteins involved in signalling is always difficult, even with recent developments in mass spectrometry, because protein phosphorylation is often temporary from complicated mixtures. This review summarizes current research on the successful enrichment of various intriguing glycoproteins and glycol peptides using surface affinity materials with distinctive qualities such as low cost, excellent structural stability, diversity, and multifunction. As a consequence, this review will provide a quick overview of the scholars from various backgrounds who are working in this intriguing interdisciplinary field. Label-free cancer biomarkers and other diseases will benefit from future challenges.

Insights in Post-Translational Modifications: Ubiquitin and SUMO.

Both ubiquitination and SUMOylation are dynamic post-translational modifications that regulate thousands of target proteins to control virtually every cellular process. Unfortunately, the detailed mechanisms of how all these cellular processes are regulated by both modifications remain unclear. Target proteins can be modified by one or several moieties, giving rise to polymers of different morphology. The conjugation cascades of both modifications comprise a few activating and conjugating enzymes but close to thousands of ligating enzymes (E3s) in the case of ubiquitination. As a result, these E3s give substrate specificity and can form polymers on a target protein. Polymers can be quickly modified forming branches or cleaving chains leading the target protein to its cellular fate. The recent development of mass spectrometry(MS) -based approaches has increased the understanding of ubiquitination and SUMOylation by finding essential modified targets in particular signaling pathways. Here, we perform a concise overview comprising from the basic mechanisms of both ubiquitination and SUMOylation to recent MS-based approaches aimed to find specific targets for particular E3 enzymes.

Differentiation of disaccharide isomers via a combination of IR and UV photodissociation mass spectrometry.

The challenge of glycan identification due to their structural complexity and diversity has profited enormously from recent developments in mass spectrometry (MS)-related methods. For photodissociation MS, infrared (IR) and ultraviolet (UV) lasers can generate complementary fragment ions, so an effective combination of the two methods may provide rich and valuable fragmentation patterns for glycan analysis. A 7.0T Fourier transform ion cyclotron resonance (FTICR) mass spectrometer equipped with a double-beam laser system was applied for the experiments. 3,5-Diiodo-L-tyrosine was selected as the assistant molecule to form complex ions with ten isomeric disaccharides through electrospray ionization. The complex ions were further isolated and irradiated by IR and UV lasers separately or continuously in the FTICR cell. By combining the two complementary fragment spectra generated from the IR and UV lasers, a clear identification of all the ten isomers was achieved using their binary codes based on their fragmentation patterns. The double-beam method simplifies the experiment by introducing the two lasers sequentially in one experiment, providing richer fragmentation patterns and making the full discrimination easier. This study demonstrates the capabilities of the combination of IR and UV photodissociation MS in the identification of diverse glycan isomers. The double-beam photodissociation method described here distinguished compositional, configurational and connectivity disaccharide isomers successfully. Compared with the data accumulation method based on separate IR and UV experiments, this method is simpler, faster, more flexible and also characterized by richer fragmentation patterns.

Comparison of the proteomes in sera between healthy Thoroughbreds and Thoroughbreds with respiratory disease associated with transport using mass spectrometry-based proteomics.

ABSTRACTIn the past decade, mass spectrometry has become an important technology for protein identification. Recent developments in mass spectrometry allow a large number of identifications in samples; therefore, mass-spectrometry-based techniques have been applied to the discovery of biomarkers. Here, we conducted a proteomic study to compare the proteomes in sera between healthy Thoroughbreds and Thoroughbreds with respiratory disease associated with transport (RDT). We found that four proteins, apolipoprotein F, lipopolysaccharide binding protein, lysozyme and protein S100-A8, were upregulated, while keratin 1 was downregulated in the RDT group. It is assumed that inflammation and immune response are involved in the changes of these proteins. The findings suggested that these proteins are potentially useful for elucidating the mechanism of development of RDT.

Recent developments in mass spectrometry for the characterization of micro- and nanoscale plastic debris in the environment.

Development of analytical methods for the characterization (particle size determination, identification, and quantification) of the micro- and nanoscale plastic debris in the environment is a quickly emerging field and has gained considerable attention, not only within the scientific community, but also on the part of policy makers and the general public. In this Trends paper, the importance of developing and further improving analytical methodologies for the detection and characterization of sub-20-μm-range microplastics and especially nanoplastics is highlighted. A short overview of analytical methodologies showing considerable promise for the detection and characterization of such micro- and nanoscale plastic debris is provided, with emphasis on recent developments in mass spectrometry (MS)-based analytical methods. Novel hyphenated techniques combining the strengths of different analytical methods, such as field flow fractionation and MS-based detection, may be a way to adequately address the smallest fractions in plastic debris analysis, making such approaches worthwhile to be further explored.

Microarray and Mass Spectrometry-Based Methodology for Lipid Profiling of Tissues and Cell Cultures.

The recent developments in mass spectrometry have revealed the importance of lipids as biomarkers in the context of different diseases and as indicators of the cell's homeostasis. However, further advances are required to unveil the complex relationships between lipid classes and lipid species with proteins. Here, we present a new methodology that combines microarrays with mass spectrometry to obtain the lipid fingerprint of samples of a different nature in a standardized and fast way, with minimal sample consumption. As a proof of concept, we use the methodology to obtain the lipid fingerprint of 20 rat tissues and to create a lipid library for tissue classification. Then, we combine those results with immunohistochemistry and enzymatic assays to unveil the relationship between some lipid species and two enzymes. Finally, we demonstrate the performance of the methodology to explore changes in lipid composition of the nucleus accumbens from mice subjected to two lipid diets.

Mass spectrometry-A versatile tool for characterising the lipid environment of membrane protein assemblies.

Biological membranes are selectively permeable barriers important for cell organization and compartmentalization. Their organisation strongly depends on the lipids that constitute the lipid bilayer as well as the proteins that reside in the membrane. Unravelling the organisation of biological membranes is therefore of great importance to understand cellular function driven by integral and peripheral membrane proteins. Recent developments in mass spectrometry made it a powerful tool contributing to our present-day understanding of membrane composition and organisation. The two main deliverables of mass spectrometry are (i) the identification and quantification of the membrane components, and (ii) the analysis of their structural arrangements. In this review article, we first briefly discuss the aspects of membrane organization that are accessible through mass spectrometry. We then provide detailed insights into the various mass spectrometric strategies which help identifying lipids from membranes or membrane protein assemblies, unravelling the lipid binding modes in membrane proteins and uncovering their structural roles. We further discuss the growing interest in membrane mimetics providing membrane proteins with a native-like lipid environment for structural and functional studies and the possibilities of mass spectrometry to contribute in these experiments.

Luminescence Spectroscopy of Rhodamine Homodimer Dications in Vacuo Reveals Strong Dye-Dye Interactions.

Being alone or together makes a difference for the photophysics of dyes but for ionic dyes it is difficult to quantify the interactions due to solvent screening and nearby counter ions. Gas-phase luminescence experiments are desirable and now possible based on recent developments in mass spectrometry. Here we present results on tailor-made rhodamine homodimers where two dye cations are separated by methylene linkers, (CH2 )n . In solution the fluorescence is almost identical to that from the monomer whereas the emission from bare cation dimers redshifts with decreasing n. In the absence of screening, the electric field from the charge on one dye is strong enough to polarize the other dye, both in the ground state and in the excited state. An electrostatic model based on symmetric dye responses (equal induced-dipole moments in ground state) captures the underlying physics and demonstrates interaction even at large distances. Our results have possible implications for gas-phase Förster Resonance Energy Transfer.

Preparation of iPSCs for Targeted Proteomic Analysis.

Induced pluripotent stem cells have great potential as a human model system in regenerative medicine, disease modeling, and drug screening. However, extensive analysis of iPSC are required before their therapeutic applications. With recent developments in mass spectrometry and proteomics, this technique can become a great alternative to traditional genomic approaches for iPSC analysis. Here, we describe preparation of iPSC for targeted proteomic analysis, and measurement of pluripotency markers allowing for classification into either pluripotent or nonpluripotent cells.

Mass Spectrometry- and Computational Structural Biology-Based Investigation of Proteins and Peptides.

Recent developments of mass spectrometry (MS) allow us to identify, estimate, and characterize proteins and protein complexes. At the same time, structural biology helps to determine the protein structure and its structure-function relationship. Together, they aid to understand the protein structure, property, function, protein-complex assembly, protein-protein interaction, and dynamics. The present chapter is organized with illustrative results to demonstrate how experimental mass spectrometry can be combined with computational structural biology for detailed studies of protein's structures. We have used tumor differentiation factor protein/peptide as ligand and Hsp70/Hsp90 as receptor protein as examples to study ligand-protein interaction. To investigate possible protein conformation, we will describe two proteins-lysozyme and myoglobin. As an application of MS-based assignment of disulfide bridges, the case of the spider venom polypeptide Phα1β will also be discussed.

Photoactivatable oligonucleotide probes to trap single-stranded DNA binding proteins: Updating the potential of 4-thiothymidine from a comparative study

Photoaffinity labeling (PAL) in combination with recent developments in mass spectrometry is a powerful tool for studying nucleic acid-protein interactions, enabling crosslinking of both partners through covalent bond formation. Such a strategy requires a preliminary study of the most judicious photoreactive group to crosslink efficiently with the target protein. In this study, we report a survey of three different photoreactive nucleobases (including a guanine functionalized with a benzophenone or a diazirine and the zero-length agent 4-thiothymine) incorporated in 30-mer oligonucleotides (ODN) containing a biotin moiety for selective trapping and enrichment of single-stranded DNA binding proteins (SSB). First, the conditions and efficiency of the photochemical reaction with a purified protein using human replication protein A as the relevant model was studied. Secondly, the ability of the probe as bait to photocrosslink and enrich SSB in cell lysate was addressed. Among the different ODN probes studied, we showed that 4-thiothymine was the most relevant: i) it allows efficient and specific trapping of SSB in whole cell extracts in a similar extent as the widely used diazirine, ii) it features the advantages of a zero-length agent thus retaining the physicochemical properties of the ODN bait; iii) ODN including this photochemical agent are easily accessible. In combination with mass spectrometry, the probes incorporating this nucleobase are powerful tools for PAL strategies and can be added in the toolbox of the traditional photocrosslinkers for studying DNA-protein interactions.

Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer.

Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overtreatment. Therefore, there is a great need of finding biomarkers for patient stratification according to prognostic risk; as well as there is a need for novel targets that can allow the development of effective treatments for patients that progress to castration-resistant PCa. Most biomarkers in cancer are proteins, including the widely-used prostate-specific antigen (PSA). Recent developments in mass spectrometry allow the identification and quantification of thousands of proteins and posttranslational modifications from small amounts of biological material, including formalin-fixed paraffin-embedded tissues, and biological fluids. Novel diagnostic and prognostic biomarkers have been identified in tissue, blood, urine, and seminal plasma of PCa patients, and new insights in the ethology and progression of this disease have been achieved using this technology. In this review, we summarize these findings and discuss the potential of this technology to pave the way toward the clinical implementation of precision medicine in PCa.

Applications of Mass Spectrometry Imaging to Cancer.

Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world.

Potential of non-traditional isotope studies for bioarchaeology

As a consequence of recent developments in mass spectrometry, the application of non-traditional stable isotope systems (e.g. Ca, Cu, Fe, Mg, Sr, Zn) as well as radiogenic isotopes to archaeological materials is now possible. These techniques have opened new perspectives in bioarchaeology and can provide information on metabolism, diet and the mobility of past individuals. This review demonstrates this potential and describes the principle of these new analytical approaches. In addition, we emphasize how the “non-traditional” stable isotope systems compare and contrast with classic isotopic analyses.

High-sensitivity HLA class I peptidome analysis enables a precise definition of peptide motifs and the identification of peptides from cell lines and patients' sera.

The characterization of peptides bound to human leukocyte antigen (HLA) class I is of fundamental importance for understanding CD8+ T cell-driven immunological processes and for the development of immunomodulatory therapeutic strategies. However, until now, the mass spectrometric analysis of HLA-bound peptides has typically required billions of cells, still resulting in relatively few high-confidence peptide identifications. Capitalizing on the recent developments in mass spectrometry and bioinformatics, we have implemented a methodology for the efficient recovery of acid-eluted HLA peptides after purification with the pan-reactive antibody W6/32 and have identified a total of 27 862 unique peptides with high confidence (1% false discovery rate) from five human cancer cell lines. More than 93% of the identified peptides were eight to 11 amino acids in length and contained signatures that were in excellent agreement with published HLA binding motifs. Furthermore, by purifying soluble HLA class I complexes (sHLA) from sera of melanoma patients, up to 972 high-confidence peptides could be identified, including melanoma-associated antigens already described in the literature. Knowledge of the HLA class I peptidome should facilitate multiplex tetramer technology-based characterization of T cells, and allow the development of patient selection, stratification and immunomodulatory therapeutic strategies.