Meeting Report on the 2nd Chinese American Society for Mass Spectrometry Conference: Advancing Biological and Pharmaceutical Mass Spectrometry.

The 2nd CASMS conference was held virtually through Gather. Town platform from October 17 to 21, 2022, with a total of 363 registrants including an outstanding and diverse group of scientists at the forefront of their research fields from both academia and industry worldwide, especially in the United States and China. The conference offered a 5-day agenda with an exciting scientific program consisting of two plenary lectures, 14 parallel symposia, and 4 special sessions in which a total of 97 invited speakers presented technological innovations and their applications in proteomics & biological mass spectrometry and metabo-lipidomics & pharmaceutical mass spectrometry. In addition, 18 invited speakers/panelists presented at 3 research-focused and 2 career development workshops. Moreover, 144 posters, 54 lightning talks, 5 sponsored workshops, and 14 exhibitions were presented, from which 20 posters and 8 lightning talks received presentation awards. Furthermore, the conference featured 1 MCP lectureship and 5 young investigator awardees for the first time to highlight outstanding mid-career and early-career rising stars in mass spectrometry from our society. The conference provided a unique scientific platform for young scientists (i.e., graduate students, postdocs and junior faculty/investigators) to present their research, meet with prominent scientists, and learn about career development and job opportunities (http://casms.org).

What's in a mass?

This short essay pretends to make the reader reflect on the concept of biological mass and on the added value that the determination of this molecular property of a protein brings to the interpretation of evolutionary and translational snake venomics research. Starting from the premise that the amino acid sequence is the most distinctive primary molecular characteristics of any protein, the thesis underlying the first part of this essay is that the isotopic distribution of a protein's molecular mass serves to unambiguously differentiate it from any other of an organism's proteome. In the second part of the essay, we discuss examples of collaborative projects among our laboratories, where mass profiling of snake venom PLA2 across conspecific populations played a key role revealing dispersal routes that determined the current phylogeographic pattern of the species.

Proteomics in the pharmaceutical and biotechnology industry: a look to the next decade.

INTRODUCTION: Pioneering technologies such as proteomics have helped fuel the biotechnology and pharmaceutical industry with the discovery of novel targets and an intricate understanding of the activity of therapeutics and their various activities in vitro and in vivo. The field of proteomics is undergoing an inflection point, where new sensitive technologies are allowing intricate biological pathways to be better understood, and novel biochemical tools are pivoting us into a new era of chemical proteomics and biomarker discovery. In this review, we describe these areas of innovation, and discuss where the fields are headed in terms of fueling biotechnological and pharmacological research and discuss current gaps in the proteomic technology landscape. AREAS COVERED: Single cell sequencing and single molecule sequencing. Chemoproteomics. Biological matrices and clinical samples including biomarkers. Computational tools including instrument control software, data analysis. EXPERT OPINION: Proteomics will likely remain a key technology in the coming decade, but will have to evolve with respect to type and granularity of data, cost and throughput of data generation as well as integration with other technologies to fulfill its promise in drug discovery.

Effects of ultrasound on functional properties, structure and glycation properties of proteins: a review.

Protein is an indispensable part of life. It provides nutrition for human body and flavor for food. The role of protein depends largely on the functional properties of the protein. Therefore, the elucidation of protein structure and functional properties needs to be further explored. The effects of structural and functional properties of proteins under different ultrasonic treatment conditions were reviewed. The structural changes of protein were studied by hydrogen-deuterium exchange mass spectrometry combined with fluorescence spectrometry and proteomics, and the mechanism of action was determined. The glycation site, the glycation degree, and the glycation characteristics of different sugars were determined. The protein was modified by ultrasound, and the influence of protein structure, physicochemical properties, protein glycation characteristics, and the action mechanism were analyzed by biological mass spectrometry.

Cryogenic OrbiSIMS Localizes Semi-Volatile Molecules in Biological Tissues.

OrbiSIMS is a recently developed instrument for label-free imaging of chemicals with micron spatial resolution and high mass resolution. We report a cryogenic workflow for OrbiSIMS (Cryo-OrbiSIMS) that improves chemical detection of lipids and other biomolecules in tissues. Cryo-OrbiSIMS boosts ionization yield and decreases ion-beam induced fragmentation, greatly improving the detection of biomolecules such as triacylglycerides. It also increases chemical coverage to include molecules with intermediate or high vapor pressures, such as free fatty acids and semi-volatile organic compounds (SVOCs). We find that Cryo-OrbiSIMS reveals the hitherto unknown localization patterns of SVOCs with high spatial and chemical resolution in diverse plant, animal, and human tissues. We also show that Cryo-OrbiSIMS can be combined with genetic analysis to identify enzymes regulating SVOC metabolism. Cryo-OrbiSIMS is applicable to high resolution imaging of a wide variety of non-volatile and semi-volatile molecules across many areas of biomedicine.

Reprint of "Which metaproteome? The impact of protein extraction bias on metaproteomic analyses".

Culture-independent techniques such as LC-MS/MS-based metaproteomic analyses are being increasingly utilized for the study of microbial composition and function in complex environmental samples. Although several studies have documented the many challenges and sources of bias that must be considered in these types of analyses, none have systematically characterized the effect of protein extraction bias on the biological interpretation of true environmental biofilm metaproteomes. In this study, we compared three protein extraction methods commonly used in the analyses of environmental samples [guanidine hydrochloride (GuHCl), B-PER, sequential citrate-phenol (SCP)] using nano-LC-MS/MS and an environmental marine biofilm to determine the unique biases introduced by each method and their effect on the interpretation of the derived metaproteomes. While the protein extraction efficiencies of the three methods ranged from 2.0 to 4.3%, there was little overlap in the sequence (1.9%), function (8.3% of total assigned protein families) and origin of the identified proteins from each extract. Each extraction method enriched for different protein families (GuHCl--photosynthesis, carbohydrate metabolism; B-PER--membrane transport, oxidative stress; SCP--calcium binding, structural) while 23.7-45.4% of the identified proteins lacked SwissProt annotations. Taken together, the results demonstrated that even the most basic interpretations of this complex microbial assemblage (species composition, ratio of prokaryotic to eukaryotic proteins, predominant functions) varied with little overlap based on the protein extraction method employed. These findings demonstrate the heavy influence of protein extraction on biofilm metaproteomics and provide caveats for the interpretation of such data sets when utilizing single protein extraction methods for the description of complex microbial assemblages.

Data-Independent Acquisition Peptidomics.

In recent years, data-independent acquisition (DIA) has emerged as a powerful analysis method in biological mass spectrometry (MS). Compared to the previously predominant data-dependent acquisition (DDA), it offers a way to achieve greater reproducibility, sensitivity, and dynamic range in MS measurements. To make DIA accessible to non-expert users, a multifunctional, automated high-throughput pipeline DIAproteomics was implemented in the computational workflow framework "Nextflow" ( https://nextflow.io ). This allows high-throughput processing of proteomics and peptidomics DIA datasets on diverse computing infrastructures. This chapter provides a short summary and usage protocol guide for the most important modes of operation of this pipeline regarding the analysis of peptidomics datasets using the command line. In brief, DIAproteomics is a wrapper around the OpenSwathWorkflow and relies on either existing or ad-hoc generated spectral libraries from matching DDA runs. The OpenSwathWorkflow extracts chromatograms from the DIA runs and performs chromatographic peak-picking. Further downstream of the pipeline, these peaks are scored, aligned, and statistically evaluated for qualitative and quantitative differences across conditions depending on the user's interest. DIAproteomics is open-source and available under a permissive license. We encourage the scientific community to use or modify the pipeline to meet their specific requirements.

Investigating the Mechanism of Microwave-Assisted Enzymolysis Synergized with Magnetic Bead Adsorption for Reducing Ovalbumin Allergenicity through Biomass Spectrometry Analysis.

This study found that, after microwave treatment at 560 W for 30 s, alkaline protease enzymolysis significantly reduced the allergenicity of ovalbumin (OVA). Furthermore, specific adsorption of allergenic anti-enzyme hydrolyzed peptides in the enzymatic products by immunoglobulin G (IgG) bound to magnetic bead further decreased the allergenicity of OVA. The results indicated that microwave treatment disrupts the structure of OVA, increasing the accessibility of OVA to the alkaline protease. A comparison between 17 IgG-binding epitopes identified through high-performance liquid chromatography-higher energy collisional dissociation-tandem mass spectrometry and previously reported immunoglobulin E (IgE)-binding epitopes revealed a complete overlap in binding epitopes at amino acids (AA)125-135, AA151-158, AA357-366, and AA373-381. Additionally, partial overlap was observed at positions AA41-59, AA243-252, and AA320-340. Consequently, these binding epitopes were likely pivotal in eliciting the allergic reaction to OVA, warranting specific attention in future studies. In conclusion, microwave-assisted enzymolysis synergized with magnetic bead adsorption provides an effective method to reduce the allergenicity of OVA.

High-Specificity Imaging Mass Spectrometry.

Imaging mass spectrometry (IMS) enables highly multiplexed, untargeted tissue mapping for a broad range of molecular classes, facilitating in situ biological discovery. Yet, challenges persist in molecular specificity, which is the ability to discern one molecule from another, and spatial specificity, which is the ability to link untargeted imaging data to specific tissue features. Instrumental developments have dramatically improved IMS spatial resolution, allowing molecular observations to be more readily associated with distinct tissue features across spatial scales, ranging from larger anatomical regions to single cells. High-performance mass analyzers and systems integrating ion mobility technologies are also becoming more prevalent, further improving molecular coverage and the ability to discern chemical identity. This review provides an overview of recent advancements in high-specificity IMS that are providing critical biological context to untargeted molecular imaging, enabling integrated analyses, and addressing advanced biomedical research applications.

Which metaproteome? The impact of protein extraction bias on metaproteomic analyses.

Culture-independent techniques such as LC-MS/MS-based metaproteomic analyses are being increasingly utilized for the study of microbial composition and function in complex environmental samples. Although several studies have documented the many challenges and sources of bias that must be considered in these types of analyses, none have systematically characterized the effect of protein extraction bias on the biological interpretation of true environmental biofilm metaproteomes. In this study, we compared three protein extraction methods commonly used in the analyses of environmental samples [guanidine hydrochloride (GuHCl), B-PER, sequential citrate-phenol (SCP)] using nano-LC-MS/MS and an environmental marine biofilm to determine the unique biases introduced by each method and their effect on the interpretation of the derived metaproteomes. While the protein extraction efficiencies of the three methods ranged from 2.0 to 4.3%, there was little overlap in the sequence (1.9%), function (8.3% of total assigned protein families) and origin of the identified proteins from each extract. Each extraction method enriched for different protein families (GuHCl - photosynthesis, carbohydrate metabolism; B-PER - membrane transport, oxidative stress; SCP - calcium binding, structural) while 23.7-45.4% of the identified proteins lacked SwissProt annotations. Taken together, the results demonstrated that even the most basic interpretations of this complex microbial assemblage (species composition, ratio of prokaryotic to eukaryotic proteins, predominant functions) varied with little overlap based on the protein extraction method employed. These findings demonstrate the heavy influence of protein extraction on biofilm metaproteomics and provide caveats for the interpretation of such data sets when utilizing single protein extraction methods for the description of complex microbial assemblages.

Mechanism of the Allergenicity Reduction of Ovalbumin by Microwave Pretreatment-Assisted Enzymolysis through Biological Mass Spectrometry.

Ovalbumin (OVA) is a major allergen in hen eggs. Enzymolysis has been demonstrated as an efficient method for reducing OVA allergenicity. This study demonstrates that microwave pretreatment (MP) at 400 W for 20 s assisting bromelain enzymolysis further decreases the allergenicity of OVA, which was attributed to the increase in the degree of hydrolysis and promoted the destruction of IgE-binding epitopes. The results showed that MP could promote OVA unfolding, expose hydrophobic domains, and disrupt tightly packed α-helical structures and disulfide bonds, which increased the degree of hydrolysis by 7.28% and the contents of peptides below 1 kDa from 43.55 to 85.06% in hydrolysates compared with that for untreated OVA. Biological mass spectrometry demonstrated that the number of intact IgE-binding epitope peptides in MP-assisted OVA hydrolysates decreased by 533 compared to that in hydrolysis without MP; consequently, their IgG/IgE binding rates decreased more significantly. Therefore, MP-assisted enzymolysis may provide an alternative method for decreasing the OVA allergenicity.

[Optimization and evaluation of protein C-terminal peptide enrichment strategy based on arginine cleavage].

As unique biomarkers, protein C-termini are involved in various biological processes such as protein trafficking, subcellular relocation, and signal transduction. Dysregulation of protein C-terminal status is critical during the development of various diseases, including cardiovascular, neurodegenerative, and metabolic diseases and cancer. Thus, global profiling of protein C-termini is of great value in providing mechanistic insight into biological or pathological processes, as well as for identifying potential new targets for therapeutic treatment. Polymer-based negative enrichment is a prominent C-terminomics strategy with advantages of universal applicability and parallel sample preparation. Compared with other methods of such a strategy, the profiling depth of the approaches based on enzymatic cleavage of Arg residues still needs to be improved. This greatly limits our understanding of the physiological functions and molecular mechanisms of C-termini. To add a more powerful tool for C-terminomics, Arg cleavage-based negative enrichment C-terminomics was optimized and evaluated. First, the sample preparation process was optimized. A one-pot enrichment platform based on a V-shaped filter was established, which reduced sample loss, avoided cross-contamination between reactions, and shortened sample preparation time. In addition, the protein-level acetylation conditions were investigated with the optimal labeling conditions as follows: triple coupling using 5 mmol/L Ac-NHS at pH 7.0 and 500 mmol/L ammonium for 15 min provided minimized acetylation rates (acetylation labeling efficiencies of Ser, Thr, and Tyr were lower than 4%, 2%, and 1%, respectively), along with the highest peptide-spectrum match number and satisfactory Lys labeling efficiency (up to 98%). These optimized conditions would not only minimize acetylation, but also facilitate the identification of C-terminal peptides. Second, it was speculated that the unexpected low identification rate was primarily caused by the interference of the large number of organic compounds accumulated during the peptide-level reactions, including reagents, organic buffering agents, and their complex side-reaction products. Therefore, the conditions for StageTip-based fractionation, including pH, the amount of Empore C18 beads, and the number of fractions, were optimized. As a result, by separating the sample enriched from 300 µg proteome into seven fractions, sample complexity was largely decreased and a total of 696 C-termini were identified in duplicates from strict data filtration, that is, percolator false discovery rate (FDR)<0.01, ion score≥20, and C-terminal amidation by ethanolamine. If only peptide FDR<0.01 was considered, the identified C-termini further increased to 933, which was among the largest C-terminome datasets obtained from the polymer-based strategy. Furthermore, compared with the results of a previous study, the optimized method would be a practical strategy for broader C-terminome coverage. Finally, to further broaden the coverage of the sub-C-terminome generated by Arg-specific cleavage, this study explored a new method in which ArgN-specific cleavage (cleavage at the N-terminal of Arg by LysargiNase) was combined with different N-terminal protections (dimethylation and acetylation). Among all the combinations, the additional use of the "LysargiNase+N-terminal acetylation" method increased 47% more identifications of unique C-termini on the basis of "trypsin+N-terminal demethylation" and the two covered 87% of the total C-termini. Therefore, the parallel use of the two methods would further expand the coverage of Arg-cleaved C-terminal peptides. With the analysis of the physicochemical properties of the peptides identified by the two methods, the reason why the C-terminal peptides identified by different strategies are complementary was explained. In conclusion, in this study, the optimized C-terminomics platform can deeply profile Arg cleavage-generated C-terminal peptides using a polymer-based approach. This method provides a powerful tool for the global characterization of protein C-termini.

[Large-scale enrichment and identification of human urinary N-glycoproteins/N-glycopeptides].

N-Glycosylation of proteins, an important post-translational modification in eukaryotic cells, plays an essential role in the regulation of cell adhesion, migration, signal transduction, and apoptosis. Abnormal changes in protein glycosylation are closely related to the occurrence of many critical diseases, including diabetes, tumors, and neurological, kidney, and inflammatory diseases. A non-invasive type of liquid biopsy, urine sampling has the advantage of reducing the complexity of proteomic analysis. This facilitates the design of large-scale and continuous or multi-time point sampling strategies. However, the dynamic range of urinary protein abundance is relatively large, owing to individual differences and physiological conditions. Currently, there is a lack of specialized research on individual differences, physiological fluctuations, and physiological abundance ranges of urinary N-glycoproteins in large healthy populations. Therefore, it is difficult to accurately distinguish individual differences and normal physiological fluctuations from changes caused by disease; this poses a great challenge in disease marker research. Liquid chromatography-mass spectrometry (LC-MS) is an analytical technique widely used for the large-scale profiling of proteomes in biological systems, and the enrichment of N-glycopeptides is a prerequisite for their detection by MS.In this study, we established an approach based on hydrophilic interaction chromatography (HILIC) by optimizing the activation, cleaning, and elution processes of the enrichment method, for instance through the optimization of particle size and solvent composition, and investigated the identification number, selectivity, and stability of N-glycoprotein/N-glycopeptide enrichment under different experimental conditions. We found that N-glycoproteins and N-glycopeptides were highly enriched in a trifluoroacetic acid system with 5-µm filling particles in the HILIC column. On this basis, we analyzed the levels of N-glycoproteins/N-glycopeptides in urine samples. The consistency of N-glycoprotein/N-glycopeptide levels in urine samples taken from the same healthy person for five consecutive days was investigated by correlation analysis. This analysis revealed that the urinary N-glycoproteome of the same healthy person was relatively stable over a short period of time. Next, urinary samples from 20 healthy male volunteers and 20 healthy female volunteers were enriched for N-glycoproteins/N-glycopeptides, which were profiled by MS through qualitative and quantitative analyses. Screening and functional analysis of differential proteins were then carried out. A total of 1016 N-glycoproteins and 2192 N-glycopeptides were identified in the mid-morning urine samples of the 40 healthy volunteers. A label-free quantitation strategy was used to investigate the fluctuation range of the physiologically abundant urinary N-glycopeptides. The abundance of urinary N-glycopeptides spanned across approximately five orders of magnitude. Subsequently, gender differences in the N-glycosylation levels of urinary proteins were also explored in healthy people. Functional analysis of the N-glycoproteins that exhibited gender differences in abundance was performed. Based on multivariate statistical analysis, 206 differentially expressed proteins (p<0.05, fold change (FC)> 4) were identified. In females, we found 175 significantly down-regulated N-glycoproteins and 31 significantly up-regulated N-glycoproteins with respect to males. The expression levels of N-glycopeptides between the two groups suggested a clear gender difference. To investigate the biological processes and functions of these proteins, gene ontology (GO) analysis was performed on the N-glycoproteins/N-glycopeptides differentially expressed between males and females. Metabolic pathway analysis was also carried out based on the kyoto encyclopedia of genes and genomes (KEGG). Differentially expressed N-glycoproteins were mostly associated with platelet degranulation, extracellular region, and ossification. The top three relevant pathways were glycan biosynthesis and metabolism, metabolism of cofactors and vitamins, and lipid metabolism. Overall, sex may be an important factor for urinary N-glycoproteome differences among normal individuals and should be considered in clinical applications. This study provides relevant information regarding the function and mechanisms of the urinary glycoproteome and the screening of clinical biomarkers.

Utilization of a Detergent-Based Method for Direct Microbial Cellular Lysis/Proteome Extraction from Soil Samples for Metaproteomics Studies.

Soil metaproteomics is a rapidly developing and rather complex field aimed at understanding the functionalities of soil microbial communities. One of the main challenges of such an approach is the availability of a robust and efficient protocol to extract proteins from soil microbes inhabiting this complex matrix. The wide range of soil types and the innumerable variations in soil properties confound this experimental goal. Here we present a detergent based, heat-assisted cellular lysis method coupled with trichloroacetic acid (TCA) precipitation of soil microbial proteins that has been developed in our lab and found to be reasonably robust and unbiased in extracting microbial proteins from a broad range of soils for downstream mass spectrometric characterizations of microbial metabolic activities in natural ecosystems.