Mass spectral enhanced detection of Ubls using SWATH acquisition: MEDUSA--simultaneous quantification of SUMO and ubiquitin-derived isopeptides

Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel

Single-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput, and robustness, which we address here by a streamlined multiplexed workflow using data-independent acquisition (mDIA). We demonstrate automated and complete dimethyl labeling of bulk or single-cell samples, without losing proteomic depth. Lys-N digestion enables five-plex quantification at MS1 and MS2 level. Because the multiplexed channels are quantitatively isolated from each other, mDIA accommodates a reference channel that does not interfere with the target channels. Our algorithm RefQuant takes advantage of this and confidently quantifies twice as many proteins per single cell compared to our previous work (Brunner et al, PMID 35226415), while our workflow currently allows routine analysis of 80 single cells per day. Finally, we combined mDIA with spatial proteomics to increase the throughput of Deep Visual Proteomics seven-fold for microdissection and four-fold for MS analysis. Applying this to primary cutaneous melanoma, we discovered proteomic signatures of cells within distinct tumor microenvironments, showcasing its potential for precision oncology.

MS-based proteomics of body fluids: The end of the beginning

Accurate biomarkers are a crucial and necessary precondition for precision medicine, yet existing ones are often unspecific and new ones have been very slow to enter the clinic. Mass spectrometry (MS)-based proteomics excels by its untargeted nature, specificity of identification and quantification making it an ideal technology for biomarker discovery and routine measurement. It has unique attributes compared to affinity binder technologies, such as OLINK Proximity Extension Assay and SOMAscan. In a previous review we described technological and conceptual limitations that had held back success (Geyer et al., 2017). We proposed a 'rectangular strategy' to better separate true biomarkers by minimizing cohort-specific effects. Today, this has converged with advances in MS-based proteomics technology, such as increased sample throughput, depth of identification and quantification. As a result, biomarker discovery studies have become more successful, producing biomarker candidates that withstand independent verification and, in some cases, already outperform state-of-the-art clinical assays. We summarize developments over the last years, including the benefits of large and independent cohorts, which are necessary for clinical acceptance. They are also required for machine learning or deep learning. Shorter gradients, new scan modes and multiplexing are about to drastically increase throughput, cross-study integration, and quantification, including proxies for absolute levels. We have found that multi-protein panels are inherently more robust than current single analyte tests and better capture the complexity of human phenotypes. Routine MS measurement in the clinic is fast becoming a viable option. The full set of proteins in a body fluid (global proteome) is the most important reference and the best process control. Additionally, it increasingly has all the information that could be obtained from targeted analysis although the latter may be the most straightforward way to enter into regular use. Many challenges remain, not least of a regulatory and ethical nature, but the outlook for MS-based clinical applications has never been brighter.

Single-cell proteomics enabled by next-generation sequencing or mass spectrometry

In the last decade, single-cell RNA sequencing routinely performed on large numbers of single cells has greatly advanced our understanding of the underlying heterogeneity of complex biological systems. Technological advances have also enabled protein measurements, further contributing to the elucidation of cell types and states present in complex tissues. Recently, there have been independent advances in mass spectrometric techniques bringing us one step closer to characterizing single-cell proteomes. Here we discuss the challenges of detecting proteins in single cells by both mass spectrometry and sequencing-based methods. We review the state of the art for these techniques and propose that there is a space for technological advancements and complementary approaches that maximize the advantages of both classes of technologies.

Synchro-PASEF Allows Precursor-Specific Fragment Ion Extraction and Interference Removal in Data-Independent Acquisition

Data-independent acquisition (DIA) methods have become increasingly popular in mass spectrometry-based proteomics because they enable continuous acquisition of fragment spectra for all precursors simultaneously. However, these advantages come with the challenge of correctly reconstructing the precursor-fragment relationships in these highly convoluted spectra for reliable identification and quantification. Here, we introduce a scan mode for the combination of trapped ion mobility spectrometry with parallel accumulation-serial fragmentation (PASEF) that seamlessly and continuously follows the natural shape of the ion cloud in ion mobility and peptide precursor mass dimensions. Termed synchro-PASEF, it increases the detected fragment ion current several-fold at sub-second cycle times. Consecutive quadrupole selection windows move synchronously through the mass and ion mobility range. In this process, the quadrupole slices through the peptide precursors, which separates fragment ion signals of each precursor into adjacent synchro-PASEF scans. This precisely defines precursor-fragment relationships in ion mobility and mass dimensions and effectively deconvolutes the DIA fragment space. Importantly, the partitioned parts of the fragment ion transitions provide a further dimension of specificity via a lock-and-key mechanism. This is also advantageous for quantification, where signals from interfering precursors in the DIA selection window do not affect all partitions of the fragment ion, allowing to retain only the specific parts for quantification. Overall, we establish the defining features of synchro-PASEF and explore its potential for proteomic analyses.

Site-specific proteomic strategies to identify ubiquitin and SUMO modifications: Challenges and opportunities

Ubiquitin and SUMO modify thousands of substrates to regulate most cellular processes. System-wide identification of ubiquitin and SUMO substrates provides global understanding of their cellular functions. In this review, we discuss the biological importance of site-specific modifications by ubiquitin and SUMO regulating the DNA damage response, protein quality control and cell cycle progression. Furthermore we discuss the machinery responsible for these modifications and methods to purify and identify ubiquitin and SUMO modified sites by mass spectrometry. We provide a framework to aid in the selection of appropriate purification, digestion and acquisition strategies suited to answer different biological questions. We highlight opportunities in the field for employing innovative technologies, as well as discuss challenges and long-standing questions in the field that are difficult to address with the currently available tools, emphasizing the need for further innovation.

Proteomic approaches for the profiling of ubiquitylation events and their applications in drug discovery

Protein ubiquitylation regulates almost all aspects of the biological processes including gene expression, DNA repair, cell proliferation and apoptosis in eukaryotic cells. Dysregulation of protein ubiquitylation caused by abnormal expression of enzymes in the ubiquitin system results in the onset of many diseases including cancer, neurodegenerative diseases, and metabolic syndromes. Therefore, targeting the ubiquitin system becomes a promising research area in drug discovery. Identification of protein ubiquitylation sites is critical for revealing the key ubiquitylation events associated with diseases and specific signaling pathways and for elucidating the biological functions of the specific ubiquitylation events. Many approaches that enrich for the ubiquitylated proteins and ubiquitylated peptides at the protein and peptide levels have been developed to facilitate their identification by MS. In this paper, we will review the proteomic approaches available for the identification of ubiquitylation events at the proteome scale and discuss their advantages and limitations. We will also brief the application of the profiling of ubiquitylation events in drug target discovery and in target validation for proteolysis-targeting chimera (PROTAC). Possible future research directions in this field will also be discussed. SIGNIFICANCE: Ubiquitylation plays critical roles in regulating many biological processes in eukaryotic cells. Identification of ubiquitylation sites can provide the essential information for the functional study of the specific modified substrates. Since ubiquitylated proteins have much lower abundance than non-ubiquitylated proteins, enrichment of ubiquitylated proteins or peptides is critical for their identification by MS. This review focuses on different enrichment approaches that facilitate their isolation and identification by MS and discusses the advantages and drawbacks of these approaches. The application of the profiling of ubiquitylation events in drug target discovery and future research directions will be beneficial to the research community.

A Combined Chemical Derivatization/Mass Spectrometric Method for the Enhanced Detection and Relative Quantification of Protein Ubiquitination

Mass spectrometry (MS) is a sensitive analytical technique with wide application across the sciences including for the detection of peptides and proteins in biological analysis. Ubiquitinated (Ub) proteins are typically analyzed by proteolytic digestion and subsequent chromatographic separation followed by MS detection of the resulting isopeptides. Here we describe a novel method which enables enhanced detection of this important posttranslational modification (PTM) by use of a simple chemical labeling strategy prior to Data-Independent Acquisition (DIA) using a SWATH-based acquisition approach on a suitable Quadrupole-Time-Of-Flight (Q-TOF) mass spectrometer.

The strategies for identification and quantification of SUMOylation

SUMOylation is a post-translational modification that plays critical roles in a multitude of cellular processes including transcription, cellular localization, DNA repair and cell cycle progression. Similar to ubiquitin, the small ubiquitin-like modifiers (SUMOs) are covalently attached to the epsilon amino group of lysine residues in the substrates. To understand the regulation and the dynamics of post-translational modifications (PTMs), the identification and quantification of SUMOylation is strictly needed. Although numerous proteomic approaches have been developed to identify hundreds of SUMO target proteins, the number of SUMOylation signatures identified from endogenous modified proteins is limited, and the identification of precise acceptor sites remains a challenge due to the low abundance of in vivo SUMO-modified proteins and the high activity of SUMO-specific proteases in cell lysates. In particular, very few sensitive strategies are available for accurate quantification of SUMO target proteins. Within the past decade, mass spectrometry-based strategies have been the most popular technologies for proteome-wide studies of SUMOylation. Recently, some new approaches such as single-molecule detection have been introduced. In this review, we summarize the strategies that have been exploited for enrichment, purification and identification of SUMOylation substrates and acceptor sites as well as ultrasensitive quantification of SUMOylation. We highlight the emerging trends in this field as well.

Application of the broadband collision-induced dissociation (bbCID) mass spectrometry approach for protein glycosylation and phosphorylation analysis

RATIONALE

Analysis of post-translationally modified peptides by mass spectrometry (MS) remains incomplete, in part due to incomplete sampling of all peptides which is inherent to traditional data-dependent acquisition (DDA). An alternative MS approach, data-independent acquisition (DIA), enables comprehensive recording of all detectable precursor and product ions, independent of precursor intensity. The use of broadband collision-induced dissociation (bbCID), a DIA method, was evaluated for the identification of protein glycosylation and phosphorylation.

METHODS

bbCID was applied to identify glycopeptides and phosphopeptides generated from standard proteins using a high-resolution Bruker maXis 3G mass spectrometer. In bbCID, precursor and product ion spectra were obtained by alternating low and high collision energy. Precursor ions were assigned manually based on the detection of diagnostic ions specific to either glycosylation or phosphorylation. The composition of the glycan modification was resolved in the positive ion mode, while the level of phosphorylation was investigated in the negative ion mode.

RESULTS

The results demonstrate for the first time that the use of a bbCID approach is suitable for the identification of glycopeptides and phosphopeptides based on the detection of specific diagnostic and associated precursor ions. The novel use of bbCID in negative ion mode allowed the discrimination of singly and multiply phosphorylated peptides based on the detection of phosphate diagnostic ions. The results also demonstrate the ability of this approach to allow the identification of glycan composition in N- and O-linked glycopeptides, in positive ion mode.

CONCLUSIONS

We contend that bbCID is a valuable addition to the existing toolkit for PTM discovery. Moreover, this technique could be employed to direct targeted proteomics methods, particularly where there is no a priori information on glycosylation or phosphorylation status. This technique is immediately relevant to the characterisation of individual proteins or biological samples of low complexity, as demonstrated for the analysis of the glycosylation status of a therapeutic protein.

Exploring the Rampant Expansion of Ubiquitin Proteomics

The ubiquitin proteasome system can arguably affect all cellular proteins with few exceptions. In addition to regulating many pathways such as cell cycle progression, inflammation, gene expression, DNA repair, and vesicle trafficking-to just name a few-ubiquitination can occur to any nascent or newly translated protein that misfolds. In the past years, substantial progress has been achieved in advancing our global understanding of the ubiquitinome-the ensemble of ubiquitinated proteins within a cell-using mass spectrometry-based proteomics. Notably, over 50,000 conjugation sites have now been reported. In this review, we discuss recent proteomics methods used to expand our knowledge of the ubiquitin proteasome system through the identification of ubiquitination sites, poly-ubiquitin chain types, and E3 ubiquitin ligase substrates.

Proteomic Analysis of Vibrio parahaemolyticus Under Cold Stress

Vibrio parahaemolyticus is a kind of food-borne pathogenic bacterium, which can seriously infect food, especially seafood causing gastroenteritis and other disease. We studied the global proteome responses of V. parahaemolyticus under cold stress by nano-liquid chromatography-tandem mass spectrometry to improve the present understanding of V. parahaemolyticus proteomics events under cold stress. A total of 1151 proteins were identified and 101 proteins were differentially expressed, of which 69 were significantly up-regulated and 32 were downregulated. Functional categorization of these proteins revealed distinct differences between cold-stressed and control cells. These proteins were grouped into 21 functional categories by the clusters of orthologous groups (COG) analysis. The most of up-regulated proteins were functionally categorized as nucleotide transport and metabolism, transcription, function unknown, and defense mechanisms. These up-regulated proteins play an important role under cold stress.

Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques

INTRODUCTION

While selected/multiple-reaction monitoring (SRM or MRM) is considered the gold standard for quantitative protein measurement, emerging data-independent acquisition (DIA) using high-resolution scans have opened a new dimension of high-throughput, comprehensive quantitative proteomics. These newer methodologies are particularly well suited for discovery of biomarker candidates from human disease samples, and for investigating and understanding human disease pathways. Areas covered: This article reviews the current state of targeted and untargeted DIA mass spectrometry-based proteomic workflows, including SRM, parallel-reaction monitoring (PRM) and untargeted DIA (e.g., SWATH). Corresponding bioinformatics strategies, as well as application in biological and clinical studies are presented. Expert commentary: Nascent application of highly-multiplexed untargeted DIA, such as SWATH, for accurate protein quantification from clinically relevant and disease-related samples shows great potential to comprehensively investigate biomarker candidates and understand disease.

Proteomic techniques to probe the ubiquitin landscape

Protein ubiquitination is a powerful modulator of cellular functions. Classically linked to the degradation of proteins, it also plays a role in intracellular localization, DNA damage response, vesicle fusion events, and the immune and transcriptional responses. Ubiquitin is versatile and can code for several distinct signals, either by adding a single ubiquitin or forming a chain of ubiquitins on the target protein. The enzymatic cascade associated with the cellular process determines the nature of the modification. Numerous efforts have been made for the identification of ubiquitin acceptor sites in the target proteins using genetic, biochemical or MS-based proteomic methods, such as affinity-based enrichment of ubiquitinated proteins, and antibody-based enrichment of modified peptides. Modern instrumentation enables quantitative MS strategies to identify and characterize hundreds of ubiquitin substrates in a single analysis making it the dominant method for ubiquitin site detection. Characterization of the interubiquitin connectivity in ubiquitin polymers has also moved into focus, with the field of targeted proteomics techniques proving invaluable for identifying and quantifying linkage types found in such polyubiquitin chains. This review seeks to provide an overview of the many MS-based proteomics techniques available for exploring this dynamic field.

Quantifying ubiquitin signaling

Ubiquitin (UB)-driven signaling systems permeate biology, and are often integrated with other types of post-translational modifications (PTMs), including phosphorylation. Flux through such pathways is dictated by the fractional stoichiometry of distinct modifications and protein assemblies as well as the spatial organization of pathway components. Yet, we rarely understand the dynamics and stoichiometry of rate-limiting intermediates along a reaction trajectory. Here, we review how quantitative proteomic tools and enrichment strategies are being used to quantify UB-dependent signaling systems, and to integrate UB signaling with regulatory phosphorylation events, illustrated with the PINK1/PARKIN pathway. A key feature of ubiquitylation is that the identity of UB chain linkage types can control downstream processes. We also describe how proteomic and enzymological tools can be used to identify and quantify UB chain synthesis and linkage preferences. The emergence of sophisticated quantitative proteomic approaches will set a new standard for elucidating biochemical mechanisms of UB-driven signaling systems.

Identification and characterization of HTLV-1 HBZ post-translational modifications

Human T-cell leukemia virus type-1 (HTLV-1) is estimated to infect 15–25 million people worldwide, with several areas including southern Japan and the Caribbean basin being endemic. The virus is the etiological agent of debilitating and fatal diseases, for which there is currently no long-term cure. In the majority of cases of leukemia caused by HTLV-1, only a single viral gene, hbz, and its cognate protein, HBZ, are expressed and their importance is increasingly being recognized in the development of HTLV-1-associated disease. We hypothesized that HBZ, like other HTLV-1 proteins, has properties and functions regulated by post-translational modifications (PTMs) that affect specific signaling pathways important for disease development. To date, PTM of HBZ has not been described. We used an affinity-tagged protein and mass spectrometry method to identify seven modifications of HBZ for the first time. We examined how these PTMs affected the ability of HBZ to modulate several pathways, as measured using luciferase reporter assays. Herein, we report that none of the identified PTMs affected HBZ stability or its regulation of tested pathways.