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The human plasma glycoproteome holds enormous potential to identify personalized biomarkers to diagnose and understand disease. Recent advances in mass spectrometry and software development are opening novel avenues to mine the glycoproteome for protein- and site-specific glycosylation changes. Here, we describe a novel plasma N-glycoproteomics method for disease diagnosis and evaluated its clinical applicability by performing comparative glycoproteomics in blood plasma of 40 controls and a cohort of 74 patients with 13 different genetic diseases that directly impact the protein N-glycosylation pathway. The plasma glycoproteome yielded high-specificity biomarker signatures for each of the individual genetic defects. Bioinformatic analyses revealed site-specific glycosylation differences that could be explained by underlying glycobiology and in specific diseases by protein-intrinsic factors. Our work illustrates the strong potential of plasma glycoproteomics to significantly increase specificity of glycoprotein biomarkers with direct insights in site-specific glycosylation changes to better understand the mechanisms underlying human disease.

Disulfide bonds within cysteine-rich peptides are important for their stability and biological function. In this respect, the correct disulfide connectivity plays a decisive role. The differentiation of individual disulfide-bonded isomers by traditional high-performance liquid chromatography (HPLC) and mass spectrometry (MS) is limited due to the similarity in physicochemical properties of the isomers sharing the same amino acid sequence. By using trapped ion mobility spectrometry-mass spectrometry (TIMS-MS), several 2- and 3-disulfide-bonded isomers of the μ-conotoxin PIIIA were investigated for their distinguishability by collision cross section (CCS) values and their characteristic mobilogram traces. The isomers could be differentiated by TIMS-MS and also identified in mixing experiments. Thus, TIMS-MS provides a highly valuable and enriching addition to standard HPLC and MS analysis of conformational isomers of disulfide-rich peptides and proteins.

Biopharmaceutical sequences can be well confirmed by multiple protease digests-e.g., trypsin, elastase, and chymotrypsin-followed by LC-MS/MS data analysis. High quality data can be used for de novo sequencing as well. PASEF (Parallel Accumulation and Serial Fragmentation) on the timsTOF instrument has been used to accelerate proteome and protein sequence studies and increase sequence coverage concomitantly.Here we describe the protein chemical and LC-MS methods in detail to generate high quality samples for sequence characterization from only 3 digests. We applied PASEF to generate exhaustive protein sequence coverage maps by combination of results from the three enzyme digests using a short LC gradient. The data quality obtained was high and adequate for determining antibody sequences de novo.Nivolumab and dulaglutide were digested by 3 enzymes individually. For nivolumab, 94/94/90% sequence coverage and 86/84/85% fragment coverage were obtained from the individual digest analysis with trypsin/chymotrypsin/elastase, respectively. For dulaglutide, 96/100/90% sequence coverage and 92/90/83% fragment coverage were obtained. The merged peptide map from the 3 digests for nivolumab resulted in ∼550 peptides; enough to safely confirm the full sequences and to determine the nivolumab sequence de novo.

Biopharmaceutical sequences can be well confirmed by multiple protease digests-e.g., trypsin, elastase, and chymotrypsin-followed by LC-MS/MS data analysis. High quality data can be used for de novo sequencing as well. PASEF (Parallel Accumulation and Serial Fragmentation) on the timsTOF instrument has been used to accelerate proteome and protein sequence studies and increase sequence coverage concomitantly.Here we describe the protein chemical and LC-MS methods in detail to generate high quality samples for sequence characterization from only 3 digests. We applied PASEF to generate exhaustive protein sequence coverage maps by combination of results from the three enzyme digests using a short LC gradient. The data quality obtained was high and adequate for determining antibody sequences de novo.Nivolumab and dulaglutide were digested by 3 enzymes individually. For nivolumab, 94/94/90% sequence coverage and 86/84/85% fragment coverage were obtained from the individual digest analysis with trypsin/chymotrypsin/elastase, respectively. For dulaglutide, 96/100/90% sequence coverage and 92/90/83% fragment coverage were obtained. The merged peptide map from the 3 digests for nivolumab resulted in ∼550 peptides; enough to safely confirm the full sequences and to determine the nivolumab sequence de novo.

As the SARS-CoV-2 pandemic is still ongoing and dramatically influences our life, the need for recombinant proteins for diagnostics, vaccine development, and research is very high. The spike (S) protein, and particularly its receptor binding domain (RBD), mediates the interaction with the ACE2 receptor on host cells and may be modulated by its structural features. Therefore, well characterized recombinant RBDs are essential. We have performed an in-depth structural and functional characterization of RBDs expressed in Chinese hamster ovary (CHO) and human embryonic kidney (HEK293) cells. To structurally characterize the native RBDs (comprising N- and O-glycans and additional posttranslational modifications) a multilevel mass spectrometric approach was employed. Released glycan and glycopeptide analysis were integrated with intact mass analysis, glycan-enzymatic dissection and top-down sequencing for comprehensive annotation of RBD proteoforms. The data showed distinct glycosylation for CHO- and HEK293-RBD with the latter exhibiting antenna fucosylation, higher level of sialylation and a combination of core 1 and core 2 type O-glycans. Additionally, from both putative O-glycosylation sites, we could confirm that O-glycosylation was exclusively present at T323, which was previously unknown. For both RBDs, the binding to SARS-CoV-2 antibodies of positive patients and affinity to ACE2 receptor was addressed showing comparable results. This work not only offers insights into RBD structural and functional features but also provides a workflow for characterization of new RBDs and batch-to-batch comparison.

Hydrogen/deuterium exchange monitored by mass spectrometry (HDX-MS) enables the study of protein dynamics by measuring the time-resolved deuterium incorporation into a protein incubated in D2O. Using electron-based fragmentation in the gas phase it is possible to measure deuterium uptake at single-residue resolution. However, a prerequisite for this approach is that the solution-phase labeling is conserved in the gas phase prior to precursor fragmentation. It is therefore essential to reduce or even avoid intramolecular hydrogen/deuterium migration, which causes randomization of the deuterium labels along the peptide (hydrogen scrambling). Here, we describe an optimization strategy for reducing scrambling to a negligible level while minimizing the impact on sensitivity on a high-resolution Q-TOF equipped with ETD and an electrospray ionization interface consisting of a glass transfer capillary followed by a dual ion funnel. In our strategy we narrowed down the optimization to two accelerating potentials, and we defined the optimization of these in a simple rule by accounting for their interdependency in relation to scrambling and transmission efficiency. Using this rule, we were able to reduce scrambling from 75% to below 5% on average using the highly scrambling-sensitive quadruply charged P1 peptide scrambling probe resulting in a minor 33% transmission loss. To demonstrate the applicability of this approach, we probe the dynamics of certain regions in cytochrome c.

Kinases of the Aurora family are essential for the proper execution of mitosis in eukaryotes, and Aurora inhibitors are in clinical trials as anticancer drugs. We applied site-specific quantitative phosphoproteomics in conjunction with chemical inhibition of Aurora to identify mitotic Aurora substrates in fission yeast on a proteome-wide scale. We detected 8000 phosphorylation events, of which we assigned almost 6000 to a specific residue; 220 were reduced in cells exposed to the Aurora inhibitor. After controlling for unspecific effects of the inhibitor, we classified 70 sites (on 42 proteins) as probable targets of Aurora, which enabled refinement of the consensus sequence for phosphorylation by Aurora. Several of the substrate candidates were known targets of Aurora, validating the approach, but most represented newly detected Aurora substrates. The involvement of these Aurora substrates in diverse aspects of chromatin dynamics suggests that in addition to its established role in controlling chromosome compaction and attachment to the mitotic spindle, Aurora influences other aspects of chromatin architecture and function during mitosis.