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An unprecedented and direct PS‐MS (paper spray ionization mass spectrometry) method was proposed for the detection of native peptides, that is, glutathiones (GSHs), homoglutathiones (hGSHs), and phytochelatins (PCs), in basil (Ocimum basilicum L.) roots before and after cadmium exposure. The roots were submitted to cold maceration followed by sonication with formic acid as the extractor solvent for sample preparation. PS‐MS was used to analyze such extracts in the positive mode, and the results allowed for the detection of several GSHs, hGSHs, and PCs. Some of these PCs were not distinguished in the control samples, that is, basil roots not exposed to cadmium. Other PCs were noticed in both types of roots, uncontaminated and cadmium‐contaminated, but the intensities were higher in the former samples. Moreover, long‐time exposure to cadmium stimulated the formation of some of these PCs and their cadmium complexes. The results, therefore, provided some crucial insights into the defense mechanism of plants against an external stress condition due to exposure to a toxic heavy metal. The present study represents a promising alternative to investigate other crucial physiological processes in plants submitted to assorted stress conditions. [ABSTRACT FROM AUTHOR]

We developed a simple, paper‐based device that enables sensitive detection by mass spectrometry (MS) without solid phase extraction or other sample preparation. Using glass fiber filter papers within a 3D printed holder, the device employs electrokinetic manipulations to stack, separate, and desalt charged molecules on paper prior to spray into the MS. Due to counter‐balanced electroosmotic flow and electrophoresis, charged analytes stack on the paper and desalting occurs in minutes. One end of the paper strip was cut into a sharp point and positioned near the inlet of a MS. The stacked analyte bands move toward the paper tip with the EOF where they are ionized by paper spray. The device was applied to analysis of PFAS in tap water with sub part‐per‐trillion detection limits in less than ten minutes with no sample pretreatment. Analysis of opioids in urine also occurs in minutes. The crucial parameters to enable stacking, separation, and MS ionization of both positively and negatively charged analytes were determined and optimized. Experimental and computational modeling studies confirm the electrokinetic stacking and analyte transport mechanisms. On‐paper separations were carried out by stacking analyte bands at different locations depending on their electrophoretic mobility, achieving baseline separation in some cases. [ABSTRACT FROM AUTHOR]

A selected ion monitoring (SIM) approach combined with high resolution mass spectrometry is employed to identify and distinguish common SARS-CoV2 omicron and recombinant variants in clinical specimens. Mutations within the receptor binding domain (RBD) within the surface spike protein of the virus result in a combination of peptide segments of unique sequence and mass that were monitored to detect BA.2.75 (including CH.1.1) and XBB (including 1.5) variants prevalent in the state's population in early 2023. SIM detection of pairs of peptides unique to each variant were confidently detected and differentiated in 57.3% of the specimens, with a further 10 or 17.5% (for a total of 74.8%) detected based on a single peptide biomarker. The BA.2.75 sub-variant was detected in 18.7%, while recombinant variants XBB and XBB.1.5 were detected in 13.3% and 25.3% of the specimens respectively, consistent with circulating levels in the population characterised by RT-PCR. Virus was detected in 75 SARS-CoV2 positive specimens by mass spectrometry down to the low or mid 104 copy level, with a single false positive and no false negative identified. This article is the first paper to characterise recombinant strains of the SARS-CoV2 virus by this, or any other, MS method. [ABSTRACT FROM AUTHOR]

Keywords: bariatric surgery; mass spectrometry; peptide YY EN bariatric surgery mass spectrometry peptide YY 763 765 3 05/05/23 20230601 NES 230601 We note that Maurer et al., in their correspondence,[1] have raised some concerns about the preanalytical and analytical validation of the peptide YY (PYY) assay described in our paper 'The postprandial secretion of peptide YY SB 1 sb SB -36 sb and SB 3 sb SB -36 sb in obesity is differentially increased after gastric bypass versus sleeve gastrectomy'.[2] The validation and assay characteristics were not the primary objectives of the paper. We have studied the stability of both PYY species with our inhibitor mix containing DPP4 inhibitor and Aprotinin, where we spiked PYY SB 1 sb SB -36 sb and PYY SB 3 sb SB -36 sb into plasma EDTA and LH from three different volunteers. [Extracted from the article]

Database peptide search is the primary computational technique for identifying peptides from the mass spectrometry (MS) data. Graphical Processing Units (GPU) computing is now ubiquitous in the current-generation of high-performance computing (HPC) systems, yet its application in the database peptide search domain remains limited. Part of the reason is the use of sub-optimal algorithms in the existing GPU-accelerated methods resulting in significantly inefficient hardware utilization. In this paper, we design and implement a new-age CPU-GPU HPC framework, called GiCOPS, for efficient and complete GPU-acceleration of the modern database peptide search algorithms on supercomputers. Our experimentation shows that the GiCOPS exhibits between 1.2 to 5 × speed improvement over its CPU-only predecessor, HiCOPS, and over 10 × improvement over several existing GPU-based database search algorithms for sufficiently large experiment sizes. We further assess and optimize the performance of our framework using the Roofline Model and report near-optimal results for several metrics including computations per second, occupancy rate, memory workload, branch efficiency and shared memory performance. Finally, the CPU-GPU methods and optimizations proposed in our work for complex integer- and memory-bounded algorithmic pipelines can also be extended to accelerate the existing and future peptide identification algorithms. GiCOPS is now integrated with our umbrella HPC framework HiCOPS and is available at: https://github.com/pcdslab/gicops. [ABSTRACT FROM AUTHOR]

Interlayer spray is proposed as a convenient ionization source for direct analysis by mass spectrometry. Two slices of non-absorbent substrate hold the liquid sample to form a sandwich structure. By applying a high voltage to the sample, spray is generated at the tip of the substrate. The sampling procedure can be operated easily in an open condition and the spray is processed in a semi-enclosed condition, which leads to a relatively stable process. An ultralow amount (<2 μL) of the liquid sample can be analyzed without dilution, which ensures that the natural concentration and properties of the target are maintained. Less influence from the substrate is achieved compared with the spray methods based on porous absorbent materials, which results in a sensitivity enhancement of large molecule samples. It is demonstrated that the interlayer spray is applicable for the analysis of various compounds, including therapeutic drugs, peptides, and proteins. Good linearity can be obtained at a concentration as low as 50 ng/mL in the quantitative analysis for imatinib. We also show the ability to identify the chemical residuals on surfaces with high sensitivity by the 'wipe-spray' method, which is useful for the fast screening of illicit substances. Interlayer spray working with mass spectrometry provides a promising method for direct analysis in an ambient environment. [Figure not available: see fulltext.] [ABSTRACT FROM AUTHOR]

Ependymoma pediatric brain tumor occurs at approximate frequencies of 10–15% in supratentorial and 20–30% in posterior fossa regions. These tumors have an almost selective response to surgery and relative and confirmed resistance to radiotherapy and chemotherapic agents, respectively. Alongside histopathological grading, clinical and treatment evaluation of ependymomas currently consider the tumor localization and the genomic outlined associated molecular subgroups, with the supratentorial and the posterior fossa ependymomas nowadays considered diverse diseases. On these grounds and in trying to better understand the molecular features of these tumors, the present investigation aimed to originally investigate the proteomic profile of pediatric ependymoma tissues of different grade and localization by mass spectrometry platforms to disclose potential distinct protein phenotypes. To this purpose, acid-soluble and acid-insoluble fractions of ependymoma tumor tissues homogenates were analyzed by LC-MS following both the top-down and the shotgun proteomic approaches, respectively, to either investigate the intact proteome or its digested form. The two approaches were complementary in profiling the ependymoma tumor tissues and showed distinguished profiles for supratentorial and posterior fossa ependymomas and for WHO II and III tumor grades. Top-down proteomic analysis revealed statistically significant higher levels of thymosin beta 4, 10 kDa heat shock protein, non-histone chromosomal protein HMG-17, and mono-/uncitrullinated forms ratio of the glial fibrillary acidic protein (GFAP) fragment 388–432 in supratentorial ependymomas—the same GFAP fragment as well as the hemoglobin alpha- and the beta-chain marked grade II with respect to grade III posterior fossa ependymomas. Gene ontology classification of shotgun data of the identified cancer and the non-cancer related proteins disclosed protein elements exclusively marking tumor localization and pathways that were selectively overrepresented. These results, although preliminary, seem consistent with different protein profiles of ependymomas of diverse grade of aggressiveness and brain region development and contributed to enlarging the molecular knowledge of this still enigmatic tumor. [ABSTRACT FROM AUTHOR]

Protein N-glycosylation is one of the most important post-translational modifications and is involved in many biological processes, with aberrant changes in protein N-glycosylation patterns being closely associated with several diseases, including the progression and spreading of tumours. In light of this, identifying these aberrant protein glycoforms in tumours could be useful for understanding the molecular mechanism of this multifactorial disease, developing specific biomarkers and finding novel therapeutic targets. We investigated the urinary N-glycoproteome of clear cell renal cell carcinoma (ccRCC) patients at different stages (n = 15 at pT1 and n = 15 at pT3), and of non-ccRCC subjects (n = 15), using an N-glyco-FASP-based method. Using label-free nLC-ESI MS/MS, we identified and quantified several N-glycoproteins with altered expression and abnormal changes affecting the occupancy of the glycosylation site in the urine of RCC patients compared to control. In particular, nine of them had a specific trend that was directly related to the stage progression: CD97, COCH and P3IP1 were up-expressed whilst APOB, FINC, CERU, CFAH, HPT and PLTP were down-expressed in ccRCC patients. Overall, these results expand our knowledge related to the role of this post-translational modification in ccRCC and translation of this information into pre-clinical studies could have a significant impact on the discovery of novel biomarkers and therapeutic target in kidney cancer. [ABSTRACT FROM AUTHOR]

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a versatile bioanalytical technique for protein analysis. Since the reliability of HDX-MS analysis considerably depends on the retention of deuterium labels in the post-labeling workflow, deuterium/hydrogen (D/H) back exchange prevention strategies, including decreasing the pH, temperature, and exposure time to protic sources of the deuterated samples, are widely adopted in the conventional HDX-MS protocol. Herein, an alternative and effective back exchange prevention strategy based on the encapsulation of a millimeter droplet of a labeled peptide solution in a water-immiscible organic solvent (cyclohexane) is proposed. Cyclohexane was used to prevent the undesirable uptake of water by the droplet from the atmospheric vapor through the air–water interface. Using the pepsin digest of deuterated myoglobin, our results show that back exchange kinetics of deuterated peptides is retarded in a millimeter droplet as compared to that in the bulk solution. Performing pepsin digestion directly in a water-in-oil droplet at room temperature (18–21 °C) was found to preserve more deuterium labels than that in the bulk digestion with an ice-water bath. Based on the present findings, it is proposed that keeping deuterated peptides in the form of water-in-oil droplets during the post-labelling workflow will facilitate the preservation of deuterium labels on the peptide backbone and thereby enhance the reliability of the H/D exchange data. [ABSTRACT FROM AUTHOR]

Although data-independent acquisition (DIA) has the ability to identify and quantify all peptides in a sample, highly complex mixed mass spectra present difficulties for accurate peptide and protein identification. Additionally, the correspondence between the precursor and its fragments is broken, making it challenging to perform peptide identification directly using conventional DDA search engines. In this paper, we propose a cosine-similarity-based deconvolution method: CorrDIA. This is achieved by reconstructing the correspondence between precursor and fragment ions based on the consistency of extracted ion chromatograms (XICs). A deisotope peak cluster operation is added and centered on the MS/MS spectrum to improve the accuracy of spectrum interpretation and increase the number of identified peptides. The resulting MS/MS spectra can be identified using any data-dependent acquisition (DDA) sequencing software. The experimental results demonstrate that the number of peptide results increased by 12 percent and 21 percent respectively, and the repetition rate decreased by 12 percent. This reduces mass spectra complexity and difficulties in mass spectra analysis without the need for any mass spectra libraries. [ABSTRACT FROM AUTHOR]

We describe the construction and characterization of a novel membrane designed to allow proteins separated by gel electrophoresis (SDS-PAGE) to be detected as peptides by mass spectrometry in an efficient and comprehensive manner. The key attribute of the membrane is a bifunctional design that allows for the digestion of protein(s) and retention of the resulting peptides with minimal lateral diffusion. Silane chemistries are used to differentially treat the opposing surfaces of a glass filter paper to enable this unique capability. [ABSTRACT FROM AUTHOR]

Mass spectrometry is widely employed in various analytical fields for both compound identification and quantification. While in the case of compound identification, the high‐resolution instrument has increased selectivity and characterization efficiency; in the case of quantitative analysis, some critical tasks actually remain. In particular, different compounds exhibit different ionization efficiency, and this introduces the need to have a calibration standard for each analyte. In this paper, we present a new elaborative data technology, which makes it possible to standardize calibration between different instruments and molecules, making it absolute. The method was applied to data acquired by means of liquid chromatography mass spectrometry by means of an ion trap analyzer. The approach is based on the correlation of the ion trap space charge effect and the analyte concentration. The method was validated in the analysis of compounds having different polarity: hydrossitirosol, arginine, thyodiglicolic acid, and a peptide mixture of bacteria cultures derived the human gut microbiome where was found poliovirus. Moreover, it was used to obtain the absolute quantitation of peptides originating from the tryptic digestion of bacterial proteins in the fecal samples. It was therefore possible to identify and quantify different derived bacterial proteins of the poliomyelitis virus coded in bacteria derived from the gastrointestinal tract. [ABSTRACT FROM AUTHOR]

For mass spectrometry-based diagnostics of microorganisms, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is currently routinely used to identify urinary tract pathogens. However, it requires a lengthy culture step for accurate pathogen identification, and is limited by a relatively small number of available species in peptide spectral libraries (≤3329). Here, we propose a method for pathogen identification that overcomes the above limitations, and utilizes the MALDI-TOF/TOF MS instrument. Tandem mass spectra of the analyzed peptides were obtained by chemically activated fragmentation, which allowed mass spectrometry analysis in negative and positive ion modes. Peptide sequences were elucidated de novo, and aligned with the non-redundant National Center for Biotechnology Information Reference Sequence Database (NCBInr). For data analysis, we developed a custom program package that predicted peptide sequences from the negative and positive MS/MS spectra. The main advantage of this method over a conventional MALDI-TOF MS peptide analysis is identification in less than 24 h without a cultivation step. Compared to the limited identification with peptide spectra libraries, the NCBI database derived from genome sequencing currently contains 20,917 bacterial species, and is constantly expanding. This paper presents an accurate method that is used to identify pathogens grown on agar plates, and those isolated directly from urine samples, with high accuracy. [ABSTRACT FROM AUTHOR]

Interferences from isobaric and isomeric compounds represent a common problem in liquid chromatography coupled to mass spectrometry (LC-MS). In this paper, in-source purification and chromatographic separation were combined with the aim of identifying isobaric contamination and quantifying accurately a compound despite the presence of an isobaric co-eluted interference. This is achieved by totally fragmenting in-source the precursor ions of the isobaric interference providing then LC-pseudo-MS2 capability, which allows an accurate quantification without the need for optimizing the chromatographic conditions to separate the co-eluted interference. To illustrate this concept, mixtures of tryptic and non-tryptic peptides were used. The ratio of peak areas of the tryptic peptide and its isotopically labelled internal standard was used not only for quantification with an internal standard calibration curve but also to know (1) if an isobaric interference co-eluted with the tryptic peptide; and (2) what is the minimum cone voltage necessary to ensure the complete removal of isobaric interference. This strategy was applied to quantify the tryptic peptide of two standards with known concentrations and, intentionally contaminated with the isobaric interference. The confidence intervals of the concentrations calculated with the internal standard calibration curve were 8.0 ± 0.5 μM (prepared at 8.0 μM) and 15.7 ± 0.5 μM (prepared at 16.1 μM) that confirm the tryptic peptide can be correctly quantified by in-source purification without the need for improving the chromatographic separation from its isobaric interference. [ABSTRACT FROM AUTHOR]

In the past decade a remarkable rebirth of serum/plasma lipoprotein(a) (Lp(a)) as an independent risk factor of cardiovascular disease (CVD) occurred. Updated evidence for a causal continuous association in different ethnic groups between Lp(a) concentrations and cardiovascular outcomes has been published in the latest European Atherosclerosis Society (EAS) Lp(a) consensus statement. Interest in measuring Lp(a) at least once in a person's lifetime moreover originates from the development of promising new Lp(a) lowering drugs. Accurate and clinically effective Lp(a) tests are of key importance for the timely detection of high-risk individuals and for future evaluation of the therapeutic effects of Lp(a) lowering medication. To this end, it is necessary to improve the performance and standardization of existing Lp(a) tests, as is also noted in the Lp(a) consensus statement. Consequently, a state-of-the-art internationally endorsed reference measurement system (RMS) must be in place that allows for performance evaluation of Lp(a) field tests in order to certify their validity and accuracy. An ELISA-based RMS from Northwest Lipid Research Laboratory (University of Washington, Seattle, USA) has been available since the 1990s. A next-generation apo(a)/Lp(a) RMS is now being developed by a working group from the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). The envisioned apo(a) RMS is based on the direct measurement of selected proteotypic fragments generated after proteolytic digestion using quantitative protein mass spectrometry (MS). The choice for an MS-based RMS enables selective measurement of the proteotypic peptides and is by design apo(a) isoform insensitive. Clearly, the equimolar conversion of apo(a) into the surrogate peptide measurands is required to obtain accurate Lp(a) results. The completeness of proteolysis under reaction conditions from the candidate reference measurement procedure (RMP) has been demonstrated for the quantifying apo(a) peptides. Currently, the candidate apo(a) RMP is endorsed by the IFCC and recommendations for suitable secondary reference materials have been made in a recent commutability study paper. Ongoing efforts toward a complete apo(a) RMS that is listed by the Joint Committee on Traceability in Laboratory Medicine (JCTLM) are focused on the peptide-based calibration and the establishment of a network of calibration laboratories running the apo(a) RMS in a harmonized way. Once completed, it will be the holy grail for evaluation and certification of Lp(a) field methods. [ABSTRACT FROM AUTHOR]

This paper describes a method that combines a microfluidic device and self‐assembled monolayers for matrix‐assisted laser desorption/ionization mass spectrometry (SAMDI) mass spectrometry to calculate the cooperativity in binding of calcium ions to peptidylarginine deiminase type 2 (PAD2). This example uses only 120 μL of enzyme solution and three fluidic inputs. This microfluidic device incorporates a self‐assembled monolayer that is functionalized with a peptide substrate for PAD2. The enzyme and different concentrations of calcium ions are flowed through each of eight channels, where the position along the channel corresponds to reaction time and position across the channel corresponds to the concentration of Ca2+. Imaging SAMDI (iSAMDI) is then used to determine the yield for the enzyme reaction at each 200 μm pixel on the monolayer, providing a time course for the reactions. Analysis of the peptide conversion as a function of position and time gives the degree of cooperativity (n) and the concentration of ligand required for half maximal activity (K0.5) for the Ca2+ – dependent activation of PAD2. This work establishes a high‐throughput and label‐free method for studying enzyme‐ligand binding interactions and widens the applicability of microfluidics and matrix‐assisted laser desorption/ionization mass spectrometry (MALDI) imaging mass spectrometry. [ABSTRACT FROM AUTHOR]

The search for novel plant proteins presents a major challenge to the global food industry. Beyond the sustainability and nutritional value of seed proteins, there is a growing focus on exploring their potential health benefits for human consumption. However, the endeavour to evaluate the allergenic risks associated with plant-based proteins will require substantial efforts in the coming years. One key strategy to address this concern is the reduction of allergenicity in seeds through the process of germination, which triggers the strong proteolysis of storage proteins. In this study, Lupinus luteus L. seeds were germinated at 25°C for 0, 3, 6 and 9 days under a constant humidity of 80%. Peptide extracts derived from sprouted lupin seeds were subsequently separated under reducing conditions by SDS-PAGE. The resulting protein bands were digested and subjected to mass spectrometry analysis (SWATH-MS) for accurate identification of allergenic proteins. This study's findings revealed the great impact of lupin seed germination on the protein patterns of hydrolysates, particularly noticeable after a germination period of 6 days. The main protein bands (90, 70, 64, 52, 46 and 37 kDa) exhibited a notable decrease in relative intensity as a result of germination. Furthermore, SWATH-MS analysis successfully identified two distinct isoforms (B0YJF7 and B8Q5G0) of the major allergen, β-conglutin, in all tested bands, both prior to and following germination. This study provides evidence for the crucial role of germination in the degradation of this allergen, leading to the elimination of epitopes and subsequently reducing its allergenicity. [ABSTRACT FROM AUTHOR]

Peptide/protein quantitation using mass spectrometry (MS) is advantageous due to its high sensitivity. Traditional absolute peptide quantitation methods rely on making calibration curves using peptide standards or isotope-labelled peptide standards, which are expensive and take time to synthesize. A method which can eliminate the need for using standards would be beneficial. Recently, we developed coulometric mass spectrometry (CMS) which can be used to quantify peptides that are oxidizable (e.g., those containing tyrosine or tryptophan), without using peptide standard. The method is based on electrochemical oxidation of peptides followed by MS measurement of the oxidation yield. However, it cannot be directly used to quantify peptides without oxidizable residues. To extend this method for quantifying peptides/proteins in general, in this study, we adopted a derivatization strategy, in which a target peptide is first tagged with an electroactive reagent such as monocarboxymethylene blue NHS ester (MCMB-NHS ester), followed with quantitation by CMS. To illustrate the power of this method, we have analyzed peptides MG and RPPGFSPFR. The quantification error was less than 5%. Using RPPGFSPFR as an example, the quantitation sensitivity of the technique was found to be 0.25 pmol. Furthermore, we also used the strategy to quantify proteins cytochrome C and β-casein with an error of 2–26 %. [Display omitted] • Coulometric mass spectrometry (CMS) in combination with derivatization strategy can be used for absolute quantitation of peptides and proteins in general. • Our quantitation method reported in this paper does not require the use of standards or isotope-labelled standards. • Our quantitation method reported in this paper is applicable to peptides that are not electrochemically active. • The derivatization of peptide with methylene blue electrochemical tag allows the oxidation of peptides at a very low potential (0.2 V vs. Ag/AgCl), thus providing the method selectivity. [ABSTRACT FROM AUTHOR]

The evolution of the SARS-CoV2 coronavirus spike S-protein is studied using a mass spectrometry based protein phylogenetic approach. A study of a large dataset comprising sets of peptide masses derived from over 3000 proteins of the SARS-CoV2 virus shows that the approach is capable of resolving and correctly displaying the evolution of the major variants of concern. Using these numerical datasets, through a pairwise comparison of sets of proteolytic peptide masses for each protein, the tree is built without the need for the sequence data itself or any sequence alignment. In the same analysis, single point mutations are calculated from peptide mass differences of different protein sets and these are displayed at the branch nodes on the tree. The tree topology is found to be consistent with that generated using conventional sequence-based phylogenetics by a manual visualisation and using a tree comparison algorithm. The mass tree resolves major variants of the virus and displays non-synonymous mutations, calculated based on the mass data alone, on the tree that enable protein evolution to be charted and tracked along interconnected branches. Tracking the evolution of the SARS-CoV2 coronavirus S-protein is of particular importance given its role in the attachment of the virus to host cells ahead of viral replication. [ABSTRACT FROM AUTHOR]

This research employs pepsin-containing membranes to digest proteins online after a capillary electrophoresis (CE) separation and prior to tandem mass spectrometry. Proteolysis after the separation allows the peptides from a given protein to enter the mass spectrometer in a single plug. Thus, migration time can serve as an additional criterion for confirming the identification of a peptide. The membrane resides in a sheath-flow electrospray ionization (ESI) source to enable digestion immediately before spray into the mass spectrometer, thus limiting separation of the digested peptides. Using the same membrane, digestion occurred reproducibly during 20 consecutive CE analyses performed over a 10 h period. Additionally, after separating a mixture of six unreduced proteins with CE, online digestion facilitated protein identification with at least 2 identifiable peptides for all the proteins. Sequence coverages were >75% for myoglobin and carbonic anhydrase II but much lower for proteins containing disulfide bonds. Development of methods for efficient separation of reduced proteins or identification of cross-linked peptides should enhance sequence coverages for proteins with disulfide bonds. Migration times for the peptides identified from a specific protein differed by <∼30 s, which allows for rejection of some spurious peptide identifications. [ABSTRACT FROM AUTHOR]

Complexation of the glutamic–tyrosine–glutamic tripeptide (EYE) with a series of pseudopeptidic cages has been thoroughly investigated using different analytical techniques. The stoichiometry and affinities of the supramolecular host : guest complexes both in aqueous solution and in the gas-phase were obtained from a suitable combination of fluorescence spectroscopy, NMR, and mass spectrometry (MS) methods. The cages bearing basic groups (lysine, ornitine and histidine) display the tightest EYE binding in aqueous media following the order CyHis > CyLys > CyOrn, thus suggesting that Tyr side chain encapsulation is additionally modulated by the identity of the cage side chains and their ability to be engaged in polar interactions with the EYE peptide. Similarly, binding affinities estimated by MS methods clearly point towards a reduced affinity for the Cy cages with acidic pendant groups and a higher affinity of the CyHis cage over CyLys and CyOrn. Ion mobility spectrometry (IMS)-MS, assisted by molecular modelling, has been used to uncover the structural and conformational characteristics of the pseudopeptidic hosts and their supramolecular adducts with the EYE peptide. The cages display a collisional cross-section increase upon EYE inclusion that is associated with the expansion of the binding pocket of the cage cavity, thus constituting a unique example of conformational pseudopeptidic host adaptation to accommodate the inclusion of the guest. [ABSTRACT FROM AUTHOR]

Microbial ion-pumping rhodopsins (MRs) are extensively studied retinal-binding membrane proteins. However, their biogenesis, including oligomerisation and retinal incorporation, remains poorly understood. The bacterial green-light absorbing proton pump proteorhodopsin (GPR) has emerged as a model protein for MRs and is used here to address these open questions using cryo-electron microscopy (cryo-EM) and molecular dynamics (MD) simulations. Specifically, conflicting studies regarding GPR stoichiometry reported pentamer and hexamer mixtures without providing possible assembly mechanisms. We report the pentameric and hexameric cryo-EM structures of a GPR mutant, uncovering the role of the unprocessed N-terminal signal peptide in the assembly of hexameric GPR. Furthermore, certain proteorhodopsin-expressing bacteria lack retinal biosynthesis pathways, suggesting that they scavenge the cofactor from their environment. We shed light on this hypothesis by solving the cryo-EM structure of retinal-free proteoopsin, which together with mass spectrometry and MD simulations suggests that decanoate serves as a temporary placeholder for retinal in the chromophore binding pocket. Further MD simulations elucidate possible pathways for the exchange of decanoate and retinal, offering a mechanism for retinal scavenging. Collectively, our findings provide insights into the biogenesis of MRs, including their oligomeric assembly, variations in protomer stoichiometry and retinal incorporation through a potential cofactor scavenging mechanism. Microbial rhodopsins are prevalent retinal-binding membrane proteins. Here, authors reveal the roles of the N-terminal signal peptide in oligomerization and of decanoate as a retinal placeholder, providing proteorhodopsin structures and retinal incorporation mechanisms. [ABSTRACT FROM AUTHOR]

The skin of amphibians is a rich source of peptides with a wide range of biological activities. They are stored in secretory granules in an inactive form. Upon stimulation, they are secreted together with proteases into the skin. Once activated, they rapidly exert their biological effects, including fighting microorganisms and predators, while their excess is immediately destroyed by the released proteases. To keep bioactive peptides in their initial form, it is necessary to inhibit these enzymes. Several inhibitors for this purpose have previously been mentioned; however, there has not been any reliable comparison of their efficiency so far. Here, we studied the efficiency of methanol and hydrochloric and formic acids, as well as phenylmethylsulfonyl fluoride, in the inhibition of nine frog peptides with the known sequence, belonging to five families in the secretion of Pelophylax esculentus. The results demonstrated that methanol had the highest inhibitory efficiency, while phenylmethylsulfonyl fluoride was the least efficient, probably due to its instability in aqueous media. Possible cleavages between certain amino acid residues in the sequence were established for each of the inhibitors. These results may be helpful for future studies on the nature of proteases and on prediction of the possible cleavage sites in novel peptides. [ABSTRACT FROM AUTHOR]

The (patho)physiological function of the sphingolipids ceramide-1-phosphate (C1P), sphingosine-1-phosphate (S1P), and sphingosylphosphorylcholine (SPC) in articular joints during osteoarthritis (OA) is largely unknown. Therefore, we investigated the influence of these lipids on protein expression by fibroblast-like synoviocytes (FLSs) from OA knees. Cultured human FLSs (n = 7) were treated with 1 of 3 lipid species—C1P, S1P, or SPC—IL-1β, or with vehicle. The expression of individual proteins was determined by tandem mass tag peptide labeling followed by high-resolution electrospray ionization (ESI) mass spectrometry after liquid chromatographic separation (LC-MS/MS/MS). The mRNA levels of selected proteins were analyzed using RT-PCR. The 3sphingolipids were quantified in the SF of 18 OA patients using LC-MS/MS. A total of 4930 proteins were determined using multiplex MS, of which 136, 9, 1, and 0 were regulated both reproducibly and significantly by IL-1β, C1P, S1P, and SPC, respectively. In the presence of IL-1ß, all 3 sphingolipids exerted ancillary effects. Only low SF levels of C1P and SPC were found. In conclusion, the 3 lipid species regulated proteins that have not been described in OA. Our results indicate that charged multivesicular body protein 1b, metal cation symporter ZIP14, glutamine-fructose-6-P transaminase, metallothionein-1F and -2A, ferritin, and prosaposin are particularly interesting proteins due to their potential to affect inflammatory, anabolic, catabolic, and apoptotic mechanisms. [ABSTRACT FROM AUTHOR]

Short peptides are important compounds in a variety of fields, including food and nutraceutical applications, but also biomarker discovery, bioactive peptide discovery and peptide drug separation. Despite the importance of short peptides, they are currently less studied than other peptides because of the lack of dedicated methods for their characterization. The method described in this paper comprises a combination of strategies to tackle the main limitations in short peptide analysis. In particular, in this work an untargeted peptidomic approach based on ultrahigh-performance liquid chromatography coupled to high-resolution mass spectrometry was developed for the identification of short peptides in cow milk samples. After milk defatting and precipitation, the sample was purified by cotton-hydrophilic interaction liquid chromatography (HILIC) micro tip in order to avoid suppression phenomena due to contaminants present in milk, such as carbohydrates. The sample was then separated by means of two chromatographic columns, with a complementary selectivity mechanism, namely reversed-phase C18 column and porous graphitic carbon (PGC). By this approach, the method allowed the separation and characterization of di-, tri- and tetrapeptides. A total of 57 and 41 peptides were identified by using a C18 and a PGC column, respectively; in particular, 31 were exclusively identified by using the C18 column, 15 unique peptides were identified by using the PGC column, while 26 were in common between the two data sets, demonstrating that the two columns have a different selectivity mechanism. The results indicated that an integrated approach may be appropriate to improve the separation of different peptides and increase the number of identifications because of the wide range of polarity of short peptides. The method allowed the untargeted identification of short peptides in milk, a complex matrix chosen as a representative real sample for method application, and provides complementary information to that accessible by ordinary peptidomics. [ABSTRACT FROM AUTHOR]

Background: Several methods to handle data generated from bottom-up proteomics via liquid chromatography-mass spectrometry, particularly for peptide-centric quantification dealing with post-translational modification (PTM) analysis like reversible cysteine oxidation are evaluated. The paper proposes a pipeline based on the R programming language to analyze PTMs from peptide-centric label-free quantitative proteomics data. Results: Our methodology includes variance stabilization, normalization, and missing data imputation to account for the large dynamic range of PTM measurements. It also corrects biases from an enrichment protocol and reduces the random and systematic errors associated with label-free quantification. The performance of the methodology is tested by performing proteome-wide differential PTM quantitation using linear models analysis (limma). We objectively compare two imputation methods along with significance testing when using multiple-imputation for missing data. Conclusion: Identifying PTMs in large-scale datasets is a problem with distinct characteristics that require new methods for handling missing data imputation and differential proteome analysis. Linear models in combination with multiple-imputation could significantly outperform a t-test-based decision method. [ABSTRACT FROM AUTHOR]

A scoring function plays a critical role in software for peptide identification with mass spectrometry. We present a general scoring feature that can be incorporated in the scoring functions of other peptide identification software. The scoring feature is based on the intensity ratios between two adjacent y-ions in the spectrum. A method is proposed to obtain the probability distributions of such ratios, and to calculate the scoring feature based on the distributions. To demonstrate the performance of the method, the new feature is incorporated with X!Tandem , and Novor and significantly improved the database search and de novo sequencing performances on the testing data, respectively. [ABSTRACT FROM AUTHOR]

The analysis of high-valent metal species has been in the focus of research for over 20 years. Mass spectrometry (MS) represents a technique routinely used for their characterization, in particular electrospray ionization mass spectrometry (ESI-MS) and cold-spray ionization-mass spectrometry (CSI-MS). The combination of both methods with tandem MS provides additional tools for understanding decay processes and reaction pathways. In this Perspective, tandem ESI-MS, an important instrument in enzyme and peptide characterization and organometallic chemistry, is discussed as a valuable tool for the elucidation of reaction mechanisms of high-valent metal species. [ABSTRACT FROM AUTHOR]

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The global scientific response to COVID 19 highlighted the urgent need for increased throughput and capacity in bioanalytical laboratories, especially for the precise quantification of proteins that pertain to health and disease. Acoustic ejection mass spectrometry (AEMS) represents a much-needed paradigm shift for ultra-fast biomarker screening. Here, a quantitative AEMS assays is presented, employing peptide immunocapture to enrich (i) 10 acute phase response (APR) protein markers from plasma, and (ii) SARS-CoV-2 NCAP peptides from nasopharyngeal swabs. The APR proteins were quantified in 267 plasma samples, in triplicate in 4.8 h, with %CV from 4.2% to 10.5%. SARS-CoV-2 peptides were quantified in triplicate from 145 viral swabs in 10 min. This assay represents a 15-fold speed improvement over LC-MS, with instrument stability demonstrated across 10,000 peptide measurements. The combination of speed from AEMS and selectivity from peptide immunocapture enables ultra-high throughput, reproducible quantitative biomarker screening in very large cohorts. There is an increasing demand for high sample throughput beyond traditional analytical techniques. Here the authors show that Ultra-high throughput assays, based on the integration of Acoustic Ejection Mass Spectrometry (AEMS) and peptide immunocapture provide precise quantification of inflammation and SARS-CoV-2 proteins with 15x sample throughput compared to LC-MS. [ABSTRACT FROM AUTHOR]

Mass spectrometry imaging (MSI) allows to study cancer's intratumoral heterogeneity through spatially-resolved peptides, metabolites and lipids. Yet, in biomedical research MSI is rarely used for biomarker discovery. Besides its high dimensionality and multicollinearity, mass spectrometry (MS) technologies typically output mass-to-charge ratio values but not the biochemical compounds of interest. Our framework makes particularly low-abundant signals in MSI more accessible. We utilized convolutional autoencoders to aggregate features associated with tumor hypoxia, a parameter with significant spatial heterogeneity, in cancer xenograft models. We highlight that MSI captures these low-abundant signals and that autoencoders can preserve them in their latent space. The relevance of individual hyperparameters is demonstrated through ablation experiments, and the contribution from original features to latent features is unraveled. Complementing MSI with tandem MS from the same tumor model, multiple hypoxia-associated peptide candidates were derived. Compared to random forests alone, our autoencoder approach yielded more biologically relevant insights for biomarker discovery. [ABSTRACT FROM AUTHOR]

Three new phenanthridine peptide derivatives (19, 22, and 23) were synthesized to explore their potential as spectrophotometric probes for DNA and RNA. UV/Vis and circular dichroism (CD) spectra, mass spectroscopy, and computational analysis confirmed the presence of intramolecular interactions in all three compounds. Computational analysis revealed that compounds alternate between bent and open conformations, highlighting the latter's crucial influence on successful polynucleotide recognition. Substituting one glycine with lysine in two regioisomers (22, 23) resulted in stronger binding interactions with DNA and RNA than for a compound containing two glycines (19), thus emphasizing the importance of lysine. The regioisomer with lysine closer to the phenanthridine ring (23) exhibited a dual and selective fluorimetric response with non-alternating AT and ATT polynucleotides and induction of triplex formation from the AT duplex. The best binding constant (K) with a value of 2.5 × 107 M−1 was obtained for the interaction with AT and ATT polynucleotides. Furthermore, apart from distinguishing between different types of ds-DNA and ds-RNA, the same compound could recognize GC-rich DNA through distinct induced CD signals. [ABSTRACT FROM AUTHOR]

Boarfish ( Capros aper Linnaeus) are frequently in European waters. In this work, the generation and identification of angiotensin-I-converting enzyme (ACE-I; EC 3.4.15.1) inhibitory and antihypertensive peptides from Boarfish proteins are reported for the first time. Boarfish proteins were recovered using the pH shift process and hydrolysates were generated using the commercially available proteolytic enzyme alcalase CLEA, papain and protease AP. Molecular weight cut off (MWCO) filtration methods were used to enrich for peptides less than 10- and 3-kDa in size. The angiotensin-I-converting enzyme (ACE-I; EC 3.4.15.1) inhibitory activity of the generated hydrolysates and MWCO fractions was assessed in vitro . The 3-kDa Boarfish protein hydrolysate (BPH) generated using protease AP inhibited ACE-I by 85.8% (± 1.81) when assayed at a concentration of 1 mg/mL compared to the positive control captopril. Mass spectrometry was used to characterize the peptides within the BPH generated using protease AP. Moreover, the antihypertensive activity of this BPH was assessed in vivo using spontaneously hypertensive rats (SHRs) over a 24 hour period. Results obtained suggest that BPH generated using protease AP is a source of ACE-I-inhibitory peptides with antihypertensive effects in vivo . This hydrolysate has the potential for use as a functional food ingredient for the maintenance of normal blood pressure in hypertensive individuals. Industrial relevance • This paper provides a potential alternative for marine processors for utilisation of their total catch in the generation of functional foods. • Discarded fish represents an obstacle to the sustainability of global fisheries. Due to the fact that the reformed European Common Fisheries Policy promotes landing of all species under the Total Allowable Catch (TACs) policy in Europe, it will be necessary for processors to utilise all species caught to prevent disposal costs. • Boarfish are caught presently as a co-product with other fish. In light of the new regulation and costs for disposal at landfill it will therefore be necessary to convert Boarfish into value added products. • Industry in Ireland and Denmark are particularly interested in this topic as have the largest quota for Boarfish within the EU. This paper describes a methodology for generation of protein hydrolysates from Boarfish with added health benefits. • This area is of increasing, commercial interest to marine processors and food product developers as fish are a known source of bioactive peptides. Boarfish ( Capros aper Linn) are frequently discarded in European waters. In this work, the generation and identification of angiotensin-I-converting enzyme (ACE-I; EC 3.4.15.1) inhibitory and antihypertensive peptides from Boarfish proteins is reported for the first time. Boarfish proteins were recovered using the pH shift process and hydrolysates were generated using the commercially available proteolytic enzymes alcalase CLEA, papain and protease AP. Molecular weight cut off (MWCO) filtration methods were used to enrich for peptides less than 10- and 3-kDa in size. [ABSTRACT FROM AUTHOR]

In common with other omics technologies, mass spectrometry (MS)-based proteomics produces ever-increasing amounts of raw data, making efficient analysis a principal challenge. A plethora of different computational tools can process the MS data to derive peptide and protein identification and quantification. However, during the last years there has been dramatic progress in computer science, including collaboration tools that have transformed research and industry. To leverage these advances, we develop AlphaPept, a Python-based open-source framework for efficient processing of large high-resolution MS data sets. Numba for just-in-time compilation on CPU and GPU achieves hundred-fold speed improvements. AlphaPept uses the Python scientific stack of highly optimized packages, reducing the code base to domain-specific tasks while accessing the latest advances. We provide an easy on-ramp for community contributions through the concept of literate programming, implemented in Jupyter Notebooks. Large datasets can rapidly be processed as shown by the analysis of hundreds of proteomes in minutes per file, many-fold faster than acquisition. AlphaPept can be used to build automated processing pipelines with web-serving functionality and compatibility with downstream analysis tools. It provides easy access via one-click installation, a modular Python library for advanced users, and via an open GitHub repository for developers. Mass spectrometry-based proteomics faces the challenge of processing vast data amounts. Here, the authors introduce AlphaPept, an open-source, Python-based framework that offers high speed analysis and easy integration for large-scale proteome analysis. [ABSTRACT FROM AUTHOR]

Motivation Zooarchaeology by Mass Spectrometry (ZooMS) is a palaeoproteomics method for the taxonomic determination of collagen, which traditionally involves challenging manual spectra analysis with limitations in quantitative results. As the ZooMS reference database expands, a faster and reproducible identification tool is necessary. Here we present SpecieScan, an open-access algorithm for automating taxa identification from raw MALDI-ToF mass spectrometry (MS) data. Results SpecieScan was developed using R (pre-processing) and Python (automation). The algorithm's output includes identified peptide markers, closest matching taxonomic group (taxon, family, order), correlation scores with the reference databases, and contaminant peaks present in the spectra. Testing on original MS data from bones discovered at Palaeothic archaeological sites, including Denisova Cave in Russia, as well as using publicly-available, externally produced data, we achieved >90% accuracy at the genus-level and ∼92% accuracy at the family-level for mammalian bone collagen previously analysed manually. Availability and implementation The SpecieScan algorithm, along with the raw data used in testing, results, reference database, and common contaminants lists are freely available on Github (https://github.com/mesve/SpecieScan). [ABSTRACT FROM AUTHOR]

Background: Presently, antibody concentration measurements for patients undergoing treatment are predominantly determined by ELISA, which still comes with known disadvantages. Therefore, our aim was to establish a targeted mass-spectrometric assay enabling the reproducible absolute quantification of peptides from the hypervariable and interaction regions of infliximab. Methods: Peptides of infliximab were measured post-trypsin digestion and subsequent separation on a Vanquish Horizon UHPLC coupled to a TSQ Altis Triple-Quad mass spectrometer. Normalization and absolute quantification were conducted using stable isotope-synthesized peptides. Calibration curves covering a range of 0.25-50 µg/ml were employed for quantitation. Results: We demonstrated the substantial influence of peptide selection, choice of hydrolase for digestion, and digestion time on absolute peptide yield (28–44% for peptide 1 and 64–97% for peptide 2). Furthermore, we showed that the generated calibration curves for absolute quantification were highly reproducible and robust (LLOQ1 0.72 µg/ml and LLOQ2 1.00 µg/ml) over several months. In comparison to ELISA values, the absolute values obtained by mass spectrometry often yielded lower results for both targeted peptides. Conclusions: In this study, a semi-automated workflow was employed and tested with 8 patients and corresponding replicates (n = 3–4). We demonstrated the robust implementation of calibration curves for the absolute quantification of infliximab in patient samples, with coefficients of variation ranging from 0.5 to 9%. Taken together, we have developed a platform enabling the rapid (2 days of sample preparation and 30 min of measurement time per sample) and robust quantification of Infliximab antibody concentration in patients. The use of mass spectrometry also facilitates the straightforward expansion of the method to include additional antibody peptides. [ABSTRACT FROM AUTHOR]

Here we provide a curated, large scale, label free mass spectrometry-based proteomics data set derived from HeLa cell lines for general purpose machine learning and analysis. Data access and filtering is a tedious task, which takes up considerable amounts of time for researchers. Therefore we provide machine based metadata for easy selection and overview along the 7,444 raw files and MaxQuant search output. For convenience, we provide three filtered and aggregated development datasets on the protein groups, peptides and precursors level. Next to providing easy to access training data, we provide a SDRF file annotating each raw file with instrument settings allowing automated reprocessing. We encourage others to enlarge this data set by instrument runs of further HeLa samples from different machine types by providing our workflows and analysis scripts. [ABSTRACT FROM AUTHOR]

SEQUEST is a database-searching engine, which calculates the correlation score between observed spectrum and theoretical spectrum deduced from protein sequences stored in a flat text file, even though it is not a relational and object-oriental repository. Nevertheless, the SEQUEST score functions fail to discriminate between true and false PSMs accurately. Some approaches, such as PeptideProphet and Percolator, have been proposed to address the task of distinguishing true and false PSMs. However, most of these methods employ time-consuming learning algorithms to validate peptide assignments [1] . In this paper, we propose a fast algorithm for validating peptide identification by incorporating heterogeneous information from SEQUEST scores and peptide digested knowledge. To automate the peptide identification process and incorporate additional information, we employ \ell_2 multiple kernel learning (MKL) to implement the current peptide identification task. Results on experimental datasets indicate that compared with state-of-the-art methods, i.e., PeptideProphet and Percolator, our data fusing strategy has comparable performance but reduces the running time significantly. [ABSTRACT FROM PUBLISHER]

In a stricter legislative context, greener detergent formulations are developed. In this way, synthetic surfactants are frequently replaced by bio-sourced surfactants and/or used at lower concentrations in combination with enzymes. In this paper, a LC-MS/MS method was developed for the identification and quantification of enzymes in laundry detergents. Prior to the LC-MS/MS analyses, a specific sample preparation protocol was developed due to matrix complexity (high surfactant percentages). Then for each enzyme family mainly used in detergent formulations (protease, amylase, cellulase, and lipase), specific peptides were identified on a high resolution platform. A LC-MS/MS method was then developed in selected reaction monitoring (SRM) MS mode for the light and corresponding heavy peptides. The method was linear on the peptide concentration ranges 25-1000 ng/mL for protease, lipase, and cellulase; 50-1000 ng/mL for amylase; and 5-1000 ng/mL for cellulase in both water and laundry detergent matrices. The application of the developed analytical strategy to real commercial laundry detergents enabled enzyme identification and absolute quantification. For the first time, identification and absolute quantification of enzymes in laundry detergent was realized by LC-MS/MS in a single run. [Figure not available: see fulltext.] [ABSTRACT FROM AUTHOR]

In recent years a significant increase of food fraud has been observed, ranging from false label claims to the use of additives and fillers to increase profitability. Recently in 2013 horse and pig DNAs were detected in beef products sold from several retailers. Mass spectrometry (MS) has become the workhorse in protein research, and the detection of marker proteins could serve for both animal species and tissue authentication. Meat species authenticity is performed in this paper using a well-defined proteogenomic annotation, carefully chosen surrogate tryptic peptides and analysis using a hybrid quadrupole-Orbitrap MS. Selected mammalian meat samples were homogenised and proteins were extracted and digested with trypsin. The samples were analysed using a high-resolution MS. Chromatography was achieved using a 30-min linear gradient along with a BioBasic C8 100 × 1 mm column at a flow rate of 75 µl min–1. The MS was operated in full-scan high resolution and accurate mass. MS/MS spectra were collected for selected proteotypic peptides. Muscular proteins were methodically analysedin silicoin order to generate tryptic peptide mass lists and theoretical MS/MS spectra. Following a comprehensive bottom-up proteomic analysis, we detected and identified a proteotypic myoglobin tryptic peptide (120–134) for each species with observedm/zbelow 1.3 ppm compared with theoretical values. Moreover, proteotypic peptides from myosin-1, myosin-2 and β-haemoglobin were also identified. This targeted method allowed comprehensive meat speciation down to 1% (w/w) of undesired product. [ABSTRACT FROM PUBLISHER]

Archaeological silk provides abundant information for studying ancient technologies and cultures. However, due to the spontaneous degradation and the damages from burial conditions, most ancient silk fibers which suffered the damages for thousands of years were turned into invisible molecular residues. For the obtained rare samples, extra care needs to be taken to accurately identify the genuine archaeological silk remains from modern contaminations. Although mass spectrometry (MS) is a powerful tool for identifying and analyzing the ancient protein residues, the traditional approach could not directly determine the dating and contamination of each sample. In this paper, a series of samples with a broad range of ages were tested by MS to find an effective and innovative approach to determine whether modern contamination exists, in order to verify the authenticity and reliability of the ancient samples. The new findings highlighted that the detected peptide types of the fibroin light chain can indicate the degradation levels of silk samples and help to distinguish contamination from ancient silk remains. [ABSTRACT FROM AUTHOR]

With the increase of the number of approved protein therapeutics in the market, comprehensive and reproducible characterization of these new generation drugs is crucial for the biopharmaceutical industry and regulatory agencies. One of the largest groups of biotherapeutics is monoclonal antibodies (mABs) possessing various posttranslational modifications and potential degradation hotspots during the manufacturing process that may affect efficacy and immunogenicity. The exceptionally high separation power of capillary electrophoresis (CE) in conjunction with mass spectrometry fulfills Level-3 characterization requirements necessary to reveal such modifications and degradations. In this paper, a comprehensive characterization example will be given for a representative mAB Trastuzumab (Herceptin), illustrating the benefits of the integration of CE and electrospray ionization in a unified bioanalytical process coupled with high-resolution mass spectrometry. Peptides separated in a wide size range (3-65 amino acids) were identified with 100% sequence coverage and quantified, including degradative hotspots such as glutamic acid cyclization, methionine oxidation, aspargine deamidation and C-terminal lysine heterogeneity using only 100 fmol of a single protease digest sample. The low flow rate of the system (>20 nL/min) ensured maximized ionization efficiency and dramatically reduced ion suppression. [ABSTRACT FROM AUTHOR]

Ethylene oxide (EtO) is widely used in sterilization of drug product primary containers and medical devices. The impact of residual EtO on protein therapeutics is of significant interest in the biopharmaceutical industry. The potential for EtO to modify individual amino acids in proteins has been previously reported. However, specific identification of EtO adducts in proteins and the effect of residual EtO on the stability of therapeutic proteins has not been reported to date. This paper describes studies of residual EtO with two therapeutic proteins, a PEGylated form of the recombinant human granulocyte colony-stimulating factor (Peg- GCSF) and recombinant human erythropoietin ( EPO) formulated with human serum albumin ( HSA). Peg- GCSF was filled in an EtO sterilized delivery device and incubated at accelerated stress conditions. Glu-C peptide mapping and LC- MS analyses revealed residual EtO reacted with Peg- GCSF and resulted in EtO modifications at two methionine residues (Met-127 and Met-138). In addition, tryptic peptide mapping and LC- MS analyses revealed residual EtO in plastic vials reacted with HSA in EPO formulation at Met-328 and Cys-34. This paper details the work conducted to understand the effects of residual EtO on the chemical stability of protein therapeutics. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:731-739, 2015 [ABSTRACT FROM AUTHOR]

Tilia tuan honey has many biological activities, and the source of biological activities is inseparable from the protein and peptides in tilia tuan honey. Antioxidant activity is one of the many biological activities of tilia tuan honey. In this paper, the composition and structure of trypsinolysis peptides in tilia tuan honey were identified by ultra.high performance liquid chromatography.quadrupole/electrostatic field orbitrap high resolution mass spectrometry (UPLC.Q.Exactive), and the relationship between trypsinolysis peptides in tilia tuan honey and antioxidant activity was discussed. Tilia tuan honey protein was precipitated by 20%trichloroacetic acid and lyophilized. The lyophilized protein was dissolved in 100 mmol/L NH4HCO3 buffer solution. Dithiothreotol was added to reduce protein, iodoacetamide was added to alkylate protein, and 500 mmol/L dithiothreotol solution was added to the final protein solution to stop the alkylation reaction, then the protein was hydrolyzed by trypsin. The enzymatic peptides was enriched and purified by C18 solid phase extraction column. Gradient elution was carried out with 0.1% formic acid (A) and acetonitrile (B) as mobile phase. The enzymatic hydrolyzed tilia tuan honey peptides was identified by Full MS/ddMS2 mode of high resolution mass spectrometry (Q.Exactive). The results of mass spectrometry were analyzed by MaxQuant software, and compared on Uniprot by Blast. A total of 52 peptides in tilia tuan honey were identified, 7115% of which were derived from major royal jelly proteins (MRJPs), and the identified peptides belonged to 10 proteins, of which 6 (60%) were MRJP family proteins. Reproducibility analysis of tilia tuan honey peptides mass spectrometry results, more than two repetitive mass spectrometry can achieve reliable identification of tilia tuan honey peptides (871%). According to the structure.activity relationship of honey peptides reported in the literature, 11 peptides with antioxidant activity were screened out. Four different antioxidant activities were tested after chemical synthesis of 11 peptides. The results showed that the antioxidant activities of these 11 peptides were significantly different, and 1 g/L VIYEWK showed strong 2,2′.azinobis.(3.ethylbenzthiazoline.6.sulphonate) (ABTS) free radical scavenging activity (33.8±0.6%), 2,2.diphenyl.1.picryhydrazyl (DPPH) free radical scavenging activity (96.5±0.0%), and showed a certain reducing power(0.010±0.001) and Fe2+ chelating activity (40±02%). The method can quickly and effectively identify the structure of tilia tuan honey peptides, provide a basis for revealing the relationship between tilia tuan honey peptides structure and antioxidant activity. But the results of antioxidant activity in vitro can not fully explain the antioxidant activity of peptides. Therefore, it is necessary to study the antioxidant activity of peptides in vivo and the antioxidant activity of peptides is the result of the interaction of various amino acids. The modification of amino acids of antioxidant peptides can be considered to determine the specific amino acids that play an antioxidant role. [ABSTRACT FROM AUTHOR]

The accurate determination of disulfide bonds for protein identification is in high demand. In this study, a simple electrochemical-mass spectrometry (EC-MS) method that possesses advantages of real-time information, simultaneous disulfide bond electroreduction and tagging was developed. In this EC-MS, an ITO glass corner functions as a counter electrode and spray system, and allows the direct sampling of the droplet-scale reacting solution in real-time. The application of this method was successfully demonstrated by electrochemical reduction of oxidized glutathione (GSSG) with one disulfide bond as well as insulin with multiple disulfide bonds. The preferred electroreduction of intermolecular-bonded disulfides for insulin has been observed and the intramolecular bond was not favored. Moreover, simultaneously tagging the formed thiol residues from electroreduction of GSSG using electrogenerated intermediates such as dopamine orthoquinone (DQ) and benzoquinone (Q) was performed. A proof-of-concept was also demonstrated with a large molecule, β-lactoglobulin A. The relationship between signal strength and operating parameters was also studied. This method successfully detected the reduction reaction of the disulfide bond in the polypeptide and protein. The detection limit (S/N ≥ 3) is 0.398 μg mL−1. These results suggest that this EC-MS platform can count cysteine moieties in proteins using a single drop of sample and in real-time and is promising for protein identification experiments. [ABSTRACT FROM AUTHOR]

The conformational landscapes of peptide/human leucocyte antigen (pHLA) protein complexes encompassing tumor neoantigens provide a rationale for target selection towards autologous T cell, vaccine, and antibody-based therapeutic modalities. Here, using complementary biophysical and computational methods, we characterize recurrent RAS55-64 Q61 neoepitopes presented by the common HLA-A*01:01 allotype. We integrate sparse NMR restraints with Rosetta docking to determine the solution structure of NRASQ61K/HLA-A*01:01, which enables modeling of other common RAS55-64 neoepitopes. Hydrogen/deuterium exchange mass spectrometry experiments alongside molecular dynamics simulations reveal differences in solvent accessibility and conformational plasticity across a panel of common Q61 neoepitopes that are relevant for recognition by immunoreceptors. Finally, we predict binding and provide structural models of NRASQ61K antigens spanning the entire HLA allelic landscape, together with in vitro validation for HLA-A*01:191, HLA-B*15:01, and HLA-C*08:02. Our work provides a basis to delineate the solution surface features and immunogenicity of clinically relevant neoepitope/HLA targets for cancer therapy. The authors use an integrative structural biology approach to elucidate molecular features of the RAS Q61 family of public tumor antigens. This information can be used to develop targeted therapeutics to combat a range of cancers. [ABSTRACT FROM AUTHOR]

Low abundance and heterogeneity of N-glycosylation at the peptide level poses a great challenge to the structural and functional analysis of glycosylation in the field of glycobiology. Solving this conundrum requires a sufficient and specific method for intact N-glycopeptide enrichment. Using the C18 or HLB desalting column followed by the mixed-mode strong anion exchange (MAX) or hydrophilic interaction chromatography (HILIC) glycopeptide enrichment column are commonly applied approaches for sample preparation of intact N-glycopeptides from complex samples. Herein, we compared the effects of different combinations of two desalting columns and two enrichment columns using equal amounts of mouse brain tissues from the same source. The results revealed the C18 column was a bit superior to the HLB column, and the MAX and HILIC columns were complementary on intact N-glycopeptides enrichment. Additionally, the results also demonstrated that enriching glycopeptides using a HILIC column followed by a MAX column from the flow-through solution got a better enrichment performance than the reversed order. Based on these results, the sequential enrichment of glycopeptides using HILIC and then MAX columns could maximize the enrichment performance of intact N-glycopeptides, and therefore is an option for in-depth analysis of site-specific glycoproteome. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study was to prepare the novel mussel-derived ACE inhibitory peptides (MEPs) by enzymatic hydrolysis of Mytilus edulis and investigate their antihypertensive effects in vivo. Methods: After assessing the stability of MEPs in vitro, we investigated the effect of MEPs on hypertension using spontaneously hypertensive rats (SHRs). Subsequently, MEPs were purified and identified by ultrafiltration, gel filtration chromatography and liquid chromatography-tandem mass spectrometry (LC–MS/MS). Results: Our study demonstrated that MEPs could keep stable ACE inhibitory activity after treatment with heat, acid, alkali, metal ions and simulated gastrointestinal digestive fluid. Additionally, the animal experiments showed that both short-term and long-term treatment with MEPs resulted in a significant reduction in systolic and diastolic blood pressure in SHRs. Mechanistically, the results suggested that MEPs could reduce vascular remodeling, regulate renin-angiotensin system (RAS), and inhibit kidney and myocardial fibrosis. Finally, we isolated and identified five peptides from MEPs, with the peptide Ile-Leu-Thr-Glu-Arg showed the highest ACE inhibition rate. Conclusion: Our findings demonstrate the potential use of MEPs as active components in functional foods designed to lower blood pressure. [ABSTRACT FROM AUTHOR]

The process of cheese-making has long been part of human food culture and nowadays dairy represents a large sector of the food industry. Being the main byproduct of cheese-making, the revalorization of milk whey is nowadays one of the primary goals in alignment with the principles of the circular economy. In the present paper, a deep and detailed investigation of short endogenous peptides in milk and its byproducts (whole whey, skimmed whey, and whey permeate) was carried out by high-resolution mass spectrometry, with a dedicated suspect screening data acquisition and data analysis approach. A total of 79 short peptides was tentatively identified, including several sequences already known for their exerted biological activities. An unsupervised chemometric approach was then employed for highlighting the differences in the short peptide content among the four sets of samples. Whole and skimmed whey showed not merely a higher content of short bioactive peptides compared to whole milk, but also a peculiar composition of peptides that are likely generated during the process of cheese-making. The results clearly demonstrate that whey represents a valuable source of bioactive compounds and that the set-up of processes of revalorization of milk byproducts is a promising path in the obtention of high revenue-generating products from dairy industrial waste. [ABSTRACT FROM AUTHOR]