Sensitive Analysis of Recombinant Human Erythropoietin Glycopeptides by On-Line Phenylboronic Acid Solid-Phase Extraction Capillary Electrophoresis Mass Spectrometry.

In this study, several chromatographic sorbents: porous graphitic carbon (PGC), aminopropyl hydrophilic interaction (aminopropyl-HILIC), and phenylboronic acid (PBA) were assessed for the analysis of glycopeptides by on-line solid-phase extraction capillary electrophoresis mass spectrometry (SPE-CE-MS). As the PBA sorbent provided the most promising results, a PBA-SPE-CE-MS method was developed for the selective and sensitive preconcentration of glycopeptides from enzymatic digests of glycoproteins. Recombinant human erythropoietin (rhEPO) was selected as the model glycoprotein and subjected to enzymatic digestion with several proteases. The tryptic O126 and N83 glycopeptides from rhEPO were targeted to optimize the methodology. Under the optimized conditions, intraday precision, linearity, limits of detection (LODs), and microcartridge lifetime were evaluated, obtaining improved results compared to that from a previously reported TiO2-SPE-CE-MS method, especially for LODs of N-glycopeptides (up to 500 times lower than by CE-MS and up to 200 times lower than by TiO2-SPE-CE-MS). Moreover, rhEPO Glu-C digests were also analyzed by PBA-SPE-CE-MS to better characterize N24 and N38 glycopeptides. Finally, the established method was used to analyze two rhEPO products (EPOCIM and NeuroEPO plus), demonstrating its applicability in biopharmaceutical analysis. The sensitivity of the proposed PBA-SPE-CE-MS method improves the existing CE-MS methodologies for glycopeptide analysis and shows a great potential in glycoprotein analysis to deeply characterize protein glycosites even at low concentrations of the protein digest.

A Proteomics Data Mining Strategy for the Identification of Quinoa Grain Proteins with Potential Immunonutritional Bioactivities.

Quinoa proteins are attracting global interest for their wide amino acid profile and as a promising source for the development of biomedical treatments, including those against immune-mediated diseases. However, information about the bioactivity of quinoa proteins is scarce. In this study, a quinoa grain proteome map obtained by label-free mass spectrometry-based shotgun proteomics was investigated for the identification of quinoa grain proteins with potential immunonutritional bioactivities, including those related to cancer. After carefully examining the sequence similarities of the 1211 identified quinoa grain proteins against already described bioactive proteins from other plant organisms, 71, 48, and 3 of them were classified as antimicrobial peptides (AMPs), oxidative stress induced peptides (OSIPs), and serine-type protease inhibitors (STPIs), respectively, suggesting their potential as immunomodulatory, anti-inflammatory, and anticancer agents. In addition, data interpretation using Venn diagrams, heat maps, and scatterplots revealed proteome similarities and differences with respect to the AMPs, OSIPs, and STPIs, and the most relevant bioactive proteins in the predominant commercial quinoa grains (i.e., black, red, white (from Peru), and royal (white from Bolivia)). The presented proteomics data mining strategy allows easy screening for potentially relevant quinoa grain proteins and commercial classes for immunonutrition, as a basis for future bioactivity testing.

Protein profiling and classification of commercial quinoa grains by MALDI-TOF-MS and chemometrics.

Quinoa is an Andean grain that is attracting attention worldwide as a high-quality protein-rich food. Nowadays, quinoa foodstuffs are susceptible to adulteration with cheaper cereals. Therefore, there is a need to develop novel methodologies for protein characterization of quinoa. Here, we first developed a matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) method to obtain characteristic mass spectra of protein extracts from 4 different commercial quinoa grains, which group different varieties marketed as black, red, white (from Peru) and royal (white from Bolivia). Then, data preprocessing and peak detection with MALDIquant allowed detecting 47 proteins (being 30 tentatively identified), the intensities of which were considered as fingerprints for multivariate data analysis. Finally, classification by partial least squares-discriminant analysis (PLS-DA) was excellent, and 34 out of the 47 proteins were critical for differentiation, confirming the potential of the methodology to obtain a reliable classification of quinoa grains based on protein fingerprinting.

Determination of Sialic Acid Isomers from Released N-Glycans Using Ion Mobility Spectrometry.

Complex carbohydrates are ubiquitous in nature and represent one of the major classes of biopolymers. They can exhibit highly diverse structures with multiple branched sites as well as a complex regio- and stereochemistry. A common way to analytically address this complexity is liquid chromatography (LC) in combination with mass spectrometry (MS). However, MS-based detection often does not provide sufficient information to distinguish glycan isomers. Ion mobility-mass spectrometry (IM-MS)─a technique that separates ions based on their size, charge, and shape─has recently shown great potential to solve this problem by identifying characteristic isomeric glycan features such as the sialylation and fucosylation pattern. However, while both LC-MS and IM-MS have clearly proven their individual capabilities for glycan analysis, attempts to combine both methods into a consistent workflow are lacking. Here, we close this gap and combine hydrophilic interaction liquid chromatography (HILIC) with IM-MS to analyze the glycan structures released from human alpha-1-acid glycoprotein (hAGP). HILIC separates the crude mixture of highly sialylated multi-antennary glycans, MS provides information on glycan composition, and IMS is used to distinguish and quantify α2,6- and α2,3-linked sialic acid isomers based on characteristic fragments. Further, the technique can support the assignment of antenna fucosylation. This feature mapping can confidently assign glycan isomers with multiple sialic acids within one LC-IM-MS run and is fully compatible with existing workflows for N-glycan analysis.

On-line Immobilized Enzyme Microreactor Capillary Zone Electrophoresis-Mass Spectrometry for Peptide Mapping.

Peptide mapping is a routine procedure for protein characterization in proteomics. This bottom-up analysis requires digestion of proteins into peptides before liquid chromatography- or capillary zone electrophoresis-mass spectrometry (LC-MS or CZE-MS, respectively). Proteins are usually digested off-line using proteolytic enzymes, typically trypsin, in solution or immobilized on appropriate supports. As an alternative, here we describe on-line immobilized enzyme microreactor capillary zone electrophoresis-mass spectrometry (IMER-CZE-MS) for a straightforward, rapid, and efficient protein digestion followed by separation, detection, and characterization of the generated peptides.

Characterizing a novel hyposialylated erythropoietin by intact glycoprotein and glycan analysis.

NeuroEPO plus is a recently developed recombinant human erythropoietin (rhEPO) without erythropoietic activity and shorter plasma half-life due to its low sialic acid content. This novel rhEPO product is under investigation as therapeutic protein in the treatment of neurodegenerative diseases owing to its neuroprotective and neurodegenerative properties. In this study, an in-depth characterization of NeuroEPO plus N-glycans was performed by a glycan isotope [12C6]/[13C6] coded aniline labeling strategy followed by capillary zwitterionic hydrophilic interaction liquid chromatography-mass spectrometry (CapZIC-HILIC-MS). A superior amount of low sialylated glycans and less branched structures were detected in NeuroEPO plus compare to other commercial rhEPOs. At the intact glycoprotein level, NeuroEPO plus glycoforms were separated by capillary zone electrophoresis with ultraviolet detection (CE-UV), optimizing the composition and pH of the separation electrolyte. Moreover, an isoelectric focusing polyacrylamide gel electrophoresis (IEF-PAGE) method was also optimized for the simultaneous analysis of this basic rhEPO and conventional acidic rhEPO products. The proposed glycomic and intact glycoprotein methods provide a robust and reliable analytical platform for NeuroEPO plus characterization and for its future implementation as biopharmaceutical in neurodegenerative diseases.

Characterization and differentiation of quinoa seed proteomes by label-free mass spectrometry-based shotgun proteomics.

Quinoa seed proteins are of prime importance in human nutrition and in plant breeding for cultivar identification and improvement. In this study, proteins from seeds of black, red, white quinoa from Peru and white quinoa from Bolivia (also known as royal) were extracted, digested and analyzed by nano-liquid chromatography coupled to Orbitrap tandem mass spectrometry (LC-MS/MS). The raw mass spectra data were processed for identification and label-free quantification (LFQ) using MaxQuant/Andromeda against a specific quinoa database from The National Center for Biotechnology Information (NCBI). In total, 1,211 quinoa proteins (85 were uncharacterized) were identified. Inspection and visualization using Venn diagrams, heat maps and Gene Ontology (GO) graphs revealed proteome similarities and differences between the four varieties. The presented data provides the most comprehensive experimental quinoa seed proteome map existing to date in the literature, as a starting point for more specific characterization and nutritional studies of quinoa and quinoa-containing foodstuff.

Analysis of Intact Glycoproteins by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) can be regarded as a key tool to rapidly obtain molecular mass information of intact glycoproteins in glycoproteomic studies and quality control of recombinant biopharmaceuticals. However, MALDI-TOF MS of these glycosylated compounds is a tricky task due to its low ionization efficiency and fragmentation of labile groups such as sialic acids.Here, we offer the reader a practical overview of the available methodologies for the confident analysis of intact glycoproteins with different glycosylation degree by MALDI-TOF MS. The three proposed methods fulfil the requirements of reproducibility and low extent of glycan fragmentation required to successfully analyze intact glycoproteins.

Site-Specific N-Linked Glycosylation Analysis of Human Carcinoembryonic Antigen by Sheathless Capillary Electrophoresis-Tandem Mass Spectrometry.

With 28 potential N-glycosylation sites, human carcinoembryonic antigen (CEA) bears an extreme amount of N-linked glycosylation, and approximately 60% of its molecular mass can be attributed to its carbohydrates. CEA is often overexpressed and released by many solid tumors, including colorectal carcinomas. CEA displays an impressive heterogeneity and variability in sugar content; however, site-specific distribution of carbohydrate structures has not been reported so far. The present study investigated CEA samples purified from human colon carcinoma and human liver metastases and enabled the characterization of 21 out of 28 potential N-glycosylation sites with respect to their occupancy. The coverage was achieved by a multienzymatic digestion approach with specific enzymes, such as trypsin, endoproteinase Glu-C, and the nonspecific enzyme, Pronase, followed by analysis using sheathless CE-MS/MS. In total, 893 different N-glycopeptides and 128 unique N-glycan compositions were identified. Overall, a great heterogeneity was found both within (micro) and in between (macro) individual N-glycosylation sites. Moreover, notable differences were found on certain N-glycosylation sites between primary adenocarcinoma and metastatic tumor in regard to branching, bisection, sialylation, and fucosylation. Those features, if further investigated in a targeted manner, may pave the way toward improved diagnostics and monitoring of colorectal cancer progression and recurrence. Raw mass spectrometric data and Skyline processed data files that support the findings of this study are available in the MassIVE repository with the identifier MSV000086774 [DOI: 10.25345/C5Z50X].

Classification of quinoa varieties based on protein fingerprinting by capillary electrophoresis with ultraviolet absorption diode array detection and advanced chemometrics.

Quinoa (Chenopodium quinoa Willd.) is an andean grain with exceptional nutritional properties that has been progressively introduced in western countries as a protein-rich super food with a broad amino acid spectrum. Quinoa is consumed as whole grain, but it is also milled to produce high-value flour, which is susceptible to adulteration. Therefore, there is a growing interest in developing novel analytical methods to get further information about quinoa at the chemical level. In this study, we developed a rapid and simple capillary electrophoresis-ultraviolet absorption diode array detection (CE-UV-DAD) method to obtain characteristic multiwavelength electrophoretic profiles of soluble protein extracts from different quinoa grain varieties. Then, advanced chemometric methods (i.e. multivariate curve resolution alternating least squares, MCR-ALS, followed by principal component analysis, PCA, and partial least squares discriminant analysis, PLS-DA) were applied to deconvolute the components present in the electropherograms and classify the quinoa varieties according to their differential protein composition.

Evaluation of on-line solid-phase extraction capillary electrophoresis-mass spectrometry with a nanoliter valve for the analysis of peptide biomarkers.

On-line solid-phase extraction capillary electrophoresis-mass spectrometry (SPE-CE-MS) is a powerful technique for high throughput sample clean-up and analyte preconcentration, separation, detection, and characterization. The most typical design due to its simplicity and low cost is unidirectional SPE-CE-MS. However, in this configuration, the sample volumes introduced by pressure depend on the dimensions of the separation capillary and some matrix components could be irreversibly adsorbed in its inner walls. Furthermore, in many cases, the requirements of on-line preconcentration are incompatible with the background electrolyte necessary for an efficient separation and sensitive MS detection. Here, we present SPE-CE-MS with a nanoliter valve (nvSPE-CE-MS) to overcome these drawbacks while keeping the design simple. The nvSPE-CE-MS system is operated with a single CE instrument and two capillaries for independent and orthogonal SPE preconcentration and CE separation, which are interfaced through an external and electrically isolated valve with a 20 nL sample loop. The instrumental setup is proved for the analysis of opioid and amyloid beta peptide biomarkers in standards and plasma samples. NvSPE-CE-MS allowed decreasing the limits of detection (LODs) 200 times with regard to CE-MS. Compared to unidirectional SPE-CE-MS, peak efficiencies were better and repeatabilities similar, but total analysis times longer and LODs for standards slightly higher due to the heart-cut operation and the limited volume of the valve loop. This small difference on the LODs for standards was compensated for plasma samples by the improved tolerance of nvSPE-CE-MS to complex sample matrices. In view of these results, the presented setup can be regarded as a promising versatile alternative to avoid complicated matrix samples entering the separation capillary in SPE-CE-MS.

Ionic matrices for matrix-assisted laser desorption/ionization mass spectrometry analysis of microRNA biomarkers.

The use of ionic matrices (IMs) was evaluated as an alternative to conventional matrices to analyze microRNAs (miRNAs) by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). 2, 4, 6-Trihydroxyacetophenone (THAP), 6-aza-2-thiothymine (ATT) and 3-hydroxypicolinic acid (3-HPA) and their IMs with pyridine (PYR) and butylamine (BA) were studied to analyze a standard mixture of miRNAs: miR-21, let-7g and iso-miR-16. Among all the studied matrices, ATT-PYR at 75 mg/mL in acetonitrile (MeCN):H2O (50:50, v/v) was selected as the optimal. Furthermore, addition of ammonium citrate dibasic (AC) as signal enhancer was mandatory to obtain an appropriate miRNA detection. ATT-PYR provided the best sensitivity, with limit of detection (LOD) up to 5 nM (equivalent to 1 fmol in the spot) and excellent spot-to-spot repeatability due to the improved homogeneity of the spots compared to the conventional matrices. The applicability of the established method to direct, multiplex and untargeted analysis of miRNAs in serum samples was also investigated.

Polymeric monolithic microcartridges with gold nanoparticles for the analysis of protein biomarkers by on-line solid-phase extraction capillary electrophoresis-mass spectrometry.

In this study, polymeric monoliths with gold nanoparticles (AuNP@monolith) were investigated as microcartridges for the analysis of protein biomarkers by on-line solid-phase extraction capillary electrophoresis-mass spectrometry (SPE-CE-MS). "Plug-and-play" microcartridges (7 mm) were prepared from a glycidyl methacrylate (GMA)-based monolithic capillary column (5 cm x 250 µm i.d.), which was modified with ammonia and subsequently functionalized with gold nanoparticles (AuNPs). The performance of these novel microcartridges was evaluated with human transthyretin (TTR), which is a protein related to different types of familial amyloidotic polyneuropathies (FAP). Protein retention depended on the isoelectric point of the protein (TTR pI~5.4) and elution was achieved with a basic phosphate solution. Under the optimized conditions, limits of detection (LODs) for TTR by AuNP@monolith-SPE-CE-MS were 50 times lower than by CE-MS (5 vs 250 mg•L-1, with an ion trap (IT) mass spectrometer). The sensitivity enhancement was similar compared to SPE-CE-MS using immunoaffinity (IA) microcartridges with intact antibodies against TTR. Linearity, repeatability in migration times and peak areas, reusability, reproducibility and application to serum samples were also evaluated.

Alterations in the Glycan Profile of Mouse Transferrin: New Insights in Collagen-Induced Arthritis.

Transferrin purification from mice serum samples by immunoaffinity chromatography (IAC) was optimized in order to study the possible modifications occurring in its glycans in collagen-induced arthritis (CIA) samples. SDS-PAGE and nanoLC-MS/MS were used to monitor the IAC purification performance. Afterward, a relative quantification of mouse transferrin (mTf) glycan isomers using [12C6]/[13C6]-aniline was used to unequivocally detect alterations in the glycan profile of CIA mice. In addition, multivariate data analysis was applied to identify the most meaningful glycan isomers for the discrimination between control and pathological samples. Partial least-squares discriminant analysis (PLS-DA) revealed that five out of fifteen mTf glycan isomers could be potential biomarkers of CIA, most of them corresponding to highly sialylated structures (H6N5S3_2, H6N5S3_3, and H5N4S3_2). Moreover, some of these glycan isomers also seemed to be related with the progression of CIA, especially H6N5S2 and H6N5S3_2, as their overexpression increased with the clinical score of the pathology. Hence, the established methodology not only provides valuable information to find glycan-based biomarkers of CIA, but also leaves the door open to evaluate, in the future, glycosylation changes of many other inflammatory diseases, in which transferrin has been described to be altered.

Analysis of glycopeptide biomarkers by on-line TiO2 solid-phase extraction capillary electrophoresis-mass spectrometry.

In this study is described an on-line titanium dioxide solid-phase extraction capillary electrophoresis-mass spectrometry (TiO2-SPE-CE-MS) method for the analysis of the glycopeptide glycoforms obtained from the tryptic digests of recombinant human erythropoietin (rhEPO). The O126-glycopeptide of rhEPO was used to optimize the methodology given its importance in quality control of biopharmaceuticals and doping analysis. Several aspects that affect the selective retention and elution, peak efficiency and electrophoretic separation of the O126 glycoforms were investigated to maximize detection sensitivity while minimizing non-specific retention of peptides. Under the optimized conditions, the microcartridge lifetime was around 10 analyses and repeatability was acceptable (%RSD values of 9-11% and 6-11% for migration times and peak areas, respectively). The method was linear between 0.5 and 50 mg L-1 and 10-50 mg L-1 for O126 glycoforms containing NeuAc and NeuGc, respectively, and limits of detection (LODs) were up to 100 times lower than by CE-MS. Although optimized for O-glycopeptides, the method proved also successful for preconcentration of N83-glycopeptides, without compromising the separation between glycopeptide glycoforms with different number of sialic acids. Tryptic digests of other glycoproteins (i.e. human apolipoprotein CIII (APO-C3) and bovine alpha-1-acid glycoprotein (bAGP)) were also analyzed, demonstrating the applicability to glycopeptides with different glycan composition and nature.

Improving separation optimization in capillary electrophoresis by using a general quality criterion.

In this paper we extend the use of the quality criterion t' to optimize separations in capillary electrophoresis (CE). The theoretical parameter t' takes into account not only the relative separation between a given pair of compounds but also their separation from the neutral species migrating with the electroosmotic flow (EOF). Furthermore, it can be composed for complex mixtures as a global multicriterium optimization function T', for a rapid, simple and reliable selection of optimized separation conditions by mathematical maximization. Here, we demonstrate the applicability of T' using as a variable the electrophoretic mobility (me) for the optimization of pH in the separation of a mixture of amyloid beta (Aß) peptide fragments. In addition, it is shown the versatility of T' using other variables related to me, which do not require experimental measurements. This is the case with ionizable compounds as the Aß peptide fragments, whose charge-to-mass ratios can be calculated if accurate pKa values are available in the literature. The excellent performance of T' for Aß peptide fragments is further validated optimizing the pH for the separation of mixtures of harmala alkaloids (HAlks) and quinolone antibiotics.

On-line Aptamer Affinity Solid-Phase Extraction Capillary Electrophoresis-Mass Spectrometry for the Analysis of Blood α-Synuclein.

In this paper, an on-line aptamer affinity solid-phase extraction capillary electrophoresis-mass spectrometry method is described for the purification, preconcentration, separation, and characterization of α-synuclein (α-syn) in blood at the intact protein level. A single-stranded DNA aptamer is used to bind with high affinity and selectivity α-syn, which is a major component of Lewy bodies, the typical aggregated protein deposits found in Parkinson's disease (PD). Under the conditions optimized with recombinant α-syn, repeatability (2.1 and 5.4% percent relative standard deviation for migration times and peak areas, respectively) and microcartridge lifetime (around 20 analyses/microcartridge) were good, the method was linear between 0.5 and 10 µg·mL-1, and limit of detection was 0.2 µg·mL-1 (100 times lower than by CE-MS, 20 µg·mL-1). The method was subsequently applied to the analysis of endogenous α-syn from red blood cells lysate of healthy controls and PD patients.

On-line protein digestion by immobilized enzyme microreactor capillary electrophoresis-mass spectrometry.

In this study, we present the use of microreactors packed with immobilized trypsin particles for the rapid and efficient bottom-up analysis of proteins by on-line immobilized enzyme microreactor capillary electrophoresis mass spectrometry (IMER-CE-MS). The results obtained digesting ß-lactoglogulin (ß-LG) off-line with free trypsin in solution and with immobilized trypsin particles were taken as a reference for the optimization of the on-line protein digestion. Under the optimized conditions, on-line digestion, separation and characterization of the protein digests were possible in less than 30 min. The limit of detection for complete sequence coverage was around 10 µg mL-1 (~500 µM) of ß-LG, the repeatability was comparable to the off-line digestion methods and the microreactor could be reused until thirty times. The good performance of IMER-CE-MS was also demonstrated for several other proteins as α-casein (α-CSN), ß-casein (ß-CSN), and κ-casein (κ-CSN), as well as for a complex protein mixture (an Escherichia coli whole cell lysate).

On-Line Immunoaffinity Solid-Phase Extraction Capillary Electrophoresis-Mass Spectrometry for the Analysis of Serum Transthyretin.

The analysis of low abundant proteins in biological fluids by capillary electrophoresis (CE) is particularly problematic due to the typically poor concentration limits of detection of microscale separation techniques. Another important issue is sample matrix complexity that requires an appropriate cleanup. Here, we describe an on-line immunoaffinity solid-phase extraction capillary electrophoresis-mass spectrometry (IA-SPE-CE-MS) method for the immunoextraction, preconcentration, separation, detection, and characterization of serum transthyretin (TTR). TTR is a protein biomarker related to diverse types of amyloidosis, such as familial amyloidotic polyneuropathy type I (FAP-I), which is the most common hereditary systemic amyloidosis.

Multivariate data analysis for the detection of human alpha-acid glycoprotein aberrant glycosylation in pancreatic ductal adenocarcinoma.

Relative quantification of human alpha-acid glycoprotein (hAGP) glycan isomers using [12C6]/[13C6]-aniline in combination with multivariate data analysis is proposed as an efficient method for the identification of pancreatic ductal adenocarcinoma (PDAC) glycan biomarkers in serum samples. Intact and desialylated glycans from hAGP, purified from serum samples of patients with PDAC and chronic pancreatitis (ChrP), were labeled with aniline and analyzed by µZIC-HILIC-MS. Afterwards, partial least squares discriminant analysis (PLS-DA) was applied to the relative areas obtained for all glycan isomers in the different samples: pathological (ChrP or PDAC) versus healthy samples. Seven intact glycan isomers with α2-6 linked sialic acids, five of them also fucosylated, were the most meaningful to distinguish between PDAC and ChrP patients. The desialylated glycan isomers also identified by PLS-DA as potential biomarker candidates confirmed that antenna but also core fucosylation could be involved in PDAC. The analysis of intact and desialylated glycan isomers in combination with the multivariate data analysis revealed that the triantennary glycan with two fucoses of hAGP could have in the future a relevant role in the differentiation of patients with PDAC from those with ChrP. SIGNIFICANCE: Multivariate data analysis is currently being used in many omics fields for biomarker discovery. However, to date, no glycomics studies have applied chemometric tools combined with mass spectrometry in a preclinical research. In this work, this methodology has been used to identify altered glycosylation of human alpha-acid glycoprotein in pancreatic ductal adenocarcinoma (PDAC). The obtained results reveal that the triantennary glycan with two fucoses could have a great biomarker potential as it was relevant to differentiate PDAC and chronic pancreatitis (ChrP) patients.