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1.

001-es BibID:BIBFORM083085
035-os BibID:(WoS)000542144300010 (Scopus)85076708163
Első szerző:Abrahams, Jodie L.
Cím:Recent advances in glycoinformatic platforms for glycomics and glycoproteomics / Jodie L. Abrahams, Ghazaleh Taherzadeh, Gabor Jarvas, Andras Guttman, Yaoqi Zhou, Matthew P. Campbell
Dátum:2020
ISSN:0959-440X
Megjegyzések:Protein glycosylation is the most complex and prevalent posttranslation modification in terms of the number of proteins modified and the diversity generated. To understand the functional roles of glycoproteins it is important to gain an insight into the repertoire of oligosaccharides present. The comparison and relative quantitation of glycoforms combined with site-specific identification and occupancy are necessary steps in this direction. Computational platforms have continued to mature assisting researchers with the interpretation of such glycomics and glycoproteomics data sets, but frequently support dedicated workflows and users rely on the manual interpretation of data to gain insights into the glycoproteome. The growth of site-specific knowledge has also led to the implementation of machine-learning algorithms to predict glycosylation which is now being integrated into glycoproteomics pipelines. This short review describes commercial and open-access databases and software with an emphasis on those that are actively maintained and designed to support current analytical workflows.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Current Opinion In Structural Biology. - 62 (2020), p. 56-69. -
További szerzők:Taherzadeh, Ghazaleh Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök) Zhou, Yaoqi Campbell, Matthew P.
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2.

001-es BibID:BIBFORM099680
Első szerző:Auer, Felicia
Cím:Recent advances in the analysis of human milk oligosaccharides by liquid phase separation methods / Auer Felicia, Jarvas Gabor, Guttman Andras
Dátum:2021
ISSN:1570-0232
Megjegyzések:Human milk is a complex, dynamically changing biological fluid, which contains a large amount of nonconjugated carbohydrates, referred to as human milk oligosaccharides (HMOs). These HMOs are very important for the infants as they play important roles in the formation of the gut microbiome, the immune system and support brain development. HMOs show highly complex structural diversity due to numerous linkage possibilities of the building monosaccharides. In order to elucidate their structure?function relationship and to develop more effective infant formulas, cutting-edge analytical technologies are in great demand. In this paper, we review the current strategies for HMO analysis based on liquid phase separation methods. High performance liquid chromatography, capillary electrophoresis and their hyphenation with mass spectrometry are critically reviewed, emphasizing their advantages and disadvantages from practical point of views. Recent advances of the methods are categorized according to their application fields.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Human milk
Oligosaccharides
Analysis
Chromatography
Electrophoresis
Mass spectrometry
Megjelenés:Journal Of Chromatography B-Analytical Technologies In The Biomedical And Life Sciences. - 1162 (2021), p. 1-9. -
További szerzők:Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:2018-2.1.17-T?ET-KR-2018-00010
Egyéb
BIONANO_GINOP-2.3.2- 15-2016-00017
GINOP
NN127062
OTKA
TKP2020-IKA-07
OTKA
UNKP-20-5
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3.

001-es BibID:BIBFORM084562
035-os BibID:(Scopus)84961282078 (WOS)000379133500002
Első szerző:Bodnár Judit
Cím:Enzymatic removal of N-glycans by PNGase F coated magnetic microparticles / Bodnar Judit, Szekrenyes Akos, Szigeti Marton, Jarvas Gabor, Krenkova Jana, Foret Frantisek, Guttman Andras
Dátum:2016
ISSN:0173-0835 1522-2683
Megjegyzések:Investigation of protein glycosylation is an important area in biomarker discovery and biopharmaceutical research. Alterations in protein N-glycosylation can be an indication of changes in pathological conditions in the medical field or production parameters of biotherapeutics. Rapid development of these disciplines calls for fast, high-throughput, and reproducible methods to analyze protein N-glycosylation. Currently used methods require either long deglycosylation times or large excess of enzymes. In this paper, we report on the use of PNGase F immobilization onto the surface of magnetic microparticles and their use in rapid and efficient removal of N-glycans from glycoproteins. The use of immobilized PNGase F also allowed reusability of the enzyme-coated beads as the magnetic microparticles can be readily partitioned from the sample by a magnet after each deglycosylation reaction. The efficiency and activity of the PNGase F coated magnetic beads was compared with in-solution enzyme reactions using standard glycoproteins possessing the major N-glycan types of neutral, high mannose, and highly sialylated carbohydrates. The PNGase F coated magnetic beads offered comparable deglycosylation level to the conventional in-solution based method in 10-min reaction times for the model glycoproteins of immunoglobulin G (mostly neutral carbohydrates), ribonuclease B (high mannose type sugars), and fetuin (highly sialylated oligosaccharides) with the special features of easy removal of the enzyme from the reaction mixture and reusability.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Deglycosylation
Enzyme immobilization
Magnetic microparticles
PNGase F
Megjelenés:Electrophoresis. - 37 : 10 (2016), p. 1264-1269. -
További szerzők:Szekrényes Ákos (1983-) (vegyészmérnök) Szigeti Márton (1986-) (környezetmérnök) Járvás Gábor (1982-) (vegyészmérnök) Krenkova, Jana Foret, František Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:K116263
NKFIH
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4.

001-es BibID:BIBFORM071246
Első szerző:Döncző Boglárka (biológiatanár-földrajztanár)
Cím:Glikomika a modern orvostudományban : transzlációs aspektusok / Döncző Boglárka, Bodnár Judit, Szigeti Márton, Járvás Gábor, Hajba László, Guttman András
Dátum:2015
Tárgyszavak:Orvostudományok Elméleti orvostudományok ismeretterjesztő, népszerűsítő cikk
Megjelenés:Interdiszciplináris Magyar Egészségügy 14 : 6 (2015), p. 24-28. -
További szerzők:Bodnár Judit Szigeti Márton (1986-) (környezetmérnök) Járvás Gábor (1982-) (vegyészmérnök) Hajba László Guttman András (1954-) (vegyészmérnök)
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5.

001-es BibID:BIBFORM135986
035-os BibID:(wos)001652152100006
Első szerző:Farsang Róbert
Cím:Nitrite and Nitrate Analysis by Capillary Electrophoresis with Direct UV Absorbance Detection : a Mini-Review / Farsang Róbert, Hogyor Kinga, Járvás Gábor, Guttman András
Dátum:2025
ISSN:0133-0276
Megjegyzések:The analysis of nitrite and nitrate ions is of great importance in environmental samples, food and various human samples. In contrast to conventional spectrophotometric methods, nitrite and nitrate ions are relatively easy to analyze by capillary electrophoresis as both are negatively charged over a wide pH range as well as absorb over a broad UV range so that they can be analyzed simultaneously by capillary electrophoresis. In this paper, different separation strategies for the analysis of nitrite and nitrate by capillary electrophoresis with direct UV abso rbance detection are presented
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
capillary electrophoresis
nitrite
nitrate, analysis
Megjelenés:Hungarian Journal of Industrial Chemistry. - 53 : 2 (2025), p. 73-78. -
További szerzők:Hogyor Kinga Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:PTP2025
Egyéb
NKFIH ADVANCED-150780
Egyéb
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6.

001-es BibID:BIBFORM121603
035-os BibID:(Scopus)85194393047 (WoS)001248542600001
Első szerző:Farsang Róbert
Cím:Glucose unit computation in capillary zone electrophoresis of carbohydrates using a numerical approximation based search for a virtual EOF marker. A tutorial / Robert Farsang, Anna Farkas, Gábor Jarvas, András Guttman
Dátum:2024
ISSN:0165-9936
Megjegyzések:Several high-resolution carbohydrate separation methods are currently available for structural elucidation in the analytical glycomics field, but the associated glyco-informatics support is lagging. Identifying protein-bound glycan structures represents a multifaceted challenge with elements of separation science, bioinformatics, and sophisticated computational methods. In electroosmotic flow (EOF) driven separations with counter currently migrating sample components, the apparent migration times of the analyte molecules are the result of the interplay between their effective electrophoretic mobilities and the EOF. The resulting continuously increasing migration time distances between the consecutively migrating maltodextrin oligomers make glucose unit value calculation and the subsequent structural interpretation of unknown glycans extremely challenging. To correct this irregularity, a numerical approximation-based search-derived virtual electroosmotic flow marker is introduced and utilized. This tutorial guides the reader through the computation process for structural elucidation of N-linked carbohydrates by using a detailed worked example with a monoclonal antibody of biopharmaceutical interest.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Carbohydrates
Capillary electrophoresis
Virtual EOF marker
Numerical approximation
Maltodextrin ladder
Glucose unit
Megjelenés:Trac-Trends In Analytical Chemistry. - 176 (2024), p. 1-9. -
További szerzők:Farkas Anna (1988-) (molekuláris biológus) Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:2023-1.2.1-ERA_NET-2023-00015
Egyéb
1G3DBK0CTUF247
Egyéb
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7.

001-es BibID:BIBFORM116213
035-os BibID:(WoS)001104988800001 (Scopus)85178183698
Első szerző:Farsang Róbert
Cím:Capillary Zone Electrophoresis of 8-Aminopyrene-1,3,6-trisulfonic Acid Labeled Carbohydrates with Online Electrokinetic Sample Cleanup / Farsang Robert, Hogyor Kinga, Jarvas Gabor, Guttman Andras
Dátum:2023
ISSN:0003-2700
Megjegyzések:Capillary electrophoresis is one of the frequently used separation techniques for the analysis of complex carbohydrates. Since sugars lack chromophore or fluorophore groups, their capillary electrophoresis analysis usually requires tagging by a charged fluorophore. To speed up the derivatization reaction, a large excess of the labeling reagent is typically used; therefore, a purification step is necessary prior to CE analysis using the industry standard low-pH gel-buffer system. In addition to representing an extra sample preparation step with the associated labor and cost, the purification process also holds the risk of losing some of the sample components. In this paper we introduce an online electrokinetic sample cleanup process with electroosmotic flow (EOF)-assisted separation in a bare fused silica capillary using alkaline pH background electrolyte and normal polarity separation voltage. 8-Aminopyrene-1,3,6-trisulfonic acid (APTS)-labeled maltooligosaccharides were analyzed first to understand the complex effect of the downstream EOF and the counter current electromigration of the sample components including the labeling dye. The use of 150 mM caproic acid?253 mM Tris (pH 8.1) running buffer facilitated the entrance of the sample components of interest into the separation capillary, while the excess labeling reagent was excluded and, therefore, did not interfere with the detection. The alkaline caproic acid?Tris running buffer was then applied to the N-glycome analysis of human serum samples, showing excellent separation performance, and more importantly, the extra sample purification step was not required.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Capillary electrophoresis
Carbohydrates
Electroosmosis
Labeling
Polarity
Megjelenés:Analytical Chemistry. - 95 : 45 (2023), p. 16459-16464. -
További szerzők:Hogyor Kinga Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:DE TUDFIN
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8.

001-es BibID:BIBFORM115940
035-os BibID:(scopus)85175539824
Első szerző:Farsang Róbert
Cím:Purification free N-glycan analysis by capillary zone electrophoresis : Hunt for the lost glycans / Farsang Robert, Jarvas Gabor, Guttman Andras
Dátum:2024
ISSN:0731-7085
Megjegyzések:Capillary gel electrophoresis is a widely used method for rapid separation of fluorophore labeled carbohydrates. Even though, many publications conferred about this popular technique, no report yet investigated the possible sample losses during the purification process of the fluorophore labeling reaction mixture. In the present work, normal polarity capillary zone electrophoresis separation mode was applied to take advantage of the opposite migration directions of the electroosmotic flow and the negatively charged sample components using Tris- hexanoic acid running buffer at basic pH. For purification free oligosaccharide analysis, the separation parameters were designed in such a way that the triple charged labeling reagent of aminopyrenetrisulfonate (APTS) could not enter the separation capillary in contrary to the labeled sample components of interest, therefore, the APTS did not have to be removed before analysis. The method was used to show electrophoretic profile differences possibly caused by the cleanup process that was immediately apparent by comparing the electropherograms of the purified and non-purified APTS labeled maltooligosaccharides. Furthermore, qualitative and quantitative N-glycosylation profile alterations were revealed during CZE separation of the fluorophore labeling reaction mixtures before and after purification along with the analysis of the consecutively used washing solutions for the well characterized standard glycoproteins of IgG, ribonuclease B and fetuin.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
N-glycans
Capillary zone electrophoresis
Purification
Sample loss
Megjelenés:Journal Of Pharmaceutical And Biomedical Analysis. - 238 (2024), p. 1-5. -
További szerzők:Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
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9.

001-es BibID:BIBFORM106794
035-os BibID:(scopus)85141755492 (wos)000881482500001
Első szerző:Farsang Róbert
Cím:Ultrahigh-Sensitivity Capillary Electrophoresis Analysis of Trace Amounts of Nitrate and Nitrite in Environmental Water Samples / Farsang Robert, Kovacs Zsofia, Jarvas Gabor, Guttman Andras
Dátum:2022
ISSN:2297-8739
Megjegyzések:The role of nitrite (NO2?) and nitrate (NO3?) is essential in the global nitrogen cycle. Monitoring their concentration in environmental and industrial aqueous samples, surface water, soil, food and agricultural products are of high importance. Especially, the effect of anthropogenic emission, i.e., intensified agriculture is essential due to the overuse of nitrogen, phosphorus and potassium fertilizers. The most widely utilized methods for nitrate and nitrite determination are colorimetry, potentiometry, UV absorption and liquid chromatography. Among them, UV spectroscopy is the most frequently used technique due to the fact of its versatility and simplicity. However, there are industrial and academic needs to develop new methods to overcome some drawbacks of the currently used techniques such as an inadequate limit of detection and potential interferences with organic compounds in the sample. In this paper, we report on the development of a new analytical method based on capillary electrophoresis separation with high-sensitivity UV detection, capable of measuring trace concentrations of nitrite and nitrate well below the current limits of UV spectroscopy methods. During the development process special attention was paid to practical aspects, i.e., the method was tested to quantify nitrate and nitrite in various surface water samples.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Separations. - 9 : 11 (2022), p. 1-7. -
További szerzők:Kovács Zsófia Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:RRF 2.3.1-21-2022-00008
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10.

001-es BibID:BIBFORM082495
Első szerző:Filep Csenge Boróka (biomérnök)
Cím:N-glycosylation analysis of biopharmaceuticals by multicapillary gel electrophoresis : generation and application of a new glucose unit database / Csenge Filep, Beata Borza, Gabor Jarvas, Andras Guttman
Dátum:2020
ISSN:0731-7085
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Journal of Pharmaceutical and Biomedical Analysis. - 178 (2020), p. 1-5. -
További szerzők:Borza Beáta (1990-) (biomérnök) Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:NN127062
NKFIH
2018-2.1.17-TÉT-KR-2018-00010
Egyéb
GINOP-2.3.2-15-2016-00017
GINOP
EFOP-3.6.3-VEKOP16-2017-00009
EFOP
ÚNKP-19-3-I-DE-356
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11.

001-es BibID:BIBFORM092956
Első szerző:Fonslow, Bryan
Cím:Multilevel Characterization of Antibody-Ligand Conjugates by CESI-MS / Bryan Fonslow, Gábor Jarvas, Marton Szigeti, András Guttman
Dátum:2020
ISSN:1566-5240
Megjegyzések:Aim: To demonstrate the capabilities of our new capillary electrophoresis mass spectrometry method, which facilitates highly accurate relative quantitation of modification site occupancy of antibody-ligand (e.g., antibody-drug) conjugates. Background: Antibody-drug conjugates play important roles in medical discovery for imaging and therapeutic intervention. The localization and stoichiometry of the conjugation can affect the orientation, selectivity, specificity, and strength of molecular interactions, influencing biochemical function. Objective: To demonstrate the option to analyze the localization and stoichiometry of antibody-ligand conjugates by using essentially the same method at all levels including ligand infusion, peptide mapping, as well as reduced and intact protein analysis. Materials and Methods: Capillary electrophoresis coupled with electrospray ionization mass spectrometry was used to analyze the antibody-ligand conjugates. Results: We identified three prevalent ligand conjugation sites with estimated stoichiometries of 73, 14, and 6% and an average ligand-antibody ratio of 1.37, illustrating the capabilities of CE-ESI-MS for rapid and efficient characterization of antibody-drug conjugates. Conclusion: The developed multilevel analytical method offers a comprehensive way to determine the localization and stoichiometry of antibody-drug conjugates for molecular medicinal applications. In addition, a significant advantage of the reported approach is the small, hydrophilic, unmodified peptides well separated from the neutrals, which is not common with other liquid phase separation methods such as LC.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Current Molecular Medicine. - 20 : 10 (2020), p. 789-797. -
További szerzők:Járvás Gábor (1982-) (vegyészmérnök) Szigeti Márton (1986-) (környezetmérnök) Guttman András (1954-) (vegyészmérnök)
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12.

001-es BibID:BIBFORM135984
Első szerző:Gombás Veronika
Cím:Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms / Gombás Veronika, Török Rebeka, Vitai Márta, Korányi László, Járvás Gábor, Guttman András, Vathy-Fogarassy Ágnes
Dátum:2025
ISSN:0926-9630 1879-8365
Megjegyzések:Background: Type 2 diabetes (T2D) continues to present a global public health challenge due to its increasing prevalence. Early diagnosis is critical for preventing complications, but current screening methods often fail to detect early diabetic conditions. Objectives: This study aimed to classify T2D patients from healthy individuals using high-resolution N-glycan profiling. Methods: Glycan profiling was performed on serum samples from 161 individuals using capillary electrophoresis with laser-induced fluorescence detection. Different classification methods were fine-tuned using hyperparameter optimization and feature selection techniques, and their performance was comprehensively evaluated based on quality metrics. Results: The Extra Trees Classifier outperformed the other models with the highest median AUC, demonstrating robust accuracy (0.8982), sensitivity (0.8966), and specificity (0.9000). Conclusion: N-glycan profiling combined with machine learning provides a promising approach for early T2D detection. The Extra Trees Classifier showed exceptional predictive performance, warranting further investigation with larger datasets to validate its clinical applicability.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Classification
Type 2 Diabetes
N-glycan
Machine learning
Hyperparameter optimization
Megjelenés:Health technology and informatics. - 324 (2025), p. 84-89. -
További szerzők:Török Rebeka Vitai Márta (1961-) (okleveles vegyész) Korányi László Járvás Gábor (1982-) (vegyészmérnök) Guttman András (1954-) (vegyészmérnök) Vathy-Fogarassy Ágnes
Pályázati támogatás:PTP2025
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