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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
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM083098
035-os BibID:(WoS)000509616900017 (Scopus)85076839168 (cikkazonosító)121913
Első szerző:Mészáros Brigitta (vegyészmérnök)
Cím:Comparative analysis of the human serum N-glycome in lung cancer, COPD and their comorbidity using capillary electrophoresis / Brigitta Mészáros, Gábor Járvás, Anna Farkas, Márton Szigeti, Zsuzsanna Kovács, Renáta Kun, Miklós Szabó, Eszter Csánky, András Guttman
Dátum:2020
ISSN:1570-0232
Megjegyzések:Lung cancer (LC) and chronic obstructive pulmonary disease (COPD) are prevalent ailments with a great challenge to distinguish them based on symptoms only. Since they require different treatments, it is important to find non-invasive methods capable to readily diagnose them. Moreover, COPD increases the risk of lung cancer development, leading to their comorbidity. In this pilot study the N-glycosylation profile of pooled human serum samples (90 patients each) from lung cancer, COPD and comorbidity (LC with COPD) patients were investigated in comparison to healthy individuals (control) by capillary gel electrophoresis with high sensitivity laser-induced fluorescence detection. Sample preparation was optimized for human serum samples introducing a new temperature adjusted denaturation protocol to prevent precipitation and increased endoglycosidase digestion time to assure complete removal of the N-linked carbohydrates. The reproducibility of the optimized method was<3.5%. Sixty-one N-glycan structures were identified in the pooled control human serum sample and the profile was compared to pooled lung cancer, COPD and comorbidity of COPD with lung cancer patient samples. One important finding was that no other sugar structures were detected in any of the patient groups, only quantitative differences were observed. Based on this comparative exercise, a panel of 13 N-glycan structures were identified as potential glycobiomarkers to reveal significant changes (> 33% in relative peak areas) between the pathological and control samples. In addition to N-glycan profile changes, alterations in the individual N-glycan subclasses, such as total fucosylation, degree of sialylation and branching may also hold important glycobiomarker values.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Journal of Chromatography B-Analytical Technologies In The Biomedical And Life Sciences. - 1137 (2020), p. 1-7. -
További szerzők:Járvás Gábor (1982-) (vegyészmérnök) Farkas Anna (1988-) (molekuláris biológus) Szigeti Márton (1986-) (környezetmérnök) Kovács Zsuzsanna (1989-) Kun Renáta (1986-) (biotechnológus) Szabó Miklós (1980-) (tüdőgyógyász) Csánky Eszter (1959-) (tüdőgyógyász, klinikai immunológus, allergológus) Guttman András (1954-) (vegyészmérnök)
Pályázati támogatás:K 116263
NKFIH
BIONANO_GINOP-2.3.2-15-2016-00017
GINOP
NN 127062
NKFIH
ÚNKP-18-3-I-DE-393
Egyéb
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DOI
Intézményi repozitóriumban (DEA) tárolt változat
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3.

001-es BibID:BIBFORM092960
Első szerző:Török Rebeka
Cím:Evaluation of Possible Processing Time Effects on the Global N-Glycosylation Profile of Human Blood Samples / Rebeka Torok, Anna Farkas, András Guttman, Gabor Jarvas
Dátum:2020
ISSN:1566-5240
Megjegyzések:The utilization of N-glycan profiling recently gained high importance in fundamental biomedical and applied clinical research. However, for the time being, no glycan biomarker has been approved for clinical diagnosis by the regulatory agencies due to the lack of verifications on large patient cohorts and suitable analytical technologies. In this paper, the effect of human blood sample handling was studied prior to N-glycosylation profiling by capillary electrophoresis, coupled with high sensitivity fluorescence detection. Special attention was paid to the preservation of sialylated structures because of their important clinical - biological relevance. Our results suggested that it is adequate to refrigerate and store the collected total blood samples prior to analysis to obtain unbiased results. Furthermore, we report on the good practice of serum sample handling in order to prevent decomposition of the sialylated structures. Our findings may promote procedure standardization and easier clinical translation of diagnostic N-glycosylation profiling in molecular medicinal applications.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Current Molecular Medicine. - 20 : 10 (2020), p. 840-846. -
További szerzők:Farkas Anna (1988-) (molekuláris biológus) Guttman András (1954-) (vegyészmérnök) Járvás Gábor (1982-) (vegyészmérnök)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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