Scientific Projects Supported by TUBITAK
Development of a Machine Learning Based Model for Biological Age Determination from Saliva Using the Igg N-Glycome and Validation Based on Serum Igg N-Glycosylation Profiles, TÜBİTAK 1001, 2024-Continue-1.650.000 TL
Development and Optimization of High-Sensitivity Bioanalytical Methods for Mass Spectrometry-Based Glycomics Analysis: Towards Single Cell Analysis, TÜBİTAK 1001, 2024-Continue-1.650.000 TL
Comprehensive Investigation of Plasma N- and O-Glycosylation Profiles of Non-Small Cell Lung Cancer and Development of a Classification Model for Prediagnosis of Lung Cancer Using Machine Learning Approaches-TÜBİTAK COST, 2024-Continue-1.650.000 TL
Determination of Changes in the Basic Components of Milk in Fermentation and Storage Processes of Kefir by Mass Spectrometry-based Omic-Strategies, TUBITAK 1001, 2020-2023-Finilized.
This project is aimed to determine the changes in milk proteome, glycoproteome, phosphoproteome, glycome, free oligosaccharide, and short-sequence peptide profiles by high-throughput mass spectrometric techniques during fermentation and storage of milk with a kefir culture.
In-depth Analysis of Milk Whey N-glycomes by MALDI-TOF/TOF-MS using Linkage-Specific Sialic Acid Esterification Approach and Site-Specific N- and O-Glycosylation Analysis of Whey Proteomes, TUBITAK, 3501. Finalized.
An in-depth milk whey N-glycan map of various species (human, cow, goat, buffalo, donkey) was achieved by using a linkage-specific sialic acid esterification approach and obtained glycan diversity information of each species.
In-depth Site-Specific Glycosylation Analyzes of Human Thyroglobulin Protein Using Advanced Mass Spectrometric Methods, TUBITAK 1002, Finalized.
This study aimed to profile human Tg N-glycosylation sites and their glycan contents by using high-throughput glyco-analytical strategies, including glycopeptide and glycan levels.
Scientific Projects Supported by Health Institutes of Turkiye (TUSEB)
Determination of Site-Specific N-glycosylation Changes of Thyroglobulin Protein in Thyroid Cancer Tissues-2023-continue.
Scientific Projects Supported by Karabuk University
A Machine Learning Application For Mass Spectrometry-based Clinical Glycomics
Glycomic Profiles of Renal Cell Carcinoma by MALDI-Imaging
Site-Specific N-glycosylation Analysis of Haptoglobulin Phenotypes
Comparıson of Denaturing Agents Used In N-Glycan Release Methods For Quantitative Glycomıc Analysis
Development of a Bioanalytical Method for Rapid and Efficient N-Glycan Analysis of Therapeutic Proteins by Mass Spectrometric Methods