Project description:To discover potential biomarkers of melanoma development and progression, we embarked on studies comparing the glycomic gene profiles of normal human epidermal melanocytes with human metastatic melanoma (MM) cells represented by A375 and G361 cell lines. Glycomic features embody all of those enzymatic, membranous and regulatory proteins that influence glycan ‘sugar’ formation/degradation on a cell. Comparative expression profiling of glycomic genes indicated that several genes were differentially expressed between normal melanocytes and MM cells. We speculate that glycome genes differentially expressed in MM cells help drive malignant and metastatic behavior of MM cells and could potentially serve as a biomarker(s) of melanoma progression.
Project description:N-glycomic data and results of lung cells obtained using Agilent chip-QToF (Agilent 6520A). Reference: Glycosylation pathways of individual and site-specific glycan structures are elucidated by correlating RNAseq with glycomic and glycoproteomic methods in lung cancer cells.
Project description:Proteomic data and results of lung cells obtained using Orbitrap Fusion Lumos. Reference: Glycosylation pathways of individual and site-specific glycan structures are elucidated by correlating RNAseq with glycomic and glycoproteomic methods in lung cancer cells.
Project description:N-glycoproteomics of lung cells obtained using Orbitrap Fusion Lumos. Reference: Glycosylation pathways of individual and site-specific glycan structures are elucidated by correlating RNAseq with glycomic and glycoproteomic methods in lung cancer cells.
Project description:This data set contains all raw data files in the mzXML format that belongs to the manuscript: Profiling the Proteoforms of Urinary Prostate Specific Antigen by Capillary Electrophoresis Mass Spectrometry, by Alan B. Moran, Elena Dominguez Vega, Jan Nouta, Tamas Pongracz, Theo M. de Reijke, Manfred Wuhrer and Guinevere S.M. Lageveen-Kammeijer.
Project description:This data set contains all raw data files in the mzXML format that belongs to the manuscript: Profiling the Proteoforms of Urinary Prostate Specific Antigen by Capillary Electrophoresis Mass Spectrometry, by Alan B. Moran, Elena Dominguez Vega, Jan Nouta, Tamas Pongracz, Theo M. de Reijke, Manfred Wuhrer and Guinevere S.M. Lageveen-Kammeijer.
Project description:This data set contains all raw data files in the mzXML (for CE-ESI-MS data) or xy (for MALDI-TOF-MS data) format that belongs to the manuscript "Highly sensitive CE-ESI-MS analysis of N-glycans from complex biological samples" by Guinevere S.M. Lageveen-Kammeijer, Noortje de Haan, Pablo Mohaupt, Sander Wagt, Mike Filius, Jan Nouta, David Falck and Manfred Wuhrer.