Proteomics

Dataset Information

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Urinary glycopeptide analysis for the investigation of novel biomarkers


ABSTRACT: The aim of this study was to investigate the presence of intact O- and N-glycopeptides in profiles of normal human urine analyzed by capillary electrophoresis coupled to mass spectrometry (CE-MS).CE and liquid chromatography coupled to tandem mass spectrometry (CE- and LC-MS/MS) were both used to identify glycopeptide sequences. Furthermore, we estimated the abundance levels of these glycopeptides in urine from five different cancer types i.e. bladder cancer (BCa), prostate cancer (PCa), pancreatic cancer, cholangiocarcinoma (CC) and renal cell carcinoma (RCC).

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

DISEASE(S): Prostate Cancer,Urinary Bladder Cancer,Pancreatic Cancer,Renal Cell Carcinoma,Cholangiocarcinoma

SUBMITTER: Martin Pejchinovski  

LAB HEAD: Martin Pejchinovski

PROVIDER: PXD011214 | Pride | 2018-11-29

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
010414_control.msf Msf
010414_control.raw Raw
030516_control.msf Msf
030516_control.raw Raw
030816_control.msf Msf
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Publications

Urinary Glycopeptide Analysis for the Investigation of Novel Biomarkers.

Belczacka Iwona I   Pejchinovski Martin M   Krochmal Magdalena M   Magalhães Pedro P   Frantzi Maria M   Mullen William W   Vlahou Antonia A   Mischak Harald H   Jankowski Vera V  

Proteomics. Clinical applications 20181018 3


<h4>Purpose</h4>Urine is a rich source of potential biomarkers, including glycoproteins. Glycoproteomic analysis remains difficult due to the high heterogeneity of glycans. Nevertheless, recent advances in glycoproteomics software solutions facilitate glycopeptide identification and characterization. The aim is to investigate intact glycopeptides in the urinary peptide profiles of normal subjects using a novel PTM-centric software-Byonic.<h4>Experimental design</h4>The urinary peptide profiles o  ...[more]

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