Dataset Information


Glycopeptide identification by LC-MS/MS

ABSTRACT: Automatic and rapid identification of glycopeptides by nano-uplc-ltq-ft-ms and proteomic search engine


ORGANISM(S): Homo sapiens   Bos taurus  

TISSUE(S): Tissue Not Applicable To Dataset

DISEASE(S): Not Available

SUBMITTER: Marina Gay  

LAB HEAD: Marta Vilaseca

PROVIDER: PXD003578 | Pride | 2016-12-23


Dataset's files

Action DRS
AGP_bovina_2.RAW Raw
AGP_bovina_3.RAW Raw
EPO_1pmol_3.RAW Raw
EPO_incl_list_100min_2.RAW Raw
Glycopeptide_ByonicResults.csv Csv
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Automatic and rapid identification of glycopeptides by nano-UPLC-LTQ-FT-MS and proteomic search engine.

Giménez Estela E   Gay Marina M   Vilaseca Marta M  

Journal of proteomics 20161117

Here we demonstrate the potential of nano-UPLC-LTQ-FT-MS and the Byonic™ proteomic search engine for the separation, detection, and identification of N- and O-glycopeptide glycoforms in standard glycoproteins. The use of a BEH C18 nanoACQUITY column allowed the separation of the glycopeptides present in the glycoprotein digest and a baseline-resolution of the glycoforms of the same glycopeptide on the basis of the number of sialic acids. Moreover, we evaluated several acquisition strategies in o  ...[more]

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