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Glycopeptide identification by LC-MS/MS

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

INSTRUMENT(S): LTQ FT

ORGANISM(S): Homo Sapiens (human) Bos Taurus (bovine)

SUBMITTER: Marina Gay

LAB HEAD: Marta Vilaseca

PROVIDER: PXD003578 | Pride | 2016-12-23

REPOSITORIES: Pride

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Dataset's files

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			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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Publications

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]

PMID: 27867116

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