PXD021104-1

PXD021104 is an original dataset announced via ProteomeXchange.

Title	one step carboxyl group isotopic labeling for quantitative analysis of N-glycopeptide by Mass Spectrometry
Description	Glycosylation is one of the most common and important post-translational modifications. Quantitative analysis of intact N-glycopeptides is critical to understand the role of protein glycosylation in physiological and pathological processes. In this work, we developed a novel approach called methylamine stable isotope labeling (MeSIL) to relatively quantify intact N-glycopeptides through one step isotopic labeling. Isotopic methylamine was employed to label both the sialic acid residues of glycans and the carboxyl groups on the peptide moiety, and followed by the mixing of samples for mass spectrometric analysis. The relative abundance of intact N-glycopeptides between two samples was obtained by comparing the signal of the particular peak pairs with a 3*N Da mass shift (where N is an integer correlating with the number of carboxylic acids within the glycopeptides). Additionally, the number of sialylated glycopeptides can be distinguished simultaneously through the mass difference after labeling. The MeSIL str
HostingRepository	iProX
AnnounceDate	2020-08-25
AnnouncementXML	Submission_2023-08-24_21:16:27.723.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Zhenyu Sun
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	complex glycosylation
Instrument	Orbitrap Fusion

Revision	Datetime	Status	ChangeLog Entry
0	2020-08-25 02:14:44	ID requested
⏵ 1	2023-08-24 21:16:28	announced

Sun Z, Ji G, Wang G, Wei L, Zhang Y, Lu H, -glycopeptides by mass spectrometry. Chem Commun (Camb), 57(34):4154-4157(2021) [pubmed]

submitter keyword: quantification,intact N-glycopeptides

Haojie Lu
contact affiliation	Fudan University
contact email	luhaojie@fudan.edu.cn
lab head
Zhenyu Sun
contact affiliation	Fudan University
contact email	18111510003@fudan.edu.cn
dataset submitter

iProX dataset URI