Dataset Information

HILIC and ERLIC Enrichment of Glycopeptides Derived from Breast and Brain Cancer Cells

ABSTRACT: Aberrant glycosylation has been linked to many different cancer types. The blood brain barrier (BBB) is a region of the brain that regulates the entrance of ions, diseases, toxins, etc. However in breast cancer metastasis, the BBB fails to prevent the crossing of the cancer cells into the brain. Here we present a study of identifying and quantifying the glycosylation of six breast and brain cancer cell lines using hydrophilic interaction liquid chromatography (HILIC) and electrostatic repulsion liquid chromatography (ERLIC) enrichments and LC-MS/MS analysis. Qualitative and quantitative analyses of N-linked glycosylation were performed by both enrichment techniques for individual and complementary comparison. Potential cancer glycopeptide biomarkers were identified and confirmed by chemometric and statistical evaluations. The results provide the first comprehensive glycopeptide listing for these six cell lines.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Breast Cancer

SUBMITTER: Jingfu Zhao

LAB HEAD: Yehia Mechref

PROVIDER: PXD004361 | Pride | 2019-02-27

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	126_HIERLIC_091614_01.dat	Other
	126_HIERLIC_091614_01.raw	Raw
	126_HIERLIC_091614_02.dat	Other
	126_HIERLIC_091614_02.raw	Raw
	126_HIERLIC_091614_03.dat	Other

Items per page:

1 - 5 of 72

Publications

HILIC and ERLIC Enrichment of Glycopeptides Derived from Breast and Brain Cancer Cells.

Zacharias Lauren G LG Hartmann Alyssa K AK Song Ehwang E Zhao Jingfu J Zhu Rui R Mirzaei Parvin P Mechref Yehia Y

Journal of proteome research 20160912 10

Aberrant glycosylation has been linked to many different cancer types. The blood-brain barrier (BBB) is a region of the brain that regulates the entrance of ions, diseases, toxins, and so on. However, in breast cancer metastasis, the BBB fails to prevent the crossing of the cancer cells into the brain. Here we present a study of identifying and quantifying the glycosylation of six breast and brain cancer cell lines using hydrophilic interaction liquid chromatography (HILIC) and electrostatic rep ...[more]

PMID: 27533485

Similar Datasets

Project description:Large-scale identification of N-linked intact glycopeptides by liquid chromatography coupled tandem mass spectrometry (LC-MS/MS) in human serum is challenging due to the wide dynamic range of serum protein abundances, the lack of a complete serum N-Glycan database and the existence of non-specifically digested peptides and numerous modifications. In this regard, a spectral library search method was presented for serum N-linked intact glycopeptides identification with target-decoy and motif-specific false discovery rate (FDR) control. Low-abundant glycoproteins were firstly separated from high-abundant proteins by acetonitrile (ACN) precipitation. After digestion, the N-linked intact glycopeptides were enriched by hydrophilic interaction liquid chromatography (HILIC) column and a portion of the enriched N-linked intact glycopeptides were processed by N-Glycosidase F (PNGase F) to generate de-glycopeptides. Both N-linked intact glycopeptides and de-glycopeptides were analyzed by LC-MS/MS. From N-linked de-glycopeptides datasets, 764 N-linked glycoproteins, 1,699 N-linked glycosites and 3,328 unique N-linked de-glycopeptides were identified. The spectra of these N-linked de-glycopeptides were utilized for N-linked de-glycopeptides library construction and identification of N-linked intact glycopeptides. Four types of N-linked glycosylation motifs (NXS/T/C/V, X≠P) were used to recognize the N-linked de-glycopeptides, and two different N-Glycan mass databases including 27 modified N-Glycan masses and 712 unmodified N-Glycan masses were combined and utilized during spectral library search for identification of N-linked intact glycopeptides. In total, from the N-linked intact glycopeptides datasets, 526 N-linked glycoproteins, 1,036 N-linked glycosites, 22,677 N-linked intact glycopeptides and 738 N-Glycan masses were identified under 1% FDR, representing the most in-depth serum N-glycoproteome identified by LC-MS/MS at N-linked intact glycopeptide level and N-linked de-glycopeptides level.