Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry

Zhijing Tan, Haidi Yin, Song Nie, Zhenxin Lin, Jianhui Zhu, Mack Ruffin, Michelle A. Anderson, Diane M. Simeone, David M. Lubman

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Glycosylation has significant effects on protein function and cell metastasis, which are important in cancer progression. It is of great interest to identify site-specific glycosylation in search of potential cancer biomarkers. However, the abundance of glycopeptides is low compared to that of nonglycopeptides after trypsin digestion of serum samples, and the mass spectrometric signals of glycopeptides are often masked by coeluting nonglycopeptides due to low ionization efficiency. Selective enrichment of glycopeptides from complex serum samples is essential for mass spectrometry (MS)-based analysis. Herein, a strategy has been optimized using LCA enrichment to improve the identification of core-fucosylation (CF) sites in serum of pancreatic cancer patients. The optimized strategy was then applied to analyze CF glycopeptide sites in 13 sets of serum samples from pancreatic cancer, chronic pancreatitis, healthy controls, and a standard reference. In total, 630 core-fucosylation sites were identified from 322 CF proteins in pancreatic cancer patient serum using an Orbitrap Elite mass spectrometer. Further data analysis revealed that 8 CF peptides exhibited a significant difference between pancreatic cancer and other controls, which may be potential diagnostic biomarkers for pancreatic cancer.

Original languageEnglish (US)
Pages (from-to)1968-1978
Number of pages11
JournalJournal of Proteome Research
Volume14
Issue number4
DOIs
StatePublished - Apr 3 2015

Fingerprint

Glycopeptides
Pancreatic Neoplasms
Mass spectrometry
Mass Spectrometry
Glycosylation
Serum
Biomarkers
Mass spectrometers
Tumor Biomarkers
Trypsin
Ionization
Chronic Pancreatitis
Proteins
Digestion
Peptides
Neoplasm Metastasis
Neoplasms

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Chemistry(all)

Cite this

Tan, Zhijing ; Yin, Haidi ; Nie, Song ; Lin, Zhenxin ; Zhu, Jianhui ; Ruffin, Mack ; Anderson, Michelle A. ; Simeone, Diane M. ; Lubman, David M. / Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry. In: Journal of Proteome Research. 2015 ; Vol. 14, No. 4. pp. 1968-1978.
@article{14777d38d8cb4c1ab8592a020d10c857,
title = "Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry",
abstract = "Glycosylation has significant effects on protein function and cell metastasis, which are important in cancer progression. It is of great interest to identify site-specific glycosylation in search of potential cancer biomarkers. However, the abundance of glycopeptides is low compared to that of nonglycopeptides after trypsin digestion of serum samples, and the mass spectrometric signals of glycopeptides are often masked by coeluting nonglycopeptides due to low ionization efficiency. Selective enrichment of glycopeptides from complex serum samples is essential for mass spectrometry (MS)-based analysis. Herein, a strategy has been optimized using LCA enrichment to improve the identification of core-fucosylation (CF) sites in serum of pancreatic cancer patients. The optimized strategy was then applied to analyze CF glycopeptide sites in 13 sets of serum samples from pancreatic cancer, chronic pancreatitis, healthy controls, and a standard reference. In total, 630 core-fucosylation sites were identified from 322 CF proteins in pancreatic cancer patient serum using an Orbitrap Elite mass spectrometer. Further data analysis revealed that 8 CF peptides exhibited a significant difference between pancreatic cancer and other controls, which may be potential diagnostic biomarkers for pancreatic cancer.",
author = "Zhijing Tan and Haidi Yin and Song Nie and Zhenxin Lin and Jianhui Zhu and Mack Ruffin and Anderson, {Michelle A.} and Simeone, {Diane M.} and Lubman, {David M.}",
year = "2015",
month = "4",
day = "3",
doi = "10.1021/acs.jproteome.5b00068",
language = "English (US)",
volume = "14",
pages = "1968--1978",
journal = "Journal of Proteome Research",
issn = "1535-3893",
publisher = "American Chemical Society",
number = "4",

}

Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry. / Tan, Zhijing; Yin, Haidi; Nie, Song; Lin, Zhenxin; Zhu, Jianhui; Ruffin, Mack; Anderson, Michelle A.; Simeone, Diane M.; Lubman, David M.

In: Journal of Proteome Research, Vol. 14, No. 4, 03.04.2015, p. 1968-1978.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry

AU - Tan, Zhijing

AU - Yin, Haidi

AU - Nie, Song

AU - Lin, Zhenxin

AU - Zhu, Jianhui

AU - Ruffin, Mack

AU - Anderson, Michelle A.

AU - Simeone, Diane M.

AU - Lubman, David M.

PY - 2015/4/3

Y1 - 2015/4/3

N2 - Glycosylation has significant effects on protein function and cell metastasis, which are important in cancer progression. It is of great interest to identify site-specific glycosylation in search of potential cancer biomarkers. However, the abundance of glycopeptides is low compared to that of nonglycopeptides after trypsin digestion of serum samples, and the mass spectrometric signals of glycopeptides are often masked by coeluting nonglycopeptides due to low ionization efficiency. Selective enrichment of glycopeptides from complex serum samples is essential for mass spectrometry (MS)-based analysis. Herein, a strategy has been optimized using LCA enrichment to improve the identification of core-fucosylation (CF) sites in serum of pancreatic cancer patients. The optimized strategy was then applied to analyze CF glycopeptide sites in 13 sets of serum samples from pancreatic cancer, chronic pancreatitis, healthy controls, and a standard reference. In total, 630 core-fucosylation sites were identified from 322 CF proteins in pancreatic cancer patient serum using an Orbitrap Elite mass spectrometer. Further data analysis revealed that 8 CF peptides exhibited a significant difference between pancreatic cancer and other controls, which may be potential diagnostic biomarkers for pancreatic cancer.

AB - Glycosylation has significant effects on protein function and cell metastasis, which are important in cancer progression. It is of great interest to identify site-specific glycosylation in search of potential cancer biomarkers. However, the abundance of glycopeptides is low compared to that of nonglycopeptides after trypsin digestion of serum samples, and the mass spectrometric signals of glycopeptides are often masked by coeluting nonglycopeptides due to low ionization efficiency. Selective enrichment of glycopeptides from complex serum samples is essential for mass spectrometry (MS)-based analysis. Herein, a strategy has been optimized using LCA enrichment to improve the identification of core-fucosylation (CF) sites in serum of pancreatic cancer patients. The optimized strategy was then applied to analyze CF glycopeptide sites in 13 sets of serum samples from pancreatic cancer, chronic pancreatitis, healthy controls, and a standard reference. In total, 630 core-fucosylation sites were identified from 322 CF proteins in pancreatic cancer patient serum using an Orbitrap Elite mass spectrometer. Further data analysis revealed that 8 CF peptides exhibited a significant difference between pancreatic cancer and other controls, which may be potential diagnostic biomarkers for pancreatic cancer.

UR - http://www.scopus.com/inward/record.url?scp=84926511903&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84926511903&partnerID=8YFLogxK

U2 - 10.1021/acs.jproteome.5b00068

DO - 10.1021/acs.jproteome.5b00068

M3 - Article

C2 - 25732060

AN - SCOPUS:84926511903

VL - 14

SP - 1968

EP - 1978

JO - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 4

ER -