Identification of secreted proteins regulated by cAMP in glioblastoma cells using glycopeptide capture and label-free quantification

被引:21
|
作者
Hill, Jennifer J. [1 ]
Moreno, Maria J. [1 ]
Lam, Jean C. Y. [1 ]
Haqqani, Arsalan S. [1 ]
Kelly, John F. [1 ]
机构
[1] Natl Res Council Canada, Inst Biol Sci, Ottawa, ON K1A 0R6, Canada
关键词
Cancer; Glioblastoma; Hydrazide; Mass spectrometry; N-linked glycosylation; N-GLYCOSIDASE-F; CHROMATOGRAPHY-MASS-SPECTROMETRY; TENASCIN-C EXPRESSION; HUMAN BRAIN-TUMORS; LIQUID-CHROMATOGRAPHY; LINKED GLYCOPROTEINS; HYDRAZIDE CHEMISTRY; GLYCOSYLATION SITES; CEREBROSPINAL-FLUID; SHOTGUN PROTEOMICS;
D O I
10.1002/pmic.200800257
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Exposure of glioblastoma U87MG cells to a cAMP analog leads to a decrease in proliferation, invasion, and angiogenic potential. Here, we apply a label-free MS-based approach to identify formerly N-linked glycopeptides that change in abundance upon cAMP treatment. Over 150 unique glycopeptides in three biological repetitions were quantified, leading to the identification of 14 upregulated proteins and 21 downregulated proteins due to cAMP treatment. Of these, eight have been validated, either through comparison with microarray data or by Western blot. We estimate our ability to identify differentially expressed peptides at greater than 85% in a single biological repetition, while the analysis of multiple biological repetitions lowers the false positive rate to similar to 2%. Many of the proteins identified in this study are involved in cell signaling and some, such as Tenascin C, Cathepsin L, Neuroblastoma suppressor of tumorigenicity, and AXL/UFO tyrosine-protein kinase receptor, have been previously shown to be involved in glioblastoma progression. We also identify several semitryptic peptides that increase in abundance upon cAMP treatment, suggesting that cAMP regulates protease activity in these cells. Overall, these results demonstrate the benefits of using a highly specific enrichment method for quantitative proteomic experiments.
引用
收藏
页码:535 / 549
页数:15
相关论文
共 50 条
  • [1] Label-Free Glycopeptide Quantification for Biomarker Discovery in Human Sera
    Mayampurath, Anoop
    Song, Ehwang
    Mathur, Abhinav
    Yu, Chuan-yih
    Harnmoud, Zane
    Mechref, Yehia
    Tang, Haixu
    JOURNAL OF PROTEOME RESEARCH, 2014, 13 (11) : 4821 - 4832
  • [2] Label-free proteomic approach to identification and quantification of proteins in animal tissue samples
    Gawor, Andrzej
    Konopka, Anna
    Elguera, Julio Cesar Torres
    Ruszczynska, Anna
    Czauderna, Marian
    Bulska, Ewa
    PROCEEDINGS OF THE 14TH INTERNATIONAL STUDENTS CONFERENCE MODERN ANALYTICAL CHEMISTRY, 2018, : 25 - 30
  • [3] Identification of proteins associated with Fusarium crown rot resistance in wheat using label-free quantification analysis
    Jin Jing-jing
    Duan Shuo-nan
    Qi Yong-zhi
    Zhen Wen-chao
    Ma Jun
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2021, 20 (12) : 3209 - 3221
  • [4] Identification of proteins associated with Fusarium crown rot resistance in wheat using label-free quantification analysis
    JIN Jing-jing
    DUAN Shuo-nan
    QI Yong-zhi
    ZHEN Wen-chao
    MA Jun
    JournalofIntegrativeAgriculture, 2021, 20 (12) : 3209 - 3221
  • [5] Identification of the neo-genesis of glioblastoma stem cells using label-free quantitative phase imaging
    Luther, Ed
    Mendes, Livia P.
    Torchilin, Vladimir P.
    CANCER RESEARCH, 2020, 80 (16)
  • [6] Label-Free Imaging of Single Proteins Secreted from Living Cells via iSCAT Microscopy
    Gemeinhardt, Andre
    McDonald, Matthew P.
    Koenig, Katharina
    Aigner, Michael
    Mackensen, Andreas
    Sandoghdar, Vahid
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2018, (141):
  • [7] Label-free Capture And Collection Of Target Cells Using A Surface Immobilizing Antibody
    Kimura, T.
    Nakamura, N.
    Hashimoto, Y.
    Sakaguchi, S.
    Kimura, S.
    Kishida, A.
    TISSUE ENGINEERING PART A, 2016, 22 : S148 - S148
  • [8] Label-Free Identification of White Blood Cells Using Machine Learning
    Nassar, Mariam
    Doan, Minh
    Filby, Andrew
    Wolkenhauer, Olaf
    Fogg, Darin K.
    Piasecka, Justyna
    Thornton, Catherine A.
    Carpenter, Anne E.
    Summers, Huw D.
    Rees, Paul
    Hennig, Holger
    CYTOMETRY PART A, 2019, 95A (08) : 836 - 842
  • [9] Label-free Identification of Nonelectrogenic Cancer Cells using Adhesion Noise
    Ell, Maximilian
    Zeitler, Ralf
    Thewes, Roland
    Zeck, Guenther
    2023 IEEE BIOSENSORS CONFERENCE, BIOSENSORS, 2023,
  • [10] Label-free quantification of small molecule interactions with membrane proteins in single cells by mechanical amplification
    Zhang, Fenni
    Jing, Wenwen
    Hunt, Ashley
    Yang, Yunze
    Wang, Shaopeng
    Tao, Nongjian
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 257