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Author Notes:

Correspondence to: Tongzhong Ju, M.D./Ph.D., ; Email: tju@emory.edu.

For author contributions and acknowledgements, see the full article.

The authors declare no competing financial interests.

Research Funding:

This work was supported by National Institutes of Health Grant U01CA168930 to TJ and RDC, P41GM103694 to RDC, Georgia Cancer Coalition (now Georgia Research Alliance, GRA) Award to TJ, and by Biotechnology and Biological Sciences Research Council grant BB/K016164/1 (AD and SMH for Core Support for Collaborative Research).

AD is supported by a Wellcome Trust Senior Investigator Award.

We also acknowledge support from the Emory Integrated Proteomics Core.

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Biochemical Research Methods
  • Biochemistry & Molecular Biology
  • SIALYL-LEWIS-X
  • PLURIPOTENT STEM-CELLS
  • MASS-SPECTROMETRY
  • IN-VITRO
  • CANCER
  • GLYCOSYLATION
  • TISSUES
  • DISEASE
  • ANTIGEN
  • COSMC
  • Carbohydrates
  • Glycobiology
  • Mass spectrometry

Cellular O-Glycome Reporter/Amplification to explore O-glycans of living cells

Tools:

Journal Title:

Nature Methods

Volume:

Volume 13, Number 1

Publisher:

, Pages 81-+

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Protein O-glycosylation has key roles in many biological processes, but the repertoire of O-glycans synthesized by cells is difficult to determine. Here we describe an approach termed Cellular O-Glycome Reporter/Amplification (CORA), a sensitive method used to amplify and profile mucin-type O-glycans synthesized by living cells. Cells convert added peracetylated benzyl-α-N-acetylgalactosamine to a large variety of modified O-glycan derivatives that are secreted from cells, allowing for easy purification for analysis by HPLC and mass spectrometry (MS). Relative to conventional O-glycan analyses, CORA resulted in an ∼100-1,000-fold increase in sensitivity and identified a more complex repertoire of O-glycans in more than a dozen cell types from Homo sapiens and Mus musculus. Furthermore, when coupled with computational modeling, CORA can be used for predictions about the diversity of the human O-glycome and offers new opportunities to identify novel glycan biomarkers for human diseases.

Copyright information:

© 2015, Rights Managed by Nature Publishing Group.

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