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Cited by 282

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Exploring the Sialiome Using Titanium Dioxide Chromatography and Mass Spectrometry

Open access
Larsen, Martin R., Jensen, Søren S., Jakobsen, Lene A., Heegaard, Niels H.H.·2007·Molecular & Cellular Proteomics

Abstract

Strategies for biomarker discovery increasingly focus on biofluid protein and peptide expression patterns. Post-translational modifications contribute significantly to the pattern complexity and thereby increase the likelihood of obtaining specific biomarkers for diagnostics and disease monitoring. Glycosylation is a common post-translational modification that plays a role e.g. in cell adhesion and in cell-cell and receptor-ligand interactions. Abnormal protein glycosylation has important disease associations, and the glycoproteome is therefore a target for biomarker discovery. Here we present a simple and highly selective strategy for purification of sialic acid-containing glycopeptides (the sialiome) from complex peptide mixtures. The approach utilizes a high and selective affinity of sialic acids for titanium dioxide under specific buffer conditions. In combination with mass spectrometry we used this strategy to characterize the human plasma and saliva sialiomes where 192 and 97 glycosylation sites, respectively, were identified. Furthermore we illustrate the potential of this method in biomarker discovery.

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Metadata

Authors
Larsen, M. R., Jensen, S. S., Jakobsen, L. A., & Heegaard, N. H. H.
Venue
Molecular & Cellular Proteomics
Publisher
Elsevier BV
Published
2007-10
Volume
6
Issue
10
Pages
1778-1787
ISSN
1535-9476 (ISSN-L)
OpenAlex
W2154986824
Cited by
282
References
1
FWCI
5.03
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Exploring the Sialiome Using Titanium Dioxide Chromatography and Mass Spectrometry. https://app.cochat.ai/papers/10.1074/mcp.m700086-mcp200
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Larsen, M. R., Jensen, S. S., Jakobsen, L. A., & Heegaard, N. H. H. (2007). Exploring the Sialiome Using Titanium Dioxide Chromatography and Mass Spectrometry. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m700086-mcp200

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